Merge pull request #586 from microsoft/update-translations
🌐 Update translations via Co-op Translator
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Lee Stott
GitHub
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"translation_date": "2025-12-12T19:10:52+00:00",
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"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
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"translation_date": "2025-12-17T13:45:14+00:00",
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| الذكاء الاصطناعي للمبتدئين - _رسم توضيحي من [@girlie_mac](https://twitter.com/girlie_mac)_ |
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استكشف عالم **الذكاء الاصطناعي** (AI) من خلال منهجنا الدراسي الممتد على مدار 12 أسبوعًا و24 درسًا! يتضمن دروسًا عملية، اختبارات، وتجارب مخبرية. المنهج مناسب للمبتدئين ويغطي أدوات مثل TensorFlow وPyTorch، بالإضافة إلى أخلاقيات الذكاء الاصطناعي.
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استكشف عالم **الذكاء الاصطناعي** (AI) من خلال منهج دراسي يمتد على مدار 12 أسبوعًا و24 درسًا! يتضمن دروسًا عملية، اختبارات، ومعامل. المنهج مناسب للمبتدئين ويغطي أدوات مثل TensorFlow وPyTorch، بالإضافة إلى أخلاقيات الذكاء الاصطناعي.
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### 🌐 دعم متعدد اللغات
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#### مدعوم عبر GitHub Action (تحديث تلقائي ودائم)
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#### مدعوم عبر GitHub Action (تلقائي ومحدث دائمًا)
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[العربية](./README.md) | [البنغالية](../bn/README.md) | [البلغارية](../bg/README.md) | [البورمية (ميانمار)](../my/README.md) | [الصينية (المبسطة)](../zh/README.md) | [الصينية (التقليدية، هونغ كونغ)](../hk/README.md) | [الصينية (التقليدية، ماكاو)](../mo/README.md) | [الصينية (التقليدية، تايوان)](../tw/README.md) | [الكرواتية](../hr/README.md) | [التشيكية](../cs/README.md) | [الدانماركية](../da/README.md) | [الهولندية](../nl/README.md) | [الإستونية](../et/README.md) | [الفنلندية](../fi/README.md) | [الفرنسية](../fr/README.md) | [الألمانية](../de/README.md) | [اليونانية](../el/README.md) | [العبرية](../he/README.md) | [الهندية](../hi/README.md) | [الهنغارية](../hu/README.md) | [الإندونيسية](../id/README.md) | [الإيطالية](../it/README.md) | [اليابانية](../ja/README.md) | [الكانادا](../kn/README.md) | [الكورية](../ko/README.md) | [الليتوانية](../lt/README.md) | [الماليزية](../ms/README.md) | [المالايالامية](../ml/README.md) | [الماراثية](../mr/README.md) | [النيبالية](../ne/README.md) | [البيجين النيجيرية](../pcm/README.md) | [النرويجية](../no/README.md) | [الفارسية (الفارسية)](../fa/README.md) | [البولندية](../pl/README.md) | [البرتغالية (البرازيل)](../br/README.md) | [البرتغالية (البرتغال)](../pt/README.md) | [البنجابية (غورموخي)](../pa/README.md) | [الرومانية](../ro/README.md) | [الروسية](../ru/README.md) | [الصربية (السيريلية)](../sr/README.md) | [السلوفاكية](../sk/README.md) | [السلوفينية](../sl/README.md) | [الإسبانية](../es/README.md) | [السواحيلية](../sw/README.md) | [السويدية](../sv/README.md) | [التاغالوغية (الفلبينية)](../tl/README.md) | [التاميلية](../ta/README.md) | [التيلجو](../te/README.md) | [التايلاندية](../th/README.md) | [التركية](../tr/README.md) | [الأوكرانية](../uk/README.md) | [الأردية](../ur/README.md) | [الفيتنامية](../vi/README.md)
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[Arabic](./README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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**إذا كنت ترغب في دعم لغات إضافية، يمكنك الاطلاع على القائمة [هنا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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في هذا المنهج، ستتعلم:
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* طرق مختلفة للذكاء الاصطناعي، بما في ذلك النهج الرمزي التقليدي مع **تمثيل المعرفة** والاستدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **الشبكات العصبية** و**التعلم العميق**، وهما جوهر الذكاء الاصطناعي الحديث. سنوضح المفاهيم وراء هذه المواضيع المهمة باستخدام الكود في اثنين من أكثر الأطر شيوعًا - [TensorFlow](http://Tensorflow.org) و[PyTorch](http://pytorch.org).
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* **الشبكات العصبية** و**التعلم العميق**، التي تشكل جوهر الذكاء الاصطناعي الحديث. سنوضح المفاهيم وراء هذه المواضيع المهمة باستخدام الكود في اثنين من أكثر الأطر شيوعًا - [TensorFlow](http://Tensorflow.org) و[PyTorch](http://pytorch.org).
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* **الهياكل العصبية** للعمل مع الصور والنصوص. سنغطي النماذج الحديثة ولكن قد نفتقر قليلاً إلى أحدث التقنيات.
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* طرق أقل شيوعًا في الذكاء الاصطناعي، مثل **الخوارزميات الجينية** و**أنظمة الوكلاء المتعددة**.
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* حالات استخدام **الذكاء الاصطناعي في الأعمال**. يمكنك أخذ دورة [مقدمة إلى الذكاء الاصطناعي لمستخدمي الأعمال](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) على Microsoft Learn، أو [مدرسة الأعمال للذكاء الاصطناعي](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)، التي تم تطويرها بالتعاون مع [INSEAD](https://www.insead.edu/).
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* **التعلم الآلي الكلاسيكي**، الذي تم وصفه بشكل جيد في [منهج التعلم الآلي للمبتدئين](http://github.com/Microsoft/ML-for-Beginners).
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* تطبيقات الذكاء الاصطناعي العملية المبنية باستخدام **[الخدمات المعرفية](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. نوصي بالبدء مع وحدات Microsoft Learn لـ [الرؤية](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [معالجة اللغة الطبيعية](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[الذكاء الاصطناعي التوليدي مع خدمة Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** وغيرها.
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* أطر عمل السحابة الخاصة بالتعلم الآلي مثل [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، أو [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). يمكنك استخدام [بناء وتشغيل حلول التعلم الآلي باستخدام Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و[بناء وتشغيل حلول التعلم الآلي باستخدام Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
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* تطبيقات الذكاء الاصطناعي العملية المبنية باستخدام **[الخدمات المعرفية](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. لهذا، نوصي بالبدء مع وحدات Microsoft Learn لـ [الرؤية](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [معالجة اللغة الطبيعية](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[الذكاء الاصطناعي التوليدي مع خدمة Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** وغيرها.
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* أطر عمل السحابة الخاصة بالتعلم الآلي مثل [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، أو [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). يمكنك استخدام [بناء وتشغيل حلول التعلم الآلي مع Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و[بناء وتشغيل حلول التعلم الآلي مع Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
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* **الذكاء الاصطناعي الحواري** و**روبوتات الدردشة**. هناك مسار تعليمي منفصل [إنشاء حلول الذكاء الاصطناعي الحواري](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)، ويمكنك أيضًا الرجوع إلى [هذا المنشور](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) لمزيد من التفاصيل.
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* **الرياضيات العميقة** وراء التعلم العميق. لهذا، نوصي بكتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) من تأليف إيان جودفيلو، يوشوا بنجيو وآرون كورفيل، والمتوفر أيضًا عبر الإنترنت على [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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# المحتوى
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| | رابط الدرس | PyTorch/Keras/TensorFlow | مختبر |
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| | رابط الدرس | PyTorch/Keras/TensorFlow | المعمل |
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| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
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| 0 | [إعداد الدورة](./lessons/0-course-setup/setup.md) | [إعداد بيئة التطوير الخاصة بك](./lessons/0-course-setup/how-to-run.md) | |
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| I | [**مقدمة إلى الذكاء الاصطناعي**](./lessons/1-Intro/README.md) | | |
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| 07 | [الشبكات العصبية الالتفافية](./lessons/4-ComputerVision/07-ConvNets/README.md) & [هياكل CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [مختبر](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
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| 08 | [الشبكات المدربة مسبقًا والتعلم بالنقل](./lessons/4-ComputerVision/08-TransferLearning/README.md) و [حيل التدريب](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [مختبر](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
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| 09 | [المشفّرات التلقائية و VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
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| 10 | [الشبكات التوليدية العدائية ونقل الأسلوب الفني](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
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| 10 | [الشبكات التوليدية التنافسية ونقل الأسلوب الفني](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
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| 11 | [كشف الأجسام](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [مختبر](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
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| 12 | [التجزئة الدلالية. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
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| V | [**معالجة اللغة الطبيعية**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [استكشاف معالجة اللغة الطبيعية على Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
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| 17 | [الشبكات التوليدية المتكررة](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [مختبر](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
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| 18 | [المحوّلات. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
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| 19 | [التعرف على الكيانات المسماة](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [مختبر](./lessons/5-NLP/19-NER/lab/README.md) |
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| 20 | [نماذج اللغة الكبيرة، برمجة التوجيه والمهام قليلة الأمثلة](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
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| 20 | [نماذج اللغة الكبيرة، برمجة المطالبات والمهام قليلة الأمثلة](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
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| VI | **تقنيات الذكاء الاصطناعي الأخرى** || |
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| 21 | [الخوارزميات الجينية](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [دفتر ملاحظات](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
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| 22 | [التعلم العميق المعزز](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [مختبر](./lessons/6-Other/22-DeepRL/lab/README.md) |
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| 23 | [أنظمة الوكلاء المتعددة](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
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| VII | **أخلاقيات الذكاء الاصطناعي** | | |
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| 24 | [أخلاقيات الذكاء الاصطناعي والذكاء الاصطناعي المسؤول](./lessons/7-Ethics/README.md) | [Microsoft Learn: مبادئ الذكاء الاصطناعي المسؤول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [أخلاقيات الذكاء الاصطناعي والذكاء الاصطناعي المسؤول](./lessons/7-Ethics/README.md) | [Microsoft Learn: Responsible AI Principles](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **إضافات** | | |
|
||||
| 25 | [الشبكات متعددة الوسائط، CLIP و VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [دفتر ملاحظات](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## تحتوي كل درس على
|
||||
|
||||
* مواد قراءة مسبقة
|
||||
* مواد للقراءة المسبقة
|
||||
* دفاتر ملاحظات Jupyter القابلة للتنفيذ، والتي غالبًا ما تكون مخصصة للإطار (**PyTorch** أو **TensorFlow**). يحتوي دفتر الملاحظات القابل للتنفيذ أيضًا على الكثير من المواد النظرية، لذا لفهم الموضوع، تحتاج إلى مراجعة نسخة واحدة على الأقل من دفتر الملاحظات (إما PyTorch أو TensorFlow).
|
||||
* **مختبرات** متوفرة لبعض المواضيع، والتي تمنحك فرصة لتطبيق المواد التي تعلمتها على مشكلة محددة.
|
||||
* تحتوي بعض الأقسام على روابط إلى [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) التي تغطي مواضيع ذات صلة.
|
||||
|
|
@ -127,7 +127,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### 📚 إعداد المنهج الكامل
|
||||
|
||||
- لقد قمنا بإنشاء [درس إعداد](./lessons/0-course-setup/setup.md) لمساعدتك في إعداد بيئة التطوير الخاصة بك. - وللمعلمين، قمنا بإنشاء [درس إعداد المناهج](./lessons/0-course-setup/for-teachers.md) لكم أيضًا!
|
||||
- قمنا بإنشاء [درس إعداد](./lessons/0-course-setup/setup.md) لمساعدتك في إعداد بيئة التطوير الخاصة بك. - وللمعلمين، قمنا بإنشاء [درس إعداد المناهج](./lessons/0-course-setup/for-teachers.md) خصيصًا لكم!
|
||||
- كيفية [تشغيل الكود في VSCode أو Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
اتبع هذه الخطوات:
|
||||
|
|
@ -136,11 +136,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
قم باستنساخ المستودع: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
لا تنسَ وضع نجمة (🌟) على هذا المستودع لتجده بسهولة لاحقًا.
|
||||
لا تنسَ وضع نجمة (🌟) على هذا المستودع لتسهيل العثور عليه لاحقًا.
|
||||
|
||||
## تعرف على متعلمين آخرين
|
||||
|
||||
انضم إلى [خادم Discord الرسمي للذكاء الاصطناعي](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) للتواصل مع متعلمين آخرين يأخذون هذا الدورة والحصول على الدعم.
|
||||
انضم إلى [خادم Discord الرسمي للذكاء الاصطناعي](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) للتواصل مع متعلمين آخرين يأخذون هذا المساق واحصل على الدعم.
|
||||
|
||||
إذا كان لديك ملاحظات على المنتج أو أسئلة أثناء البناء، قم بزيارة [منتدى مطوري Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
فريقنا ينتج مناهج أخرى! تحقق من:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,11 +204,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## الحصول على المساعدة
|
||||
|
||||
إذا واجهت صعوبة أو كانت لديك أسئلة حول بناء تطبيقات الذكاء الاصطناعي. انضم إلى زملائك المتعلمين والمطورين ذوي الخبرة في مناقشات حول MCP. إنها مجتمع داعم حيث يتم الترحيب بالأسئلة ومشاركة المعرفة بحرية.
|
||||
إذا واجهت صعوبة أو كانت لديك أسئلة حول بناء تطبيقات الذكاء الاصطناعي. انضم إلى متعلمين آخرين ومطورين ذوي خبرة في مناقشات حول MCP. إنها مجتمع داعم حيث يتم الترحيب بالأسئلة ومشاركة المعرفة بحرية.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
إذا كانت لديك ملاحظات على المنتج أو أخطاء أثناء البناء، قم بزيارة:
|
||||
إذا كان لديك ملاحظات على المنتج أو أخطاء أثناء البناء، قم بزيارة:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**إخلاء المسؤولية**:
|
||||
تم ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الموثوق. للحصول على معلومات حاسمة، يُوصى بالترجمة البشرية الاحترافية. نحن غير مسؤولين عن أي سوء فهم أو تفسيرات خاطئة ناتجة عن استخدام هذه الترجمة.
|
||||
تمت ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية هو المصدر الموثوق. للحصول على معلومات حاسمة، يُوصى بالترجمة البشرية الاحترافية. نحن غير مسؤولين عن أي سوء فهم أو تفسيرات خاطئة ناتجة عن استخدام هذه الترجمة.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:15:41+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:54:47+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "bg"
|
||||
}
|
||||
|
|
@ -23,44 +23,44 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# Изкуствен интелект за начинаещи - Учебна програма
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Скетч от [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Скица от [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Разгледайте света на **Изкуствения интелект** (AI) с нашата 12-седмична учебна програма, включваща 24 урока! Тя включва практически уроци, тестове и лабораторни упражнения. Програмата е подходяща за начинаещи и обхваща инструменти като TensorFlow и PyTorch, както и етика в AI.
|
||||
Изследвайте света на **Изкуствения интелект** (AI) с нашата 12-седмична учебна програма, състояща се от 24 урока! Тя включва практически уроци, тестове и лабораторни упражнения. Програмата е подходяща за начинаещи и обхваща инструменти като TensorFlow и PyTorch, както и етика в AI.
|
||||
|
||||
### 🌐 Поддръжка на много езици
|
||||
|
||||
#### Поддържано чрез GitHub Action (Автоматизирано и винаги актуално)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](./README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
[Арабски](../ar/README.md) | [Бенгалски](../bn/README.md) | [Български](./README.md) | [Бирмански (Мианмар)](../my/README.md) | [Китайски (опростен)](../zh/README.md) | [Китайски (традиционен, Хонг Конг)](../hk/README.md) | [Китайски (традиционен, Макао)](../mo/README.md) | [Китайски (традиционен, Тайван)](../tw/README.md) | [Хърватски](../hr/README.md) | [Чешки](../cs/README.md) | [Датски](../da/README.md) | [Холандски](../nl/README.md) | [Естонски](../et/README.md) | [Фински](../fi/README.md) | [Френски](../fr/README.md) | [Немски](../de/README.md) | [Гръцки](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Унгарски](../hu/README.md) | [Индонезийски](../id/README.md) | [Италиански](../it/README.md) | [Японски](../ja/README.md) | [Каннада](../kn/README.md) | [Корейски](../ko/README.md) | [Литовски](../lt/README.md) | [Малайски](../ms/README.md) | [Малаялам](../ml/README.md) | [Марати](../mr/README.md) | [Непалски](../ne/README.md) | [Нигерийски пиджин](../pcm/README.md) | [Норвежки](../no/README.md) | [Персийски (фарси)](../fa/README.md) | [Полски](../pl/README.md) | [Португалски (Бразилия)](../br/README.md) | [Португалски (Португалия)](../pt/README.md) | [Пенджабски (Гурмукхи)](../pa/README.md) | [Румънски](../ro/README.md) | [Руски](../ru/README.md) | [Сръбски (кирилица)](../sr/README.md) | [Словашки](../sk/README.md) | [Словенски](../sl/README.md) | [Испански](../es/README.md) | [Суахили](../sw/README.md) | [Шведски](../sv/README.md) | [Тагалог (Филипински)](../tl/README.md) | [Тамилски](../ta/README.md) | [Телугу](../te/README.md) | [Тайландски](../th/README.md) | [Турски](../tr/README.md) | [Украински](../uk/README.md) | [Урду](../ur/README.md) | [Виетнамски](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ако желаете да добавите допълнителни преводи, списъкът с поддържани езици е [тук](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Ако желаете да добавите допълнителни преводи, поддържаните езици са изброени [тук](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Присъединете се към общността
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Какво ще научите
|
||||
|
||||
**[Ментална карта на курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Мисловна карта на курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
В тази учебна програма ще научите:
|
||||
|
||||
* Различни подходи към Изкуствения интелект, включително "стария добър" символичен подход с **Представяне на знания** и разсъждение ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Различни подходи към Изкуствения интелект, включително "добрия стар" символичен подход с **Представяне на знания** и разсъждения ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Невронни мрежи** и **Дълбоко обучение**, които са в основата на съвременния AI. Ще илюстрираме концепциите зад тези важни теми с код в две от най-популярните рамки - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org).
|
||||
* **Невронни архитектури** за работа с изображения и текст. Ще разгледаме съвременни модели, но може да липсват най-новите разработки.
|
||||
* **Невронни архитектури** за работа с изображения и текст. Ще разгледаме съвременни модели, но може да липсва най-новото.
|
||||
* По-малко популярни подходи в AI, като **Генетични алгоритми** и **Мултиагентни системи**.
|
||||
|
||||
Какво няма да покрием в тази учебна програма:
|
||||
Какво няма да обхванем в тази учебна програма:
|
||||
|
||||
> [Намерете всички допълнителни ресурси за този курс в нашата колекция Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Бизнес случаи за използване на **AI в бизнеса**. Помислете за преминаване на [Въведение в AI за бизнес потребители](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) учебен път на Microsoft Learn или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработен в сътрудничество с [INSEAD](https://www.insead.edu/).
|
||||
* Бизнес случаи за използване на **AI в бизнеса**. Помислете за преминаване на [Въведение в AI за бизнес потребители](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработено в сътрудничество с [INSEAD](https://www.insead.edu/).
|
||||
* **Класическо машинно обучение**, което е добре описано в нашата [Учебна програма за машинно обучение за начинаещи](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Практически приложения на AI, изградени с **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За това препоръчваме да започнете с модули Microsoft Learn за [визия](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработка на естествен език](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративен AI с Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и други.
|
||||
* Специфични ML **облачни рамки**, като [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Помислете за използване на [Изграждане и управление на решения за машинно обучение с Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Изграждане и управление на решения за машинно обучение с Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) учебни пътища.
|
||||
* Практически AI приложения, изградени с помощта на **[Когнитивни услуги](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За това препоръчваме да започнете с модулите Microsoft Learn за [визия](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработка на естествен език](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративен AI с Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и други.
|
||||
* Специфични ML **облачни рамки**, като [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Помислете за използване на [Изграждане и управление на решения за машинно обучение с Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Изграждане и управление на решения за машинно обучение с Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Разговорен AI** и **чат ботове**. Има отделен [Създаване на решения за разговорен AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) учебен път, а също така можете да се обърнете към [тази публикация в блога](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) за повече подробности.
|
||||
* **Дълбока математика** зад дълбокото обучение. За това бихме препоръчали [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) от Ian Goodfellow, Yoshua Bengio и Aaron Courville, която също е достъпна онлайн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
|
|
@ -70,7 +70,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
| | Връзка към урока | PyTorch/Keras/TensorFlow | Лаборатория |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Настройка на курса](./lessons/0-course-setup/setup.md) | [Настройте вашата среда за разработка](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Настройка на курса](./lessons/0-course-setup/setup.md) | [Настройте своята среда за разработка](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Въведение в AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Въведение и история на AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Символичен AI** |
|
||||
|
|
@ -108,9 +108,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
## Всяка лекция съдържа
|
||||
|
||||
* Материали за предварително четене
|
||||
* Изпълними Jupyter тетрадки, които често са специфични за рамката (**PyTorch** или **TensorFlow**). Изпълнимата тетрадка също съдържа много теоретичен материал, така че за да разберете темата, трябва да преминете поне през една версия на тетрадката (PyTorch или TensorFlow).
|
||||
* Изпълними Jupyter тетрадки, които често са специфични за рамката (**PyTorch** или **TensorFlow**). Изпълнимата тетрадка също съдържа много теоретичен материал, така че за да разберете темата, трябва да преминете през поне една версия на тетрадката (PyTorch или TensorFlow).
|
||||
* **Лаборатории**, налични за някои теми, които ви дават възможност да приложите наученото към конкретен проблем.
|
||||
* Някои секции съдържат връзки към модули в [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), които обхващат свързани теми.
|
||||
* Някои секции съдържат връзки към модули на [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), които обхващат свързани теми.
|
||||
|
||||
## Започнете
|
||||
|
||||
|
|
@ -132,11 +132,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Следвайте тези стъпки:
|
||||
|
||||
Форкнете хранилището: Кликнете върху бутона "Fork" в горния десен ъгъл на тази страница.
|
||||
1. Форкнете хранилището: Кликнете върху бутона "Fork" в горния десен ъгъл на тази страница.
|
||||
|
||||
Клонирайте хранилището: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
2. Клонирайте хранилището: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Не забравяйте да дадете звезда (🌟) на това хранилище, за да го намерите по-лесно по-късно.
|
||||
Не забравяйте да добавите звезда (🌟) на това хранилище, за да го намерите по-лесно по-късно.
|
||||
|
||||
## Запознайте се с други обучаващи се
|
||||
|
||||
|
|
@ -164,37 +164,43 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Нашият екип създава и други учебни програми! Разгледайте:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Агенти
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Серия за генеративен AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Основно обучение
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Серия за Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Получаване на помощ
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Отказ от отговорност**:
|
||||
Този документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматизираните преводи може да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да е недоразумения или погрешни интерпретации, произтичащи от използването на този превод.
|
||||
Този документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматичните преводи може да съдържат грешки или неточности. Оригиналният документ на неговия оригинален език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да било недоразумения или погрешни интерпретации, произтичащи от използването на този превод.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:28:45+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:12:45+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "bn"
|
||||
}
|
||||
|
|
@ -23,21 +23,21 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# কৃত্রিম বুদ্ধিমত্তা শিক্ষার্থীদের জন্য - একটি পাঠ্যক্রম
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| কৃত্রিম বুদ্ধিমত্তা শিক্ষার্থীদের জন্য - _স্কেচনোট [@girlie_mac](https://twitter.com/girlie_mac) দ্বারা_ |
|
||||
| শিক্ষার্থীদের জন্য কৃত্রিম বুদ্ধিমত্তা - _স্কেচনোট [@girlie_mac](https://twitter.com/girlie_mac) দ্বারা_ |
|
||||
|
||||
**কৃত্রিম বুদ্ধিমত্তা** (AI)-এর জগৎ অন্বেষণ করুন আমাদের ১২ সপ্তাহের, ২৪টি পাঠের পাঠ্যক্রমের মাধ্যমে! এতে রয়েছে ব্যবহারিক পাঠ, কুইজ এবং ল্যাব। এই পাঠ্যক্রমটি শিক্ষার্থীবান্ধব এবং এতে TensorFlow এবং PyTorch-এর মতো টুলস এবং AI-এর নৈতিকতা অন্তর্ভুক্ত।
|
||||
**কৃত্রিম বুদ্ধিমত্তা** (AI)-এর জগৎ অন্বেষণ করুন আমাদের ১২-সপ্তাহের, ২৪-টি পাঠের পাঠ্যক্রমের মাধ্যমে! এতে রয়েছে ব্যবহারিক পাঠ, কুইজ এবং ল্যাব। এই পাঠ্যক্রমটি শিক্ষার্থীবান্ধব এবং TensorFlow ও PyTorch-এর মতো টুলস এবং AI-এর নৈতিকতা নিয়ে আলোচনা করে।
|
||||
|
||||
### 🌐 বহু-ভাষার সমর্থন
|
||||
### 🌐 বহু-ভাষা সমর্থন
|
||||
|
||||
#### GitHub Action এর মাধ্যমে সমর্থিত (স্বয়ংক্রিয় এবং সর্বদা আপডেটেড)
|
||||
#### GitHub Action-এর মাধ্যমে সমর্থিত (স্বয়ংক্রিয় এবং সর্বদা আপডেটেড)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](./README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**যদি আপনি অতিরিক্ত অনুবাদের ভাষা যোগ করতে চান, তবে [এখানে](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) তালিকাভুক্ত ভাষাগুলি সমর্থিত।**
|
||||
**যদি আপনি অতিরিক্ত অনুবাদ সমর্থন চান, তাহলে এখানে তালিকাভুক্ত ভাষাগুলি দেখুন [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## সম্প্রদায়ে যোগ দিন
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -46,36 +46,36 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
**[কোর্সের মানচিত্র](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
এই পাঠ্যক্রমে, আপনি শিখবেন:
|
||||
এই পাঠ্যক্রমে আপনি শিখবেন:
|
||||
|
||||
* কৃত্রিম বুদ্ধিমত্তার বিভিন্ন পদ্ধতি, যার মধ্যে রয়েছে "পুরনো ভালো" প্রতীকী পদ্ধতি **জ্ঞান উপস্থাপনা** এবং যুক্তি ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **নিউরাল নেটওয়ার্ক** এবং **ডিপ লার্নিং**, যা আধুনিক AI-এর মূল। আমরা এই গুরুত্বপূর্ণ বিষয়গুলির ধারণাগুলি ব্যাখ্যা করব দুটি জনপ্রিয় ফ্রেমওয়ার্ক - [TensorFlow](http://Tensorflow.org) এবং [PyTorch](http://pytorch.org)-এ কোড ব্যবহার করে।
|
||||
* চিত্র এবং টেক্সট নিয়ে কাজ করার জন্য **নিউরাল আর্কিটেকচার**। আমরা সাম্প্রতিক মডেলগুলি কভার করব তবে কিছু ক্ষেত্রে সর্বাধুনিক প্রযুক্তি থেকে পিছিয়ে থাকতে পারি।
|
||||
* কৃত্রিম বুদ্ধিমত্তার বিভিন্ন পদ্ধতি, যার মধ্যে রয়েছে "পুরনো" প্রতীকী পদ্ধতি **জ্ঞান উপস্থাপনা** এবং যুক্তি ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **নিউরাল নেটওয়ার্ক** এবং **ডিপ লার্নিং**, যা আধুনিক AI-এর মূল। আমরা এই গুরুত্বপূর্ণ বিষয়গুলির ধারণাগুলি ব্যাখ্যা করব দুটি জনপ্রিয় ফ্রেমওয়ার্ক - [TensorFlow](http://Tensorflow.org) এবং [PyTorch](http://pytorch.org)-এর কোড ব্যবহার করে।
|
||||
* চিত্র এবং পাঠ্যের সাথে কাজ করার জন্য **নিউরাল আর্কিটেকচার**। আমরা সাম্প্রতিক মডেলগুলি কভার করব তবে কিছু ক্ষেত্রে সর্বাধুনিক প্রযুক্তি অনুপস্থিত থাকতে পারে।
|
||||
* কম জনপ্রিয় AI পদ্ধতি, যেমন **জেনেটিক অ্যালগরিদম** এবং **মাল্টি-এজেন্ট সিস্টেম**।
|
||||
|
||||
এই পাঠ্যক্রমে যা অন্তর্ভুক্ত করা হবে না:
|
||||
|
||||
> [এই কোর্সের জন্য সমস্ত অতিরিক্ত সম্পদ আমাদের Microsoft Learn সংগ্রহে খুঁজুন](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **ব্যবসায়ে AI ব্যবহারের ব্যবসায়িক কেস**। Microsoft Learn-এ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) শেখার পথ বা [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), যা [INSEAD](https://www.insead.edu/)-এর সহযোগিতায় তৈরি করা হয়েছে, গ্রহণ করার কথা বিবেচনা করুন।
|
||||
* **ক্লাসিক মেশিন লার্নিং**, যা আমাদের [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)-এ ভালোভাবে বর্ণিত।
|
||||
* **ব্যবসায়ে AI ব্যবহারের ব্যবসায়িক কেস**। Microsoft Learn-এ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) বা [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), যা [INSEAD](https://www.insead.edu/)-এর সহযোগিতায় তৈরি করা হয়েছে, গ্রহণ করার কথা বিবেচনা করুন।
|
||||
* **ক্লাসিক মেশিন লার্নিং**, যা আমাদের [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)-এ ভালোভাবে বর্ণনা করা হয়েছে।
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ব্যবহার করে তৈরি করা ব্যবহারিক AI অ্যাপ্লিকেশন। এর জন্য, আমরা Microsoft Learn-এর [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** এবং অন্যান্য মডিউল দিয়ে শুরু করার পরামর্শ দিই।
|
||||
* নির্দিষ্ট ML **ক্লাউড ফ্রেমওয়ার্ক**, যেমন [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), বা [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) এবং [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) শেখার পথ ব্যবহার করার কথা বিবেচনা করুন।
|
||||
* **কথোপকথন AI** এবং **চ্যাট বট**। এর জন্য একটি পৃথক [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) শেখার পথ রয়েছে এবং আরও বিশদ জানতে [এই ব্লগ পোস্টটি](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) দেখতে পারেন।
|
||||
* **ডিপ ম্যাথমেটিক্স** যা ডিপ লার্নিংয়ের পেছনে কাজ করে। এর জন্য, আমরা [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) বইটি পড়ার পরামর্শ দিই, যা Ian Goodfellow, Yoshua Bengio এবং Aaron Courville দ্বারা রচিত এবং অনলাইনে [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) এ উপলব্ধ।
|
||||
* নির্দিষ্ট ML **ক্লাউড ফ্রেমওয়ার্ক**, যেমন [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), বা [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) এবং [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) শেখার পথগুলি ব্যবহার করার কথা বিবেচনা করুন।
|
||||
* **কথোপকথন AI** এবং **চ্যাট বট**। এর জন্য একটি পৃথক [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) শেখার পথ রয়েছে এবং আরও বিস্তারিত জানার জন্য আপনি [এই ব্লগ পোস্টটি](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) দেখতে পারেন।
|
||||
* **ডিপ লার্নিং-এর গভীর গণিত**। এর জন্য, আমরা [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) বইটি সুপারিশ করি, যা Ian Goodfellow, Yoshua Bengio এবং Aaron Courville দ্বারা রচিত এবং অনলাইনে [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) এ উপলব্ধ।
|
||||
|
||||
ক্লাউডে _AI_-এর একটি সহজ ভূমিকা পেতে, আপনি [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) শেখার পথ গ্রহণ করার কথা বিবেচনা করতে পারেন।
|
||||
_ক্লাউডে AI_-এর বিষয়গুলির একটি সহজ পরিচয়ের জন্য আপনি [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) শেখার পথটি গ্রহণ করতে পারেন।
|
||||
|
||||
# বিষয়বস্তু
|
||||
|
||||
| | পাঠের লিঙ্ক | PyTorch/Keras/TensorFlow | ল্যাব |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [কোর্স সেটআপ](./lessons/0-course-setup/setup.md) | [আপনার ডেভেলপমেন্ট এনভায়রনমেন্ট সেটআপ করুন](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI-তে পরিচিতি**](./lessons/1-Intro/README.md) | | |
|
||||
| I | [**AI-এর পরিচিতি**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI-এর পরিচিতি এবং ইতিহাস](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **প্রতীকী AI** |
|
||||
| 02 | [জ্ঞান উপস্থাপনা এবং বিশেষজ্ঞ সিস্টেম](./lessons/2-Symbolic/README.md) | [বিশেষজ্ঞ সিস্টেম](./lessons/2-Symbolic/Animals.ipynb) / [অন্তর্ভুক্তি](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ধারণা গ্রাফ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**নিউরাল নেটওয়ার্কে পরিচিতি**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| III | [**নিউরাল নেটওয়ার্কের পরিচিতি**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [পারসেপট্রন](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [নোটবুক](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ল্যাব](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [মাল্টি-লেয়ার পারসেপট্রন এবং আমাদের নিজস্ব ফ্রেমওয়ার্ক তৈরি করা](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [নোটবুক](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ল্যাব](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ফ্রেমওয়ার্কের পরিচিতি (PyTorch/TensorFlow) এবং ওভারফিটিং](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ল্যাব](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
|
|
@ -103,12 +103,12 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| VII | **AI নৈতিকতা** | | |
|
||||
| 24 | [AI নৈতিকতা এবং দায়িত্বশীল AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: দায়িত্বশীল AI নীতিমালা](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **অতিরিক্ত বিষয়** | | |
|
||||
| 25 | [মাল্টি-মোডাল নেটওয়ার্ক, CLIP এবং VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [নোটবুক](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [মাল্টি-মডাল নেটওয়ার্ক, CLIP এবং VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [নোটবুক](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## প্রতিটি পাঠে অন্তর্ভুক্ত
|
||||
|
||||
* প্রি-রিডিং উপকরণ
|
||||
* কার্যকরী Jupyter নোটবুক, যা প্রায়শই নির্দিষ্ট ফ্রেমওয়ার্ক (**PyTorch** বা **TensorFlow**) এর জন্য তৈরি। কার্যকরী নোটবুকে প্রচুর তাত্ত্বিক উপকরণও থাকে, তাই বিষয়টি বুঝতে হলে আপনাকে অন্তত একটি সংস্করণ (PyTorch বা TensorFlow) নোটবুকের মধ্য দিয়ে যেতে হবে।
|
||||
* কার্যকরী Jupyter নোটবুক, যা প্রায়ই নির্দিষ্ট ফ্রেমওয়ার্ক (**PyTorch** বা **TensorFlow**) এর জন্য তৈরি। কার্যকরী নোটবুকে প্রচুর তাত্ত্বিক উপকরণও থাকে, তাই বিষয়টি বুঝতে হলে আপনাকে অন্তত একটি সংস্করণ (PyTorch বা TensorFlow) নোটবুকের মধ্য দিয়ে যেতে হবে।
|
||||
* **ল্যাব** কিছু বিষয়ের জন্য উপলব্ধ, যা আপনাকে শিখানো উপকরণ একটি নির্দিষ্ট সমস্যায় প্রয়োগ করার সুযোগ দেয়।
|
||||
* কিছু বিভাগে [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) মডিউলের লিঙ্ক রয়েছে যা সম্পর্কিত বিষয়গুলি কভার করে।
|
||||
|
||||
|
|
@ -116,18 +116,18 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### 🎯 AI-এ নতুন? এখানে শুরু করুন!
|
||||
|
||||
আপনি যদি AI-এ সম্পূর্ণ নতুন হন এবং দ্রুত, হাতে-কলমে উদাহরণ চান, তাহলে আমাদের [**শুরুর জন্য বন্ধুত্বপূর্ণ উদাহরণ**](./examples/README.md) দেখুন! এতে অন্তর্ভুক্ত রয়েছে:
|
||||
যদি আপনি AI-এ সম্পূর্ণ নতুন হন এবং দ্রুত, হাতে-কলমে উদাহরণ চান, আমাদের [**শুরুর জন্য বন্ধুত্বপূর্ণ উদাহরণ**](./examples/README.md) দেখুন! এতে অন্তর্ভুক্ত রয়েছে:
|
||||
|
||||
- 🌟 **হ্যালো AI ওয়ার্ল্ড** - আপনার প্রথম AI প্রোগ্রাম (প্যাটার্ন রিকগনিশন)
|
||||
- 🧠 **সাধারণ নিউরাল নেটওয়ার্ক** - স্ক্র্যাচ থেকে একটি নিউরাল নেটওয়ার্ক তৈরি করুন
|
||||
- 🖼️ **ইমেজ ক্লাসিফায়ার** - বিস্তারিত মন্তব্য সহ ইমেজ শ্রেণীবিন্যাস করুন
|
||||
- 💬 **টেক্সট সেন্টিমেন্ট** - ইতিবাচক/নেতিবাচক টেক্সট বিশ্লেষণ করুন
|
||||
|
||||
এই উদাহরণগুলো আপনাকে পুরো পাঠ্যক্রমে প্রবেশ করার আগে AI ধারণা বুঝতে সাহায্য করার জন্য তৈরি করা হয়েছে।
|
||||
এই উদাহরণগুলো আপনাকে পুরো কারিকুলামে প্রবেশ করার আগে AI ধারণাগুলি বুঝতে সাহায্য করার জন্য ডিজাইন করা হয়েছে।
|
||||
|
||||
### 📚 পূর্ণ পাঠ্যক্রম সেটআপ
|
||||
### 📚 পূর্ণ কারিকুলাম সেটআপ
|
||||
|
||||
- আমরা একটি [সেটআপ পাঠ](./lessons/0-course-setup/setup.md) তৈরি করেছি যা আপনার ডেভেলপমেন্ট পরিবেশ সেটআপ করতে সাহায্য করবে। - শিক্ষকদের জন্য, আমরা একটি [পাঠ্যক্রম সেটআপ পাঠ](./lessons/0-course-setup/for-teachers.md) তৈরি করেছি!
|
||||
- আমরা একটি [সেটআপ লেসন](./lessons/0-course-setup/setup.md) তৈরি করেছি যা আপনাকে আপনার ডেভেলপমেন্ট পরিবেশ সেটআপ করতে সাহায্য করবে। - শিক্ষকদের জন্য, আমরা একটি [কারিকুলাম সেটআপ লেসন](./lessons/0-course-setup/for-teachers.md) তৈরি করেছি!
|
||||
- কিভাবে [VSCode বা Codepace-এ কোড চালাবেন](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
এই ধাপগুলো অনুসরণ করুন:
|
||||
|
|
@ -136,73 +136,79 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
রিপোজিটরি ক্লোন করুন: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
এই রিপোতে 🌟 স্টার দিতে ভুলবেন না যাতে পরে এটি সহজে খুঁজে পান।
|
||||
এই রিপোতে তারকা (🌟) দিতে ভুলবেন না যাতে পরে এটি সহজে খুঁজে পান।
|
||||
|
||||
## অন্যান্য শিক্ষার্থীদের সাথে পরিচিত হন
|
||||
|
||||
আমাদের [অফিশিয়াল AI Discord সার্ভার](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)-এ যোগ দিন, যেখানে আপনি এই কোর্সে অংশগ্রহণকারী অন্যান্য শিক্ষার্থীদের সাথে পরিচিত হতে এবং নেটওয়ার্ক করতে পারেন এবং সহায়তা পেতে পারেন।
|
||||
আমাদের [অফিশিয়াল AI Discord সার্ভার](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)-এ যোগ দিন, যেখানে আপনি এই কোর্সে অংশগ্রহণকারী অন্যান্য শিক্ষার্থীদের সাথে পরিচিত হতে এবং নেটওয়ার্ক করতে পারবেন এবং সহায়তা পেতে পারবেন।
|
||||
|
||||
যদি আপনি প্রোডাক্ট ফিডব্যাক দিতে চান বা কোড তৈরি করার সময় কোনো প্রশ্ন থাকে, আমাদের [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)-এ যান।
|
||||
যদি আপনার পণ্য সম্পর্কিত মতামত বা প্রশ্ন থাকে, আমাদের [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)-এ যান।
|
||||
|
||||
## কুইজ
|
||||
|
||||
> **কুইজ সম্পর্কে একটি নোট**: সমস্ত কুইজ `Quiz-app` ফোল্ডারে `etc\quiz-app`-এ রয়েছে, অথবা [অনলাইনে এখানে](https://ff-quizzes.netlify.app/)। এগুলো পাঠের মধ্যে লিঙ্ক করা হয়েছে। কুইজ অ্যাপটি লোকালভাবে চালানো বা Azure-এ ডিপ্লয় করা যেতে পারে; `quiz-app` ফোল্ডারে নির্দেশনা অনুসরণ করুন। এগুলো ধীরে ধীরে স্থানীয় ভাষায় অনুবাদ করা হচ্ছে।
|
||||
> **কুইজ সম্পর্কে একটি নোট**: সমস্ত কুইজ Quiz-app ফোল্ডারে etc\quiz-app-এ রয়েছে, অথবা [অনলাইনে এখানে](https://ff-quizzes.netlify.app/)। এগুলো লেসনের মধ্যে লিঙ্ক করা আছে। কুইজ অ্যাপটি লোকালভাবে চালানো বা Azure-এ ডিপ্লয় করা যেতে পারে; `quiz-app` ফোল্ডারের নির্দেশনা অনুসরণ করুন। এগুলো ধীরে ধীরে লোকালাইজ করা হচ্ছে।
|
||||
|
||||
## সাহায্য প্রয়োজন
|
||||
|
||||
আপনার কোনো পরামর্শ আছে বা বানান বা কোডের ত্রুটি খুঁজে পেয়েছেন? একটি ইস্যু উত্থাপন করুন বা একটি পুল রিকোয়েস্ট তৈরি করুন।
|
||||
আপনার কি কোনো পরামর্শ আছে বা বানান বা কোডের ত্রুটি পেয়েছেন? একটি ইস্যু উত্থাপন করুন বা একটি পুল রিকোয়েস্ট তৈরি করুন।
|
||||
|
||||
## বিশেষ ধন্যবাদ
|
||||
|
||||
* **✍️ প্রধান লেখক:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 সম্পাদক:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 স্কেচনোট ইলাস্ট্রেটর:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ কুইজ নির্মাতা:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 মূল অবদানকারী:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ প্রধান লেখক:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 সম্পাদক:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 স্কেচনোট ইলাস্ট্রেটর:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ কুইজ নির্মাতা:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 মূল অবদানকারী:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## অন্যান্য পাঠ্যক্রম
|
||||
## অন্যান্য কারিকুলাম
|
||||
|
||||
আমাদের দল অন্যান্য পাঠ্যক্রম তৈরি করে! দেখুন:
|
||||
আমাদের টিম অন্যান্য কারিকুলামও তৈরি করে! দেখুন:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## সাহায্য পাওয়া
|
||||
|
||||
যদি আপনি আটকে যান বা AI অ্যাপ তৈরি করার বিষয়ে কোনো প্রশ্ন থাকে, MCP নিয়ে আলোচনা করতে fellow learners এবং অভিজ্ঞ ডেভেলপারদের সাথে যোগ দিন। এটি একটি সহায়ক কমিউনিটি যেখানে প্রশ্ন স্বাগত এবং জ্ঞান মুক্তভাবে ভাগ করা হয়।
|
||||
যদি আপনি আটকে যান বা AI অ্যাপ তৈরি সম্পর্কে কোনো প্রশ্ন থাকে, সহপাঠী শিক্ষার্থী এবং অভিজ্ঞ ডেভেলপারদের সাথে আলোচনা করতে যোগ দিন। এটি একটি সহায়ক কমিউনিটি যেখানে প্রশ্ন স্বাগত এবং জ্ঞান মুক্তভাবে ভাগ করা হয়।
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
যদি আপনি প্রোডাক্ট ফিডব্যাক দিতে চান বা কোড তৈরি করার সময় কোনো ত্রুটি থাকে, এখানে যান:
|
||||
যদি আপনার পণ্য সম্পর্কিত মতামত বা ত্রুটি থাকে, এখানে যান:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**অস্বীকৃতি**:
|
||||
এই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসাধ্য সঠিকতার জন্য চেষ্টা করি, তবে অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। মূল ভাষায় থাকা নথিটিকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যা হলে আমরা দায়বদ্ধ নই।
|
||||
এই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসম্ভব সঠিক অনুবাদের চেষ্টা করি, তবে অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। নথিটির মূল ভাষায় থাকা সংস্করণটিকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে সৃষ্ট কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়ী নই।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:38:31+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:21:00+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "br"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI Para Iniciantes - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com nosso currículo de 12 semanas e 24 aulas! Ele inclui lições práticas, questionários e laboratórios. O currículo é amigável para iniciantes e aborda ferramentas como TensorFlow e PyTorch, além de ética em IA.
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com nosso currículo de 12 semanas e 24 aulas! Ele inclui lições práticas, questionários e laboratórios. O currículo é voltado para iniciantes e aborda ferramentas como TensorFlow e PyTorch, além de ética em IA.
|
||||
|
||||
### 🌐 Suporte Multilíngue
|
||||
|
||||
|
|
@ -59,8 +59,8 @@ O que não será abordado neste currículo:
|
|||
|
||||
* Casos de uso de **IA nos Negócios**. Considere fazer o caminho de aprendizado [Introdução à IA para usuários de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) no Microsoft Learn, ou [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvido em cooperação com [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizado de Máquina Clássico**, que está bem descrito em nosso [Currículo de Aprendizado de Máquina para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Serviços Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos começar com os módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* Frameworks específicos de ML **na Nuvem**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os caminhos de aprendizado [Construir e operar soluções de aprendizado de máquina com Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de aprendizado de máquina com Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* Aplicações práticas de IA construídas usando **[Serviços Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos começar com os módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com o Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* Frameworks específicos de ML **na Nuvem**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os caminhos de aprendizado [Construir e operar soluções de aprendizado de máquina com o Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de aprendizado de máquina com o Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** e **Chat Bots**. Há um caminho de aprendizado separado [Criar soluções de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e você também pode consultar [este post no blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Avançada** por trás do aprendizado profundo. Para isso, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
|
|
@ -144,9 +144,9 @@ Junte-se ao nosso [servidor oficial de Discord de IA](https://aka.ms/genai-disco
|
|||
|
||||
Se você tiver feedback sobre o produto ou dúvidas enquanto estiver desenvolvendo, visite nosso [Fórum de Desenvolvedores do Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Questionários
|
||||
## Questionários
|
||||
|
||||
> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](https://ff-quizzes.netlify.app/). Eles estão vinculados dentro das lições, o aplicativo de questionário pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
|
||||
> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](https://ff-quizzes.netlify.app/). Eles estão vinculados dentro das lições e o aplicativo de questionário pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
|
||||
|
||||
## Ajuda Necessária
|
||||
|
||||
|
|
@ -156,7 +156,7 @@ Você tem sugestões ou encontrou erros de ortografia ou código? Abra uma issue
|
|||
|
||||
* **✍️ Autor Principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editora:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustradora de Sketchnotes:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 Ilustradora de Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Criadora de Questionários:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contribuidores Principais:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
|
|
@ -164,9 +164,15 @@ Você tem sugestões ou encontrou erros de ortografia ou código? Abra uma issue
|
|||
|
||||
Nossa equipe produz outros currículos! Confira:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentes
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
|
|
@ -180,7 +186,7 @@ Nossa equipe produz outros currículos! Confira:
|
|||
|
||||
---
|
||||
|
||||
### Aprendizado Essencial
|
||||
### Aprendizado Central
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -210,5 +216,5 @@ Se você tiver feedback sobre o produto ou erros durante o desenvolvimento, visi
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Aviso Legal**:
|
||||
Este documento foi traduzido usando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automatizadas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autoritativa. Para informações críticas, recomenda-se a tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
|
||||
Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte oficial. Para informações críticas, recomenda-se a tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:10:20+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:50:20+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "cs"
|
||||
}
|
||||
|
|
@ -37,7 +37,7 @@ Objevte svět **umělé inteligence** (AI) s naším 12týdenním kurikulem obsa
|
|||
[Arabština](../ar/README.md) | [Bengálština](../bn/README.md) | [Bulharština](../bg/README.md) | [Barmština (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradiční, Hongkong)](../hk/README.md) | [Čínština (tradiční, Macao)](../mo/README.md) | [Čínština (tradiční, Tchaj-wan)](../tw/README.md) | [Chorvatština](../hr/README.md) | [Čeština](./README.md) | [Dánština](../da/README.md) | [Nizozemština](../nl/README.md) | [Estonština](../et/README.md) | [Finština](../fi/README.md) | [Francouzština](../fr/README.md) | [Němčina](../de/README.md) | [Řečtina](../el/README.md) | [Hebrejština](../he/README.md) | [Hindština](../hi/README.md) | [Maďarština](../hu/README.md) | [Indonéština](../id/README.md) | [Italština](../it/README.md) | [Japonština](../ja/README.md) | [Kannadština](../kn/README.md) | [Korejština](../ko/README.md) | [Litevština](../lt/README.md) | [Malajština](../ms/README.md) | [Malajálamština](../ml/README.md) | [Maráthština](../mr/README.md) | [Nepálština](../ne/README.md) | [Nigerijská pidžinština](../pcm/README.md) | [Norština](../no/README.md) | [Perština (Fársí)](../fa/README.md) | [Polština](../pl/README.md) | [Portugalština (Brazílie)](../br/README.md) | [Portugalština (Portugalsko)](../pt/README.md) | [Paňdžábština (Gurmukhi)](../pa/README.md) | [Rumunština](../ro/README.md) | [Ruština](../ru/README.md) | [Srbština (cyrilice)](../sr/README.md) | [Slovenština](../sk/README.md) | [Slovinština](../sl/README.md) | [Španělština](../es/README.md) | [Svahilština](../sw/README.md) | [Švédština](../sv/README.md) | [Tagalog (Filipínština)](../tl/README.md) | [Tamilština](../ta/README.md) | [Telugština](../te/README.md) | [Thajština](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinština](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamština](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Pokud si přejete přidat další překlady, seznam podporovaných jazyků naleznete [zde](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Pokud si přejete přidat další překlady, seznam podporovaných jazyků najdete [zde](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Připojte se ke komunitě
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -50,7 +50,7 @@ V tomto kurikulu se naučíte:
|
|||
|
||||
* Různé přístupy k umělé inteligenci, včetně "starého dobrého" symbolického přístupu s **reprezentací znalostí** a odvozováním ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuronové sítě** a **hluboké učení**, které jsou jádrem moderní AI. Tyto důležité koncepty si vysvětlíme pomocí kódu ve dvou z nejpopulárnějších frameworků - [TensorFlow](http://Tensorflow.org) a [PyTorch](http://pytorch.org).
|
||||
* **Neuronové architektury** pro práci s obrázky a textem. Pokryjeme aktuální modely, ale možná nebudeme zahrnovat nejnovější stav techniky.
|
||||
* **Neuronové architektury** pro práci s obrázky a textem. Pokryjeme aktuální modely, ale možná nebudeme zcela aktuální s nejmodernějšími přístupy.
|
||||
* Méně populární přístupy k AI, jako jsou **genetické algoritmy** a **systémy s více agenty**.
|
||||
|
||||
Co v tomto kurikulu nezahrneme:
|
||||
|
|
@ -60,15 +60,15 @@ Co v tomto kurikulu nezahrneme:
|
|||
* Obchodní případy využití **AI v byznysu**. Zvažte absolvování vzdělávací cesty [Úvod do AI pro obchodní uživatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn nebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinuté ve spolupráci s [INSEAD](https://www.insead.edu/).
|
||||
* **Klasické strojové učení**, které je dobře popsáno v našem [kurikulu Strojové učení pro začátečníky](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktické aplikace AI vytvořené pomocí **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pro toto doporučujeme začít s moduly Microsoft Learn pro [počítačové vidění](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [zpracování přirozeného jazyka](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativní AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a další.
|
||||
* Specifické ML **cloudové frameworky**, jako [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) nebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvažte využití vzdělávacích cest [Vytváření a provozování řešení strojového učení s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Vytváření a provozování řešení strojového učení s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konverzační AI** a **chatboti**. Existuje samostatná vzdělávací cesta [Vytváření konverzačních AI řešení](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a také můžete nahlédnout do [tohoto blogového příspěvku](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pro více detailů.
|
||||
* Specifické ML **cloudové frameworky**, jako jsou [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) nebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvažte využití vzdělávacích cest [Vytváření a provozování řešení strojového učení s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Vytváření a provozování řešení strojového učení s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konverzační AI** a **chatboti**. Existuje samostatná vzdělávací cesta [Vytváření konverzačních AI řešení](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) a také můžete nahlédnout do [tohoto blogového příspěvku](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pro více detailů.
|
||||
* **Hluboká matematika** za hlubokým učením. Pro toto doporučujeme knihu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshuy Bengia a Aarona Courvilla, která je také dostupná online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Pro jemný úvod do témat _AI v cloudu_ můžete zvážit absolvování vzdělávací cesty [Začínáme s umělou inteligencí na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Obsah
|
||||
|
||||
| | Odkaz na lekci | PyTorch/Keras/TensorFlow | Laboratoř |
|
||||
| | Odkaz na lekci | PyTorch/Keras/TensorFlow | Laboratorní cvičení |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Nastavení kurzu](./lessons/0-course-setup/setup.md) | [Nastavte si vývojové prostředí](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Úvod do AI**](./lessons/1-Intro/README.md) | | |
|
||||
|
|
@ -78,18 +78,18 @@ Pro jemný úvod do témat _AI v cloudu_ můžete zvážit absolvování vzděl
|
|||
| III | [**Úvod do neuronových sítí**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Vícevrstvý perceptron a vytvoření vlastního frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Úvod do frameworků (PyTorch/TensorFlow) a přeučení modelu](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [Úvod do frameworků (PyTorch/TensorFlow) a overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Počítačové vidění**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Prozkoumejte počítačové vidění na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Úvod do počítačového vidění. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvoluční neuronové sítě](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Předtrénované sítě a přenosové učení](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Trénovací triky](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Předtrénované sítě a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Triky při trénování](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodéry a VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativní protivníkové sítě a přenos uměleckého stylu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekce objektů](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantická segmentace. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Zpracování přirozeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Prozkoumejte zpracování přirozeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentace textu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantické vektorové reprezentace slov. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 14 | [Semantické vektorové reprezentace. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Jazykové modelování. Trénování vlastních vektorových reprezentací](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentní neuronové sítě](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generativní rekurentní sítě](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
|
|
@ -99,27 +99,27 @@ Pro jemný úvod do témat _AI v cloudu_ můžete zvážit absolvování vzděl
|
|||
| VI | **Další techniky AI** || |
|
||||
| 21 | [Genetické algoritmy](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Hluboké posilované učení](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Systémy s více agenty](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 23 | [Multi-agentní systémy](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika AI** | | |
|
||||
| 24 | [Etika AI a odpovědná AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principy odpovědné AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Doplňky** | | |
|
||||
| 25 | [Multimodální sítě, CLIP a VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Multi-modální sítě, CLIP a VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Každá lekce obsahuje
|
||||
|
||||
* Materiály k předběžnému čtení
|
||||
* Spustitelné Jupyter Notebooky, které jsou často specifické pro daný framework (**PyTorch** nebo **TensorFlow**). Spustitelný notebook obsahuje také mnoho teoretických materiálů, takže pro pochopení tématu je nutné projít alespoň jednu verzi notebooku (buď PyTorch, nebo TensorFlow).
|
||||
* **Lab** dostupné pro některá témata, které vám dávají příležitost vyzkoušet si aplikaci naučeného materiálu na konkrétní problém.
|
||||
* Materiály k přečtení předem
|
||||
* Spustitelné Jupyter Notebooky, které jsou často specifické pro daný framework (**PyTorch** nebo **TensorFlow**). Notebooky obsahují také mnoho teoretického materiálu, takže pro pochopení tématu je potřeba projít alespoň jednu verzi notebooku (buď PyTorch, nebo TensorFlow).
|
||||
* **Laborky** dostupné pro některá témata, které vám umožní vyzkoušet si aplikaci naučeného materiálu na konkrétní problém.
|
||||
* Některé sekce obsahují odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), které pokrývají související témata.
|
||||
|
||||
## Začínáme
|
||||
|
||||
### 🎯 Noví v AI? Začněte zde!
|
||||
### 🎯 Nováček v AI? Začněte zde!
|
||||
|
||||
Pokud jste v AI úplní nováčci a chcete rychlé, praktické příklady, podívejte se na naše [**Příklady pro začátečníky**](./examples/README.md)! Tyto zahrnují:
|
||||
Pokud jste v oblasti AI úplní nováčci a chcete rychlé, praktické příklady, podívejte se na naše [**Příklady pro začátečníky**](./examples/README.md)! Ty zahrnují:
|
||||
|
||||
- 🌟 **Hello AI World** - Váš první AI program (rozpoznávání vzorů)
|
||||
- 🧠 **Jednoduchá neuronová síť** - Vytvořte neuronovou síť od základu
|
||||
- 🧠 **Jednoduchá neuronová síť** - Vytvořte neuronovou síť od nuly
|
||||
- 🖼️ **Klasifikátor obrázků** - Klasifikujte obrázky s podrobnými komentáři
|
||||
- 💬 **Analýza sentimentu textu** - Analyzujte pozitivní/negativní text
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ Tyto příklady jsou navrženy tak, aby vám pomohly pochopit koncepty AI před
|
|||
|
||||
### 📚 Nastavení kompletního kurzu
|
||||
|
||||
- Vytvořili jsme [lekci pro nastavení](./lessons/0-course-setup/setup.md), která vám pomůže s přípravou vývojového prostředí. - Pro učitele jsme připravili také [lekci pro nastavení kurikula](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Vytvořili jsme [lekci pro nastavení](./lessons/0-course-setup/setup.md), která vám pomůže s nastavením vývojového prostředí. - Pro učitele jsme připravili také [lekci pro nastavení kurikula](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Jak [spustit kód ve VSCode nebo Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Postupujte podle těchto kroků:
|
||||
|
|
@ -142,15 +142,15 @@ Nezapomeňte označit hvězdičkou (🌟) tento repozitář, abyste ho později
|
|||
|
||||
Připojte se k našemu [oficiálnímu AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kde se můžete setkat a navázat kontakty s ostatními studenty tohoto kurzu a získat podporu.
|
||||
|
||||
Pokud máte zpětnou vazbu k produktu nebo otázky během vývoje, navštivte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum).
|
||||
Pokud máte zpětnou vazbu k produktu nebo otázky během tvorby, navštivte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kvízy
|
||||
|
||||
> **Poznámka ke kvízům**: Všechny kvízy jsou obsaženy ve složce Quiz-app v etc\quiz-app, nebo [online zde](https://ff-quizzes.netlify.app/). Jsou propojeny v rámci lekcí, aplikaci pro kvízy lze spustit lokálně nebo nasadit na Azure; postupujte podle pokynů ve složce `quiz-app`. Postupně jsou lokalizovány.
|
||||
> **Poznámka ke kvízům**: Všechny kvízy se nacházejí ve složce Quiz-app v etc\quiz-app, nebo [online zde](https://ff-quizzes.netlify.app/). Jsou propojeny v rámci lekcí, aplikaci pro kvízy lze spustit lokálně nebo nasadit na Azure; postupujte podle pokynů ve složce `quiz-app`. Postupně jsou lokalizovány.
|
||||
|
||||
## Hledáme pomoc
|
||||
|
||||
Máte návrhy nebo jste našli chyby v textu či kódu? Vytvořte issue nebo pull request.
|
||||
Máte návrhy nebo jste našli pravopisné či kódové chyby? Vytvořte issue nebo pull request.
|
||||
|
||||
## Speciální poděkování
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Máte návrhy nebo jste našli chyby v textu či kódu? Vytvořte issue nebo pul
|
|||
|
||||
Náš tým vytváří další kurikula! Podívejte se na:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -194,15 +200,15 @@ Náš tým vytváří další kurikula! Podívejte se na:
|
|||
### Copilot série
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Získání pomoci
|
||||
|
||||
Pokud se zaseknete nebo máte otázky ohledně tvorby AI aplikací, připojte se k ostatním studentům a zkušeným vývojářům v diskusích o MCP. Je to podpůrná komunita, kde jsou otázky vítány a znalosti se sdílejí volně.
|
||||
Pokud narazíte na problém nebo máte otázky ohledně tvorby AI aplikací, připojte se k ostatním studentům a zkušeným vývojářům v diskusích o MCP. Je to podpůrná komunita, kde jsou otázky vítány a znalosti se sdílejí volně.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Pokud máte zpětnou vazbu k produktu nebo narazíte na chyby během vývoje, navštivte:
|
||||
Pokud máte zpětnou vazbu k produktu nebo narazíte na chyby během tvorby, navštivte:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Pokud máte zpětnou vazbu k produktu nebo narazíte na chyby během vývoje, na
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Prohlášení**:
|
||||
Tento dokument byl přeložen pomocí služby AI pro překlady [Co-op Translator](https://github.com/Azure/co-op-translator). I když se snažíme o přesnost, mějte prosím na paměti, že automatizované překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho původním jazyce by měl být považován za autoritativní zdroj. Pro důležité informace se doporučuje profesionální lidský překlad. Neodpovídáme za žádná nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu.
|
||||
Tento dokument byl přeložen pomocí služby AI pro překlad [Co-op Translator](https://github.com/Azure/co-op-translator). I když se snažíme o přesnost, mějte prosím na paměti, že automatické překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho rodném jazyce by měl být považován za autoritativní zdroj. Pro důležité informace se doporučuje profesionální lidský překlad. Nejsme zodpovědní za jakékoli nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
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|
||||
"language_code": "da"
|
||||
}
|
||||
|
|
@ -13,7 +13,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
|
|
@ -44,11 +44,11 @@ Udforsk verden af **Kunstig Intelligens** (AI) med vores 12-ugers, 24-lektioners
|
|||
|
||||
## Hvad du vil lære
|
||||
|
||||
**[Mindmap over Kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Mindmap af Kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
I dette curriculum vil du lære:
|
||||
|
||||
* Forskellige tilgange til Kunstig Intelligens, inklusive den "gode gamle" symbolske tilgang med **Videnrepræsentation** og ræsonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Forskellige tilgange til Kunstig Intelligens, herunder den "gode gamle" symbolske tilgang med **Videnrepræsentation** og ræsonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neurale Netværk** og **Deep Learning**, som er kernen i moderne AI. Vi vil illustrere koncepterne bag disse vigtige emner med kode i to af de mest populære frameworks - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
|
||||
* **Neurale Arkitekturer** til arbejde med billeder og tekst. Vi vil dække nyere modeller, men kan mangle lidt i forhold til det nyeste.
|
||||
* Mindre populære AI-tilgange, såsom **Genetiske Algoritmer** og **Multi-Agent Systemer**.
|
||||
|
|
@ -57,14 +57,14 @@ Hvad vi ikke vil dække i dette curriculum:
|
|||
|
||||
> [Find alle yderligere ressourcer til dette kursus i vores Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Forretningscases for brug af **AI i Forretning**. Overvej at tage [Introduktion til AI for forretningsbrugere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringsstien på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), udviklet i samarbejde med [INSEAD](https://www.insead.edu/).
|
||||
* Forretningscases for brug af **AI i Forretning**. Overvej at tage [Introduktion til AI for forretningsbrugere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), udviklet i samarbejde med [INSEAD](https://www.insead.edu/).
|
||||
* **Klassisk Maskinlæring**, som er godt beskrevet i vores [Maskinlæring for Begyndere Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktiske AI-applikationer bygget ved hjælp af **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Til dette anbefaler vi, at du starter med modulerne Microsoft Learn for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre.
|
||||
* Specifikke ML **Cloud Frameworks**, såsom [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overvej at bruge [Byg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Byg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsstier.
|
||||
* **Samtale-AI** og **Chatbots**. Der er en separat [Opret samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også referere til [dette blogindlæg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mere detaljer.
|
||||
* **Samtale-AI** og **Chatbots**. Der er en separat [Opret samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også henvise til [dette blogindlæg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mere detaljer.
|
||||
* **Avanceret Matematik** bag deep learning. Til dette vil vi anbefale [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) af Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgængelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
For en blid introduktion til _AI i Skyen_ emner kan du overveje at tage [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringsstien.
|
||||
For en blid introduktion til _AI i Skyen_ emner kan du overveje at tage [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti.
|
||||
|
||||
# Indhold
|
||||
|
||||
|
|
@ -100,17 +100,17 @@ For en blid introduktion til _AI i Skyen_ emner kan du overveje at tage [Kom i g
|
|||
| 21 | [Genetiske algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI-etik** | | |
|
||||
| 24 | [AI-etik og ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principper for ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| VII | **AI Etik** | | |
|
||||
| 24 | [AI Etik og ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principper for ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Ekstra** | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Hver lektion indeholder
|
||||
|
||||
* Forberedende læsemateriale
|
||||
* Eksekverbare Jupyter Notebooks, som ofte er specifikke for et framework (**PyTorch** eller **TensorFlow**). Den eksekverbare notebook indeholder også meget teoretisk materiale, så for at forstå emnet skal du gennemgå mindst én version af notebooken (enten PyTorch eller TensorFlow).
|
||||
* **Labs** tilgængelige for nogle emner, som giver dig mulighed for at prøve at anvende det, du har lært, på et specifikt problem.
|
||||
* Nogle sektioner indeholder links til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)-moduler, der dækker relaterede emner.
|
||||
* Kørbare Jupyter Notebooks, som ofte er specifikke for et framework (**PyTorch** eller **TensorFlow**). Den kørbare notebook indeholder også en masse teoretisk materiale, så for at forstå emnet skal du gennemgå mindst én version af notebooken (enten PyTorch eller TensorFlow).
|
||||
* **Labs** tilgængelige for nogle emner, som giver dig mulighed for at prøve at anvende det materiale, du har lært, på et specifikt problem.
|
||||
* Nogle sektioner indeholder links til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler, der dækker relaterede emner.
|
||||
|
||||
## Kom godt i gang
|
||||
|
||||
|
|
@ -144,7 +144,7 @@ Deltag i vores [officielle AI Discord-server](https://aka.ms/genai-discord?WT.mc
|
|||
|
||||
Hvis du har produktfeedback eller spørgsmål undervejs, kan du besøge vores [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzer
|
||||
## Quizzer
|
||||
|
||||
> **En note om quizzer**: Alle quizzer findes i Quiz-app-mappen i etc\quiz-app, eller [online her](https://ff-quizzes.netlify.app/). De er linket fra lektionerne, og quiz-appen kan køres lokalt eller implementeres på Azure; følg instruktionerne i `quiz-app`-mappen. De bliver gradvist lokaliseret.
|
||||
|
||||
|
|
@ -164,35 +164,41 @@ Har du forslag eller fundet stave- eller kodefejl? Opret en issue eller lav en p
|
|||
|
||||
Vores team producerer andre pensum! Tjek dem ud:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenter
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generativ AI-serie
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Kerneundervisning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot-serie
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Hvis du har produktfeedback eller oplever fejl undervejs, besøg:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Ansvarsfraskrivelse**:
|
||||
Dette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal du være opmærksom på, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi er ikke ansvarlige for eventuelle misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.
|
||||
Dette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal det bemærkes, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi er ikke ansvarlige for misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:07:21+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:41:56+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "de"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| KI für Anfänger - _Sketchnote von [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Entdecke die Welt der **Künstlichen Intelligenz** (KI) mit unserem 12-wöchigen Lehrplan, der 24 Lektionen umfasst! Er enthält praktische Lektionen, Quizfragen und Labore. Der Lehrplan ist anfängerfreundlich und behandelt Tools wie TensorFlow und PyTorch sowie ethische Aspekte der KI.
|
||||
Entdecken Sie die Welt der **Künstlichen Intelligenz** (KI) mit unserem 12-wöchigen Lehrplan mit 24 Lektionen! Er enthält praktische Lektionen, Quizfragen und Labore. Der Lehrplan ist anfängerfreundlich und behandelt Tools wie TensorFlow und PyTorch sowie ethische Aspekte der KI.
|
||||
|
||||
### 🌐 Mehrsprachige Unterstützung
|
||||
|
||||
|
|
@ -37,16 +37,16 @@ Entdecke die Welt der **Künstlichen Intelligenz** (KI) mit unserem 12-wöchigen
|
|||
[Arabisch](../ar/README.md) | [Bengalisch](../bn/README.md) | [Bulgarisch](../bg/README.md) | [Birmanisch (Myanmar)](../my/README.md) | [Chinesisch (Vereinfacht)](../zh/README.md) | [Chinesisch (Traditionell, Hongkong)](../hk/README.md) | [Chinesisch (Traditionell, Macau)](../mo/README.md) | [Chinesisch (Traditionell, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tschechisch](../cs/README.md) | [Dänisch](../da/README.md) | [Niederländisch](../nl/README.md) | [Estnisch](../et/README.md) | [Finnisch](../fi/README.md) | [Französisch](../fr/README.md) | [Deutsch](./README.md) | [Griechisch](../el/README.md) | [Hebräisch](../he/README.md) | [Hindi](../hi/README.md) | [Ungarisch](../hu/README.md) | [Indonesisch](../id/README.md) | [Italienisch](../it/README.md) | [Japanisch](../ja/README.md) | [Kannada](../kn/README.md) | [Koreanisch](../ko/README.md) | [Litauisch](../lt/README.md) | [Malaiisch](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalesisch](../ne/README.md) | [Nigerianisches Pidgin](../pcm/README.md) | [Norwegisch](../no/README.md) | [Persisch (Farsi)](../fa/README.md) | [Polnisch](../pl/README.md) | [Portugiesisch (Brasilien)](../br/README.md) | [Portugiesisch (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänisch](../ro/README.md) | [Russisch](../ru/README.md) | [Serbisch (Kyrillisch)](../sr/README.md) | [Slowakisch](../sk/README.md) | [Slowenisch](../sl/README.md) | [Spanisch](../es/README.md) | [Swahili](../sw/README.md) | [Schwedisch](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailändisch](../th/README.md) | [Türkisch](../tr/README.md) | [Ukrainisch](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisch](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Falls du zusätzliche Übersetzungen wünschst, findest du die unterstützten Sprachen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Falls Sie zusätzliche Übersetzungen wünschen, finden Sie die unterstützten Sprachen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Trete der Community bei
|
||||
## Treten Sie der Community bei
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Was du lernen wirst
|
||||
## Was Sie lernen werden
|
||||
|
||||
**[Mindmap des Kurses](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
In diesem Lehrplan wirst du lernen:
|
||||
In diesem Lehrplan lernen Sie:
|
||||
|
||||
* Verschiedene Ansätze der Künstlichen Intelligenz, einschließlich des "guten alten" symbolischen Ansatzes mit **Wissensrepräsentation** und Schlussfolgerung ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuronale Netze** und **Deep Learning**, die das Herzstück moderner KI bilden. Wir veranschaulichen die Konzepte hinter diesen wichtigen Themen mit Code in zwei der beliebtesten Frameworks - [TensorFlow](http://Tensorflow.org) und [PyTorch](http://pytorch.org).
|
||||
|
|
@ -55,22 +55,22 @@ In diesem Lehrplan wirst du lernen:
|
|||
|
||||
Was wir in diesem Lehrplan nicht behandeln:
|
||||
|
||||
> [Finde alle zusätzlichen Ressourcen für diesen Kurs in unserer Microsoft Learn-Sammlung](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Finden Sie alle zusätzlichen Ressourcen für diesen Kurs in unserer Microsoft Learn-Sammlung](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Geschäftsanwendungen von **KI im Business**. Ziehe in Betracht, den Lernpfad [Einführung in KI für Geschäftsanwender](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) auf Microsoft Learn oder die [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), die in Zusammenarbeit mit [INSEAD](https://www.insead.edu/) entwickelt wurde, zu absolvieren.
|
||||
* Geschäftsanwendungen von **KI im Business**. Ziehen Sie in Betracht, den Lernpfad [Einführung in KI für Geschäftsanwender](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) auf Microsoft Learn oder die [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), die in Zusammenarbeit mit [INSEAD](https://www.insead.edu/) entwickelt wurde, zu absolvieren.
|
||||
* **Klassisches Machine Learning**, das in unserem [Machine Learning für Anfänger Lehrplan](http://github.com/Microsoft/ML-for-Beginners) gut beschrieben ist.
|
||||
* Praktische KI-Anwendungen, die mit **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** erstellt wurden. Dafür empfehlen wir, mit den Modulen auf Microsoft Learn für [Vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [Natural Language Processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative KI mit Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** und anderen zu beginnen.
|
||||
* Spezifische ML-**Cloud-Frameworks**, wie [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) oder [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Ziehe in Betracht, die Lernpfade [Erstellen und Betreiben von Machine-Learning-Lösungen mit Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) und [Erstellen und Betreiben von Machine-Learning-Lösungen mit Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) zu nutzen.
|
||||
* **Konversationelle KI** und **Chatbots**. Es gibt einen separaten Lernpfad [Erstellen von konversationellen KI-Lösungen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), und du kannst auch [diesen Blogbeitrag](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) für weitere Details heranziehen.
|
||||
* **Tiefe Mathematik** hinter Deep Learning. Dafür empfehlen wir [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) von Ian Goodfellow, Yoshua Bengio und Aaron Courville, das auch online unter [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) verfügbar ist.
|
||||
* Spezifische ML-**Cloud-Frameworks**, wie [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) oder [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Ziehen Sie in Betracht, die Lernpfade [Erstellen und Betreiben von Machine-Learning-Lösungen mit Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) und [Erstellen und Betreiben von Machine-Learning-Lösungen mit Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) zu nutzen.
|
||||
* **Konversationelle KI** und **Chatbots**. Es gibt einen separaten Lernpfad [Erstellen von konversationellen KI-Lösungen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), und Sie können auch [diesen Blogbeitrag](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) für weitere Details heranziehen.
|
||||
* **Tiefgehende Mathematik** hinter Deep Learning. Dafür empfehlen wir [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) von Ian Goodfellow, Yoshua Bengio und Aaron Courville, das auch online unter [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) verfügbar ist.
|
||||
|
||||
Für eine sanfte Einführung in _KI in der Cloud_ kannst du den Lernpfad [Erste Schritte mit künstlicher Intelligenz auf Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) in Betracht ziehen.
|
||||
Für eine sanfte Einführung in _KI in der Cloud_ können Sie den Lernpfad [Einführung in künstliche Intelligenz auf Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) in Betracht ziehen.
|
||||
|
||||
# Inhalt
|
||||
|
||||
| | Lektion Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurs-Setup](./lessons/0-course-setup/setup.md) | [Richte deine Entwicklungsumgebung ein](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Kurs-Setup](./lessons/0-course-setup/setup.md) | [Einrichtung Ihrer Entwicklungsumgebung](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Einführung in KI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Einführung und Geschichte der KI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolische KI** |
|
||||
|
|
@ -79,15 +79,15 @@ Für eine sanfte Einführung in _KI in der Cloud_ kannst du den Lernpfad [Erste
|
|||
| 03 | [Perzeptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Mehrschichtiger Perzeptron und Erstellung eines eigenen Frameworks](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Einführung in Frameworks (PyTorch/TensorFlow) und Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Erkunde Computer Vision auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Erkunden Sie Computer Vision auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Einführung in Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-Architekturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Vortrainierte Netzwerke und Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) und [Trainings-Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Vortrainierte Netzwerke und Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) und [Training-Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoder und VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generative Adversarial Networks & Künstlerischer Stiltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objekterkennung](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantische Segmentierung. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Natural Language Processing**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Erkunde Natural Language Processing auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Natural Language Processing**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Erkunden Sie Natural Language Processing auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Textrepräsentation. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantische Wort-Embeddings. Word2Vec und GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Sprachmodellierung. Eigene Embeddings trainieren](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
|
|
@ -99,54 +99,54 @@ Für eine sanfte Einführung in _KI in der Cloud_ kannst du den Lernpfad [Erste
|
|||
| VI | **Andere KI-Techniken** || |
|
||||
| 21 | [Genetische Algorithmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Multi-Agent-Systeme](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 23 | [Multi-Agenten-Systeme](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **KI-Ethik** | | |
|
||||
| 24 | [KI-Ethik und verantwortungsvolle KI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinzipien für verantwortungsvolle KI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [KI-Ethik und verantwortungsvolle KI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinzipien verantwortungsvoller KI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extras** | | |
|
||||
| 25 | [Multi-Modale Netzwerke, CLIP und VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Jede Lektion enthält
|
||||
|
||||
* Vorbereitendes Lesematerial
|
||||
* Ausführbare Jupyter Notebooks, die oft spezifisch für das Framework (**PyTorch** oder **TensorFlow**) sind. Das ausführbare Notebook enthält auch viele theoretische Inhalte, daher ist es notwendig, mindestens eine Version des Notebooks (entweder PyTorch oder TensorFlow) durchzugehen, um das Thema zu verstehen.
|
||||
* **Labore**, die für einige Themen verfügbar sind und die Möglichkeit bieten, das Gelernte auf ein spezifisches Problem anzuwenden.
|
||||
* Einige Abschnitte enthalten Links zu [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)-Modulen, die verwandte Themen behandeln.
|
||||
* Ausführbare Jupyter-Notebooks, die oft spezifisch für das Framework (**PyTorch** oder **TensorFlow**) sind. Das ausführbare Notebook enthält auch viele theoretische Inhalte, daher sollten Sie mindestens eine Version des Notebooks (entweder PyTorch oder TensorFlow) durchgehen, um das Thema zu verstehen.
|
||||
* **Labore**, die für einige Themen verfügbar sind und Ihnen die Möglichkeit geben, das Gelernte auf ein spezifisches Problem anzuwenden.
|
||||
* Einige Abschnitte enthalten Links zu [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)-Modulen, die verwandte Themen abdecken.
|
||||
|
||||
## Erste Schritte
|
||||
|
||||
### 🎯 Neu in KI? Hier starten!
|
||||
### 🎯 Neu in der KI? Starten Sie hier!
|
||||
|
||||
Wenn Sie ganz neu in der KI sind und schnelle, praktische Beispiele suchen, schauen Sie sich unsere [**Einsteigerfreundlichen Beispiele**](./examples/README.md) an! Diese beinhalten:
|
||||
Wenn Sie völlig neu in der KI sind und schnelle, praktische Beispiele suchen, schauen Sie sich unsere [**Einsteigerfreundlichen Beispiele**](./examples/README.md) an! Diese beinhalten:
|
||||
|
||||
- 🌟 **Hallo KI-Welt** - Ihr erstes KI-Programm (Mustererkennung)
|
||||
- 🧠 **Einfaches neuronales Netzwerk** - Erstellen Sie ein neuronales Netzwerk von Grund auf
|
||||
- 🧠 **Einfaches Neuronales Netzwerk** - Erstellen Sie ein neuronales Netzwerk von Grund auf
|
||||
- 🖼️ **Bildklassifikator** - Klassifizieren Sie Bilder mit detaillierten Kommentaren
|
||||
- 💬 **Textstimmung** - Analysiere positive/negative Texte
|
||||
|
||||
Diese Beispiele sollen dir helfen, KI-Konzepte zu verstehen, bevor du in den vollständigen Lehrplan eintauchst.
|
||||
|
||||
### 📚 Vollständige Lehrplaneinrichtung
|
||||
### 📚 Vollständige Lehrplan-Einrichtung
|
||||
|
||||
- Wir haben eine [Einrichtungslektion](./lessons/0-course-setup/setup.md) erstellt, um dir bei der Einrichtung deiner Entwicklungsumgebung zu helfen. - Für Lehrkräfte haben wir ebenfalls eine [Einrichtungslektion für den Lehrplan](./lessons/0-course-setup/for-teachers.md) erstellt!
|
||||
- Wie man [den Code in VSCode oder einem Codespace ausführt](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Folge diesen Schritten:
|
||||
|
||||
Repository forken: Klicke auf die Schaltfläche "Fork" oben rechts auf dieser Seite.
|
||||
Repository forken: Klicke auf den "Fork"-Button oben rechts auf dieser Seite.
|
||||
|
||||
Repository klonen: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Vergiss nicht, dieses Repository mit einem Stern (🌟) zu markieren, um es später leichter zu finden.
|
||||
Vergiss nicht, dieses Repository mit einem Stern (🌟) zu markieren, damit du es später leichter findest.
|
||||
|
||||
## Andere Lernende treffen
|
||||
|
||||
Tritt unserem [offiziellen AI Discord-Server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) bei, um andere Lernende kennenzulernen, die diesen Kurs belegen, und um Unterstützung zu erhalten.
|
||||
Tritt unserem [offiziellen AI Discord-Server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) bei, um andere Lernende kennenzulernen, die diesen Kurs belegen, und Unterstützung zu erhalten.
|
||||
|
||||
Wenn du Produktfeedback oder Fragen beim Bauen hast, besuche unser [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum).
|
||||
|
||||
## Quizfragen
|
||||
|
||||
> **Eine Anmerkung zu den Quizfragen**: Alle Quizfragen befinden sich im Ordner Quiz-app unter etc\quiz-app oder [Online hier](https://ff-quizzes.netlify.app/). Sie sind in den Lektionen verlinkt. Die Quiz-App kann lokal ausgeführt oder auf Azure bereitgestellt werden; folge den Anweisungen im `quiz-app`-Ordner. Sie werden schrittweise lokalisiert.
|
||||
> **Eine Anmerkung zu den Quizfragen**: Alle Quizfragen befinden sich im Quiz-App-Ordner unter etc\quiz-app oder [Online hier](https://ff-quizzes.netlify.app/). Sie sind in den Lektionen verlinkt. Die Quiz-App kann lokal ausgeführt oder auf Azure bereitgestellt werden; folge den Anweisungen im `quiz-app`-Ordner. Sie werden nach und nach lokalisiert.
|
||||
|
||||
## Hilfe gesucht
|
||||
|
||||
|
|
@ -160,9 +160,15 @@ Hast du Vorschläge oder Rechtschreib- oder Codefehler gefunden? Erstelle ein Is
|
|||
* **✅ Quiz-Erstellerin:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Hauptbeitragende:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Andere Lehrpläne
|
||||
## Weitere Lehrpläne
|
||||
|
||||
Unser Team erstellt weitere Lehrpläne! Schau dir diese an:
|
||||
Unser Team erstellt weitere Lehrpläne! Schau dir folgende an:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -172,11 +178,11 @@ Unser Team erstellt weitere Lehrpläne! Schau dir diese an:
|
|||
|
||||
---
|
||||
|
||||
### Generative KI-Serie
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Generative AI Serie
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -191,7 +197,7 @@ Unser Team erstellt weitere Lehrpläne! Schau dir diese an:
|
|||
|
||||
---
|
||||
|
||||
### Copilot-Serie
|
||||
### Copilot Serie
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -202,7 +208,7 @@ Wenn du feststeckst oder Fragen zum Erstellen von KI-Apps hast, tritt mit andere
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Wenn du Produktfeedback hast oder auf Fehler beim Bauen stößt, besuche:
|
||||
Wenn du Produktfeedback oder Fehler beim Bauen hast, besuche:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Wenn du Produktfeedback hast oder auf Fehler beim Bauen stößt, besuche:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Haftungsausschluss**:
|
||||
Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache sollte als maßgebliche Quelle betrachtet werden. Für kritische Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Nutzung dieser Übersetzung ergeben.
|
||||
Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache sollte als maßgebliche Quelle betrachtet werden. Für kritische Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die aus der Nutzung dieser Übersetzung entstehen.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,83 +1,83 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:45:06+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:26:56+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "el"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών
|
||||
# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| Τεχνητή Νοημοσύνη για Αρχάριους - _Σκίτσο από [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| Τεχνητή Νοημοσύνη για Αρχάριους - _Σχεδιάγραμμα από [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομαδιαίο πρόγραμμα σπουδών μας που περιλαμβάνει 24 μαθήματα! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό για αρχάριους και καλύπτει εργαλεία όπως το TensorFlow και το PyTorch, καθώς και θέματα ηθικής στην Τεχνητή Νοημοσύνη.
|
||||
Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομαδιαίο πρόγραμμα σπουδών μας που περιλαμβάνει 24 μαθήματα! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό για αρχάριους και καλύπτει εργαλεία όπως το TensorFlow και το PyTorch, καθώς και θέματα ηθικής στην Τεχνητή Νοημοσύνη.
|
||||
|
||||
### 🌐 Υποστήριξη Πολλαπλών Γλωσσών
|
||||
### 🌐 Υποστήριξη Πολλαπλών Γλωσσών
|
||||
|
||||
#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
|
||||
#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάου)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανικά](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιαλάμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπαλικά](../ne/README.md) | [Νιγηριανά Pidgin](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλία)](../br/README.md) | [Πορτογαλικά (Πορτογαλία)](../pt/README.md) | [Παντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάου)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανικά](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιαλάμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπαλικά](../ne/README.md) | [Νιγηριανά Πίντζιν](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλία)](../br/README.md) | [Πορτογαλικά (Πορτογαλία)](../pt/README.md) | [Παντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Αν επιθυμείτε να υποστηριχθούν επιπλέον γλώσσες, μπορείτε να δείτε τη λίστα [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Αν επιθυμείτε να υποστηριχθούν επιπλέον γλώσσες, οι διαθέσιμες γλώσσες παρατίθενται [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Γίνετε μέλος της κοινότητας
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Γίνετε μέλος της κοινότητας
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Τι θα μάθετε
|
||||
## Τι θα μάθετε
|
||||
|
||||
**[Διάγραμμα Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Διάγραμμα του μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Σε αυτό το πρόγραμμα σπουδών, θα μάθετε:
|
||||
Σε αυτό το πρόγραμμα σπουδών, θα μάθετε:
|
||||
|
||||
* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παραδοσιακής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και λογική ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που αποτελούν τον πυρήνα της σύγχρονης Τεχνητής Νοημοσύνης. Θα εξηγήσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα χρησιμοποιώντας κώδικα σε δύο από τα πιο δημοφιλή πλαίσια - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
|
||||
* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε πρόσφατα μοντέλα, αν και μπορεί να μην είμαστε πλήρως ενημερωμένοι για την αιχμή της τεχνολογίας.
|
||||
* Λιγότερο δημοφιλείς προσεγγίσεις στην Τεχνητή Νοημοσύνη, όπως **Γενετικοί Αλγόριθμοι** και **Συστήματα Πολλαπλών Πρακτόρων**.
|
||||
* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παραδοσιακής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και λογική ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που αποτελούν τον πυρήνα της σύγχρονης Τεχνητής Νοημοσύνης. Θα εξηγήσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα χρησιμοποιώντας κώδικα σε δύο από τα πιο δημοφιλή πλαίσια - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
|
||||
* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε πρόσφατα μοντέλα, αν και μπορεί να μην είμαστε πλήρως ενημερωμένοι για την αιχμή της τεχνολογίας.
|
||||
* Λιγότερο δημοφιλείς προσεγγίσεις στην Τεχνητή Νοημοσύνη, όπως **Γενετικοί Αλγόριθμοι** και **Συστήματα Πολλαπλών Πρακτόρων**.
|
||||
|
||||
Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών:
|
||||
Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών:
|
||||
|
||||
> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας στο Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας στο Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Επιχειρηματικές περιπτώσεις χρήσης της **Τεχνητής Νοημοσύνης στις Επιχειρήσεις**. Σκεφτείτε να παρακολουθήσετε το [Εισαγωγή στην Τεχνητή Νοημοσύνη για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ή το [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/).
|
||||
* **Κλασική Μηχανική Μάθηση**, η οποία περιγράφεται καλά στο [Πρόγραμμα Σπουδών Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Πρακτικές εφαρμογές Τεχνητής Νοημοσύνης που κατασκευάζονται χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, σας προτείνουμε να ξεκινήσετε με τα modules του Microsoft Learn για [όραση](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γενετική Τεχνητή Νοημοσύνη με την Υπηρεσία Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλα.
|
||||
* Συγκεκριμένα **Cloud Frameworks** για Μηχανική Μάθηση, όπως [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τα learning paths [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Συνομιλιακή Τεχνητή Νοημοσύνη** και **Chat Bots**. Υπάρχει ένα ξεχωριστό learning path [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτήν την ανάρτηση στο blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
|
||||
* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, θα προτείναμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) από τους Ian Goodfellow, Yoshua Bengio και Aaron Courville, το οποίο είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Επιχειρηματικές περιπτώσεις χρήσης της **Τεχνητής Νοημοσύνης στις Επιχειρήσεις**. Σκεφτείτε να παρακολουθήσετε το [Εισαγωγή στην Τεχνητή Νοημοσύνη για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) εκπαιδευτικό μονοπάτι στο Microsoft Learn ή το [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/).
|
||||
* **Κλασική Μηχανική Μάθηση**, που περιγράφεται καλά στο [Πρόγραμμα Σπουδών Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Πρακτικές εφαρμογές Τεχνητής Νοημοσύνης που έχουν δημιουργηθεί χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, σας προτείνουμε να ξεκινήσετε με τα modules του Microsoft Learn για [όραση](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γενετική Τεχνητή Νοημοσύνη με την Υπηρεσία Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλα.
|
||||
* Συγκεκριμένα **Cloud Frameworks** για Μηχανική Μάθηση, όπως [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τα εκπαιδευτικά μονοπάτια [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Συνομιλιακή Τεχνητή Νοημοσύνη** και **Chat Bots**. Υπάρχει ένα ξεχωριστό [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) εκπαιδευτικό μονοπάτι, και μπορείτε επίσης να ανατρέξετε σε [αυτήν την ανάρτηση στο blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
|
||||
* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, θα προτείναμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) από τους Ian Goodfellow, Yoshua Bengio και Aaron Courville, που είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Για μια ήπια εισαγωγή στα θέματα _Τεχνητής Νοημοσύνης στο Cloud_, μπορείτε να σκεφτείτε να παρακολουθήσετε το learning path [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Για μια ήπια εισαγωγή στα θέματα _Τεχνητής Νοημοσύνης στο Cloud_, μπορείτε να σκεφτείτε να παρακολουθήσετε το [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) εκπαιδευτικό μονοπάτι.
|
||||
|
||||
# Περιεχόμενο
|
||||
# Περιεχόμενο
|
||||
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση Περιβάλλοντος Ανάπτυξης](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην Τεχνητή Νοημοσύνη**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της Τεχνητής Νοημοσύνης](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική Τεχνητή Νοημοσύνη** |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Συστήματα Ειδικών](./lessons/2-Symbolic/README.md) | [Συστήματα Ειδικών](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφημα Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Εισαγωγή στα Νευρωνικά Δίκτυα**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση του Περιβάλλοντος Ανάπτυξης](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην Τεχνητή Νοημοσύνη**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της Τεχνητής Νοημοσύνης](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική Τεχνητή Νοημοσύνη** |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Συστήματα Ειδικών](./lessons/2-Symbolic/README.md) | [Συστήματα Ειδικών](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφημα Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Εισαγωγή στα Νευρωνικά Δίκτυα**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Πολυεπίπεδο Perceptron και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Πολυστρωματικός Perceptron και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Εισαγωγή σε Πλαίσια (PyTorch/TensorFlow) και Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Υπολογιστική Όραση**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Εξερευνήστε την Υπολογιστική Όραση στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Εισαγωγή στην Υπολογιστική Όραση. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
|
|
@ -109,7 +109,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
* Υλικό για προετοιμασία
|
||||
* Εκτελέσιμα Jupyter Notebooks, τα οποία συχνά είναι συγκεκριμένα για το πλαίσιο (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο notebook περιέχει επίσης πολύ θεωρητικό υλικό, οπότε για να κατανοήσετε το θέμα, πρέπει να διαβάσετε τουλάχιστον μία έκδοση του notebook (είτε PyTorch είτε TensorFlow).
|
||||
* **Εργαστήρια** διαθέσιμα για ορισμένα θέματα, που σας δίνουν την ευκαιρία να εφαρμόσετε το υλικό που έχετε μάθει σε ένα συγκεκριμένο πρόβλημα.
|
||||
* **Εργαστήρια** διαθέσιμα για ορισμένα θέματα, που σας δίνουν την ευκαιρία να εφαρμόσετε το υλικό που μάθατε σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Ορισμένες ενότητες περιέχουν συνδέσμους σε [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules που καλύπτουν σχετικά θέματα.
|
||||
|
||||
## Ξεκινώντας
|
||||
|
|
@ -118,7 +118,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Αν είστε εντελώς νέοι στην Τεχνητή Νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, δείτε τα [**Παραδείγματα για Αρχάριους**](./examples/README.md)! Αυτά περιλαμβάνουν:
|
||||
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα Τεχνητής Νοημοσύνης (αναγνώριση μοτίβων)
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα Τεχνητής Νοημοσύνης (αναγνώριση προτύπων)
|
||||
- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιουργήστε ένα νευρωνικό δίκτυο από την αρχή
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομήστε εικόνες με λεπτομερή σχόλια
|
||||
- 💬 **Ανάλυση Συναισθήματος Κειμένου** - Αναλύστε θετικά/αρνητικά κείμενα
|
||||
|
|
@ -156,13 +156,19 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
* **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Επιμελήτρια:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Εικονογράφος Σημειώσεων:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 Εικονογράφος Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Κύριοι Συνεργάτες:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Κύριοι Συντελεστές:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Άλλα Προγράμματα Σπουδών
|
||||
|
||||
Η ομάδα μας δημιουργεί και άλλα προγράμματα σπουδών! Δείτε:
|
||||
Η ομάδα μας παράγει και άλλα προγράμματα σπουδών! Δείτε:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -183,7 +189,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
### Βασική Μάθηση
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -192,13 +198,13 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
---
|
||||
|
||||
### Σειρά Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Λήψη Βοήθειας
|
||||
|
||||
Αν κολλήσετε ή έχετε ερωτήσεις σχετικά με την ανάπτυξη εφαρμογών ΤΝ, γίνετε μέλος άλλων μαθητών και έμπειρων προγραμματιστών σε συζητήσεις για MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
|
||||
Αν κολλήσετε ή έχετε ερωτήσεις σχετικά με την ανάπτυξη εφαρμογών ΤΝ, γίνετε μέλος σε συζητήσεις με άλλους μαθητές και έμπειρους προγραμματιστές σχετικά με το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,81 +1,81 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:02:47+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:37:51+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "en"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Artificial Intelligence for Beginners - A Curriculum
|
||||
# Artificial Intelligence for Beginners - A Curriculum
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Dive into the fascinating world of **Artificial Intelligence** (AI) with our 12-week, 24-lesson curriculum! It includes hands-on lessons, quizzes, and labs. This beginner-friendly curriculum covers tools like TensorFlow and PyTorch, as well as discussions on AI ethics.
|
||||
Dive into the world of **Artificial Intelligence** (AI) with our 12-week, 24-lesson curriculum! It includes hands-on lessons, quizzes, and labs. This beginner-friendly curriculum covers tools like TensorFlow and PyTorch, as well as discussions on AI ethics.
|
||||
|
||||
### 🌐 Multi-Language Support
|
||||
### 🌐 Multi-Language Support
|
||||
|
||||
#### Supported via GitHub Action (Automated & Always Up-to-Date)
|
||||
#### Supported via GitHub Action (Automated & Always Up-to-Date)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**If you'd like additional translations, supported languages are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**If you'd like additional translations, supported languages are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Join the Community
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Join the Community
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## What you will learn
|
||||
## What you will learn
|
||||
|
||||
**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
In this curriculum, you will explore:
|
||||
In this curriculum, you will explore:
|
||||
|
||||
* Various approaches to Artificial Intelligence, including the "good old" symbolic approach with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neural Networks** and **Deep Learning**, which are central to modern AI. We'll explain these concepts using code in two popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org).
|
||||
* **Neural Architectures** for processing images and text. While we’ll cover recent models, we might not delve into the latest state-of-the-art.
|
||||
* Less common AI techniques, such as **Genetic Algorithms** and **Multi-Agent Systems**.
|
||||
* Various approaches to Artificial Intelligence, including the "classic" symbolic approach with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neural Networks** and **Deep Learning**, which are central to modern AI. We'll explain these concepts using code in two popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org).
|
||||
* **Neural Architectures** for processing images and text. While we will cover recent models, we may not delve into the latest advancements.
|
||||
* Less common AI methods, such as **Genetic Algorithms** and **Multi-Agent Systems**.
|
||||
|
||||
What this curriculum does not cover:
|
||||
What this curriculum does not cover:
|
||||
|
||||
> [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Business applications of **AI in Business**. For this, consider the [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), developed in collaboration with [INSEAD](https://www.insead.edu/).
|
||||
* **Classic Machine Learning**, which is well-covered in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Practical AI applications using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For this, start with Microsoft Learn modules for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**, and more.
|
||||
* Specific ML **Cloud Frameworks**, such as [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Consider using [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.
|
||||
* **Conversational AI** and **Chat Bots**. There’s a separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you can also refer to [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more details.
|
||||
* **Deep Mathematics** behind deep learning. For this, we recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, which is also available online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Business applications of **AI in Business**. For this, consider the [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), developed in collaboration with [INSEAD](https://www.insead.edu/).
|
||||
* **Classic Machine Learning**, which is thoroughly covered in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Practical AI applications using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For this, we recommend starting with Microsoft Learn modules for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**, and others.
|
||||
* Specific ML **Cloud Frameworks**, such as [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Consider using [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.
|
||||
* **Conversational AI** and **Chat Bots**. There is a separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you can also refer to [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more details.
|
||||
* **Advanced Mathematics** behind deep learning. For this, we recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, which is also available online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
For a beginner-friendly introduction to _AI in the Cloud_, consider taking the [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
For a beginner-friendly introduction to _AI in the Cloud_, consider taking the [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
|
||||
# Content
|
||||
# Content
|
||||
|
||||
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introduction to AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introduction and History of AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolic AI** |
|
||||
| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introduction to AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introduction and History of AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolic AI** |
|
||||
| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron and Creating our own Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Intro to Frameworks (PyTorch/TensorFlow) and Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
|
|
@ -121,36 +121,36 @@ If you're completely new to AI and want quick, hands-on examples, check out our
|
|||
- 🌟 **Hello AI World** - Your first AI program (pattern recognition)
|
||||
- 🧠 **Simple Neural Network** - Build a neural network from scratch
|
||||
- 🖼️ **Image Classifier** - Classify images with detailed comments
|
||||
- 💬 **Text Sentiment** - Analyze positive/negative text
|
||||
- 💬 **Text Sentiment** - Analyze whether text is positive or negative
|
||||
|
||||
These examples are designed to help you understand AI concepts before diving into the full curriculum.
|
||||
These examples are designed to help you grasp AI concepts before diving into the full curriculum.
|
||||
|
||||
### 📚 Full Curriculum Setup
|
||||
|
||||
- We have created a [setup lesson](./lessons/0-course-setup/setup.md) to help you set up your development environment. - For Educators, we have also created a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md)!
|
||||
- We’ve created a [setup lesson](./lessons/0-course-setup/setup.md) to guide you in setting up your development environment. - For educators, we’ve also prepared a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Learn how to [Run the code in VSCode or a Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fork the Repository: Click the "Fork" button at the top-right corner of this page.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to make it easier to find later.
|
||||
Don’t forget to star (🌟) this repo so you can easily find it later.
|
||||
|
||||
## Meet other Learners
|
||||
|
||||
Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to connect and network with other learners taking this course and get support.
|
||||
Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to connect and network with other learners taking this course and to get support.
|
||||
|
||||
If you have product feedback or questions while building, visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzes
|
||||
|
||||
> **A note about quizzes**: All quizzes are located in the Quiz-app folder in etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/). They are linked within the lessons. The quiz app can be run locally or deployed to Azure; follow the instructions in the `quiz-app` folder. Localization is ongoing.
|
||||
> **A note about quizzes**: All quizzes are located in the Quiz-app folder under etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/). They are linked within the lessons. The quiz app can be run locally or deployed to Azure; follow the instructions in the `quiz-app` folder. Localization is ongoing.
|
||||
|
||||
## Help Wanted
|
||||
|
||||
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
|
||||
Have suggestions or found spelling or code errors? Feel free to raise an issue or create a pull request.
|
||||
|
||||
## Special Thanks
|
||||
|
||||
|
|
@ -162,7 +162,13 @@ Do you have suggestions or found spelling or code errors? Raise an issue or crea
|
|||
|
||||
## Other Curricula
|
||||
|
||||
Our team produces other curricula! Check out:
|
||||
Our team creates other curricula! Check them out:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ Our team produces other curricula! Check out:
|
|||
|
||||
## Getting Help
|
||||
|
||||
If you get stuck or have any questions about building AI apps, join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely.
|
||||
If you’re stuck or have questions about building AI apps, join fellow learners and experienced developers in discussions about MCP. It’s a supportive community where questions are welcome, and knowledge is freely shared.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ If you have product feedback or encounter errors while building, visit:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Disclaimer**:
|
||||
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.
|
||||
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be considered the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
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@ -1,88 +1,88 @@
|
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|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Inteligencia Artificial para Principiantes - Un Currículo
|
||||
# Inteligencia Artificial para Principiantes - Un Currículo
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explora el mundo de la **Inteligencia Artificial** (IA) con nuestro currículo de 12 semanas y 24 lecciones. Incluye lecciones prácticas, cuestionarios y laboratorios. El currículo está diseñado para principiantes y cubre herramientas como TensorFlow y PyTorch, además de ética en IA.
|
||||
Explora el mundo de la **Inteligencia Artificial** (IA) con nuestro currículo de 12 semanas y 24 lecciones. Incluye lecciones prácticas, cuestionarios y laboratorios. El currículo está diseñado para principiantes y abarca herramientas como TensorFlow y PyTorch, así como ética en la IA.
|
||||
|
||||
### 🌐 Soporte Multilingüe
|
||||
### 🌐 Soporte Multilingüe
|
||||
|
||||
#### Disponible a través de GitHub Action (Automatizado y Siempre Actualizado)
|
||||
#### Soportado a través de GitHub Action (Automatizado y Siempre Actualizado)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (Simplificado)](../zh/README.md) | [Chino (Tradicional, Hong Kong)](../hk/README.md) | [Chino (Tradicional, Macao)](../mo/README.md) | [Chino (Tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Holandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Canarés](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Malayalam](../ml/README.md) | [Maratí](../mr/README.md) | [Nepalí](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Noruego](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (Simplificado)](../zh/README.md) | [Chino (Tradicional, Hong Kong)](../hk/README.md) | [Chino (Tradicional, Macao)](../mo/README.md) | [Chino (Tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Holandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Canarés](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Malayalam](../ml/README.md) | [Maratí](../mr/README.md) | [Nepalí](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Noruego](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Suajili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Si deseas que se admitan idiomas adicionales, los idiomas compatibles están listados [aquí](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Si deseas que se soporten idiomas adicionales, consulta la lista [aquí](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Únete a la Comunidad
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Únete a la Comunidad
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Lo que aprenderás
|
||||
## Lo que aprenderás
|
||||
|
||||
**[Mapa mental del curso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Mapa mental del curso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
En este currículo, aprenderás:
|
||||
En este currículo, aprenderás:
|
||||
|
||||
* Diferentes enfoques de la Inteligencia Artificial, incluyendo el enfoque simbólico "tradicional" con **Representación del Conocimiento** y razonamiento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neuronales** y **Aprendizaje Profundo**, que son el núcleo de la IA moderna. Ilustraremos los conceptos detrás de estos temas importantes utilizando código en dos de los marcos más populares: [TensorFlow](http://Tensorflow.org) y [PyTorch](http://pytorch.org).
|
||||
* **Arquitecturas Neuronales** para trabajar con imágenes y texto. Cubriremos modelos recientes, aunque puede que falte un poco en lo último en tecnología.
|
||||
* Enfoques menos populares de IA, como **Algoritmos Genéticos** y **Sistemas Multi-Agente**.
|
||||
* Diferentes enfoques de la Inteligencia Artificial, incluyendo el enfoque simbólico "de la vieja escuela" con **Representación del Conocimiento** y razonamiento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neuronales** y **Aprendizaje Profundo**, que son el núcleo de la IA moderna. Ilustraremos los conceptos detrás de estos temas importantes utilizando código en dos de los frameworks más populares: [TensorFlow](http://Tensorflow.org) y [PyTorch](http://pytorch.org).
|
||||
* **Arquitecturas Neuronales** para trabajar con imágenes y texto. Cubriremos modelos recientes, aunque puede que no sean los más avanzados.
|
||||
* Enfoques menos populares de IA, como **Algoritmos Genéticos** y **Sistemas Multi-Agente**.
|
||||
|
||||
Lo que no cubriremos en este currículo:
|
||||
Lo que no cubriremos en este currículo:
|
||||
|
||||
> [Encuentra todos los recursos adicionales para este curso en nuestra colección de Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Encuentra todos los recursos adicionales para este curso en nuestra colección de Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Casos de negocio de uso de **IA en Negocios**. Considera tomar el camino de aprendizaje [Introducción a la IA para usuarios de negocios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) en Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desarrollado en cooperación con [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizaje Automático Clásico**, que está bien descrito en nuestro [Currículo de Aprendizaje Automático para Principiantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicaciones prácticas de IA construidas utilizando **[Servicios Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para esto, recomendamos comenzar con los módulos de Microsoft Learn para [visión](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesamiento de lenguaje natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** y otros.
|
||||
* Marcos específicos de ML **en la Nube**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera usar los caminos de aprendizaje [Construir y operar soluciones de aprendizaje automático con Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) y [Construir y operar soluciones de aprendizaje automático con Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** y **Chat Bots**. Hay un camino de aprendizaje separado [Crear soluciones de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), y también puedes consultar [esta publicación de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para más detalles.
|
||||
* **Matemáticas Avanzadas** detrás del aprendizaje profundo. Para esto, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio y Aaron Courville, que también está disponible en línea en [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Casos de negocio del uso de **IA en los Negocios**. Considera tomar el curso [Introducción a la IA para usuarios de negocios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) en Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desarrollado en cooperación con [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizaje Automático Clásico**, que está bien descrito en nuestro [Currículo de Aprendizaje Automático para Principiantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicaciones prácticas de IA construidas usando **[Servicios Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para esto, recomendamos comenzar con los módulos de Microsoft Learn para [visión](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesamiento de lenguaje natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** y otros.
|
||||
* Frameworks específicos de ML en la **Nube**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera usar los caminos de aprendizaje [Construir y operar soluciones de aprendizaje automático con Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) y [Construir y operar soluciones de aprendizaje automático con Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** y **Chat Bots**. Hay un camino de aprendizaje separado [Crear soluciones de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), y también puedes consultar [esta publicación de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para más detalles.
|
||||
* **Matemáticas Avanzadas** detrás del aprendizaje profundo. Para esto, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio y Aaron Courville, que también está disponible en línea en [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Para una introducción sencilla a los temas de _IA en la Nube_, puedes considerar tomar el camino de aprendizaje [Comienza con inteligencia artificial en Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Para una introducción sencilla a los temas de _IA en la Nube_, puedes considerar tomar el camino de aprendizaje [Comienza con inteligencia artificial en Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Contenido
|
||||
# Contenido
|
||||
|
||||
| | Enlace de la Lección | PyTorch/Keras/TensorFlow | Laboratorio |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configuración del Curso](./lessons/0-course-setup/setup.md) | [Configura tu Entorno de Desarrollo](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introducción a la IA**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introducción e Historia de la IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA Simbólica** |
|
||||
| 02 | [Representación del Conocimiento y Sistemas Expertos](./lessons/2-Symbolic/README.md) | [Sistemas Expertos](./lessons/2-Symbolic/Animals.ipynb) / [Ontología](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introducción a Redes Neuronales**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Enlace a la Lección | PyTorch/Keras/TensorFlow | Laboratorio |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configuración del Curso](./lessons/0-course-setup/setup.md) | [Configura tu Entorno de Desarrollo](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introducción a la IA**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introducción e Historia de la IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA Simbólica** |
|
||||
| 02 | [Representación del Conocimiento y Sistemas Expertos](./lessons/2-Symbolic/README.md) | [Sistemas Expertos](./lessons/2-Symbolic/Animals.ipynb) / [Ontología](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Gráfico de Conceptos](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introducción a Redes Neuronales**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptrón](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptrón Multicapa y Creación de nuestro propio Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introducción a Frameworks (PyTorch/TensorFlow) y Sobreajuste](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [Introducción a Frameworks (PyTorch/TensorFlow) y Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visión por Computadora**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorar Visión por Computadora en Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introducción a Visión por Computadora. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorio](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neuronales Convolucionales](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquitecturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pre-entrenadas y Aprendizaje por Transferencia](./lessons/4-ComputerVision/08-TransferLearning/README.md) y [Trucos de Entrenamiento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Redes Pre-entrenadas y Transferencia de Aprendizaje](./lessons/4-ComputerVision/08-TransferLearning/README.md) y [Trucos de Entrenamiento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders y VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Redes Generativas Antagónicas y Transferencia de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detección de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorio](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
|
|
@ -121,14 +121,14 @@ Si eres completamente nuevo en IA y quieres ejemplos prácticos rápidos, consul
|
|||
- 🌟 **Hola Mundo de la IA** - Tu primer programa de IA (reconocimiento de patrones)
|
||||
- 🧠 **Red Neuronal Simple** - Construye una red neuronal desde cero
|
||||
- 🖼️ **Clasificador de Imágenes** - Clasifica imágenes con comentarios detallados
|
||||
- 💬 **Análisis de Sentimientos** - Analiza texto positivo/negativo
|
||||
- 💬 **Análisis de Sentimientos de Texto** - Analiza texto positivo/negativo
|
||||
|
||||
Estos ejemplos están diseñados para ayudarte a comprender conceptos de IA antes de sumergirte en el currículo completo.
|
||||
Estos ejemplos están diseñados para ayudarte a comprender conceptos de IA antes de sumergirte en el plan de estudios completo.
|
||||
|
||||
### 📚 Configuración del Currículo Completo
|
||||
### 📚 Configuración del Plan de Estudios Completo
|
||||
|
||||
- Hemos creado una [lección de configuración](./lessons/0-course-setup/setup.md) para ayudarte a configurar tu entorno de desarrollo. - Para educadores, también hemos creado una [lección de configuración del currículo](./lessons/0-course-setup/for-teachers.md) para ustedes.
|
||||
- Cómo [Ejecutar el código en VSCode o Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Hemos creado una [lección de configuración](./lessons/0-course-setup/setup.md) para ayudarte a configurar tu entorno de desarrollo. - Para educadores, también hemos creado una [lección de configuración del plan de estudios](./lessons/0-course-setup/for-teachers.md).
|
||||
- Cómo [ejecutar el código en VSCode o Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Sigue estos pasos:
|
||||
|
||||
|
|
@ -136,21 +136,21 @@ Haz un Fork del Repositorio: Haz clic en el botón "Fork" en la esquina superior
|
|||
|
||||
Clona el Repositorio: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
No olvides darle una estrella (🌟) a este repositorio para encontrarlo más fácilmente después.
|
||||
No olvides darle una estrella (🌟) a este repositorio para encontrarlo más fácilmente más tarde.
|
||||
|
||||
## Conoce a otros estudiantes
|
||||
## Conoce a otros Estudiantes
|
||||
|
||||
Únete a nuestro [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conocer y conectar con otros estudiantes que están tomando este curso y obtener apoyo.
|
||||
Únete a nuestro [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conocer y conectar con otros estudiantes que están tomando este curso y obtener soporte.
|
||||
|
||||
Si tienes comentarios sobre el producto o preguntas mientras construyes, visita nuestro [Foro de Desarrolladores de Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Cuestionarios
|
||||
|
||||
> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta Quiz-app en etc\quiz-app, o [En línea aquí](https://ff-quizzes.netlify.app/) Están vinculados desde las lecciones y la aplicación de cuestionarios puede ejecutarse localmente o desplegarse en Azure; sigue las instrucciones en la carpeta `quiz-app`. Se están localizando gradualmente.
|
||||
> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta Quiz-app en etc\quiz-app, o [en línea aquí](https://ff-quizzes.netlify.app/). Están vinculados desde las lecciones, la aplicación de cuestionarios se puede ejecutar localmente o desplegar en Azure; sigue las instrucciones en la carpeta `quiz-app`. Se están localizando gradualmente.
|
||||
|
||||
## Se necesita ayuda
|
||||
## Se Busca Ayuda
|
||||
|
||||
¿Tienes sugerencias o encontraste errores de ortografía o código? Crea un issue o un pull request.
|
||||
¿Tienes sugerencias o encontraste errores de ortografía o en el código? Crea un issue o un pull request.
|
||||
|
||||
## Agradecimientos Especiales
|
||||
|
||||
|
|
@ -158,47 +158,53 @@ Si tienes comentarios sobre el producto o preguntas mientras construyes, visita
|
|||
* **🔥 Editora:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustradora de Sketchnotes:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Creadora de Cuestionarios:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contribuyentes Principales:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Contribuidores Principales:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Otros Currículos
|
||||
## Otros Planes de Estudio
|
||||
|
||||
¡Nuestro equipo produce otros currículos! Échales un vistazo:
|
||||
¡Nuestro equipo produce otros planes de estudio! Échales un vistazo:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentes
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie de IA Generativa
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Aprendizaje Central
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
### Serie de Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Obtener Ayuda
|
||||
|
||||
Si te quedas atascado o tienes preguntas sobre cómo construir aplicaciones de IA. Únete a otros estudiantes y desarrolladores experimentados en discusiones sobre MCP. Es una comunidad de apoyo donde las preguntas son bienvenidas y el conocimiento se comparte libremente.
|
||||
Si te quedas atascado o tienes preguntas sobre cómo construir aplicaciones de IA, únete a otros estudiantes y desarrolladores experimentados en discusiones sobre MCP. Es una comunidad de apoyo donde las preguntas son bienvenidas y el conocimiento se comparte libremente.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Si tienes comentarios sobre el producto o errores mientras construyes, visita:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Descargo de responsabilidad**:
|
||||
Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por lograr precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o imprecisiones. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables de malentendidos o interpretaciones erróneas que surjan del uso de esta traducción.
|
||||
Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Si bien nos esforzamos por lograr precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o imprecisiones. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables de malentendidos o interpretaciones erróneas que surjan del uso de esta traducción.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:32:03+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:07:06+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| Tehisintellekt algajatele - _Sketchnote autorilt [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Avasta **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppekava abil! See sisaldab praktilisi tunde, teste ja laboreid. Õppekava on algajasõbralik ja hõlmab tööriistu nagu TensorFlow ja PyTorch ning käsitleb ka AI eetikat.
|
||||
Avasta **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppekava abil! See sisaldab praktilisi tunde, teste ja laboreid. Õppekava on algajasõbralik ja hõlmab tööriistu nagu TensorFlow ja PyTorch ning ka AI eetikat.
|
||||
|
||||
### 🌐 Mitmekeelne tugi
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ Avasta **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppe
|
|||
[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (lihtsustatud)](../zh/README.md) | [Hiina (traditsiooniline, Hongkong)](../hk/README.md) | [Hiina (traditsiooniline, Macau)](../mo/README.md) | [Hiina (traditsiooniline, Taiwan)](../tw/README.md) | [Horvaatia](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Malajalami](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeeria pidgin](../pcm/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../br/README.md) | [Portugali (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suahiili](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalogi (Filipiinid)](../tl/README.md) | [Tamili](../ta/README.md) | [Telugu](../te/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Kui soovite lisada täiendavaid tõlkeid, on toetatud keeled loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Kui soovite lisada täiendavaid tõlkeid, toetatud keeled on loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Liitu kogukonnaga
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,23 +48,23 @@ Avasta **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppe
|
|||
|
||||
Selles õppekavas õpid:
|
||||
|
||||
* Erinevaid lähenemisviise tehisintellektile, sealhulgas "vana hea" sümboolse lähenemisega **teadmiste esitus** ja järeldamine ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuraalvõrgud** ja **sügavõpe**, mis on kaasaegse AI tuumaks. Selgitame nende oluliste teemade kontseptsioone koodiga kahes populaarseimas raamistikus - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
|
||||
* **Neuraalsed arhitektuurid** piltide ja tekstiga töötamiseks. Käsitleme hiljutisi mudeleid, kuid võib-olla jääme veidi maha tipptasemest.
|
||||
* Vähem levinud AI lähenemisviise, nagu **geneetilised algoritmid** ja **mitmeagendilised süsteemid**.
|
||||
* Erinevaid lähenemisi tehisintellektile, sealhulgas "vana hea" sümboolse lähenemisega **teadmiste esitus** ja järeldamine ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuraalvõrgud** ja **sügavõpe**, mis on kaasaegse AI tuum. Selgitame nende oluliste teemade kontseptsioone koodiga kahes populaarseimas raamistikus - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
|
||||
* **Neuraalsed arhitektuurid** piltide ja tekstiga töötamiseks. Käsitleme hiljutisi mudeleid, kuid võime jääda veidi maha tipptasemest.
|
||||
* Vähem tuntud AI lähenemised, nagu **geneetilised algoritmid** ja **mitmeagendilised süsteemid**.
|
||||
|
||||
Mida me selles õppekavas ei käsitle:
|
||||
|
||||
> [Leia kõik täiendavad ressursid selle kursuse jaoks meie Microsoft Learn kogumikust](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI ärikasutuse** ärijuhtumid. Soovitame läbida [Sissejuhatus AI-sse ärikasutajatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) õpitee Microsoft Learnis või [AI ärikool](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), mis on välja töötatud koostöös [INSEAD](https://www.insead.edu/).
|
||||
* **AI ärikasutuse** ärijuhtumid. Soovitame võtta [Sissejuhatus AI-sse ärikasutajatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) õpitee Microsoft Learnis või [AI ärikool](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), mis on välja töötatud koostöös [INSEAD](https://www.insead.edu/).
|
||||
* **Klassikaline masinõpe**, mis on hästi kirjeldatud meie [Masinõpe algajatele õppekavas](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktilised AI rakendused, mis on loodud **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** abil. Selleks soovitame alustada Microsoft Learni moodulitega [visioon](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [loomuliku keele töötlemine](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiivne AI Azure OpenAI teenusega](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja teised.
|
||||
* Spetsiifilised ML **pilveraamistikud**, nagu [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) või [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Soovitame kasutada [Ehita ja halda masinõppe lahendusi Azure Machine Learninguga](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Ehita ja halda masinõppe lahendusi Azure Databricksiga](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) õpiteid.
|
||||
* **Vestlus-AI** ja **vestlusrobotid**. Selle jaoks on eraldi [Loo vestlus-AI lahendusi](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) õpitee, samuti võite viidata [sellele blogipostitusele](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) lisateabe saamiseks.
|
||||
* **Sügav matemaatika** sügavõppe taga. Selleks soovitame Ian Goodfellow, Yoshua Bengio ja Aaron Courville'i raamatut [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618), mis on saadaval ka veebis aadressil [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **Vestlus-AI** ja **vestlusrobotid**. Selle jaoks on eraldi [Loo vestlus-AI lahendusi](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) õpitee ja lisainfot leiad ka [sellest blogipostitusest](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
|
||||
* **Sügav matemaatika** sügavõppe taga. Selleks soovitame raamatut [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autoritelt Ian Goodfellow, Yoshua Bengio ja Aaron Courville, mis on saadaval ka veebis [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Õrnaks sissejuhatuseks _AI pilves_ teemadesse võite kaaluda [Sissejuhatus tehisintellekti Azure'is](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) õpitee läbimist.
|
||||
Õrnaks sissejuhatuseks _AI pilves_ teemadesse võid kaaluda [Sissejuhatus tehisintellekti Azure'is](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) õpitee läbimist.
|
||||
|
||||
# Sisu
|
||||
|
||||
|
|
@ -116,18 +116,18 @@ Mida me selles õppekavas ei käsitle:
|
|||
|
||||
### 🎯 Uus tehisintellektis? Alusta siit!
|
||||
|
||||
Kui oled tehisintellektis täiesti algaja ja soovid kiireid praktilisi näiteid, vaata meie [**Algajasõbralikke näiteid**](./examples/README.md)! Need sisaldavad:
|
||||
Kui oled tehisintellektis täiesti uus ja soovid kiireid praktilisi näiteid, vaata meie [**Algajasõbralikke näiteid**](./examples/README.md)! Need sisaldavad:
|
||||
|
||||
- 🌟 **Tere, tehisintellekti maailm** - Sinu esimene tehisintellekti programm (mustrimärkimine)
|
||||
- 🧠 **Lihtne närvivõrk** - Loo närvivõrk nullist
|
||||
- 🖼️ **Pildiklassifikaator** - Klassifitseeri pilte koos üksikasjalike kommentaaridega
|
||||
- 💬 **Teksti meeleolu** - Analüüsi positiivset/negatiivset teksti
|
||||
- 💬 **Teksti sentiment** - Analüüsi positiivset/negatiivset teksti
|
||||
|
||||
Need näited on loodud selleks, et aidata sul mõista tehisintellekti kontseptsioone enne, kui sukeldud täies mahus õppekavasse.
|
||||
Need näited on loodud selleks, et aidata sul mõista AI kontseptsioone enne, kui sukeldud täies mahus õppekavasse.
|
||||
|
||||
### 📚 Täieliku õppekava seadistamine
|
||||
|
||||
- Oleme loonud [seadistamise õppetunni](./lessons/0-course-setup/setup.md), et aidata sul arenduskeskkonda seadistada. - Õpetajatele oleme loonud ka [õppekava seadistamise õppetunni](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Oleme loonud [seadistamise tunni](./lessons/0-course-setup/setup.md), et aidata sind arenduskeskkonna seadistamisel. - Õpetajatele oleme loonud [õppekava seadistamise tunni](./lessons/0-course-setup/for-teachers.md) ka!
|
||||
- Kuidas [koodi käivitada VSCode'is või Codespaces'is](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Järgi neid samme:
|
||||
|
|
@ -136,33 +136,39 @@ Forki repositoorium: Klõpsa selle lehe paremas ülanurgas nupul "Fork".
|
|||
|
||||
Klooni repositoorium: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ära unusta sellele repositooriumile tärni (🌟) lisada, et seda hiljem lihtsamini leida.
|
||||
Ära unusta tähistada (🌟) seda repositooriumi, et hiljem oleks lihtsam leida.
|
||||
|
||||
## Kohtu teiste õppijatega
|
||||
|
||||
Liitu meie [ametliku AI Discord serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja suhelda teiste selle kursuse õppijatega ning saada tuge.
|
||||
Liitu meie [ametliku AI Discord serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja suhelda teiste õppijatega, kes seda kursust läbivad, ning saada tuge.
|
||||
|
||||
Kui sul on toote tagasisidet või küsimusi ehitamise ajal, külasta meie [Azure AI Foundry arendajate foorumit](https://aka.ms/foundry/forum).
|
||||
|
||||
## Viktoriinid
|
||||
|
||||
> **Märkus viktoriinide kohta**: Kõik viktoriinid asuvad kaustas Quiz-app, teekonnas etc\quiz-app, või [veebis siin](https://ff-quizzes.netlify.app/). Need on seotud õppetundidega ja viktoriinirakendust saab käivitada kohapeal või juurutada Azure'is; järgige juhiseid kaustas `quiz-app`. Viktoriinid lokaliseeritakse järk-järgult.
|
||||
> **Märkus viktoriinide kohta**: Kõik viktoriinid asuvad kaustas Quiz-app, teekonnas etc\quiz-app, või [veebis siin](https://ff-quizzes.netlify.app/). Need on seotud tundidega ja viktoriinirakendust saab käivitada kohapeal või Azure'is; järgige juhiseid kaustas `quiz-app`. Viktoriinid lokaliseeritakse järk-järgult.
|
||||
|
||||
## Vajame abi
|
||||
## Abi otsitakse
|
||||
|
||||
Kas sul on ettepanekuid või leidsid kirjavigu või koodivigu? Tõsta probleem või loo pull request.
|
||||
|
||||
## Erilised tänud
|
||||
## Eriline tänu
|
||||
|
||||
* **✍️ Peamine autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Toimetaja:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Illustratsioonide autor:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Viktoriinide looja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Põhikontribuuteerijad:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Põhikontribuendid:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Teised õppekavad
|
||||
## Muud õppekavad
|
||||
|
||||
Meie meeskond toodab ka teisi õppekavasid! Vaata:
|
||||
Meie tiim toodab ka teisi õppekavasid! Vaata:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agendid
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -184,7 +190,7 @@ Meie meeskond toodab ka teisi õppekavasid! Vaata:
|
|||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -202,7 +208,7 @@ Kui jääd hätta või sul on küsimusi AI rakenduste loomise kohta, liitu teist
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Kui sul on toote tagasisidet või vigu ehitamise ajal, külasta:
|
||||
Kui sul on toote tagasisidet või ehitamise ajal vigu, külasta:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Kui sul on toote tagasisidet või vigu ehitamise ajal, külasta:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Lahtiütlus**:
|
||||
See dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palume arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algses keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitame kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti tõlgenduste eest.
|
||||
See dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsuse, palume arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algkeeles tuleks lugeda autoriteetseks allikaks. Olulise teabe puhul soovitame kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valede tõlgenduste eest.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,187 +1,162 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:13:00+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:55:36+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "fa"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# هوش مصنوعی برای مبتدیان - یک برنامه آموزشی
|
||||
# هوش مصنوعی برای مبتدیان - یک برنامه درسی
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| هوش مصنوعی برای مبتدیان - _طرحنگاری توسط [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| هوش مصنوعی برای مبتدیان - _طرحواره توسط [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
دنیای **هوش مصنوعی** (AI) را با برنامه آموزشی ۱۲ هفتهای و ۲۴ درس ما کشف کنید! این برنامه شامل درسهای عملی، آزمونها و آزمایشگاهها است. این برنامه آموزشی برای مبتدیان طراحی شده و ابزارهایی مانند TensorFlow و PyTorch و همچنین اخلاق در هوش مصنوعی را پوشش میدهد.
|
||||
دنیای **هوش مصنوعی** (AI) را با برنامه درسی ۱۲ هفتهای و ۲۴ درس ما کشف کنید! این برنامه شامل درسهای عملی، آزمونها و آزمایشگاهها است. این برنامه درسی برای مبتدیان طراحی شده و ابزارهایی مانند TensorFlow و PyTorch و همچنین اخلاق در هوش مصنوعی را پوشش میدهد.
|
||||
|
||||
### 🌐 پشتیبانی چندزبانه
|
||||
### 🌐 پشتیبانی چندزبانه
|
||||
|
||||
#### پشتیبانی شده از طریق GitHub Action (خودکار و همیشه بهروز)
|
||||
#### پشتیبانی شده از طریق GitHub Action (خودکار و همیشه بهروز)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [برمهای (میانمار)](../my/README.md) | [چینی (سادهشده)](../zh/README.md) | [چینی (سنتی، هنگکنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کرواتی](../hr/README.md) | [چکی](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [استونیایی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجاری](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [کانادا](../kn/README.md) | [کرهای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مالایالام](../ml/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [پیجین نیجریهای](../pcm/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [پنجابی (گورمخی)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواکی](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تاگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تلوگو](../te/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [برمهای (میانمار)](../my/README.md) | [چینی (سادهشده)](../zh/README.md) | [چینی (سنتی، هنگکنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کرواتی](../hr/README.md) | [چکی](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [استونیایی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجاری](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [کانادا](../kn/README.md) | [کرهای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مالایالام](../ml/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [پیجین نیجریهای](../pcm/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [پنجابی (گورموخی)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواکی](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تاگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تلوگو](../te/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**اگر میخواهید زبانهای ترجمه اضافی پشتیبانی شوند، لیست زبانهای پشتیبانی شده [اینجا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) موجود است**
|
||||
**اگر میخواهید زبانهای ترجمه بیشتری پشتیبانی شوند، لیست زبانهای پشتیبانیشده [اینجا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) موجود است.**
|
||||
|
||||
## به جامعه بپیوندید
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## به جامعه بپیوندید
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## آنچه یاد خواهید گرفت
|
||||
## آنچه خواهید آموخت
|
||||
|
||||
**[نقشه ذهنی دوره](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[نقشه ذهنی دوره](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
در این برنامه آموزشی، شما یاد خواهید گرفت:
|
||||
در این برنامه درسی، شما یاد خواهید گرفت:
|
||||
|
||||
* رویکردهای مختلف به هوش مصنوعی، از جمله رویکرد نمادین "قدیمی خوب" با **نمایش دانش** و استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **شبکههای عصبی** و **یادگیری عمیق** که در قلب هوش مصنوعی مدرن قرار دارند. ما مفاهیم پشت این موضوعات مهم را با استفاده از کد در دو چارچوب محبوب - [TensorFlow](http://Tensorflow.org) و [PyTorch](http://pytorch.org) توضیح خواهیم داد.
|
||||
* **معماریهای عصبی** برای کار با تصاویر و متن. ما مدلهای اخیر را پوشش خواهیم داد اما ممکن است کمی در زمینه پیشرفتهترین مدلها کمبود داشته باشیم.
|
||||
* رویکردهای کمتر محبوب هوش مصنوعی، مانند **الگوریتمهای ژنتیک** و **سیستمهای چندعاملی**.
|
||||
* رویکردهای مختلف به هوش مصنوعی، از جمله رویکرد "قدیمی" نمادین با **نمایش دانش** و استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **شبکههای عصبی** و **یادگیری عمیق** که در هسته هوش مصنوعی مدرن قرار دارند. ما مفاهیم پشت این موضوعات مهم را با استفاده از کد در دو چارچوب محبوب - [TensorFlow](http://Tensorflow.org) و [PyTorch](http://pytorch.org) - توضیح خواهیم داد.
|
||||
* **معماریهای عصبی** برای کار با تصاویر و متن. ما مدلهای اخیر را پوشش خواهیم داد اما ممکن است در زمینه پیشرفتهترین مدلها کمی کمبود داشته باشیم.
|
||||
* رویکردهای کمتر محبوب هوش مصنوعی، مانند **الگوریتمهای ژنتیک** و **سیستمهای چندعاملی**.
|
||||
|
||||
آنچه در این برنامه آموزشی پوشش داده نمیشود:
|
||||
آنچه در این برنامه درسی پوشش داده نخواهد شد:
|
||||
|
||||
> [تمام منابع اضافی برای این دوره را در مجموعه Microsoft Learn ما پیدا کنید](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [تمام منابع اضافی این دوره را در مجموعه Microsoft Learn ما پیدا کنید](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* موارد تجاری استفاده از **هوش مصنوعی در تجارت**. در نظر بگیرید که مسیر یادگیری [مقدمهای بر هوش مصنوعی برای کاربران تجاری](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) را در Microsoft Learn یا [مدرسه کسبوکار هوش مصنوعی](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) که با همکاری [INSEAD](https://www.insead.edu/) توسعه یافته است، بگذرانید.
|
||||
* **یادگیری ماشین کلاسیک** که به خوبی در برنامه آموزشی [یادگیری ماشین برای مبتدیان](http://github.com/Microsoft/ML-for-Beginners) ما توضیح داده شده است.
|
||||
* کاربردهای عملی هوش مصنوعی که با استفاده از **[خدمات شناختی](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ساخته شدهاند. برای این، توصیه میکنیم با ماژولهای Microsoft Learn برای [بینایی](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [پردازش زبان طبیعی](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[هوش مصنوعی تولیدی با سرویس Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** و دیگر موارد شروع کنید.
|
||||
* چارچوبهای ابری خاص یادگیری ماشین مانند [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). در نظر بگیرید که مسیرهای یادگیری [ساخت و بهرهبرداری از راهحلهای یادگیری ماشین با Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و [ساخت و بهرهبرداری از راهحلهای یادگیری ماشین با Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) را بگذرانید.
|
||||
* **هوش مصنوعی مکالمهای** و **چتباتها**. یک مسیر یادگیری جداگانه [ایجاد راهحلهای هوش مصنوعی مکالمهای](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) وجود دارد و همچنین میتوانید به [این پست وبلاگ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) برای جزئیات بیشتر مراجعه کنید.
|
||||
* **ریاضیات عمیق** پشت یادگیری عمیق. برای این، ما کتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) نوشته ایان گودفلو، یوشوا بنگیو و آرون کورویل را توصیه میکنیم که به صورت آنلاین نیز در دسترس است [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* موارد تجاری استفاده از **هوش مصنوعی در تجارت**. پیشنهاد میکنیم مسیر یادگیری [مقدمهای بر هوش مصنوعی برای کاربران تجاری](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) را در Microsoft Learn یا [مدرسه کسبوکار هوش مصنوعی](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) که با همکاری [INSEAD](https://www.insead.edu/) توسعه یافته است، بگذرانید.
|
||||
* **یادگیری ماشین کلاسیک** که بهخوبی در [برنامه درسی یادگیری ماشین برای مبتدیان](http://github.com/Microsoft/ML-for-Beginners) ما توضیح داده شده است.
|
||||
* کاربردهای عملی هوش مصنوعی که با استفاده از **[خدمات شناختی](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ساخته شدهاند. برای این منظور، پیشنهاد میکنیم با ماژولهای Microsoft Learn برای [بینایی](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [پردازش زبان طبیعی](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[هوش مصنوعی مولد با سرویس Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** و دیگر موارد شروع کنید.
|
||||
* چارچوبهای ابری خاص یادگیری ماشین، مانند [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). پیشنهاد میکنیم مسیرهای یادگیری [ساخت و بهرهبرداری از راهحلهای یادگیری ماشین با Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و [ساخت و بهرهبرداری از راهحلهای یادگیری ماشین با Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) را بگذرانید.
|
||||
* **هوش مصنوعی مکالمهای** و **چتباتها**. یک مسیر یادگیری جداگانه [ایجاد راهحلهای هوش مصنوعی مکالمهای](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) وجود دارد و همچنین میتوانید به [این پست وبلاگ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) برای جزئیات بیشتر مراجعه کنید.
|
||||
* **ریاضیات عمیق** پشت یادگیری عمیق. برای این منظور، پیشنهاد میکنیم کتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) نوشته ایان گودفلو، یوشوا بنجیو و آرون کورویل را که بهصورت آنلاین در [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) نیز موجود است، مطالعه کنید.
|
||||
|
||||
برای یک مقدمه ملایم به موضوعات _هوش مصنوعی در ابر_ میتوانید مسیر یادگیری [شروع با هوش مصنوعی در Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) را در نظر بگیرید.
|
||||
برای یک مقدمه ملایم به موضوعات _هوش مصنوعی در ابر_، میتوانید مسیر یادگیری [شروع با هوش مصنوعی در Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) را در نظر بگیرید.
|
||||
|
||||
# محتوا
|
||||
# محتوا
|
||||
|
||||
| | لینک درس | PyTorch/Keras/TensorFlow | آزمایشگاه |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [تنظیم دوره](./lessons/0-course-setup/setup.md) | [تنظیم محیط توسعه خود](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**مقدمهای بر هوش مصنوعی**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [مقدمه و تاریخچه هوش مصنوعی](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **هوش مصنوعی نمادین** |
|
||||
| 02 | [نمایش دانش و سیستمهای خبره](./lessons/2-Symbolic/README.md) | [سیستمهای خبره](./lessons/2-Symbolic/Animals.ipynb) / [هستیشناسی](./lessons/2-Symbolic/FamilyOntology.ipynb) /[گراف مفهومی](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**مقدمهای بر شبکههای عصبی**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | لینک درس | PyTorch/Keras/TensorFlow | آزمایشگاه |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [راهاندازی دوره](./lessons/0-course-setup/setup.md) | [راهاندازی محیط توسعه خود](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**مقدمهای بر هوش مصنوعی**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [مقدمه و تاریخچه هوش مصنوعی](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **هوش مصنوعی نمادین** |
|
||||
| 02 | [نمایش دانش و سیستمهای خبره](./lessons/2-Symbolic/README.md) | [سیستمهای خبره](./lessons/2-Symbolic/Animals.ipynb) / [هستیشناسی](./lessons/2-Symbolic/FamilyOntology.ipynb) /[گراف مفهومی](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**مقدمهای بر شبکههای عصبی**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [پرسیپترون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [دفترچه یادداشت](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [آزمایشگاه](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [پرسیپترون چندلایه و ایجاد چارچوب خودمان](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [دفترچه یادداشت](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [آزمایشگاه](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [مقدمهای بر چارچوبها (PyTorch/TensorFlow) و بیشبرازش](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [آزمایشگاه](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**بینایی کامپیوتر**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [کاوش بینایی کامپیوتر در Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| IV | [**بینایی کامپیوتر**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [کاوش بینایی کامپیوتر در مایکروسافت آژور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [مقدمهای بر بینایی کامپیوتر. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [دفترچه یادداشت](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [آزمایشگاه](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [شبکههای عصبی کانولوشنی](./lessons/4-ComputerVision/07-ConvNets/README.md) & [معماریهای CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [آزمایشگاه](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [شبکههای از پیش آموزشدیده و یادگیری انتقالی](./lessons/4-ComputerVision/08-TransferLearning/README.md) و [ترفندهای آموزشی](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [آزمایشگاه](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [اتوکدرها و VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 09 | [اتواینکدرها و VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [شبکههای مولد متخاصم و انتقال سبک هنری](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [تشخیص اشیا](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [آزمایشگاه](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [تقسیمبندی معنایی. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**پردازش زبان طبیعی**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [کاوش پردازش زبان طبیعی در Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 12 | [بخشبندی معنایی. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**پردازش زبان طبیعی**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [کاوش پردازش زبان طبیعی در مایکروسافت آژور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [نمایش متن. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [تعبیه معنایی کلمات. Word2Vec و GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [مدلسازی زبان. آموزش تعبیههای خودتان](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [آزمایشگاه](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [شبکههای عصبی بازگشتی](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [شبکههای بازگشتی مولد](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [آزمایشگاه](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [ترانسفورمرها. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [تشخیص موجودیتهای نامگذاریشده](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [آزمایشگاه](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [مدلهای زبان بزرگ، برنامهنویسی با دستورات و وظایف کمشات](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **سایر تکنیکهای هوش مصنوعی** || |
|
||||
| 21 | [الگوریتمهای ژنتیکی](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [دفترچه یادداشت](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [یادگیری تقویتی عمیق](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [آزمایشگاه](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [سیستمهای چندعاملی](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **اخلاق هوش مصنوعی** | | |
|
||||
| 24 | [اخلاق هوش مصنوعی و هوش مصنوعی مسئولانه](./lessons/7-Ethics/README.md) | [Microsoft Learn: اصول هوش مصنوعی مسئولانه](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **اضافات** | | |
|
||||
| 25 | [شبکههای چندوجهی، CLIP و VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [دفترچه یادداشت](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## هر درس شامل موارد زیر است
|
||||
|
||||
* مطالب پیشخوانی
|
||||
* دفترچههای یادداشت Jupyter قابل اجرا که اغلب مختص چارچوب هستند (**PyTorch** یا **TensorFlow**). دفترچه یادداشت قابل اجرا همچنین شامل مطالب نظری زیادی است، بنابراین برای درک موضوع باید حداقل یک نسخه از دفترچه یادداشت (PyTorch یا TensorFlow) را مرور کنید.
|
||||
* **آزمایشگاهها** که برای برخی موضوعات موجود هستند و به شما فرصت میدهند تا مطالبی که یاد گرفتهاید را روی یک مسئله خاص اعمال کنید.
|
||||
* برخی بخشها شامل لینکهایی به ماژولهای [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) هستند که موضوعات مرتبط را پوشش میدهند.
|
||||
|
||||
## شروع به کار
|
||||
|
||||
### 🎯 تازهوارد به هوش مصنوعی؟ از اینجا شروع کنید!
|
||||
|
||||
اگر کاملاً تازهوارد به هوش مصنوعی هستید و میخواهید مثالهای سریع و عملی را ببینید، به [**مثالهای مناسب برای مبتدیان**](./examples/README.md) ما نگاهی بیندازید! این موارد شامل:
|
||||
|
||||
- 🌟 **سلام به دنیای هوش مصنوعی** - اولین برنامه هوش مصنوعی شما (تشخیص الگو)
|
||||
- 🧠 **شبکه عصبی ساده** - ساخت یک شبکه عصبی از ابتدا
|
||||
- 🖼️ **دستهبندی تصاویر** - دستهبندی تصاویر با توضیحات دقیق
|
||||
- 💬 **تحلیل احساس متن** - بررسی مثبت/منفی بودن متن
|
||||
| 14 | [ج嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀嵀
|
||||
- 💬 **تحلیل احساسات متن** - تحلیل متنهای مثبت/منفی
|
||||
|
||||
این مثالها طراحی شدهاند تا به شما کمک کنند مفاهیم هوش مصنوعی را قبل از ورود به برنامه کامل درک کنید.
|
||||
|
||||
### 📚 تنظیم برنامه کامل
|
||||
### 📚 راهاندازی برنامه کامل
|
||||
|
||||
- ما یک [درس تنظیم](./lessons/0-course-setup/setup.md) ایجاد کردهایم تا به شما در تنظیم محیط توسعه کمک کند. - برای مربیان، ما یک [درس تنظیم برنامه درسی](./lessons/0-course-setup/for-teachers.md) نیز ایجاد کردهایم!
|
||||
- ما یک [درس راهاندازی](./lessons/0-course-setup/setup.md) ایجاد کردهایم تا به شما در تنظیم محیط توسعه کمک کند. - برای معلمان، ما یک [درس راهاندازی برنامه درسی](./lessons/0-course-setup/for-teachers.md) نیز ایجاد کردهایم!
|
||||
- نحوه [اجرای کد در VSCode یا Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
این مراحل را دنبال کنید:
|
||||
|
||||
فورک کردن مخزن: روی دکمه "Fork" در گوشه بالا-راست این صفحه کلیک کنید.
|
||||
مخزن را فورک کنید: روی دکمه "Fork" در گوشه بالا-راست این صفحه کلیک کنید.
|
||||
|
||||
کلون کردن مخزن: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
مخزن را کلون کنید: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
فراموش نکنید که این مخزن را ستارهدار کنید (🌟) تا بعداً راحتتر پیدا کنید.
|
||||
فراموش نکنید که به این مخزن ستاره (🌟) بدهید تا بعداً راحتتر آن را پیدا کنید.
|
||||
|
||||
## ملاقات با دیگر یادگیرندگان
|
||||
|
||||
به [سرور رسمی دیسکورد هوش مصنوعی](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ما بپیوندید تا با دیگر یادگیرندگان این دوره آشنا شوید و شبکهسازی کنید و از حمایت برخوردار شوید.
|
||||
به [سرور رسمی دیسکورد هوش مصنوعی](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) بپیوندید تا با دیگر یادگیرندگان این دوره آشنا شوید و شبکهسازی کنید و پشتیبانی بگیرید.
|
||||
|
||||
اگر بازخورد محصول یا سوالاتی در حین ساخت دارید، به [فروم توسعهدهندگان Azure AI Foundry](https://aka.ms/foundry/forum) مراجعه کنید.
|
||||
اگر بازخوردی درباره محصول یا سوالاتی در حین ساخت دارید، به [فروم توسعهدهندگان Azure AI Foundry](https://aka.ms/foundry/forum) مراجعه کنید.
|
||||
|
||||
## آزمونها
|
||||
|
||||
> **نکتهای درباره آزمونها**: تمام آزمونها در پوشه Quiz-app در مسیر etc\quiz-app قرار دارند، یا [آنلاین اینجا](https://ff-quizzes.netlify.app/) موجود هستند. آنها از داخل درسها لینک شدهاند. اپلیکیشن آزمون میتواند به صورت محلی اجرا شود یا در Azure مستقر شود؛ دستورالعملها را در پوشه `quiz-app` دنبال کنید. این آزمونها به تدریج بومیسازی میشوند.
|
||||
> **یادداشتی درباره آزمونها**: تمام آزمونها در پوشه Quiz-app در مسیر etc\quiz-app قرار دارند، یا [آنلاین اینجا](https://ff-quizzes.netlify.app/) موجود هستند. این آزمونها از داخل درسها لینک شدهاند و میتوانند به صورت محلی اجرا شوند یا به Azure مستقر شوند؛ دستورالعملها در پوشه `quiz-app` موجود است. این آزمونها به تدریج بومیسازی میشوند.
|
||||
|
||||
## درخواست کمک
|
||||
## نیاز به کمک
|
||||
|
||||
آیا پیشنهاداتی دارید یا خطاهای املایی یا کدی پیدا کردهاید؟ یک issue مطرح کنید یا یک pull request ایجاد کنید.
|
||||
آیا پیشنهادی دارید یا خطاهای املایی یا کدی پیدا کردهاید؟ یک issue ایجاد کنید یا یک pull request ارسال کنید.
|
||||
|
||||
## تشکر ویژه
|
||||
|
||||
* **✍️ نویسنده اصلی:** [دمیتری سوشنیکوف](http://soshnikov.com)، دکترا
|
||||
* **🔥 ویراستار:** [جن لوپر](https://twitter.com/jenlooper)، دکترا
|
||||
* **🎨 تصویرگر اسکچنوت:** [تومومی ایمورا](https://twitter.com/girlie_mac)
|
||||
* **🎨 تصویرگر یادداشتهای تصویری:** [تومومی ایمورا](https://twitter.com/girlie_mac)
|
||||
* **✅ سازنده آزمون:** [لطیفه بلو](https://github.com/CinnamonXI)، [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 مشارکتکنندگان اصلی:** [یوگنی پیشچیک](https://github.com/Pe4enIks)
|
||||
|
||||
## سایر برنامههای درسی
|
||||
## برنامههای درسی دیگر
|
||||
|
||||
تیم ما برنامههای درسی دیگری نیز تولید میکند! بررسی کنید:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### سری هوش مصنوعی مولد
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### یادگیری اصلی
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
|
|
@ -198,11 +173,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## دریافت کمک
|
||||
|
||||
اگر گیر کردید یا سوالی درباره ساخت اپلیکیشنهای هوش مصنوعی دارید، به بحثهای مربوط به MCP بپیوندید. این یک جامعه حمایتی است که در آن سوالات خوشآمد هستند و دانش به صورت آزادانه به اشتراک گذاشته میشود.
|
||||
اگر گیر کردید یا سوالی درباره ساخت برنامههای هوش مصنوعی دارید، به یادگیرندگان دیگر و توسعهدهندگان با تجربه در بحثهای مربوط به MCP بپیوندید. این یک جامعه حمایتی است که در آن سوالات خوشآمد هستند و دانش به صورت آزادانه به اشتراک گذاشته میشود.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
اگر بازخورد محصول دارید یا در حین ساخت خطاهایی پیدا کردید، به اینجا مراجعه کنید:
|
||||
اگر بازخوردی درباره محصول دارید یا در حین ساخت با خطا مواجه شدید، به اینجا مراجعه کنید:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +185,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**سلب مسئولیت**:
|
||||
این سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما تلاش میکنیم دقت را حفظ کنیم، لطفاً توجه داشته باشید که ترجمههای خودکار ممکن است شامل خطاها یا نادرستیها باشند. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حساس، ترجمه حرفهای انسانی توصیه میشود. ما مسئولیتی در قبال سوء تفاهمها یا تفسیرهای نادرست ناشی از استفاده از این ترجمه نداریم.
|
||||
این سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما تلاش میکنیم دقت را حفظ کنیم، لطفاً توجه داشته باشید که ترجمههای خودکار ممکن است شامل خطاها یا نادرستیهایی باشد. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حیاتی، ترجمه حرفهای انسانی توصیه میشود. ما هیچ مسئولیتی در قبال سوءتفاهمها یا تفسیرهای نادرست ناشی از استفاده از این ترجمه نداریم.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:53:44+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:34:57+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "fi"
|
||||
}
|
||||
|
|
@ -37,7 +37,7 @@ Tutustu **tekoälyn** (AI) maailmaan 12 viikon ja 24 oppitunnin opetussuunnitelm
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](./README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jos haluat lisätä muita käännöksiä, tuetut kielet löytyvät [täältä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jos haluat lisätä muita kieliä, tuetut kielet löytyvät [täältä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Liity yhteisöön
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -49,90 +49,90 @@ Tutustu **tekoälyn** (AI) maailmaan 12 viikon ja 24 oppitunnin opetussuunnitelm
|
|||
Tässä opetussuunnitelmassa opit:
|
||||
|
||||
* Eri lähestymistapoja tekoälyyn, mukaan lukien "vanha kunnon" symbolinen lähestymistapa **tiedon esittämiseen** ja päättelyyn ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuroverkot** ja **syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Havainnollistamme näitä tärkeitä aiheita koodin avulla kahdessa suosituimmassa kehyksessä - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
|
||||
* **Neuraaliset arkkitehtuurit** kuvien ja tekstin käsittelyyn. Käsittelemme uusia malleja, mutta emme välttämättä kata aivan uusimpia innovaatioita.
|
||||
* **Neuroverkot** ja **syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Havainnollistamme näiden tärkeiden aiheiden käsitteitä koodin avulla kahdessa suosituimmassa kehyksessä - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
|
||||
* **Neuraaliset arkkitehtuurit** kuvien ja tekstin käsittelyyn. Käsittelemme uusia malleja, mutta emme välttämättä kata aivan uusinta teknologiaa.
|
||||
* Vähemmän tunnettuja tekoälylähestymistapoja, kuten **geneettiset algoritmit** ja **moniagenttijärjestelmät**.
|
||||
|
||||
Mitä emme käsittele tässä opetussuunnitelmassa:
|
||||
|
||||
> [Löydä kaikki lisäresurssit tälle kurssille Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **Tekoälyn liiketoimintatapaukset**. Suosittelemme tutustumaan [Johdatus tekoälyyn liiketoimintakäyttäjille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkuun Microsoft Learnissa tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEAD](https://www.insead.edu/):n kanssa.
|
||||
* **Tekoälyn liiketoimintatapaukset**. Suosittelemme ottamaan [Johdanto tekoälyyn liiketoiminnan käyttäjille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppimispolun Microsoft Learnissa tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEAD](https://www.insead.edu/):n kanssa.
|
||||
* **Klassinen koneoppiminen**, joka on hyvin kuvattu [Koneoppiminen aloittelijoille -opetussuunnitelmassamme](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Käytännön tekoälysovellukset, jotka on rakennettu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** avulla. Suosittelemme aloittamaan Microsoft Learnin moduuleilla, kuten [näkö](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollisen kielen käsittely](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiivinen tekoäly Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muut.
|
||||
* Käytännön tekoälysovellukset, jotka on rakennettu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** avulla. Suosittelemme aloittamaan Microsoft Learnin moduuleilla [näkö](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollisen kielen käsittely](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiivinen tekoäly Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muut.
|
||||
* Tietyt ML **pilvikehykset**, kuten [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Suosittelemme oppimispolkuja [Rakenna ja käytä koneoppimisratkaisuja Azure Machine Learningilla](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Rakenna ja käytä koneoppimisratkaisuja Azure Databricksilla](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Keskustelevat tekoälyratkaisut** ja **chatbotit**. On olemassa erillinen [Luo keskustelevia tekoälyratkaisuja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -oppimispolku, ja voit myös viitata [tähän blogikirjoitukseen](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) saadaksesi lisätietoja.
|
||||
* **Syvä matematiikka** syväoppimisen taustalla. Suosittelemme [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) -kirjaa Ian Goodfellowilta, Yoshua Bengiolta ja Aaron Courvillelta, joka on myös saatavilla verkossa osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Jos haluat lempeän johdatuksen _tekoäly pilvessä_ -aiheisiin, harkitse [Johdatus tekoälyyn Azuren avulla](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkua.
|
||||
Hellävaraiseksi johdatukseksi _tekoäly pilvessä_ -aiheisiin voit harkita [Aloita tekoälyn käyttö Azurella](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkua.
|
||||
|
||||
# Sisältö
|
||||
|
||||
| | Oppitunnin linkki | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurssin asennus](./lessons/0-course-setup/setup.md) | [Asenna kehitysympäristösi](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Johdatus tekoälyyn**](./lessons/1-Intro/README.md) | | |
|
||||
| 0 | [Kurssin asennus](./lessons/0-course-setup/setup.md) | [Kehitysympäristön asennus](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Johdanto tekoälyyn**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Johdanto ja tekoälyn historia](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolinen tekoäly** |
|
||||
| 02 | [Tiedon esittäminen ja asiantuntijajärjestelmät](./lessons/2-Symbolic/README.md) | [Asiantuntijajärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Käsitekaavio](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Johdatus neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labra](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Monikerroksinen Perceptron ja Oman Kehyksen Luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labra](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Johdanto Kehyksiin (PyTorch/TensorFlow) ja Ylilärjestäminen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Tietokonenäkö**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu Tietokonenäköön Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Johdanto Tietokonenäköön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labra](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvoluutioneuraaliset Verkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labra](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Esikoulutetut Verkot ja Siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Koulutusvinkit](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| III | [**Johdanto neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Monikerroksinen Perceptron ja oman kehyksen luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Johdanto kehyksiin (PyTorch/TensorFlow) ja ylisovittaminen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Tietokonenäkö**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu tietokonenäköön Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Johdanto tietokonenäköön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvoluutioneuroverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Esikoulutetut verkot ja siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Koulutusvinkit](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autokooderit ja VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatiiviset Kilpailevat Verkot & Taiteellinen Tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektin Tunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labra](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semanttinen Segmentointi. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Luonnollisen Kielen Käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu Luonnollisen Kielen Käsittelyyn Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Tekstin Representaatio. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semanttiset Sanavektorit. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Kielimallinnus. Oman Representaation Kouluttaminen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labra](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Toistuvat Neuraaliverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatiiviset Toistuvat Verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labra](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 10 | [Generatiiviset vastakkaisverkot & taiteellinen tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektien tunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semanttinen segmentointi. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Luonnollisen kielen käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu luonnollisen kielen käsittelyyn Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Tekstin esittäminen. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semanttiset sanavektorit. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Kielimallinnus. Omien sanavektorien kouluttaminen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Toistuvat neuroverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatiiviset toistuvat verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformerit. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Nimeämisen Entiteettien Tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labra](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Suuret Kielimallit, Kehoteohjelmointi ja Vähäisten Esimerkkien Tehtävät](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Muut AI-tekniikat** || |
|
||||
| 21 | [Geneettiset Algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistikirja](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Syvä Vahvistusoppiminen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labra](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Moniagenttijärjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI-etiikka** | | |
|
||||
| 24 | [AI-etiikka ja Vastuullinen AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen AI:n Periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 19 | [Nimien tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Suuret kielimallit, kehotteiden ohjelmointi ja vähäisten esimerkkien tehtävät](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Muut tekoälytekniikat** || |
|
||||
| 21 | [Geneettiset algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistikirja](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Syvä vahvistusoppiminen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Moniagenttiset järjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Tekoälyn etiikka** | | |
|
||||
| 24 | [Tekoälyn etiikka ja vastuullinen tekoäly](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen tekoälyn periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Lisämateriaali** | | |
|
||||
| 25 | [Monimodaaliset Verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistikirja](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Monimodaaliset verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistikirja](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Jokainen oppitunti sisältää
|
||||
|
||||
* Ennakkolukemista
|
||||
* Suoritettavia Jupyter-muistikirjoja, jotka ovat usein kehyskohtaisia (**PyTorch** tai **TensorFlow**). Suoritettava muistikirja sisältää myös paljon teoreettista materiaalia, joten aiheen ymmärtämiseksi sinun tulee käydä läpi vähintään yksi versio muistikirjasta (joko PyTorch tai TensorFlow).
|
||||
* **Labrat**, jotka ovat saatavilla joillekin aiheille ja antavat sinulle mahdollisuuden soveltaa oppimaasi tiettyyn ongelmaan.
|
||||
* **Labit**, jotka ovat saatavilla joillekin aiheille ja antavat mahdollisuuden soveltaa oppimaasi materiaalia tiettyyn ongelmaan.
|
||||
* Joissakin osioissa on linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -moduuleihin, jotka käsittelevät aiheeseen liittyviä teemoja.
|
||||
|
||||
## Aloittaminen
|
||||
|
||||
### 🎯 Uusi AI:lle? Aloita täältä!
|
||||
### 🎯 Uusi tekoälyssä? Aloita tästä!
|
||||
|
||||
Jos olet täysin uusi AI:n parissa ja haluat nopeita, käytännönläheisiä esimerkkejä, tutustu [**Aloittelijaystävällisiin Esimerkkeihin**](./examples/README.md)! Näihin kuuluu:
|
||||
Jos olet täysin uusi tekoälyssä ja haluat nopeita, käytännönläheisiä esimerkkejä, tutustu [**Aloittelijaystävällisiin esimerkkeihin**](./examples/README.md)! Näihin kuuluu:
|
||||
|
||||
- 🌟 **Hello AI World** - Ensimmäinen AI-ohjelmasi (kuvion tunnistus)
|
||||
- 🧠 **Yksinkertainen Neuraaliverkko** - Rakenna neuraaliverkko alusta alkaen
|
||||
- 🖼️ **Kuvien Luokittelu** - Luokittele kuvia yksityiskohtaisilla kommenteilla
|
||||
- 🌟 **Hello AI World** - Ensimmäinen tekoälyohjelmasi (kuvion tunnistus)
|
||||
- 🧠 **Yksinkertainen neuroverkko** - Rakenna neuroverkko alusta alkaen
|
||||
- 🖼️ **Kuvien luokittelu** - Luokittele kuvia yksityiskohtaisilla kommenteilla
|
||||
- 💬 **Tekstin sentimentti** - Analysoi positiivista/negatiivista tekstiä
|
||||
|
||||
Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn käsitteitä ennen kuin sukellat koko oppimateriaaliin.
|
||||
Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn peruskäsitteitä ennen kuin sukellat koko oppimateriaalin pariin.
|
||||
|
||||
### 📚 Koko oppimateriaalin asennus
|
||||
|
||||
- Olemme luoneet [asennusoppitunnin](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristön asennuksessa. - Opettajille olemme luoneet myös [oppimateriaalin asennusoppitunnin](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kuinka [ajaa koodi VSCode:ssa tai Codepace:ssa](./lessons/0-course-setup/how-to-run.md)
|
||||
- Olemme luoneet [asennusoppaan](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristön asennuksessa. - Opettajille olemme luoneet myös [opetussuunnitelman asennusoppaan](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kuinka [ajaa koodi VSCode- tai Codespace-ympäristössä](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Seuraa näitä vaiheita:
|
||||
|
||||
Haarauta arkisto: Klikkaa "Fork"-painiketta tämän sivun oikeassa yläkulmassa.
|
||||
Haarauta arkisto: Klikkaa tämän sivun oikeassa yläkulmassa olevaa "Fork"-painiketta.
|
||||
|
||||
Kloonaa arkisto: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
|
|
@ -142,13 +142,13 @@ Kloonaa arkisto: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
|||
|
||||
Liity [viralliselle AI Discord-palvelimellemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tavataksesi ja verkostoituaksesi muiden kurssia käyvien oppijoiden kanssa ja saadaksesi tukea.
|
||||
|
||||
Jos sinulla on tuote-ehdotuksia tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry Developer Forumilla](https://aka.ms/foundry/forum)
|
||||
Jos sinulla on tuotepalautetta tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry Developer Forumilla](https://aka.ms/foundry/forum).
|
||||
|
||||
## Visailut
|
||||
## Kyselyt
|
||||
|
||||
> **Huomio visailuista**: Kaikki visailut löytyvät Quiz-app-kansiosta polusta etc\quiz-app, tai [verkossa täällä](https://ff-quizzes.netlify.app/). Ne on linkitetty oppitunneilta, ja visailusovellusta voi ajaa paikallisesti tai julkaista Azureen; seuraa ohjeita `quiz-app`-kansiossa. Ne lokalisoidaan vähitellen.
|
||||
> **Huomio kyselyistä**: Kaikki kyselyt löytyvät Quiz-app-kansiosta polusta etc\quiz-app, tai [verkossa täällä](https://ff-quizzes.netlify.app/). Ne on linkitetty oppitunneilta, ja kyselysovellusta voi ajaa paikallisesti tai julkaista Azureen; seuraa ohjeita `quiz-app`-kansiossa. Kyselyitä lokalisoidaan vähitellen.
|
||||
|
||||
## Apua kaivataan
|
||||
## Apua tarvitaan
|
||||
|
||||
Onko sinulla ehdotuksia tai löysitkö kirjoitus- tai koodivirheitä? Luo issue tai tee pull request.
|
||||
|
||||
|
|
@ -157,44 +157,50 @@ Onko sinulla ehdotuksia tai löysitkö kirjoitus- tai koodivirheitä? Luo issue
|
|||
* **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote-kuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Visailujen luoja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **✅ Kyselyiden luoja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Ydinkontribuuttorit:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Muut oppimateriaalit
|
||||
|
||||
Tiimimme tuottaa myös muita oppimateriaaleja! Tutustu:
|
||||
|
||||
### Azure / Edge / MCP / Agentit
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Generatiivinen AI -sarja
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agentit
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generatiivisen tekoälyn sarja
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Ydinkoulutus
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot-sarja
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Apua saatavilla
|
||||
|
||||
|
|
@ -202,7 +208,7 @@ Jos jäät jumiin tai sinulla on kysymyksiä tekoälysovellusten rakentamisesta,
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jos sinulla on tuote-ehdotuksia tai virheitä rakentamisen aikana, käy:
|
||||
Jos sinulla on tuotepalautetta tai virheitä rakentamisen aikana, käy:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Jos sinulla on tuote-ehdotuksia tai virheitä rakentamisen aikana, käy:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Vastuuvapauslauseke**:
|
||||
Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja sen alkuperäisellä kielellä tulisi pitää ensisijaisena lähteenä. Kriittisen tiedon osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa väärinkäsityksistä tai virhetulkinnoista, jotka johtuvat tämän käännöksen käytöstä.
|
||||
Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäisellä kielellä tulisi pitää ensisijaisena lähteenä. Kriittisen tiedon osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa tämän käännöksen käytöstä johtuvista väärinkäsityksistä tai virhetulkinnoista.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:04:12+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:38:57+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "fr"
|
||||
}
|
||||
|
|
@ -58,13 +58,13 @@ Ce que nous ne couvrirons pas dans ce programme :
|
|||
> [Trouvez toutes les ressources supplémentaires pour ce cours dans notre collection Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Les cas d'utilisation de l'**IA en Entreprise**. Pensez à suivre le parcours d'apprentissage [Introduction à l'IA pour les utilisateurs professionnels](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) sur Microsoft Learn, ou [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), développé en collaboration avec [INSEAD](https://www.insead.edu/).
|
||||
* Le **Machine Learning Classique**, qui est bien décrit dans notre [Programme Machine Learning pour Débutants](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* L'**Apprentissage Automatique Classique**, qui est bien décrit dans notre [Programme d'Apprentissage Automatique pour Débutants](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Les applications pratiques de l'IA construites avec **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pour cela, nous vous recommandons de commencer avec les modules Microsoft Learn pour [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [traitement du langage naturel](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA générative avec Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** et d'autres.
|
||||
* Les **Frameworks Cloud ML** spécifiques, comme [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pensez à utiliser les parcours d'apprentissage [Créer et exploiter des solutions d'apprentissage automatique avec Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) et [Créer et exploiter des solutions d'apprentissage automatique avec Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* L'**IA Conversationnelle** et les **Chat Bots**. Il existe un parcours d'apprentissage séparé [Créer des solutions d'IA conversationnelle](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), et vous pouvez également consulter [cet article de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pour plus de détails.
|
||||
* Les **Mathématiques Avancées** derrière l'apprentissage profond. Pour cela, nous recommandons [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) par Ian Goodfellow, Yoshua Bengio et Aaron Courville, également disponible en ligne sur [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Pour une introduction douce aux sujets _IA dans le Cloud_, vous pouvez envisager de suivre le parcours d'apprentissage [Commencer avec l'intelligence artificielle sur Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Pour une introduction douce aux sujets liés à l'_IA dans le Cloud_, vous pouvez envisager de suivre le parcours d'apprentissage [Commencer avec l'intelligence artificielle sur Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Contenu
|
||||
|
||||
|
|
@ -83,19 +83,19 @@ Pour une introduction douce aux sujets _IA dans le Cloud_, vous pouvez envisager
|
|||
| 06 | [Introduction à la vision par ordinateur. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Réseaux neuronaux convolutionnels](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architectures CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Réseaux pré-entraînés et apprentissage par transfert](./lessons/4-ComputerVision/08-TransferLearning/README.md) et [Astuces d'entraînement](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencodeurs et VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Réseaux antagonistes génératifs et transfert de style artistique](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 09 | [Autoencodeurs et VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Réseaux adverses génératifs et transfert de style artistique](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Détection d'objets](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentation sémantique. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Traitement du langage naturel**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorer le traitement du langage naturel sur Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Représentation de texte. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Embeddings sémantiques de mots. Word2Vec et GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modélisation de langage. Entraînement de vos propres embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 15 | [Modélisation de langage. Entraîner vos propres embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Réseaux neuronaux récurrents](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Réseaux récurrents génératifs](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Reconnaissance d'entités nommées](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Grands modèles de langage, programmation par prompts et tâches avec peu d'exemples](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Grands modèles de langage, programmation par prompts et tâches few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Autres techniques d'IA** || |
|
||||
| 21 | [Algorithmes génétiques](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Apprentissage par renforcement profond](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
|
|
@ -107,16 +107,16 @@ Pour une introduction douce aux sujets _IA dans le Cloud_, vous pouvez envisager
|
|||
|
||||
## Chaque leçon contient
|
||||
|
||||
* Du matériel de pré-lecture
|
||||
* Des notebooks Jupyter exécutables, souvent spécifiques au framework (**PyTorch** ou **TensorFlow**). Le notebook exécutable contient également beaucoup de contenu théorique, donc pour comprendre le sujet, vous devez parcourir au moins une version du notebook (PyTorch ou TensorFlow).
|
||||
* **Labs** disponibles pour certains sujets, qui vous permettent d'appliquer le contenu appris à un problème spécifique.
|
||||
* Du matériel de lecture préalable
|
||||
* Des notebooks Jupyter exécutables, souvent spécifiques au framework (**PyTorch** ou **TensorFlow**). Le notebook exécutable contient également beaucoup de contenu théorique, donc pour comprendre le sujet, vous devez parcourir au moins une version du notebook (soit PyTorch, soit TensorFlow).
|
||||
* **Labs** disponibles pour certains sujets, qui vous donnent l'opportunité d'appliquer le matériel appris à un problème spécifique.
|
||||
* Certaines sections contiennent des liens vers des modules [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) qui couvrent des sujets connexes.
|
||||
|
||||
## Commencer
|
||||
## Pour commencer
|
||||
|
||||
### 🎯 Nouveau dans l'IA ? Commencez ici !
|
||||
### 🎯 Nouveau en IA ? Commencez ici !
|
||||
|
||||
Si vous êtes complètement novice en IA et souhaitez des exemples pratiques rapides, consultez nos [**Exemples pour débutants**](./examples/README.md) ! Ceux-ci incluent :
|
||||
Si vous êtes complètement débutant en IA et souhaitez des exemples pratiques rapides, consultez nos [**Exemples pour débutants**](./examples/README.md) ! Ceux-ci incluent :
|
||||
|
||||
- 🌟 **Hello AI World** - Votre premier programme d'IA (reconnaissance de motifs)
|
||||
- 🧠 **Réseau neuronal simple** - Construisez un réseau neuronal à partir de zéro
|
||||
|
|
@ -127,7 +127,7 @@ Ces exemples sont conçus pour vous aider à comprendre les concepts d'IA avant
|
|||
|
||||
### 📚 Configuration du Programme Complet
|
||||
|
||||
- Nous avons créé une [leçon de configuration](./lessons/0-course-setup/setup.md) pour vous aider à configurer votre environnement de développement. - Pour les éducateurs, nous avons également créé une [leçon de configuration pour les enseignants](./lessons/0-course-setup/for-teachers.md) !
|
||||
- Nous avons créé une [leçon d'installation](./lessons/0-course-setup/setup.md) pour vous aider à configurer votre environnement de développement. - Pour les éducateurs, nous avons également créé une [leçon d'installation pour les enseignants](./lessons/0-course-setup/for-teachers.md) !
|
||||
- Comment [exécuter le code dans VSCode ou un Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Suivez ces étapes :
|
||||
|
|
@ -152,18 +152,24 @@ Si vous avez des retours sur le produit ou des questions pendant le développeme
|
|||
|
||||
Vous avez des suggestions ou avez trouvé des erreurs d'orthographe ou de code ? Ouvrez une issue ou créez une pull request.
|
||||
|
||||
## Remerciements spéciaux
|
||||
## Remerciements Spéciaux
|
||||
|
||||
* **✍️ Auteur principal :** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **✍️ Auteur Principal :** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Éditrice :** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Illustratrice de sketchnotes :** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Créatrice de quiz :** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contributeurs principaux :** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🎨 Illustratrice de Sketchnotes :** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Créatrice de Quiz :** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contributeurs Principaux :** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Autres Programmes
|
||||
|
||||
Notre équipe produit d'autres programmes ! Découvrez-les :
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -192,13 +198,13 @@ Notre équipe produit d'autres programmes ! Découvrez-les :
|
|||
---
|
||||
|
||||
### Série Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Obtenir de l'aide
|
||||
## Obtenir de l'Aide
|
||||
|
||||
Si vous êtes bloqué ou avez des questions sur la création d'applications d'IA, rejoignez d'autres apprenants et développeurs expérimentés pour discuter de MCP. C'est une communauté solidaire où les questions sont les bienvenues et les connaissances sont partagées librement.
|
||||
Si vous êtes bloqué ou avez des questions sur la création d'applications IA, rejoignez d'autres apprenants et développeurs expérimentés pour discuter de MCP. C'est une communauté bienveillante où les questions sont les bienvenues et les connaissances sont partagées librement.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Si vous avez des retours sur le produit ou des erreurs pendant le développement
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Avertissement** :
|
||||
Ce document a été traduit à l'aide du service de traduction automatique [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatisées peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la source faisant autorité. Pour des informations critiques, il est recommandé de recourir à une traduction professionnelle humaine. Nous ne sommes pas responsables des malentendus ou des interprétations erronées résultant de l'utilisation de cette traduction.
|
||||
Ce document a été traduit à l'aide du service de traduction IA [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatiques peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la source faisant autorité. Pour des informations critiques, il est recommandé de recourir à une traduction humaine professionnelle. Nous ne sommes pas responsables des malentendus ou des interprétations erronées résultant de l'utilisation de cette traduction.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
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CO_OP_TRANSLATOR_METADATA:
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"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
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"source_file": "README.md",
|
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"language_code": "he"
|
||||
}
|
||||
|
|
@ -34,7 +34,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
#### נתמך באמצעות GitHub Action (אוטומטי ומעודכן תמיד)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (פשוטה)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טייוואן)](../tw/README.md) | [קרואטית](../hr/README.md) | [צ'כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדית](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קנאדה](../kn/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מלאיאלאם](../ml/README.md) | [מראטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [ניגרית פידג'ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסית)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פנג'אבית (גורמוקי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סווהילית](../sw/README.md) | [שוודית](../sv/README.md) | [טאגאלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [טלוגו](../te/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md)
|
||||
[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (פשוטה)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טייוואן)](../tw/README.md) | [קרואטית](../hr/README.md) | [צ'כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדית](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קנאדה](../kn/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מלאיאלאם](../ml/README.md) | [מראטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [ניגרית פידג'ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פארסי)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פנג'אבית (גורמוקי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סווהילית](../sw/README.md) | [שוודית](../sv/README.md) | [טאגאלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [טלוגו](../te/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**אם תרצו להוסיף שפות נוספות, ניתן למצוא את הרשימה [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
|
@ -57,12 +57,12 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
> [מצאו את כל המשאבים הנוספים לקורס זה באוסף Microsoft Learn שלנו](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* מקרי שימוש עסקיים של **בינה מלאכותית בעסקים**. שקלו לקחת את מסלול הלמידה [מבוא לבינה מלאכותית למשתמשים עסקיים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או [בית הספר לעסקים של AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/).
|
||||
* מקרי שימוש עסקיים של **בינה מלאכותית בעסקים**. שקלו לקחת את מסלול הלמידה [מבוא לבינה מלאכותית למשתמשים עסקיים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [בית הספר לעסקים של AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/).
|
||||
* **למידת מכונה קלאסית**, שמתוארת היטב בתוכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* יישומי AI מעשיים שנבנו באמצעות **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, אנו ממליצים להתחיל עם המודולים של Microsoft Learn עבור [ראייה](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[בינה מלאכותית גנרטיבית עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים.
|
||||
* יישומי בינה מלאכותית מעשיים שנבנו באמצעות **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, אנו ממליצים להתחיל עם המודולים של Microsoft Learn עבור [ראייה](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[בינה מלאכותית גנרטיבית עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים.
|
||||
* מסגרות ענן ספציפיות ל-ML, כמו [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), או [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). שקלו להשתמש במסלולי הלמידה [בניית פתרונות למידת מכונה עם Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ו-[בניית פתרונות למידת מכונה עם Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **בינה מלאכותית שיחתית** ו**צ'אטבוטים**. ישנו מסלול למידה נפרד [יצירת פתרונות בינה מלאכותית שיחתית](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), ותוכלו גם לעיין ב[פוסט בבלוג זה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים.
|
||||
* **מתמטיקה מעמיקה** מאחורי למידה עמוקה. לשם כך, אנו ממליצים על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת איאן גודפלו, יושוע בנג'יו וארון קורוויל, הזמין גם באינטרנט ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **מתמטיקה עמוקה** מאחורי למידה עמוקה. לשם כך, אנו ממליצים על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת איאן גודפלו, יושוע בנג'יו וארון קורוויל, הזמין גם באינטרנט ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
להיכרות עדינה עם נושאי _בינה מלאכותית בענן_, תוכלו לשקול לקחת את מסלול הלמידה [התחלה עם בינה מלאכותית ב-Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
|
|
@ -70,7 +70,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
| | קישור לשיעור | PyTorch/Keras/TensorFlow | מעבדה |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [הגדרת הקורס](./lessons/0-course-setup/setup.md) | [הגדרת סביבת הפיתוח שלך](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [הגדרת הקורס](./lessons/0-course-setup/setup.md) | [הגדרת סביבת הפיתוח שלכם](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**מבוא לבינה מלאכותית**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [מבוא והיסטוריה של בינה מלאכותית](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **בינה מלאכותית סמלית** |
|
||||
|
|
@ -96,19 +96,19 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 18 | [טרנספורמרים. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [זיהוי ישויות בשם](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [מעבדה](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [מודלים לשוניים גדולים, תכנות פרומפט ומשימות Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **טכניקות AI נוספות** || |
|
||||
| VI | **טכניקות AI אחרות** || |
|
||||
| 21 | [אלגוריתמים גנטיים](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [מחברת](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [למידת חיזוק עמוקה](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [מעבדה](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [למידה עמוקה מחוזקת](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [מעבדה](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [מערכות מרובות סוכנים](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **אתיקה ב-AI** | | |
|
||||
| 24 | [אתיקה ב-AI ו-AI אחראי](./lessons/7-Ethics/README.md) | [Microsoft Learn: עקרונות AI אחראי](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **תוספות** | | |
|
||||
| 25 | [רשתות מולטי-מודליות, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [רשתות רב-מודליות, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## כל שיעור כולל
|
||||
|
||||
* חומר קריאה מקדים
|
||||
* מחברות Jupyter ניתנות להרצה, שלרוב מותאמות למסגרת (**PyTorch** או **TensorFlow**). המחברת כוללת גם הרבה חומר תיאורטי, ולכן כדי להבין את הנושא יש לעבור לפחות על גרסה אחת של המחברת (PyTorch או TensorFlow).
|
||||
* מחברות Jupyter ניתנות להרצה, שלרוב מותאמות למסגרת (**PyTorch** או **TensorFlow**). המחברות כוללות גם הרבה חומר תיאורטי, ולכן כדי להבין את הנושא יש לעבור לפחות על גרסה אחת של המחברת (PyTorch או TensorFlow).
|
||||
* **מעבדות** זמינות עבור חלק מהנושאים, שמאפשרות לכם ליישם את החומר הנלמד על בעיה מסוימת.
|
||||
* חלק מהקטעים כוללים קישורים למודולים של [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) שמכסים נושאים קשורים.
|
||||
|
||||
|
|
@ -121,32 +121,32 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
- 🌟 **שלום עולם AI** - התוכנית הראשונה שלכם ב-AI (זיהוי תבניות)
|
||||
- 🧠 **רשת עצבית פשוטה** - בניית רשת עצבית מאפס
|
||||
- 🖼️ **מסווג תמונות** - סיווג תמונות עם הערות מפורטות
|
||||
- 💬 **ניתוח רגשות טקסט** - ניתוח טקסט חיובי/שלילי
|
||||
- 💬 **ניתוח רגשות טקסט** - נתחו טקסט חיובי/שלילי
|
||||
|
||||
הדוגמאות הללו נועדו לעזור לכם להבין מושגים בינה מלאכותית לפני שתצללו לתוך תוכנית הלימודים המלאה.
|
||||
הדוגמאות האלו נועדו לעזור לכם להבין מושגים בינה מלאכותית לפני שתצללו לתוך תכנית הלימודים המלאה.
|
||||
|
||||
### 📚 הגדרת תוכנית לימודים מלאה
|
||||
### 📚 הגדרת תכנית לימודים מלאה
|
||||
|
||||
- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לכם להגדיר את סביבת הפיתוח שלכם. - למורים, יצרנו גם [שיעור הגדרה לתוכנית לימודים](./lessons/0-course-setup/for-teachers.md)!
|
||||
- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לכם להגדיר את סביבת הפיתוח שלכם. - למורים, יצרנו גם [שיעור הגדרה לתכנית לימודים](./lessons/0-course-setup/for-teachers.md)!
|
||||
- איך [להריץ את הקוד ב-VSCode או Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
עקבו אחרי השלבים הבאים:
|
||||
|
||||
שכפול הריפו: לחצו על כפתור "Fork" בפינה הימנית העליונה של העמוד הזה.
|
||||
שכפלו את המאגר: לחצו על כפתור "Fork" בפינה הימנית העליונה של הדף הזה.
|
||||
|
||||
שכפול הריפו למחשב: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
שכפלו את המאגר למחשב שלכם: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
אל תשכחו לככב (🌟) את הריפו כדי למצוא אותו בקלות מאוחר יותר.
|
||||
אל תשכחו לככב (🌟) את המאגר הזה כדי למצוא אותו בקלות מאוחר יותר.
|
||||
|
||||
## הכירו לומדים אחרים
|
||||
|
||||
הצטרפו ל-[שרת הדיסקורד הרשמי של AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) כדי להכיר ולהתחבר עם לומדים אחרים שלוקחים את הקורס ולקבל תמיכה.
|
||||
הצטרפו ל-[שרת הדיסקורד הרשמי של AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) כדי להכיר ולהתחבר עם לומדים אחרים שלוקחים את הקורס הזה ולקבל תמיכה.
|
||||
|
||||
אם יש לכם משוב על המוצר או שאלות בזמן הבנייה, בקרו ב-[פורום המפתחים של Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## חידונים
|
||||
## חידונים
|
||||
|
||||
> **הערה על חידונים**: כל החידונים נמצאים בתיקיית Quiz-app ב-etc\quiz-app, או [באינטרנט כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים. אפליקציית החידונים יכולה לרוץ מקומית או להיות מופעלת ב-Azure; עקבו אחרי ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה.
|
||||
> **הערה על חידונים**: כל החידונים נמצאים בתיקיית Quiz-app ב-etc\quiz-app, או [באינטרנט כאן](https://ff-quizzes.netlify.app/). הם מקושרים מתוך השיעורים, ואפליקציית החידון יכולה לרוץ מקומית או להיות מופצת ל-Azure; עקבו אחרי ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה.
|
||||
|
||||
## דרושה עזרה
|
||||
|
||||
|
|
@ -154,15 +154,21 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## תודה מיוחדת
|
||||
|
||||
* **✍️ מחבר ראשי:** [דמיטרי סושניקוב](http://soshnikov.com), דוקטורט
|
||||
* **🔥 עורך:** [ג'ן לופר](https://twitter.com/jenlooper), דוקטורט
|
||||
* **🎨 מאייר סקצ'נוט:** [טומומי אימורה](https://twitter.com/girlie_mac)
|
||||
* **✅ יוצר חידונים:** [לטיפה בלו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 תורמים מרכזיים:** [איבגני פישצ'יק](https://github.com/Pe4enIks)
|
||||
* **✍️ מחבר ראשי:** [דמיטרי סושניקוב](http://soshnikov.com), דוקטור
|
||||
* **🔥 עורך:** [ג'ן לופר](https://twitter.com/jenlooper), דוקטור
|
||||
* **🎨 מאיירת סקצ'נוט:** [טומומי אימורה](https://twitter.com/girlie_mac)
|
||||
* **✅ יוצרת חידונים:** [לאטיפה בלו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 תורמים מרכזיים:** [יבגני פישצ'יק](https://github.com/Pe4enIks)
|
||||
|
||||
## תוכניות לימודים אחרות
|
||||
## תכניות לימודים נוספות
|
||||
|
||||
הצוות שלנו מייצר תוכניות לימודים נוספות! בדקו:
|
||||
הצוות שלנו מייצר תכניות לימודים נוספות! בדקו:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / סוכנים
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -182,7 +188,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### לימוד ליבה
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,11 +204,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## קבלת עזרה
|
||||
|
||||
אם אתם נתקעים או יש לכם שאלות על בניית אפליקציות AI. הצטרפו ללומדים אחרים ולמפתחים מנוסים בדיונים על MCP. זו קהילה תומכת שבה שאלות מתקבלות בברכה וידע משותף בחופשיות.
|
||||
אם אתם נתקעים או יש לכם שאלות על בניית אפליקציות AI, הצטרפו ללומדים אחרים ולמפתחים מנוסים בדיונים על MCP. זו קהילה תומכת שבה שאלות מתקבלות בברכה וידע משותף בחופשיות.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
אם יש לכם משוב על המוצר או שגיאות בזמן הבנייה, בקרו ב:
|
||||
אם יש לכם משוב על המוצר או שגיאות בזמן הבנייה, בקרו:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**כתב ויתור**:
|
||||
מסמך זה תורגם באמצעות שירות תרגום AI [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עשויים להכיל שגיאות או אי דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור סמכותי. עבור מידע קריטי, מומלץ להשתמש בתרגום מקצועי אנושי. איננו נושאים באחריות לאי הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.
|
||||
מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עשויים להכיל שגיאות או אי-דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור הסמכותי. למידע קריטי, מומלץ להשתמש בתרגום מקצועי על ידי בני אדם. איננו נושאים באחריות לאי-הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:27:10+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:10:58+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "hi"
|
||||
}
|
||||
|
|
@ -21,25 +21,25 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# शुरुआती लोगों के लिए कृत्रिम बुद्धिमत्ता - एक पाठ्यक्रम
|
||||
# शुरुआती लोगों के लिए आर्टिफिशियल इंटेलिजेंस - एक पाठ्यक्रम
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| शुरुआती लोगों के लिए AI - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| शुरुआती लोगों के लिए AI - _[@girlie_mac](https://twitter.com/girlie_mac) द्वारा स्केच नोट_ |
|
||||
|
||||
**कृत्रिम बुद्धिमत्ता** (AI) की दुनिया को हमारे 12-सप्ताह, 24-पाठ वाले पाठ्यक्रम के साथ खोजें! इसमें व्यावहारिक पाठ, क्विज़ और लैब्स शामिल हैं। यह पाठ्यक्रम शुरुआती लोगों के लिए अनुकूल है और इसमें TensorFlow और PyTorch जैसे टूल्स के साथ-साथ AI में नैतिकता भी शामिल है।
|
||||
**आर्टिफिशियल इंटेलिजेंस** (AI) की दुनिया को हमारे 12-सप्ताह, 24-पाठ वाले पाठ्यक्रम के साथ खोजें! इसमें व्यावहारिक पाठ, क्विज़ और लैब्स शामिल हैं। यह पाठ्यक्रम शुरुआती लोगों के लिए अनुकूल है और इसमें TensorFlow और PyTorch जैसे टूल्स के साथ-साथ AI में नैतिकता भी शामिल है।
|
||||
|
||||
### 🌐 बहु-भाषा समर्थन
|
||||
### 🌐 बहुभाषी समर्थन
|
||||
|
||||
#### GitHub Action के माध्यम से समर्थित (स्वचालित और हमेशा अद्यतन)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गेरियन](../bg/README.md) | [बर्मी (म्यांमार)](../my/README.md) | [चीनी (सरलीकृत)](../zh/README.md) | [चीनी (पारंपरिक, हांगकांग)](../hk/README.md) | [चीनी (पारंपरिक, मकाऊ)](../mo/README.md) | [चीनी (पारंपरिक, ताइवान)](../tw/README.md) | [क्रोएशियन](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रेंच](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिंदी](./README.md) | [हंगेरियन](../hu/README.md) | [इंडोनेशियन](../id/README.md) | [इतालवी](../it/README.md) | [जापानी](../ja/README.md) | [कन्नड़](../kn/README.md) | [कोरियाई](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मलयालम](../ml/README.md) | [मराठी](../mr/README.md) | [नेपाली](../ne/README.md) | [नाइजीरियन पिजिन](../pcm/README.md) | [नॉर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पुर्तगाली (ब्राज़ील)](../br/README.md) | [पुर्तगाली (पुर्तगाल)](../pt/README.md) | [पंजाबी (गुरमुखी)](../pa/README.md) | [रोमानियन](../ro/README.md) | [रूसी](../ru/README.md) | [सर्बियाई (सिरिलिक)](../sr/README.md) | [स्लोवाक](../sk/README.md) | [स्लोवेनियन](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्वीडिश](../sv/README.md) | [टैगालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [तेलुगु](../te/README.md) | [थाई](../th/README.md) | [तुर्की](../tr/README.md) | [यूक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [वियतनामी](../vi/README.md)
|
||||
[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गारियन](../bg/README.md) | [बर्मी (म्यांमार)](../my/README.md) | [चीनी (सरलीकृत)](../zh/README.md) | [चीनी (पारंपरिक, हांगकांग)](../hk/README.md) | [चीनी (पारंपरिक, मकाऊ)](../mo/README.md) | [चीनी (पारंपरिक, ताइवान)](../tw/README.md) | [क्रोएशियन](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रेंच](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिंदी](./README.md) | [हंगेरियन](../hu/README.md) | [इंडोनेशियन](../id/README.md) | [इतालवी](../it/README.md) | [जापानी](../ja/README.md) | [कन्नड़](../kn/README.md) | [कोरियाई](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मलयालम](../ml/README.md) | [मराठी](../mr/README.md) | [नेपाली](../ne/README.md) | [नाइजीरियाई पिजिन](../pcm/README.md) | [नॉर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पुर्तगाली (ब्राजील)](../br/README.md) | [पुर्तगाली (पुर्तगाल)](../pt/README.md) | [पंजाबी (गुरमुखी)](../pa/README.md) | [रोमानियाई](../ro/README.md) | [रूसी](../ru/README.md) | [सर्बियाई (सिरिलिक)](../sr/README.md) | [स्लोवाक](../sk/README.md) | [स्लोवेनियन](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्वीडिश](../sv/README.md) | [टैगालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [तेलुगु](../te/README.md) | [थाई](../th/README.md) | [तुर्की](../tr/README.md) | [यूक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [वियतनामी](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**यदि आप अतिरिक्त अनुवाद चाहते हैं, तो समर्थित भाषाओं की सूची [यहां](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) दी गई है।**
|
||||
**यदि आप अतिरिक्त अनुवाद चाहते हैं, तो समर्थित भाषाओं की सूची [यहां](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) उपलब्ध है।**
|
||||
|
||||
## समुदाय में शामिल हों
|
||||
## समुदाय से जुड़ें
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## आप क्या सीखेंगे
|
||||
|
|
@ -48,23 +48,23 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
इस पाठ्यक्रम में, आप सीखेंगे:
|
||||
|
||||
* कृत्रिम बुद्धिमत्ता के विभिन्न दृष्टिकोण, जिसमें "पुराने अच्छे" प्रतीकात्मक दृष्टिकोण शामिल हैं, जैसे **ज्ञान प्रतिनिधित्व** और तर्क ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **न्यूरल नेटवर्क्स** और **डीप लर्निंग**, जो आधुनिक AI का मुख्य हिस्सा हैं। हम इन महत्वपूर्ण विषयों के पीछे के विचारों को दो लोकप्रिय फ्रेमवर्क - [TensorFlow](http://Tensorflow.org) और [PyTorch](http://pytorch.org) में कोड के माध्यम से समझाएंगे।
|
||||
* छवियों और पाठ के साथ काम करने के लिए **न्यूरल आर्किटेक्चर**। हम हाल के मॉडलों को कवर करेंगे, लेकिन अत्याधुनिक तकनीकों में थोड़ी कमी हो सकती है।
|
||||
* आर्टिफिशियल इंटेलिजेंस के विभिन्न दृष्टिकोण, जिसमें "पुराने" प्रतीकात्मक दृष्टिकोण शामिल हैं, जैसे **ज्ञान प्रतिनिधित्व** और तर्क ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **न्यूरल नेटवर्क्स** और **डीप लर्निंग**, जो आधुनिक AI के केंद्र में हैं। हम इन महत्वपूर्ण विषयों के पीछे के विचारों को दो सबसे लोकप्रिय फ्रेमवर्क - [TensorFlow](http://Tensorflow.org) और [PyTorch](http://pytorch.org) में कोड का उपयोग करके समझाएंगे।
|
||||
* छवियों और पाठ के साथ काम करने के लिए **न्यूरल आर्किटेक्चर**। हम हाल के मॉडलों को कवर करेंगे लेकिन अत्याधुनिक तकनीकों में थोड़े पीछे हो सकते हैं।
|
||||
* कम लोकप्रिय AI दृष्टिकोण, जैसे **जेनेटिक एल्गोरिदम** और **मल्टी-एजेंट सिस्टम्स**।
|
||||
|
||||
इस पाठ्यक्रम में हम क्या कवर नहीं करेंगे:
|
||||
|
||||
> [इस पाठ्यक्रम के लिए सभी अतिरिक्त संसाधन हमारी Microsoft Learn संग्रह में पाए जा सकते हैं](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [इस पाठ्यक्रम के लिए सभी अतिरिक्त संसाधन हमारे Microsoft Learn संग्रह में पाए जा सकते हैं](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **व्यवसाय में AI** का उपयोग करने के व्यावसायिक मामले। Microsoft Learn पर [व्यवसाय उपयोगकर्ताओं के लिए AI का परिचय](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) या [AI बिजनेस स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), जिसे [INSEAD](https://www.insead.edu/) के सहयोग से विकसित किया गया है, लेने पर विचार करें।
|
||||
* **व्यवसाय में AI** का उपयोग करने के व्यावसायिक मामले। Microsoft Learn पर [व्यवसाय उपयोगकर्ताओं के लिए AI का परिचय](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) या [AI बिजनेस स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), जो [INSEAD](https://www.insead.edu/) के सहयोग से विकसित किया गया है, को लेने पर विचार करें।
|
||||
* **क्लासिक मशीन लर्निंग**, जिसे हमारे [शुरुआती लोगों के लिए मशीन लर्निंग पाठ्यक्रम](http://github.com/Microsoft/ML-for-Beginners) में अच्छी तरह से वर्णित किया गया है।
|
||||
* **[कॉग्निटिव सर्विसेज](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** का उपयोग करके व्यावहारिक AI अनुप्रयोग। इसके लिए, हम Microsoft Learn के मॉड्यूल्स से शुरुआत करने की सलाह देते हैं, जैसे [विज़न](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [नेचुरल लैंग्वेज प्रोसेसिंग](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service के साथ जनरेटिव AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** और अन्य।
|
||||
* विशिष्ट ML **क्लाउड फ्रेमवर्क्स**, जैसे [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), या [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Azure Machine Learning के साथ मशीन लर्निंग समाधान बनाएं और संचालित करें](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) और [Azure Databricks के साथ मशीन लर्निंग समाधान बनाएं और संचालित करें](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) सीखने के रास्ते लेने पर विचार करें।
|
||||
* **संवादी AI** और **चैट बॉट्स**। इसके लिए एक अलग [संवादी AI समाधान बनाएं](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) सीखने का रास्ता है, और आप [इस ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) को अधिक विवरण के लिए देख सकते हैं।
|
||||
* **[कॉग्निटिव सर्विसेज](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** का उपयोग करके व्यावहारिक AI अनुप्रयोग। इसके लिए, हम Microsoft Learn के मॉड्यूल [विज़न](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [नेचुरल लैंग्वेज प्रोसेसिंग](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service के साथ जनरेटिव AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** और अन्य से शुरू करने की सिफारिश करते हैं।
|
||||
* विशिष्ट ML **क्लाउड फ्रेमवर्क**, जैसे [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), या [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Azure Machine Learning के साथ मशीन लर्निंग समाधान बनाएं और संचालित करें](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) और [Azure Databricks के साथ मशीन लर्निंग समाधान बनाएं और संचालित करें](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) लर्निंग पाथ्स का उपयोग करने पर विचार करें।
|
||||
* **संवादी AI** और **चैट बॉट्स**। इसके लिए एक अलग [संवादी AI समाधान बनाएं](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) लर्निंग पाथ है, और आप अधिक विवरण के लिए [इस ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) का भी संदर्भ ले सकते हैं।
|
||||
* **डीप लर्निंग के पीछे गहन गणित**। इसके लिए, हम Ian Goodfellow, Yoshua Bengio और Aaron Courville द्वारा [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) की सिफारिश करेंगे, जो ऑनलाइन भी उपलब्ध है [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)।
|
||||
|
||||
क्लाउड में _AI_ विषयों के लिए एक सरल परिचय के लिए, आप [Azure पर कृत्रिम बुद्धिमत्ता के साथ शुरुआत करें](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) सीखने का रास्ता लेने पर विचार कर सकते हैं।
|
||||
क्लाउड में _AI_ विषयों के लिए एक सरल परिचय के लिए, आप [Azure पर आर्टिफिशियल इंटेलिजेंस के साथ शुरुआत करें](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) लर्निंग पाथ लेने पर विचार कर सकते हैं।
|
||||
|
||||
# सामग्री
|
||||
|
||||
|
|
@ -78,7 +78,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| III | [**न्यूरल नेटवर्क्स का परिचय**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [परसेप्ट्रॉन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [मल्टी-लेयर्ड परसेप्ट्रॉन और अपना फ्रेमवर्क बनाना](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [फ्रेमवर्क्स (PyTorch/TensorFlow) और ओवरफिटिंग का परिचय](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [फ्रेमवर्क्स (PyTorch/TensorFlow) का परिचय और ओवरफिटिंग](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**कंप्यूटर विज़न**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure पर कंप्यूटर विज़न का अन्वेषण करें](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [कंप्यूटर विज़न का परिचय। OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नोटबुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [कन्वोल्यूशनल न्यूरल नेटवर्क्स](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चर](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
|
|
@ -96,13 +96,13 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 18 | [ट्रांसफॉर्मर्स। BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [नेम्ड एंटिटी रिकग्निशन](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [लार्ज लैंग्वेज मॉडल्स, प्रॉम्प्ट प्रोग्रामिंग और फ्यू-शॉट टास्क्स](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **अन्य एआई तकनीकें** || |
|
||||
| VI | **अन्य AI तकनीकें** || |
|
||||
| 21 | [जेनेटिक एल्गोरिदम्स](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नोटबुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [डीप रिइंफोर्समेंट लर्निंग](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [प्रयोगशाला](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [मल्टी-एजेंट सिस्टम्स](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **एआई नैतिकता** | | |
|
||||
| 24 | [एआई नैतिकता और जिम्मेदार एआई](./lessons/7-Ethics/README.md) | [Microsoft Learn: जिम्मेदार एआई सिद्धांत](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **अतिरिक्त सामग्री** | | |
|
||||
| VII | **AI नैतिकता** | | |
|
||||
| 24 | [AI नैतिकता और जिम्मेदार AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: जिम्मेदार AI सिद्धांत](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **अतिरिक्त** | | |
|
||||
| 25 | [मल्टी-मोडल नेटवर्क्स, CLIP और VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नोटबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## प्रत्येक पाठ में शामिल है
|
||||
|
|
@ -110,16 +110,16 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
* पूर्व-पढ़ाई सामग्री
|
||||
* निष्पादन योग्य Jupyter नोटबुक्स, जो अक्सर फ्रेमवर्क (**PyTorch** या **TensorFlow**) के लिए विशिष्ट होती हैं। निष्पादन योग्य नोटबुक में बहुत सैद्धांतिक सामग्री भी होती है, इसलिए विषय को समझने के लिए आपको कम से कम एक संस्करण (PyTorch या TensorFlow) को पढ़ना होगा।
|
||||
* **प्रयोगशालाएं** कुछ विषयों के लिए उपलब्ध हैं, जो आपको सीखी गई सामग्री को किसी विशिष्ट समस्या पर लागू करने का अवसर देती हैं।
|
||||
* कुछ खंडों में [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मॉड्यूल्स के लिंक शामिल हैं जो संबंधित विषयों को कवर करते हैं।
|
||||
* कुछ अनुभागों में [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मॉड्यूल्स के लिंक शामिल हैं जो संबंधित विषयों को कवर करते हैं।
|
||||
|
||||
## शुरुआत करें
|
||||
|
||||
### 🎯 एआई में नए हैं? यहां से शुरू करें!
|
||||
### 🎯 AI में नए हैं? यहां से शुरू करें!
|
||||
|
||||
यदि आप एआई में बिल्कुल नए हैं और त्वरित, व्यावहारिक उदाहरण चाहते हैं, तो हमारे [**शुरुआती-अनुकूल उदाहरण**](./examples/README.md) देखें! इनमें शामिल हैं:
|
||||
यदि आप AI में बिल्कुल नए हैं और त्वरित, व्यावहारिक उदाहरण चाहते हैं, तो हमारे [**शुरुआती-अनुकूल उदाहरण**](./examples/README.md) देखें! इनमें शामिल हैं:
|
||||
|
||||
- 🌟 **हैलो एआई वर्ल्ड** - आपका पहला एआई प्रोग्राम (पैटर्न पहचान)
|
||||
- 🧠 **सरल न्यूरल नेटवर्क** - शुरुआत से एक न्यूरल नेटवर्क बनाएं
|
||||
- 🌟 **हैलो AI वर्ल्ड** - आपका पहला AI प्रोग्राम (पैटर्न पहचान)
|
||||
- 🧠 **सरल न्यूरल नेटवर्क** - शुरू से एक न्यूरल नेटवर्क बनाएं
|
||||
- 🖼️ **इमेज क्लासिफायर** - विस्तृत टिप्पणियों के साथ छवियों को वर्गीकृत करें
|
||||
- 💬 **पाठ भावना** - सकारात्मक/नकारात्मक पाठ का विश्लेषण करें
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### 📚 पूरा पाठ्यक्रम सेटअप
|
||||
|
||||
- हमने आपके विकास पर्यावरण को सेटअप करने में मदद के लिए एक [सेटअप पाठ](./lessons/0-course-setup/setup.md) बनाया है। - शिक्षकों के लिए, हमने आपके लिए भी एक [पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) बनाया है!
|
||||
- हमने आपके विकास पर्यावरण को सेटअप करने में मदद के लिए एक [सेटअप पाठ](./lessons/0-course-setup/setup.md) बनाया है। - शिक्षकों के लिए, हमने आपके लिए भी एक [पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) तैयार किया है!
|
||||
- [VSCode या Codepace में कोड कैसे चलाएं](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
इन चरणों का पालन करें:
|
||||
|
|
@ -142,9 +142,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
हमारे [आधिकारिक AI डिस्कॉर्ड सर्वर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) से जुड़ें, इस कोर्स को लेने वाले अन्य शिक्षार्थियों से मिलने और नेटवर्क बनाने के लिए और सहायता प्राप्त करें।
|
||||
|
||||
यदि आपके पास उत्पाद प्रतिक्रिया या निर्माण के दौरान प्रश्न हैं, तो हमारे [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) पर जाएं।
|
||||
यदि आपके पास उत्पाद प्रतिक्रिया है या निर्माण के दौरान प्रश्न हैं, तो हमारे [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) पर जाएं।
|
||||
|
||||
## क्विज़
|
||||
## क्विज़
|
||||
|
||||
> **क्विज़ के बारे में एक नोट**: सभी क्विज़ Quiz-app फ़ोल्डर में etc\quiz-app में हैं, या [ऑनलाइन यहां](https://ff-quizzes.netlify.app/) उपलब्ध हैं। ये पाठों के भीतर लिंक किए गए हैं। क्विज़ ऐप को स्थानीय रूप से चलाया जा सकता है या Azure पर डिप्लॉय किया जा सकता है; `quiz-app` फ़ोल्डर में दिए गए निर्देशों का पालन करें। इन्हें धीरे-धीरे स्थानीयकृत किया जा रहा है।
|
||||
|
||||
|
|
@ -162,9 +162,15 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## अन्य पाठ्यक्रम
|
||||
|
||||
हमारी टीम अन्य पाठ्यक्रम भी बनाती है! देखें:
|
||||
हमारी टीम अन्य पाठ्यक्रम भी तैयार करती है! देखें:
|
||||
|
||||
### Azure / Edge / MCP / एजेंट्स
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -196,7 +202,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## सहायता प्राप्त करना
|
||||
## सहायता प्राप्त करें
|
||||
|
||||
यदि आप फंस जाते हैं या AI ऐप्स बनाने के बारे में कोई प्रश्न हैं। अन्य शिक्षार्थियों और अनुभवी डेवलपर्स के साथ MCP पर चर्चा में शामिल हों। यह एक सहायक समुदाय है जहां प्रश्नों का स्वागत है और ज्ञान स्वतंत्र रूप से साझा किया जाता है।
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**अस्वीकरण**:
|
||||
यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता के लिए प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में दस्तावेज़ को आधिकारिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम उत्तरदायी नहीं हैं।
|
||||
यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता के लिए प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में दस्तावेज़ को प्रामाणिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम उत्तरदायी नहीं हैं।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:20:10+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:03:46+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "hk"
|
||||
}
|
||||
|
|
@ -21,20 +21,20 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# 人工智能入門課程 - 一個完整的課程
|
||||
# 人工智能入門 - 課程大綱
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| 人工智能入門 - _手繪筆記由 [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| 人工智能入門 - _由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製的速寫筆記_ |
|
||||
|
||||
探索 **人工智能** (AI) 的世界，透過我們為期 12 週、共 24 節課的課程！課程包括實用的教學、測驗和實驗室練習。這是一個適合初學者的課程，涵蓋了像 TensorFlow 和 PyTorch 這些工具，以及 AI 的倫理議題。
|
||||
探索 **人工智能** (AI) 的世界，透過我們的 12 週、24 節課的課程！課程包括實用的教學、測驗和實驗室練習。這是一個適合初學者的課程，涵蓋了 TensorFlow 和 PyTorch 等工具，以及人工智能的倫理問題。
|
||||
|
||||
### 🌐 多語言支援
|
||||
|
||||
#### 透過 GitHub Action 支援 (自動化且保持最新)
|
||||
#### 透過 GitHub Action 支援 (自動化及保持最新)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文 (簡體)](../zh/README.md) | [中文 (繁體, 香港)](./README.md) | [中文 (繁體, 澳門)](../mo/README.md) | [中文 (繁體, 台灣)](../tw/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [卡納達文](../kn/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉雅拉姆文](../ml/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文 (法爾西)](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文 (巴西)](../br/README.md) | [葡萄牙文 (葡萄牙)](../pt/README.md) | [旁遮普文 (古木基文)](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文 (西里爾字母)](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文 (菲律賓語)](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰盧固文](../te/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
|
||||
[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [簡體中文](../zh/README.md) | [繁體中文 (香港)](./README.md) | [繁體中文 (澳門)](../mo/README.md) | [繁體中文 (台灣)](../tw/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [卡納達文](../kn/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉雅拉姆文](../ml/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文 (法爾西)](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文 (巴西)](../br/README.md) | [葡萄牙文 (葡萄牙)](../pt/README.md) | [旁遮普文 (古木基文)](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文 (西里爾文)](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文 (菲律賓)](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰盧固文](../te/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**如果你希望支援更多語言，請參考 [這裡](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
|
@ -44,48 +44,48 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## 你將學到什麼
|
||||
|
||||
**[課程思維導圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[課程心智圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
在這個課程中，你將學到：
|
||||
|
||||
* 不同的人工智能方法，包括「經典」的符號方法，使用 **知識表示** 和推理 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
|
||||
* **神經網絡** 和 **深度學習**，這是現代 AI 的核心。我們將使用兩個最受歡迎的框架 [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的程式碼來說明這些重要主題的概念。
|
||||
* 用於處理圖像和文本的 **神經架構**。我們會涵蓋一些近期的模型，但可能不包括最前沿的技術。
|
||||
* 不太常見的 AI 方法，例如 **遺傳算法** 和 **多代理系統**。
|
||||
* 不同的人工智能方法，包括「經典」的符號方法，透過 **知識表示** 和推理 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
|
||||
* **神經網絡** 和 **深度學習**，這些是現代人工智能的核心。我們會使用兩個最流行的框架 - [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的程式碼來解釋這些重要主題的概念。
|
||||
* **神經架構** 用於處理影像和文字。我們會涵蓋最近的模型，但可能不包括最新的技術。
|
||||
* 不太流行的人工智能方法，例如 **遺傳算法** 和 **多代理系統**。
|
||||
|
||||
我們不會在這個課程中涵蓋：
|
||||
|
||||
> [在 Microsoft Learn 的課程集合中找到所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [在 Microsoft Learn 集合中找到所有額外的課程資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI 在商業中的應用案例**。建議參加 [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 或 [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，這是與 [INSEAD](https://www.insead.edu/) 合作開發的學習路徑。
|
||||
* **經典機器學習**，這在我們的 [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) 中有詳細描述。
|
||||
* 使用 **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 構建的實際 AI 應用。建議從 Microsoft Learn 的模組開始，例如 [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的 ML **雲框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議參考 [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑。
|
||||
* **對話式 AI** 和 **聊天機器人**。有一個單獨的 [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，你也可以參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 獲取更多細節。
|
||||
* **深度學習的數學基礎**。建議參考 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 所著的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可以在線上閱讀 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
* **人工智能在商業中的應用案例**。建議參加 [商業用戶的人工智能入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，或 [AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，由 [INSEAD](https://www.insead.edu/) 合作開發。
|
||||
* **經典機器學習**，這在我們的 [機器學習入門課程](http://github.com/Microsoft/ML-for-Beginners) 中有詳細描述。
|
||||
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 建立的實際人工智能應用。建議從 Microsoft Learn 的模組開始，例如 [影像](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI Service 的生成式人工智能](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的機器學習 **雲框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議參加 [使用 Azure Machine Learning 建立和操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 建立和操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
* **對話式人工智能** 和 **聊天機器人**。有一個單獨的 [建立對話式人工智能解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，你也可以參考 [這篇博客文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 了解更多細節。
|
||||
* **深度學習的數學基礎**。建議參考 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的 [深度學習](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可以在線上閱讀 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
|
||||
如果想要輕鬆入門 _雲端 AI_ 主題，可以考慮參加 [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
如果你想要輕鬆入門 _雲端人工智能_ 主題，可以考慮參加 [在 Azure 上開始人工智能](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
|
||||
# 課程內容
|
||||
|
||||
| | 課程連結 | PyTorch/Keras/TensorFlow | 實驗室 |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [課程設置](./lessons/0-course-setup/setup.md) | [設置你的開發環境](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI 簡介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI 的簡介與歷史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **符號 AI** |
|
||||
| I | [**人工智能簡介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [人工智能的簡介與歷史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **符號人工智能** |
|
||||
| 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**神經網絡簡介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [多層感知器及建立自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介紹 (PyTorch/TensorFlow) 及過度擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 04 | [多層感知器及建立我們自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介紹 (PyTorch/TensorFlow) 及過擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**電腦視覺**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [探索 Microsoft Azure 上的電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [電腦視覺入門. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [卷積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [預訓練網絡及遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [自編碼器及變分自編碼器 (VAEs)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [生成對抗網絡 (GANs) 及藝術風格遷移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [物件偵測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 10 | [生成對抗網絡 (GANs) 及藝術風格轉移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [物件檢測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [語義分割. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**自然語言處理**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [探索 Microsoft Azure 上的自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [文本表示. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
|
|
@ -93,7 +93,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 15 | [語言建模. 訓練自己的嵌入](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [實驗室](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [循環神經網絡 (RNN)](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [生成型循環網絡](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [實驗室](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformer. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 18 | [變壓器. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [命名實體識別 (NER)](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [實驗室](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [大型語言模型、提示編程及少樣本任務](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **其他 AI 技術** || |
|
||||
|
|
@ -103,22 +103,22 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| VII | **AI 倫理** | | |
|
||||
| 24 | [AI 倫理及負責任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任的 AI 原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **額外內容** | | |
|
||||
| 25 | [多模態網絡、CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [多模態網絡, CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## 每個課程包含
|
||||
|
||||
* 預讀材料
|
||||
* 可執行的 Jupyter 筆記本，通常針對框架 (**PyTorch** 或 **TensorFlow**) 而設計。可執行的筆記本也包含大量理論材料，因此要理解主題，至少需要閱讀一個版本的筆記本（PyTorch 或 TensorFlow）。
|
||||
* **實驗室** 可用於某些主題，讓你有機會將所學的材料應用於特定問題。
|
||||
* 部分章節包含連結到 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組，涵蓋相關主題。
|
||||
* 可執行的 Jupyter 筆記本，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行的筆記本還包含大量理論材料，因此要理解主題，您需要至少閱讀一個版本的筆記本（PyTorch 或 TensorFlow）。
|
||||
* **實驗室**，適用於某些主題，讓您有機會將所學的材料應用於特定問題。
|
||||
* 某些部分包含指向 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結，涵蓋相關主題。
|
||||
|
||||
## 開始學習
|
||||
|
||||
### 🎯 AI 初學者？由此開始！
|
||||
### 🎯 AI 新手？從這裡開始！
|
||||
|
||||
如果你對 AI 完全陌生並希望快速上手，請查看我們的 [**初學者友好示例**](./examples/README.md)! 包括：
|
||||
如果您對 AI 完全陌生，並希望快速上手，請查看我們的 [**初學者友好範例**](./examples/README.md)！包括：
|
||||
|
||||
- 🌟 **Hello AI World** - 你的第一個 AI 程式（模式識別）
|
||||
- 🌟 **Hello AI World** - 您的第一個 AI 程式（模式識別）
|
||||
- 🧠 **簡單神經網絡** - 從零開始建立神經網絡
|
||||
- 🖼️ **圖像分類器** - 帶有詳細註解的圖像分類器
|
||||
- 💬 **文字情感分析** - 分析正面/負面的文字
|
||||
|
|
@ -127,7 +127,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### 📚 完整課程設置
|
||||
|
||||
- 我們已經製作了一個[設置課程](./lessons/0-course-setup/setup.md)，幫助你設置開發環境。- 對於教育工作者，我們也準備了一個[課程設置教學](./lessons/0-course-setup/for-teachers.md)！
|
||||
- 我們已經製作了一個[設置課程](./lessons/0-course-setup/setup.md)，幫助你設置開發環境。 - 對於教育工作者，我們也準備了一個[課程設置課程](./lessons/0-course-setup/for-teachers.md)！
|
||||
- 如何[在 VSCode 或 Codepace 中運行代碼](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
請按照以下步驟操作：
|
||||
|
|
@ -136,17 +136,17 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
克隆此倉庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
別忘了給這個倉庫加星標 (🌟)，方便日後查找。
|
||||
別忘了給這個倉庫加星標 (🌟)，方便日後找到。
|
||||
|
||||
## 與其他學習者交流
|
||||
|
||||
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與其他學習者交流和建立聯繫，並獲得支持。
|
||||
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與其他學習者交流並獲得支持。
|
||||
|
||||
如果在構建過程中有產品反饋或問題，請訪問我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)。
|
||||
|
||||
## 測驗
|
||||
|
||||
> **關於測驗的說明**：所有測驗都包含在 etc\quiz-app 的 Quiz-app 文件夾中，或者可以[在線訪問](https://ff-quizzes.netlify.app/)。它們在課程中有鏈接，測驗應用可以在本地運行或部署到 Azure；請按照 `quiz-app` 文件夾中的指示操作。測驗正在逐步本地化。
|
||||
> **關於測驗的說明**：所有測驗都包含在 etc\quiz-app 的 Quiz-app 文件夾中，或者可以[在線訪問](https://ff-quizzes.netlify.app/)。它們在課程中有鏈接，測驗應用可以在本地運行或部署到 Azure，請按照 `quiz-app` 文件夾中的指示操作。測驗正在逐步本地化。
|
||||
|
||||
## 尋求幫助
|
||||
|
||||
|
|
@ -162,39 +162,45 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## 其他課程
|
||||
|
||||
我們的團隊還製作了其他課程！快來看看：
|
||||
我們的團隊還製作了其他課程！查看以下內容：
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 生成式 AI 系列
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 核心學習
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot 系列
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 獲取幫助
|
||||
|
||||
|
|
@ -202,7 +208,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
如果你在構建過程中有產品反饋或遇到錯誤，請訪問：
|
||||
如果你在構建過程中有產品反饋或發現錯誤，請訪問：
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**免責聲明**：
|
||||
此文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。原始語言的文件應被視為權威來源。對於重要資訊，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
|
||||
此文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件作為權威來源。如涉及關鍵資訊，建議尋求專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋概不負責。
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:19:27+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:57:51+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "hr"
|
||||
}
|
||||
|
|
@ -11,10 +11,10 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
|
@ -27,17 +27,17 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI za početnike - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Istražite svijet **Umjetne inteligencije** (AI) uz naš 12-tjedni kurikulum od 24 lekcije! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Kurikulum je prilagođen početnicima i pokriva alate poput TensorFlowa i PyTorcha, kao i etiku u AI-u.
|
||||
Istražite svijet **umjetne inteligencije** (AI) uz naš 12-tjedni kurikulum s 24 lekcije! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Kurikulum je prilagođen početnicima i pokriva alate poput TensorFlowa i PyTorcha, kao i etiku u AI-u.
|
||||
|
||||
### 🌐 Podrška za više jezika
|
||||
|
||||
#### Podržano putem GitHub Action (Automatski i uvijek ažurirano)
|
||||
#### Podržano putem GitHub Action (Automatizirano i uvijek ažurirano)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arapski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bugarski](../bg/README.md) | [Burmanski (Mjanmar)](../my/README.md) | [Kineski (Pojednostavljeni)](../zh/README.md) | [Kineski (Tradicionalni, Hong Kong)](../hk/README.md) | [Kineski (Tradicionalni, Makao)](../mo/README.md) | [Kineski (Tradicionalni, Tajvan)](../tw/README.md) | [Hrvatski](./README.md) | [Češki](../cs/README.md) | [Danski](../da/README.md) | [Nizozemski](../nl/README.md) | [Estonski](../et/README.md) | [Finski](../fi/README.md) | [Francuski](../fr/README.md) | [Njemački](../de/README.md) | [Grčki](../el/README.md) | [Hebrejski](../he/README.md) | [Hindski](../hi/README.md) | [Mađarski](../hu/README.md) | [Indonezijski](../id/README.md) | [Talijanski](../it/README.md) | [Japanski](../ja/README.md) | [Kanada](../kn/README.md) | [Korejski](../ko/README.md) | [Litvanski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalamski](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigerijski pidgin](../pcm/README.md) | [Norveški](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljski](../pl/README.md) | [Portugalski (Brazil)](../br/README.md) | [Portugalski (Portugal)](../pt/README.md) | [Pandžapski (Gurmukhi)](../pa/README.md) | [Rumunjski](../ro/README.md) | [Ruski](../ru/README.md) | [Srpski (Ćirilica)](../sr/README.md) | [Slovački](../sk/README.md) | [Slovenski](../sl/README.md) | [Španjolski](../es/README.md) | [Svahili](../sw/README.md) | [Švedski](../sv/README.md) | [Tagalog (Filipinski)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajlandski](../th/README.md) | [Turski](../tr/README.md) | [Ukrajinski](../uk/README.md) | [Urdu](../ur/README.md) | [Vijetnamski](../vi/README.md)
|
||||
[Arapski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bugarski](../bg/README.md) | [Burmanski (Mjanmar)](../my/README.md) | [Kineski (pojednostavljeni)](../zh/README.md) | [Kineski (tradicionalni, Hong Kong)](../hk/README.md) | [Kineski (tradicionalni, Makao)](../mo/README.md) | [Kineski (tradicionalni, Tajvan)](../tw/README.md) | [Hrvatski](./README.md) | [Češki](../cs/README.md) | [Danski](../da/README.md) | [Nizozemski](../nl/README.md) | [Estonski](../et/README.md) | [Finski](../fi/README.md) | [Francuski](../fr/README.md) | [Njemački](../de/README.md) | [Grčki](../el/README.md) | [Hebrejski](../he/README.md) | [Hindski](../hi/README.md) | [Mađarski](../hu/README.md) | [Indonezijski](../id/README.md) | [Talijanski](../it/README.md) | [Japanski](../ja/README.md) | [Kanada](../kn/README.md) | [Korejski](../ko/README.md) | [Litvanski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalamski](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveški](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljski](../pl/README.md) | [Portugalski (Brazil)](../br/README.md) | [Portugalski (Portugal)](../pt/README.md) | [Pandžapski (Gurmukhi)](../pa/README.md) | [Rumunjski](../ro/README.md) | [Ruski](../ru/README.md) | [Srpski (ćirilica)](../sr/README.md) | [Slovački](../sk/README.md) | [Slovenski](../sl/README.md) | [Španjolski](../es/README.md) | [Svahili](../sw/README.md) | [Švedski](../sv/README.md) | [Tagalog (Filipinski)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajlandski](../th/README.md) | [Turski](../tr/README.md) | [Ukrajinski](../uk/README.md) | [Urdu](../ur/README.md) | [Vijetnamski](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ako želite dodati dodatne jezike, podržani jezici navedeni su [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Ako želite dodati dodatne prijevode, podržani jezici navedeni su [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Pridružite se zajednici
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,69 +48,69 @@ Istražite svijet **Umjetne inteligencije** (AI) uz naš 12-tjedni kurikulum od
|
|||
|
||||
U ovom kurikulumu naučit ćete:
|
||||
|
||||
* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup s **Predstavljanjem znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuronske mreže** i **Duboko učenje**, koji su srž moderne AI. Ilustrirat ćemo koncepte iza ovih važnih tema koristeći kod u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Neuronske arhitekture** za rad s slikama i tekstom. Pokrit ćemo nedavne modele, ali možda nećemo obuhvatiti najnovije dostignuće.
|
||||
* Manje popularne AI pristupe, poput **Genetskih algoritama** i **Sustava s više agenata**.
|
||||
* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup s **predstavljanjem znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuronske mreže** i **duboko učenje**, koji su u središtu moderne AI. Ilustrirat ćemo koncepte iza ovih važnih tema koristeći kod u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nedavne modele, ali možda nećemo obuhvatiti najnovije stanje tehnologije.
|
||||
* Manje popularne AI pristupe, poput **genetskih algoritama** i **sustava s više agenata**.
|
||||
|
||||
Što nećemo pokriti u ovom kurikulumu:
|
||||
|
||||
> [Pronađite sve dodatne resurse za ovaj tečaj u našoj Microsoft Learn kolekciji](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Poslovne slučajeve korištenja **AI u poslovanju**. Razmislite o pohađanju [Uvod u AI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/).
|
||||
* **Klasično strojno učenje**, koje je dobro opisano u našem [Kurikulumu za početnike u strojnom učenju](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktične AI aplikacije izgrađene koristeći **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za ovo preporučujemo da započnete s modulima Microsoft Learn za [viziju](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativni AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
|
||||
* Specifične ML **Cloud Frameworks**, poput [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o korištenju [Izgradnja i upravljanje rješenjima za strojno učenje s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Izgradnja i upravljanje rješenjima za strojno učenje s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn.
|
||||
* **Konverzacijski AI** i **Chat Botovi**. Postoji zaseban [Izradite rješenja za konverzacijski AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, a možete se također referirati na [ovaj blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za više detalja.
|
||||
* **Duboka matematika** iza dubokog učenja. Za ovo bismo preporučili [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koja je također dostupna online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Poslovne slučajeve korištenja **AI u poslovanju**. Razmotrite pohađanje [Uvod u AI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/).
|
||||
* **Klasično strojno učenje**, koje je dobro opisano u našem [Kurikulumu za strojno učenje za početnike](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktične AI aplikacije izgrađene pomoću **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za ovo preporučujemo da započnete s modulima Microsoft Learn za [viziju](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativni AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
|
||||
* Specifične ML **Cloud Frameworks**, poput [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmotrite korištenje [Izgradnja i upravljanje rješenjima za strojno učenje s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Izgradnja i upravljanje rješenjima za strojno učenje s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) staza za učenje.
|
||||
* **Konverzacijski AI** i **Chat Botovi**. Postoji zasebna [Kreiranje rješenja za konverzacijski AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) staza za učenje, a možete se također obratiti [ovom blog postu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za više detalja.
|
||||
* **Duboka matematika** iza dubokog učenja. Za ovo bismo preporučili [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koja je također dostupna online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Za blagi uvod u _AI u oblaku_ teme, razmislite o pohađanju [Započnite s umjetnom inteligencijom na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn.
|
||||
Za blagi uvod u teme _AI u oblaku_ možete razmotriti pohađanje [Uvod u umjetnu inteligenciju na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) staze za učenje.
|
||||
|
||||
# Sadržaj
|
||||
|
||||
| | Veza na lekciju | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Poveznica na lekciju | PyTorch/Keras/TensorFlow | Laboratorij |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Postavljanje tečaja](./lessons/0-course-setup/setup.md) | [Postavite svoje razvojno okruženje](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Uvod u AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Uvod i povijest AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| 01 | [Uvod i povijest AI-a](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolički AI** |
|
||||
| 02 | [Predstavljanje znanja i ekspertni sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptualni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Predstavljanje znanja i stručni sustavi](./lessons/2-Symbolic/README.md) | [Stručni sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptualni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Uvod u neuronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Višeslojni perceptron i stvaranje vlastitog okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Uvod u okvire (PyTorch/TensorFlow) i prenaučavanje](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Računalni vid**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Istražite računalni vid na Microsoft Azureu](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| IV | [**Računalni vid**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Istražite računalni vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Uvod u računalni vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Bilježnica](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture CNN-a](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Predtrenirane mreže i prijenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkoderi i VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 08 | [Predtrenirane mreže i prijenos učenja](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkoderi i VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativne suparničke mreže i prijenos umjetničkog stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcija objekata](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantička segmentacija. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Obrada prirodnog jezika**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Istražite obradu prirodnog jezika na Microsoft Azureu](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Obrada prirodnog jezika**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Istražite obradu prirodnog jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacija teksta. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantičke ugrađene riječi. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Jezično modeliranje. Treniranje vlastitih ugrađenih riječi](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentne neuronske mreže](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generativne rekurentne mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 14 | [Semantičke reprezentacije riječi. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modeliranje jezika. Treniranje vlastitih reprezentacija](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurzivne neuronske mreže](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generativne rekurzivne mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformeri. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Prepoznavanje imenovanih entiteta](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Veliki jezični modeli, programski upiti i zadaci s malo primjera](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Veliki jezični modeli, programiranje upita i zadaci s malo primjera](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Ostale AI tehnike** || |
|
||||
| 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Bilježnica](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Duboko pojačano učenje](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sustavi s više agenata](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI etika** | | |
|
||||
| 24 | [AI etika i odgovorna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Načela odgovorne AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| VII | **Etika AI-a** | | |
|
||||
| 24 | [Etika AI-a i odgovorni AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovornog AI-a](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodaci** | | |
|
||||
| 25 | [Višestruki modalni mrežni sustavi, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Multimodalne mreže, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Svaka lekcija sadrži
|
||||
|
||||
* Materijale za prethodno čitanje
|
||||
* Izvršne Jupyter bilježnice, koje su često specifične za određeni okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži mnogo teorijskog materijala, pa da biste razumjeli temu, trebate proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
|
||||
* **Laboratoriji** dostupni za neke teme, koji vam pružaju priliku da primijenite naučeno na specifičan problem.
|
||||
* Neki odjeljci sadrže poveznice na [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) module koji pokrivaju srodne teme.
|
||||
* Materijale za predčitanje
|
||||
* Izvršne Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži puno teorijskog materijala, pa da biste razumjeli temu, trebate proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
|
||||
* **Laboratoriji** dostupni za neke teme, koji vam pružaju priliku da primijenite naučeno na određeni problem.
|
||||
* Neki odjeljci sadrže poveznice na module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) koji pokrivaju povezane teme.
|
||||
|
||||
## Početak
|
||||
|
||||
|
|
@ -136,9 +136,9 @@ Forkajte repozitorij: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice
|
|||
|
||||
Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ne zaboravite označiti (🌟) ovaj repo kako biste ga kasnije lakše pronašli.
|
||||
Ne zaboravite označiti (🌟) ovaj repozitorij kako biste ga kasnije lakše pronašli.
|
||||
|
||||
## Upoznajte Ostale Polaznike
|
||||
## Upoznajte Druge Polaznike
|
||||
|
||||
Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kako biste upoznali i povezali se s drugim polaznicima ovog tečaja te dobili podršku.
|
||||
|
||||
|
|
@ -146,24 +146,30 @@ Ako imate povratne informacije o proizvodu ili pitanja tijekom izrade, posjetite
|
|||
|
||||
## Kvizovi
|
||||
|
||||
> **Napomena o kvizovima**: Svi kvizovi se nalaze u mapi Quiz-app u etc\quiz-app, ili [Online Ovdje](https://ff-quizzes.netlify.app/) Povezani su unutar lekcija, aplikacija za kviz može se pokrenuti lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
|
||||
> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi Quiz-app u etc\quiz-app, ili [Online Ovdje](https://ff-quizzes.netlify.app/). Povezani su unutar lekcija, a aplikacija za kviz može se pokrenuti lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
|
||||
|
||||
## Potrebna Pomoć
|
||||
|
||||
Imate li prijedloge ili ste pronašli pravopisne ili kodne greške? Otvorite problem ili kreirajte pull request.
|
||||
Imate li prijedloge ili ste pronašli pravopisne ili programske pogreške? Otvorite problem ili kreirajte pull request.
|
||||
|
||||
## Posebne Zahvale
|
||||
|
||||
* **✍️ Glavni Autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Urednica:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator Sketchnote-a:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Kreator Kviza:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **✅ Kreator Kvizova:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Glavni Suradnici:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Ostali Kurikulumi
|
||||
|
||||
Naš tim proizvodi i druge kurikulume! Pogledajte:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -192,23 +198,23 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
|
|||
---
|
||||
|
||||
### Copilot Serijal
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Dobivanje Pomoći
|
||||
|
||||
Ako zapnete ili imate pitanja o izradi AI aplikacija. Pridružite se ostalim polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica gdje su pitanja dobrodošla, a znanje se slobodno dijeli.
|
||||
Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se drugim polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica gdje su pitanja dobrodošla, a znanje se slobodno dijeli.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ako imate povratne informacije o proizvodu ili greške tijekom izrade, posjetite:
|
||||
Ako imate povratne informacije o proizvodu ili naiđete na pogreške tijekom izrade, posjetite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Izjava o odricanju odgovornosti**:
|
||||
Ovaj dokument je preveden pomoću AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za ključne informacije preporučuje se profesionalni prijevod od strane čovjeka. Ne preuzimamo odgovornost za nesporazume ili pogrešna tumačenja koja proizlaze iz korištenja ovog prijevoda.
|
||||
**Odricanje od odgovornosti**:
|
||||
Ovaj dokument je preveden koristeći AI uslugu za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati mjerodavnim izvorom. Za ključne informacije preporučuje se profesionalni prijevod od strane čovjeka. Ne preuzimamo odgovornost za bilo kakve nesporazume ili pogrešne interpretacije proizašle iz korištenja ovog prijevoda.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,25 +1,25 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:08:13+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:48:04+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "hu"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Mesterséges Intelligencia Kezdőknek - Tananyag
|
||||
|
||||
|
|
@ -39,36 +39,36 @@ Fedezd fel a **Mesterséges Intelligencia** (MI) világát 12 hetes, 24 leckéb
|
|||
|
||||
**Ha további fordításokat szeretnél, a támogatott nyelvek listája [itt](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) található.**
|
||||
|
||||
## Csatlakozz a közösséghez
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Csatlakozz a közösséghez
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Amit megtanulsz
|
||||
|
||||
**[A kurzus gondolattérképe](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Ebben a tananyagban megtanulod:
|
||||
Ebben a tananyagban megtanulhatod:
|
||||
|
||||
* A mesterséges intelligencia különböző megközelítéseit, beleértve a "régi jó" szimbolikus megközelítést **Tudásreprezentációval** és következtetéssel ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neurális hálózatokat** és **mélytanulást**, amelyek a modern MI alapját képezik. Ezeket a fontos témákat két népszerű keretrendszer - [TensorFlow](http://Tensorflow.org) és [PyTorch](http://pytorch.org) - kódjával illusztráljuk.
|
||||
* **Neurális architektúrákat** képek és szövegek feldolgozásához. Bár a legújabb modelleket tárgyaljuk, előfordulhat, hogy nem teljesen naprakészek.
|
||||
* **Neurális architektúrákat** képek és szövegek feldolgozására. Bár a legújabb modelleket tárgyaljuk, előfordulhat, hogy nem teljesen naprakészek.
|
||||
* Kevésbé népszerű MI megközelítéseket, mint például **Genetikus algoritmusok** és **Multi-Agent rendszerek**.
|
||||
|
||||
Amit nem tárgyalunk ebben a tananyagban:
|
||||
Amit nem fogunk tárgyalni ebben a tananyagban:
|
||||
|
||||
> [Az összes további forrást ehhez a kurzushoz megtalálod a Microsoft Learn gyűjteményünkben](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Az összes további forrást megtalálod a Microsoft Learn gyűjteményünkben](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **Üzleti esetek** az MI üzleti alkalmazásairól. Javasoljuk, hogy vegyél részt a [Bevezetés az MI-be üzleti felhasználók számára](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonalon a Microsoft Learn-en, vagy az [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programon, amelyet az [INSEAD](https://www.insead.edu/) közreműködésével fejlesztettek ki.
|
||||
* **Üzleti MI alkalmazások**. Javasoljuk, hogy vegyél részt a [Bevezetés az MI-be üzleti felhasználók számára](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonalon a Microsoft Learn-en, vagy az [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programon, amelyet az [INSEAD](https://www.insead.edu/) közreműködésével fejlesztettek ki.
|
||||
* **Klasszikus gépi tanulás**, amelyet részletesen bemutatunk a [Gépi tanulás kezdőknek tananyagunkban](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Gyakorlati MI alkalmazások, amelyek **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** segítségével készültek. Ehhez javasoljuk, hogy kezdj a Microsoft Learn moduljaival, például [látás](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [természetes nyelvfeldolgozás](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatív MI az Azure OpenAI szolgáltatással](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** és mások.
|
||||
* Gyakorlati MI alkalmazások, amelyek **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** segítségével készültek. Ehhez javasoljuk, hogy kezdj a Microsoft Learn modulokkal, például [látás](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [természetes nyelvfeldolgozás](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatív MI az Azure OpenAI szolgáltatással](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** és mások.
|
||||
* Specifikus ML **felhőkeretrendszerek**, mint például [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), vagy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Javasoljuk, hogy vegyél részt a [Gépi tanulási megoldások építése és működtetése az Azure Machine Learning segítségével](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) és [Gépi tanulási megoldások építése és működtetése az Azure Databricks segítségével](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonalakon.
|
||||
* **Beszélgetési MI** és **Chatbotok**. Van egy külön [Beszélgetési MI megoldások létrehozása](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonal, és további részletekért [ezt a blogbejegyzést](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) is megnézheted.
|
||||
* **Beszélgetési MI** és **Chatbotok**. Külön tanulási útvonal van a [Beszélgetési MI megoldások létrehozása](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) témában, és további részletekért [ezt a blogbejegyzést](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) is ajánljuk.
|
||||
* **Mély matematikai alapok** a mélytanulás mögött. Ehhez ajánljuk Ian Goodfellow, Yoshua Bengio és Aaron Courville [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) című könyvét, amely online is elérhető: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Egy könnyed bevezetéshez az _MI a felhőben_ témákhoz javasoljuk, hogy vegyél részt a [Bevezetés a mesterséges intelligenciába az Azure-on](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonalon.
|
||||
|
||||
# Tartalom
|
||||
|
||||
| | Lecke link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Lecke Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurzus beállítása](./lessons/0-course-setup/setup.md) | [Fejlesztési környezet beállítása](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Bevezetés az MI-be**](./lessons/1-Intro/README.md) | | |
|
||||
|
|
@ -77,14 +77,14 @@ Egy könnyed bevezetéshez az _MI a felhőben_ témákhoz javasoljuk, hogy vegy
|
|||
| 02 | [Tudásreprezentáció és szakértői rendszerek](./lessons/2-Symbolic/README.md) | [Szakértői rendszerek](./lessons/2-Symbolic/Animals.ipynb) / [Ontológia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Fogalomgrafikon](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Bevezetés a neurális hálózatokba**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Jegyzetfüzet](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Többrétegű perceptron és saját keretrendszer létrehozása](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Jegyzetfüzet](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Többrétegű perceptron és saját keretrendszer készítése](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Jegyzetfüzet](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Bevezetés keretrendszerekbe (PyTorch/TensorFlow) és túltanulás](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Számítógépes látás**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Fedezd fel a számítógépes látást a Microsoft Azure-on](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bevezetés a számítógépes látásba. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Jegyzetfüzet](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolúciós neurális hálók](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN architektúrák](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Előre betanított hálók és átvitel tanulás](./lessons/4-ComputerVision/08-TransferLearning/README.md) és [Tanítási trükkök](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Előre betanított hálók és transzfer tanulás](./lessons/4-ComputerVision/08-TransferLearning/README.md) és [Tanítási trükkök](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkóderek és VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatív ellenséges hálók és művészi stílus átvitel](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Generatív ellenséges hálók és művészi stílusátvitel](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektumfelismerés](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Szemantikus szegmentáció. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Természetes nyelvfeldolgozás**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Fedezd fel a természetes nyelvfeldolgozást a Microsoft Azure-on](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -105,52 +105,52 @@ Egy könnyed bevezetéshez az _MI a felhőben_ témákhoz javasoljuk, hogy vegy
|
|||
| IX | **Extrák** | | |
|
||||
| 25 | [Multi-modális hálók, CLIP és VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Jegyzetfüzet](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Minden lecke tartalmaz
|
||||
## Minden lecke tartalmazza
|
||||
|
||||
* Előzetes olvasnivalót
|
||||
* Futtatható Jupyter jegyzetfüzeteket, amelyek gyakran keretrendszer-specifikusak (**PyTorch** vagy **TensorFlow**). A futtatható jegyzetfüzetek sok elméleti anyagot is tartalmaznak, így a téma megértéséhez legalább egy verziót (PyTorch vagy TensorFlow) át kell nézni.
|
||||
* Előzetes olvasmányokat
|
||||
* Futtatható Jupyter jegyzetfüzeteket, amelyek gyakran keretrendszer-specifikusak (**PyTorch** vagy **TensorFlow**). A futtatható jegyzetfüzetek sok elméleti anyagot is tartalmaznak, így a téma megértéséhez legalább az egyik verziót (PyTorch vagy TensorFlow) át kell nézned.
|
||||
* **Laborok** bizonyos témákhoz, amelyek lehetőséget adnak arra, hogy az elsajátított anyagot egy konkrét problémára alkalmazd.
|
||||
* Néhány szekció tartalmaz linkeket [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulokhoz, amelyek kapcsolódó témákat fednek le.
|
||||
|
||||
## Kezdés
|
||||
|
||||
### 🎯 Új az AI világában? Kezdd itt!
|
||||
### 🎯 Új vagy az AI területén? Kezdd itt!
|
||||
|
||||
Ha teljesen új vagy az AI területén, és gyors, gyakorlati példákat szeretnél, nézd meg [**Kezdőbarát példáinkat**](./examples/README.md)! Ezek tartalmazzák:
|
||||
Ha teljesen új vagy az AI világában, és gyors, gyakorlati példákat szeretnél, nézd meg [**Kezdőbarát példáinkat**](./examples/README.md)! Ezek tartalmazzák:
|
||||
|
||||
- 🌟 **Hello AI Világ** - Az első AI programod (mintafelismerés)
|
||||
- 🧠 **Egyszerű neurális háló** - Építs egy neurális hálót a semmiből
|
||||
- 🖼️ **Kép osztályozó** - Képek osztályozása részletes megjegyzésekkel
|
||||
- 💬 **Szövegérzelem** - Pozitív/negatív szöveg elemzése
|
||||
- 🧠 **Egyszerű neurális háló** - Építs egy neurális hálót az alapoktól
|
||||
- 🖼️ **Képosztályozó** - Képek osztályozása részletes megjegyzésekkel
|
||||
- 💬 **Szövegérzelem** - Elemezze a pozitív/negatív szöveget
|
||||
|
||||
Ezek a példák segítenek megérteni az AI fogalmakat, mielőtt belevágnál a teljes tananyagba.
|
||||
Ezek a példák segítenek megérteni az AI fogalmakat, mielőtt belevágna a teljes tananyagba.
|
||||
|
||||
### 📚 Teljes tananyag beállítása
|
||||
|
||||
- Készítettünk egy [beállítási leckét](./lessons/0-course-setup/setup.md), amely segít a fejlesztési környezeted beállításában. - Oktatók számára létrehoztunk egy [tananyag beállítási leckét](./lessons/0-course-setup/for-teachers.md) is!
|
||||
- Hogyan [futtasd a kódot VSCode-ban vagy Codepace-ben](./lessons/0-course-setup/how-to-run.md)
|
||||
- Készítettünk egy [beállítási leckét](./lessons/0-course-setup/setup.md), amely segít a fejlesztési környezet beállításában. - Oktatók számára létrehoztunk egy [tananyag beállítási leckét](./lessons/0-course-setup/for-teachers.md) is!
|
||||
- Hogyan [futtassa a kódot VSCode-ban vagy Codepace-ben](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Kövesd ezeket a lépéseket:
|
||||
Kövesse ezeket a lépéseket:
|
||||
|
||||
Forkold a repót: Kattints az oldal jobb felső sarkában található "Fork" gombra.
|
||||
Forkolja a repót: Kattintson az oldal jobb felső sarkában található "Fork" gombra.
|
||||
|
||||
Klónozd a repót: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Klónozza a repót: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ne felejtsd el csillagozni (🌟) ezt a repót, hogy később könnyebben megtaláld.
|
||||
Ne felejtse el csillagozni (🌟) ezt a repót, hogy később könnyebben megtalálja.
|
||||
|
||||
## Találkozz más tanulókkal
|
||||
## Találkozzon más tanulókkal
|
||||
|
||||
Csatlakozz a [hivatalos AI Discord szerverünkhöz](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), hogy találkozz és kapcsolatot építs más tanulókkal, akik ezt a kurzust végzik, és hogy támogatást kapj.
|
||||
Csatlakozzon a [hivatalos AI Discord szerverünkhöz](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), hogy találkozzon és kapcsolatot építsen más tanulókkal, akik ezt a kurzust végzik, és támogatást kapjon.
|
||||
|
||||
Ha termékvisszajelzésed vagy kérdéseid vannak az építés során, látogasd meg az [Azure AI Foundry Fejlesztői Fórumot](https://aka.ms/foundry/forum).
|
||||
Ha termék-visszajelzése vagy kérdése van az építés során, látogasson el az [Azure AI Foundry Fejlesztői Fórumra](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kvízek
|
||||
|
||||
> **Megjegyzés a kvízekről**: Minden kvíz az etc\quiz-app mappában található, vagy [Online itt](https://ff-quizzes.netlify.app/). A leckékből vannak linkelve, a kvíz alkalmazás helyileg futtatható vagy Azure-ra telepíthető; kövesd az utasításokat a `quiz-app` mappában. Fokozatosan lokalizáljuk őket.
|
||||
> **Megjegyzés a kvízekről**: Minden kvíz az etc\quiz-app mappában található, vagy [Online itt](https://ff-quizzes.netlify.app/). A leckékből vannak linkelve, a kvíz alkalmazás helyben futtatható vagy Azure-ra telepíthető; kövesse az utasításokat a `quiz-app` mappában. Fokozatosan lokalizálják őket.
|
||||
|
||||
## Segítség kérése
|
||||
|
||||
Van javaslatod vagy találtál helyesírási vagy kódhibát? Nyiss egy hibajegyet vagy hozz létre egy pull requestet.
|
||||
Van javaslata vagy talált helyesírási vagy kódhibát? Nyisson egy hibajegyet vagy hozzon létre egy pull requestet.
|
||||
|
||||
## Külön köszönet
|
||||
|
||||
|
|
@ -162,53 +162,59 @@ Van javaslatod vagy találtál helyesírási vagy kódhibát? Nyiss egy hibajegy
|
|||
|
||||
## Egyéb tananyagok
|
||||
|
||||
Csapatunk más tananyagokat is készít! Nézd meg:
|
||||
Csapatunk más tananyagokat is készít! Nézze meg:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Ügynökök
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generatív AI sorozat
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Alapvető tanulás
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot sorozat
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Segítség kérése
|
||||
|
||||
Ha elakadsz vagy kérdéseid vannak az AI alkalmazások építésével kapcsolatban, csatlakozz más tanulókhoz és tapasztalt fejlesztőkhöz MCP témájú beszélgetésekben. Ez egy támogató közösség, ahol szívesen fogadják a kérdéseket, és szabadon osztják meg a tudást.
|
||||
Ha elakad vagy kérdése van az AI alkalmazások építésével kapcsolatban, csatlakozzon más tanulókhoz és tapasztalt fejlesztőkhöz MCP témájú beszélgetésekben. Ez egy támogató közösség, ahol szívesen fogadják a kérdéseket, és szabadon osztják meg a tudást.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ha termékvisszajelzésed van, vagy hibákat tapasztalsz az építés során, látogasd meg:
|
||||
Ha termék-visszajelzése van, vagy hibát tapasztal az építés során, látogasson el ide:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Felelősség kizárása**:
|
||||
Ez a dokumentum az [Co-op Translator](https://github.com/Azure/co-op-translator) AI fordítási szolgáltatás segítségével lett lefordítva. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az eredeti nyelvén tekintendő hiteles forrásnak. Kritikus információk esetén javasolt professzionális emberi fordítást igénybe venni. Nem vállalunk felelősséget semmilyen félreértésért vagy téves értelmezésért, amely a fordítás használatából eredhet.
|
||||
Ezt a dokumentumot az [Co-op Translator](https://github.com/Azure/co-op-translator) AI fordítási szolgáltatás segítségével fordították le. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az eredeti nyelvén tekintendő hiteles forrásnak. Kritikus információk esetén javasolt professzionális emberi fordítást igénybe venni. Nem vállalunk felelősséget a fordítás használatából eredő félreértésekért vagy téves értelmezésekért.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:00:42+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:41:42+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "id"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI Untuk Pemula - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Kurikulum ini mencakup pelajaran praktis, kuis, dan laboratorium. Kurikulum ini ramah pemula dan mencakup alat seperti TensorFlow dan PyTorch, serta etika dalam AI.
|
||||
Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu dan 24 pelajaran kami! Kurikulum ini mencakup pelajaran praktis, kuis, dan laboratorium. Kurikulum ini ramah untuk pemula dan mencakup alat seperti TensorFlow dan PyTorch, serta etika dalam AI.
|
||||
|
||||
### 🌐 Dukungan Multi-Bahasa
|
||||
|
||||
|
|
@ -37,12 +37,12 @@ Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajar
|
|||
[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Makau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hungaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepal](../ne/README.md) | [Pidgin Nigeria](../pcm/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Kiril)](../sr/README.md) | [Slovakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailand](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jika Anda ingin menambahkan bahasa terjemahan lainnya, daftar bahasa yang didukung tersedia [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jika Anda ingin menambahkan dukungan bahasa lain, daftar bahasa yang didukung tersedia [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Bergabung dengan Komunitas
|
||||
## Bergabunglah dengan Komunitas
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Apa yang akan Anda pelajari
|
||||
## Apa yang Akan Anda Pelajari
|
||||
|
||||
**[Peta Pikiran Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
|
|
@ -50,7 +50,7 @@ Dalam kurikulum ini, Anda akan mempelajari:
|
|||
|
||||
* Pendekatan berbeda terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Jaringan Saraf** dan **Pembelajaran Mendalam**, yang menjadi inti dari AI modern. Kami akan mengilustrasikan konsep-konsep di balik topik penting ini menggunakan kode dalam dua kerangka kerja paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org).
|
||||
* **Arsitektur Saraf** untuk bekerja dengan gambar dan teks. Kami akan membahas model-model terbaru tetapi mungkin sedikit kurang dalam hal teknologi terkini.
|
||||
* **Arsitektur Jaringan Saraf** untuk bekerja dengan gambar dan teks. Kami akan membahas model-model terbaru, meskipun mungkin sedikit kurang dalam hal teknologi terkini.
|
||||
* Pendekatan AI yang kurang populer, seperti **Algoritma Genetik** dan **Sistem Multi-Agen**.
|
||||
|
||||
Apa yang tidak akan kami bahas dalam kurikulum ini:
|
||||
|
|
@ -59,12 +59,12 @@ Apa yang tidak akan kami bahas dalam kurikulum ini:
|
|||
|
||||
* Kasus bisnis penggunaan **AI dalam Bisnis**. Pertimbangkan untuk mengambil jalur pembelajaran [Pengenalan AI untuk pengguna bisnis](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dikembangkan bekerja sama dengan [INSEAD](https://www.insead.edu/).
|
||||
* **Pembelajaran Mesin Klasik**, yang dijelaskan dengan baik dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplikasi AI praktis yang dibangun menggunakan **[Layanan Kognitif](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami merekomendasikan Anda memulai dengan modul Microsoft Learn untuk [visi](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemrosesan bahasa alami](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lainnya.
|
||||
* Aplikasi AI praktis yang dibangun menggunakan **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami merekomendasikan Anda memulai dengan modul Microsoft Learn untuk [visi komputer](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemrosesan bahasa alami](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**, dan lainnya.
|
||||
* Kerangka kerja **Cloud ML** tertentu, seperti [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan untuk menggunakan jalur pembelajaran [Membangun dan mengoperasikan solusi pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Membangun dan Mengoperasikan Solusi Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI Percakapan** dan **Chat Bot**. Ada jalur pembelajaran terpisah [Membuat solusi AI percakapan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan Anda juga dapat merujuk ke [posting blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk detail lebih lanjut.
|
||||
* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami merekomendasikan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio, dan Aaron Courville, yang juga tersedia online di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami merekomendasikan buku [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio, dan Aaron Courville, yang juga tersedia online di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Untuk pengenalan yang lembut tentang topik _AI di Cloud_, Anda dapat mempertimbangkan untuk mengambil jalur pembelajaran [Memulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Untuk pengenalan yang lebih ringan tentang topik _AI di Cloud_, Anda dapat mempertimbangkan untuk mengambil jalur pembelajaran [Memulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Konten
|
||||
|
||||
|
|
@ -78,11 +78,11 @@ Untuk pengenalan yang lembut tentang topik _AI di Cloud_, Anda dapat mempertimba
|
|||
| III | [**Pengenalan Jaringan Saraf**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Berlapis Banyak dan Membuat Framework Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Pengenalan Framework (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [Pengantar Framework (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Jelajahi Computer Vision di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Pengenalan Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 06 | [Pengantar Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arsitektur CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Jaringan Pra-Latih dan Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Jaringan yang Sudah Dilatih dan Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders dan VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generative Adversarial Networks & Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Deteksi Objek](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
|
|
@ -92,7 +92,7 @@ Untuk pengenalan yang lembut tentang topik _AI di Cloud_, Anda dapat mempertimba
|
|||
| 14 | [Embedding Kata Semantik. Word2Vec dan GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Pemodelan Bahasa. Melatih Embedding Sendiri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Recurrent Neural Networks](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Jaringan Rekuren Generatif](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Model Bahasa Besar, Pemrograman Prompt, dan Tugas Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
|
|
@ -103,24 +103,24 @@ Untuk pengenalan yang lembut tentang topik _AI di Cloud_, Anda dapat mempertimba
|
|||
| VII | **Etika AI** | | |
|
||||
| 24 | [Etika AI dan AI yang Bertanggung Jawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsip AI yang Bertanggung Jawab](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Tambahan** | | |
|
||||
| 25 | [Jaringan Multi-Modal, CLIP, dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Jaringan Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Setiap pelajaran mencakup
|
||||
|
||||
* Materi pra-baca
|
||||
* Jupyter Notebook yang dapat dijalankan, sering kali spesifik untuk framework tertentu (**PyTorch** atau **TensorFlow**). Notebook ini juga berisi banyak materi teoretis, jadi untuk memahami topik, Anda perlu mempelajari setidaknya satu versi notebook (baik PyTorch atau TensorFlow).
|
||||
* Materi pra-pembacaan
|
||||
* Jupyter Notebook yang dapat dijalankan, sering kali spesifik untuk framework (**PyTorch** atau **TensorFlow**). Notebook yang dapat dijalankan juga berisi banyak materi teori, jadi untuk memahami topik tersebut, Anda perlu membaca setidaknya satu versi notebook (baik PyTorch atau TensorFlow).
|
||||
* **Lab** tersedia untuk beberapa topik, yang memberi Anda kesempatan untuk mencoba menerapkan materi yang telah Anda pelajari pada masalah tertentu.
|
||||
* Beberapa bagian berisi tautan ke modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang mencakup topik terkait.
|
||||
|
||||
## Memulai
|
||||
|
||||
### 🎯 Baru dalam AI? Mulai di Sini!
|
||||
### 🎯 Baru dalam AI? Mulai di sini!
|
||||
|
||||
Jika Anda benar-benar baru dalam AI dan ingin contoh langsung, lihat [**Contoh Ramah Pemula**](./examples/README.md)! Ini mencakup:
|
||||
Jika Anda benar-benar baru dalam AI dan ingin contoh langsung, lihat [**Contoh Ramah Pemula**](./examples/README.md)! Contoh ini mencakup:
|
||||
|
||||
- 🌟 **Hello AI World** - Program AI pertama Anda (pengenalan pola)
|
||||
- 🧠 **Jaringan Neural Sederhana** - Bangun jaringan neural dari awal
|
||||
- 🖼️ **Pengklasifikasi Gambar** - Klasifikasikan gambar dengan komentar yang rinci
|
||||
- 🖼️ **Pengklasifikasi Gambar** - Klasifikasikan gambar dengan komentar yang mendetail
|
||||
- 💬 **Analisis Sentimen Teks** - Analisis teks positif/negatif
|
||||
|
||||
Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum memulai kurikulum lengkap.
|
||||
|
|
@ -136,9 +136,9 @@ Fork Repositori: Klik tombol "Fork" di pojok kanan atas halaman ini.
|
|||
|
||||
Clone Repositori: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Jangan lupa untuk memberi bintang (🌟) pada repositori ini agar mudah ditemukan nanti.
|
||||
Jangan lupa untuk memberi bintang (🌟) pada repositori ini agar lebih mudah ditemukan nanti.
|
||||
|
||||
## Bertemu dengan Pelajar Lain
|
||||
## Temui Pelajar Lain
|
||||
|
||||
Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan pelajar lain yang mengikuti kursus ini dan mendapatkan dukungan.
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Apakah Anda memiliki saran atau menemukan kesalahan ejaan atau kode? Ajukan masa
|
|||
|
||||
Tim kami juga memproduksi kurikulum lainnya! Lihat:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agen
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -210,5 +216,5 @@ Jika Anda memiliki masukan produk atau menemukan kesalahan saat membangun, kunju
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Penafian**:
|
||||
Dokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan hasil yang akurat, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang penting, disarankan menggunakan jasa penerjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang timbul dari penggunaan terjemahan ini.
|
||||
Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan terjemahan yang akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang berwenang. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa terjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau interpretasi yang salah yang timbul dari penggunaan terjemahan ini.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:39:51+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:22:29+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "it"
|
||||
}
|
||||
|
|
@ -37,7 +37,7 @@ Esplora il mondo dell'**Intelligenza Artificiale** (AI) con il nostro curriculum
|
|||
[Arabo](../ar/README.md) | [Bengalese](../bn/README.md) | [Bulgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Cinese (Semplificato)](../zh/README.md) | [Cinese (Tradizionale, Hong Kong)](../hk/README.md) | [Cinese (Tradizionale, Macao)](../mo/README.md) | [Cinese (Tradizionale, Taiwan)](../tw/README.md) | [Croato](../hr/README.md) | [Ceco](../cs/README.md) | [Danese](../da/README.md) | [Olandese](../nl/README.md) | [Estone](../et/README.md) | [Finlandese](../fi/README.md) | [Francese](../fr/README.md) | [Tedesco](../de/README.md) | [Greco](../el/README.md) | [Ebraico](../he/README.md) | [Hindi](../hi/README.md) | [Ungherese](../hu/README.md) | [Indonesiano](../id/README.md) | [Italiano](./README.md) | [Giapponese](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malese](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalese](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norvegese](../no/README.md) | [Persiano (Farsi)](../fa/README.md) | [Polacco](../pl/README.md) | [Portoghese (Brasile)](../br/README.md) | [Portoghese (Portogallo)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeno](../ro/README.md) | [Russo](../ru/README.md) | [Serbo (Cirillico)](../sr/README.md) | [Slovacco](../sk/README.md) | [Sloveno](../sl/README.md) | [Spagnolo](../es/README.md) | [Swahili](../sw/README.md) | [Svedese](../sv/README.md) | [Tagalog (Filippino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandese](../th/README.md) | [Turco](../tr/README.md) | [Ucraino](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Se desideri aggiungere ulteriori traduzioni, le lingue supportate sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Se desideri aggiungere altre traduzioni, le lingue supportate sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Unisciti alla Comunità
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -59,7 +59,7 @@ Cosa non copriremo in questo curriculum:
|
|||
|
||||
* Casi aziendali di utilizzo dell'**AI nel Business**. Considera di seguire il percorso di apprendimento [Introduzione all'AI per utenti aziendali](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) su Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sviluppato in collaborazione con [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning Classico**, ben descritto nel nostro [Curriculum di Machine Learning per Principianti](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Applicazioni pratiche di AI costruite utilizzando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Per questo, ti consigliamo di iniziare con i moduli di Microsoft Learn per [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [elaborazione del linguaggio naturale](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e altri.
|
||||
* Applicazioni pratiche di AI costruite utilizzando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Per questo, ti consigliamo di iniziare con i moduli Microsoft Learn per [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [elaborazione del linguaggio naturale](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e altri.
|
||||
* Specifici **Framework Cloud ML**, come [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera di utilizzare i percorsi di apprendimento [Costruire e operare soluzioni di machine learning con Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Costruire e operare soluzioni di machine learning con Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI Conversazionale** e **Chat Bot**. Esiste un percorso di apprendimento separato [Creare soluzioni di AI conversazionale](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e puoi anche fare riferimento a [questo post sul blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) per maggiori dettagli.
|
||||
* **Matematica Avanzata** dietro il deep learning. Per questo, ti consigliamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) di Ian Goodfellow, Yoshua Bengio e Aaron Courville, disponibile anche online su [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
|
@ -82,20 +82,20 @@ Per un'introduzione semplice ai temi di _AI nel Cloud_, potresti considerare di
|
|||
| IV | [**Visione Artificiale**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Esplora la Visione Artificiale su Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introduzione alla Visione Artificiale. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Reti Neurali Convoluzionali](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architetture CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Reti Pre-addestrate e Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Trucchi di Addestramento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Reti Pre-addestrate e Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Trucchi per l'Addestramento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoder e VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Reti Generative Adversariali e Trasferimento di Stile Artistico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Rilevamento degli Oggetti](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 10 | [Reti Generative Avversarie e Trasferimento di Stile Artistico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Rilevamento Oggetti](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentazione Semantica. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Elaborazione del Linguaggio Naturale**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Esplora l'Elaborazione del Linguaggio Naturale su Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Rappresentazione del Testo. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Embedding Semantici delle Parole. Word2Vec e GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modellazione del Linguaggio. Addestramento dei propri embedding](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 15 | [Modellazione del Linguaggio. Addestrare i propri embedding](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Reti Neurali Ricorrenti](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Reti Ricorrenti Generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Reti Generative Ricorrenti](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Riconoscimento delle Entità Nominate](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Modelli di Linguaggio di Grandi Dimensioni, Programmazione con Prompt e Compiti Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 19 | [Riconoscimento di Entità Nominate](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Grandi Modelli Linguistici, Programmazione con Prompt e Task Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Altre Tecniche di AI** || |
|
||||
| 21 | [Algoritmi Genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Apprendimento Rinforzato Profondo](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
|
|
@ -108,9 +108,9 @@ Per un'introduzione semplice ai temi di _AI nel Cloud_, potresti considerare di
|
|||
## Ogni lezione contiene
|
||||
|
||||
* Materiale di lettura preliminare
|
||||
* Notebook Jupyter eseguibili, spesso specifici per il framework (**PyTorch** o **TensorFlow**). Il notebook eseguibile include anche molto materiale teorico, quindi per comprendere l'argomento è necessario esaminare almeno una versione del notebook (PyTorch o TensorFlow).
|
||||
* **Laboratori** disponibili per alcuni argomenti, che ti danno l'opportunità di applicare il materiale appreso a un problema specifico.
|
||||
* Alcune sezioni contengono link ai moduli [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) che trattano argomenti correlati.
|
||||
* Jupyter Notebook eseguibili, spesso specifici per il framework (**PyTorch** o **TensorFlow**). Il notebook eseguibile include anche molto materiale teorico, quindi per comprendere l'argomento è necessario seguire almeno una versione del notebook (PyTorch o TensorFlow).
|
||||
* **Lab** disponibili per alcuni argomenti, che ti danno l'opportunità di applicare il materiale appreso a un problema specifico.
|
||||
* Alcune sezioni contengono link a moduli di [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) che trattano argomenti correlati.
|
||||
|
||||
## Per iniziare
|
||||
|
||||
|
|
@ -121,7 +121,7 @@ Se sei completamente nuovo all'AI e vuoi esempi pratici e veloci, dai un'occhiat
|
|||
- 🌟 **Hello AI World** - Il tuo primo programma AI (riconoscimento di pattern)
|
||||
- 🧠 **Rete Neurale Semplice** - Costruisci una rete neurale da zero
|
||||
- 🖼️ **Classificatore di Immagini** - Classifica immagini con commenti dettagliati
|
||||
- 💬 **Sentimento del Testo** - Analizza il testo positivo/negativo
|
||||
- 💬 **Sentimento del Testo** - Analizza testo positivo/negativo
|
||||
|
||||
Questi esempi sono progettati per aiutarti a comprendere i concetti di intelligenza artificiale prima di immergerti nel curriculum completo.
|
||||
|
||||
|
|
@ -132,7 +132,7 @@ Questi esempi sono progettati per aiutarti a comprendere i concetti di intellige
|
|||
|
||||
Segui questi passaggi:
|
||||
|
||||
Fai un Fork del Repository: Clicca sul pulsante "Fork" in alto a destra di questa pagina.
|
||||
Fai un Fork del Repository: Clicca sul pulsante "Fork" in alto a destra in questa pagina.
|
||||
|
||||
Clona il Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
|
|
@ -140,13 +140,13 @@ Non dimenticare di aggiungere una stella (🌟) a questo repository per trovarlo
|
|||
|
||||
## Incontra altri Studenti
|
||||
|
||||
Unisciti al nostro [server Discord ufficiale sull'AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) per incontrare e fare rete con altri studenti che seguono questo corso e ottenere supporto.
|
||||
Unisciti al nostro [server Discord ufficiale sull'IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) per incontrare e fare rete con altri studenti che seguono questo corso e ottenere supporto.
|
||||
|
||||
Se hai feedback sui prodotti o domande durante la costruzione, visita il nostro [Forum degli Sviluppatori di Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quiz
|
||||
## Quiz
|
||||
|
||||
> **Nota sui quiz**: Tutti i quiz si trovano nella cartella Quiz-app in etc\quiz-app, o [Online Qui](https://ff-quizzes.netlify.app/). Sono collegati all'interno delle lezioni e l'app dei quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Stiamo gradualmente localizzando i contenuti.
|
||||
> **Nota sui quiz**: Tutti i quiz si trovano nella cartella Quiz-app in etc\quiz-app, o [Online Qui](https://ff-quizzes.netlify.app/). Sono collegati all'interno delle lezioni e l'app dei quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Stanno gradualmente venendo localizzati.
|
||||
|
||||
## Aiuto Richiesto
|
||||
|
||||
|
|
@ -164,16 +164,22 @@ Hai suggerimenti o hai trovato errori di ortografia o di codice? Apri un problem
|
|||
|
||||
Il nostro team produce altri curricula! Dai un'occhiata:
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Serie AI Generativa
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -181,20 +187,20 @@ Il nostro team produce altri curricula! Dai un'occhiata:
|
|||
---
|
||||
|
||||
### Apprendimento Core
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Ottenere Aiuto
|
||||
|
||||
|
|
@ -209,6 +215,6 @@ Se hai feedback sui prodotti o errori durante la costruzione, visita:
|
|||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Disclaimer**:
|
||||
Questo documento è stato tradotto utilizzando il servizio di traduzione AI [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire l'accuratezza, si prega di notare che le traduzioni automatiche potrebbero contenere errori o imprecisioni. Il documento originale nella sua lingua nativa dovrebbe essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale umana. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall'uso di questa traduzione.
|
||||
**Disclaimer (Avvertenza)**:
|
||||
Questo documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire l'accuratezza, si prega di notare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua nativa dovrebbe essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale umana. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall'uso di questa traduzione.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:23:24+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:07:45+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ja"
|
||||
}
|
||||
|
|
@ -23,21 +23,21 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# 初心者のための人工知能 - カリキュラム
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| 初心者のためのAI - _スケッチノート by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| 初心者のためのAI - _[@girlie_mac](https://twitter.com/girlie_mac) によるスケッチノート_ |
|
||||
|
||||
**人工知能** (AI) の世界を探求する12週間、24レッスンのカリキュラムです！ 実践的なレッスン、クイズ、ラボが含まれています。このカリキュラムは初心者向けで、TensorFlowやPyTorchのようなツール、そしてAIの倫理についても扱います。
|
||||
**人工知能**（AI）の世界を、12週間・24レッスンのカリキュラムで探求しましょう！ 実践的なレッスン、クイズ、ラボが含まれています。このカリキュラムは初心者向けで、TensorFlowやPyTorchのようなツール、そしてAIの倫理についてもカバーしています。
|
||||
|
||||
### 🌐 多言語対応
|
||||
### 🌐 多言語サポート
|
||||
|
||||
#### GitHub Actionによるサポート (自動更新 & 常に最新)
|
||||
#### GitHub Action によるサポート（自動化され、常に最新）
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[アラビア語](../ar/README.md) | [ベンガル語](../bn/README.md) | [ブルガリア語](../bg/README.md) | [ビルマ語 (ミャンマー)](../my/README.md) | [中国語 (簡体字)](../zh/README.md) | [中国語 (繁体字, 香港)](../hk/README.md) | [中国語 (繁体字, マカオ)](../mo/README.md) | [中国語 (繁体字, 台湾)](../tw/README.md) | [クロアチア語](../hr/README.md) | [チェコ語](../cs/README.md) | [デンマーク語](../da/README.md) | [オランダ語](../nl/README.md) | [エストニア語](../et/README.md) | [フィンランド語](../fi/README.md) | [フランス語](../fr/README.md) | [ドイツ語](../de/README.md) | [ギリシャ語](../el/README.md) | [ヘブライ語](../he/README.md) | [ヒンディー語](../hi/README.md) | [ハンガリー語](../hu/README.md) | [インドネシア語](../id/README.md) | [イタリア語](../it/README.md) | [日本語](./README.md) | [カンナダ語](../kn/README.md) | [韓国語](../ko/README.md) | [リトアニア語](../lt/README.md) | [マレー語](../ms/README.md) | [マラヤーラム語](../ml/README.md) | [マラーティー語](../mr/README.md) | [ネパール語](../ne/README.md) | [ナイジェリア・ピジン語](../pcm/README.md) | [ノルウェー語](../no/README.md) | [ペルシャ語 (ファルシ)](../fa/README.md) | [ポーランド語](../pl/README.md) | [ポルトガル語 (ブラジル)](../br/README.md) | [ポルトガル語 (ポルトガル)](../pt/README.md) | [パンジャブ語 (グルムキー)](../pa/README.md) | [ルーマニア語](../ro/README.md) | [ロシア語](../ru/README.md) | [セルビア語 (キリル文字)](../sr/README.md) | [スロバキア語](../sk/README.md) | [スロベニア語](../sl/README.md) | [スペイン語](../es/README.md) | [スワヒリ語](../sw/README.md) | [スウェーデン語](../sv/README.md) | [タガログ語 (フィリピン)](../tl/README.md) | [タミル語](../ta/README.md) | [テルグ語](../te/README.md) | [タイ語](../th/README.md) | [トルコ語](../tr/README.md) | [ウクライナ語](../uk/README.md) | [ウルドゥー語](../ur/README.md) | [ベトナム語](../vi/README.md)
|
||||
[アラビア語](../ar/README.md) | [ベンガル語](../bn/README.md) | [ブルガリア語](../bg/README.md) | [ビルマ語（ミャンマー）](../my/README.md) | [中国語（簡体字）](../zh/README.md) | [中国語（繁体字、香港）](../hk/README.md) | [中国語（繁体字、マカオ）](../mo/README.md) | [中国語（繁体字、台湾）](../tw/README.md) | [クロアチア語](../hr/README.md) | [チェコ語](../cs/README.md) | [デンマーク語](../da/README.md) | [オランダ語](../nl/README.md) | [エストニア語](../et/README.md) | [フィンランド語](../fi/README.md) | [フランス語](../fr/README.md) | [ドイツ語](../de/README.md) | [ギリシャ語](../el/README.md) | [ヘブライ語](../he/README.md) | [ヒンディー語](../hi/README.md) | [ハンガリー語](../hu/README.md) | [インドネシア語](../id/README.md) | [イタリア語](../it/README.md) | [日本語](./README.md) | [カンナダ語](../kn/README.md) | [韓国語](../ko/README.md) | [リトアニア語](../lt/README.md) | [マレー語](../ms/README.md) | [マラヤーラム語](../ml/README.md) | [マラーティー語](../mr/README.md) | [ネパール語](../ne/README.md) | [ナイジェリア・ピジン語](../pcm/README.md) | [ノルウェー語](../no/README.md) | [ペルシャ語（ファルシー）](../fa/README.md) | [ポーランド語](../pl/README.md) | [ポルトガル語（ブラジル）](../br/README.md) | [ポルトガル語（ポルトガル）](../pt/README.md) | [パンジャブ語（グルムキー）](../pa/README.md) | [ルーマニア語](../ro/README.md) | [ロシア語](../ru/README.md) | [セルビア語（キリル文字）](../sr/README.md) | [スロバキア語](../sk/README.md) | [スロベニア語](../sl/README.md) | [スペイン語](../es/README.md) | [スワヒリ語](../sw/README.md) | [スウェーデン語](../sv/README.md) | [タガログ語（フィリピン語）](../tl/README.md) | [タミル語](../ta/README.md) | [テルグ語](../te/README.md) | [タイ語](../th/README.md) | [トルコ語](../tr/README.md) | [ウクライナ語](../uk/README.md) | [ウルドゥー語](../ur/README.md) | [ベトナム語](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**追加の翻訳を希望する場合は、[こちら](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)に記載されているサポート言語をご確認ください**
|
||||
**追加の翻訳を希望する場合は、[こちら](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)にサポートされている言語が記載されています。**
|
||||
|
||||
## コミュニティに参加しよう
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,23 +48,23 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
このカリキュラムでは以下を学びます：
|
||||
|
||||
* **人工知能**のさまざまなアプローチ。特に「古典的」な記号的アプローチである**知識表現**と推論 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
|
||||
* 現代AIの中心である**ニューラルネットワーク**と**ディープラーニング**。これらの重要なトピックの概念を、人気のあるフレームワークである [TensorFlow](http://Tensorflow.org) と [PyTorch](http://pytorch.org) を使ってコードで説明します。
|
||||
* 画像やテキストを扱うための**ニューラルアーキテクチャ**。最新のモデルを扱いますが、最先端のものは少し不足しているかもしれません。
|
||||
* 人工知能のさまざまなアプローチ、特に「古き良き」シンボリックアプローチである**知識表現**と推論（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
|
||||
* 現代AIの中心である**ニューラルネットワーク**と**ディープラーニング**。これらの重要なトピックの概念を、[TensorFlow](http://Tensorflow.org)や[PyTorch](http://pytorch.org)といった人気のフレームワークを使って説明します。
|
||||
* 画像やテキストを扱うための**ニューラルアーキテクチャ**。最新のモデルをカバーしますが、最先端の部分は少し不足しているかもしれません。
|
||||
* あまり知られていないAIアプローチ、例えば**遺伝的アルゴリズム**や**マルチエージェントシステム**。
|
||||
|
||||
このカリキュラムで扱わない内容：
|
||||
|
||||
> [このコースの追加リソースはMicrosoft Learnコレクションで見つけることができます](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **ビジネスにおけるAIの活用事例**。Microsoft Learnの[Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)学習パスや、[AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)を検討してください。これは[INSEAD](https://www.insead.edu/)と協力して開発されました。
|
||||
* **ビジネスにおけるAIの活用事例**。Microsoft Learnの[Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)学習パスや、[INSEAD](https://www.insead.edu/)と共同開発された[AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)を受講することを検討してください。
|
||||
* **古典的な機械学習**。これは[Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)で詳しく説明されています。
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**を使用して構築された実践的なAIアプリケーション。これについては、Microsoft Learnのモジュールで[ビジョン](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然言語処理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI Serviceを使った生成AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**などを学ぶことをお勧めします。
|
||||
* 特定のML **クラウドフレームワーク**、例えば [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)、または [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。[Azure Machine Learningを使った機械学習ソリューションの構築と運用](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum)や[Azure Databricksを使った機械学習ソリューションの構築と運用](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)学習パスを検討してください。
|
||||
* **会話型AI**や**チャットボット**。これには[会話型AIソリューションの作成](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)学習パスがあり、さらに詳しくは[このブログ記事](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)を参照してください。
|
||||
* **ディープラーニングの深い数学的背景**。これについては、Ian Goodfellow、Yoshua Bengio、Aaron Courvilleによる[Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)をお勧めします。この本はオンラインでも利用可能です：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**を使用して構築された実践的なAIアプリケーション。これについては、Microsoft Learnの[vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然言語処理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI Serviceを使った生成AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**などのモジュールから始めることをお勧めします。
|
||||
* 特定のML **クラウドフレームワーク**、例えば[Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)、または[Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。[Azure Machine Learningを使った機械学習ソリューションの構築と運用](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum)や[Azure Databricksを使った機械学習ソリューションの構築と運用](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)の学習パスを利用することを検討してください。
|
||||
* **会話型AI**や**チャットボット**。これには[Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)学習パスがあり、さらに詳しくは[このブログ記事](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)を参照してください。
|
||||
* ディープラーニングの**高度な数学**。これについては、Ian Goodfellow、Yoshua Bengio、Aaron Courvilleによる[Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)をお勧めします。この本はオンラインでも利用可能です：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
|
||||
クラウドにおけるAIの入門としては、[Azureで人工知能を始める](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)学習パスを検討してください。
|
||||
クラウドにおける_AI_のトピックへの優しい導入として、[Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)学習パスを受講することを検討してください。
|
||||
|
||||
# コンテンツ
|
||||
|
||||
|
|
@ -72,8 +72,8 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [コースセットアップ](./lessons/0-course-setup/setup.md) | [開発環境のセットアップ](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AIの紹介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AIの紹介と歴史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **記号的AI** |
|
||||
| 01 | [AIの歴史と概要](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **シンボリックAI** |
|
||||
| 02 | [知識表現とエキスパートシステム](./lessons/2-Symbolic/README.md) | [エキスパートシステム](./lessons/2-Symbolic/Animals.ipynb) / [オントロジー](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念グラフ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**ニューラルネットワークの紹介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [パーセプトロン](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [ノートブック](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ラボ](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
|
|
@ -84,7 +84,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 07 | [畳み込みニューラルネットワーク](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNNアーキテクチャ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ラボ](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [事前学習済みネットワークと転移学習](./lessons/4-ComputerVision/08-TransferLearning/README.md) および [トレーニングのコツ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ラボ](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [オートエンコーダとVAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [生成的敵対ネットワーク（GAN）と芸術的スタイル転送](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [生成的敵対ネットワークと芸術的スタイル転送](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [物体検出](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ラボ](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [セマンティックセグメンテーション. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**自然言語処理**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azureで自然言語処理を探る](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -109,14 +109,14 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
* 事前学習資料
|
||||
* 実行可能なJupyterノートブック（主にフレームワークに特化したもの：**PyTorch**または**TensorFlow**）。実行可能なノートブックには多くの理論的な内容も含まれているため、トピックを理解するには少なくとも1つのバージョン（PyTorchまたはTensorFlow）を通して学ぶ必要があります。
|
||||
* **ラボ**（一部のトピックで利用可能）。学んだ内容を特定の問題に適用する機会を提供します。
|
||||
* **ラボ**は一部のトピックで利用可能で、学んだ内容を特定の問題に適用する機会を提供します。
|
||||
* 一部のセクションには、関連トピックをカバーする[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)モジュールへのリンクが含まれています。
|
||||
|
||||
## 始めに
|
||||
|
||||
### 🎯 AI初心者の方はこちらから！
|
||||
|
||||
AIが初めてで、すぐに実践的な例を試したい方は、[**初心者向けの例**](./examples/README.md)をご覧ください！以下を含みます：
|
||||
AIが初めてで、すぐに実践的な例を試したい方は、[**初心者向けの例**](./examples/README.md)をご覧ください！以下が含まれます：
|
||||
|
||||
- 🌟 **Hello AI World** - 初めてのAIプログラム（パターン認識）
|
||||
- 🧠 **シンプルなニューラルネットワーク** - ニューラルネットワークをゼロから構築
|
||||
|
|
@ -138,7 +138,7 @@ AIが初めてで、すぐに実践的な例を試したい方は、[**初心者
|
|||
|
||||
このリポジトリを後で簡単に見つけられるように、スター (🌟) を付けるのを忘れないでください。
|
||||
|
||||
## 他の学習者とつながる
|
||||
## 他の学習者と出会う
|
||||
|
||||
[公式AI Discordサーバー](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)に参加して、このコースを受講している他の学習者と交流し、サポートを受けましょう。
|
||||
|
||||
|
|
@ -146,11 +146,11 @@ AIが初めてで、すぐに実践的な例を試したい方は、[**初心者
|
|||
|
||||
## クイズ
|
||||
|
||||
> **クイズについての注意**: すべてのクイズは、etc\quiz-appフォルダー内のQuiz-appフォルダー、または[オンラインでこちら](https://ff-quizzes.netlify.app/)に含まれています。レッスン内からリンクされており、クイズアプリはローカルで実行するかAzureにデプロイできます。`quiz-app`フォルダーの指示に従ってください。クイズは徐々にローカライズされています。
|
||||
> **クイズについての注意**: すべてのクイズは、etc\quiz-appフォルダー内のQuiz-appフォルダー、または[オンラインでこちら](https://ff-quizzes.netlify.app/)に含まれています。レッスン内からリンクされており、クイズアプリはローカルで実行するかAzureにデプロイすることができます。`quiz-app`フォルダーの指示に従ってください。クイズは徐々にローカライズされています。
|
||||
|
||||
## ヘルプ募集
|
||||
|
||||
提案がある、またはスペルミスやコードエラーを見つけた場合は、イシューを作成するかプルリクエストを送信してください。
|
||||
提案がある場合やスペルミスやコードエラーを見つけた場合は、Issueを作成するかPull Requestを送信してください。
|
||||
|
||||
## 特別な感謝
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ AIが初めてで、すぐに実践的な例を試したい方は、[**初心者
|
|||
|
||||
私たちのチームは他のカリキュラムも制作しています！ぜひチェックしてください：
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / エージェント
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ AIが初めてで、すぐに実践的な例を試したい方は、[**初心者
|
|||
|
||||
## ヘルプを得る
|
||||
|
||||
AIアプリの構築中に行き詰まったり質問がある場合は、MCPに関する議論に参加してください。質問が歓迎され、知識が自由に共有されるサポート的なコミュニティです。
|
||||
AIアプリの構築について行き詰まったり質問がある場合は、MCPに関する議論に参加してください。同じ学習者や経験豊富な開発者と交流できるサポートコミュニティで、質問を歓迎し、知識が自由に共有されています。
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ AIアプリの構築中に行き詰まったり質問がある場合は、MCPに
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**免責事項**:
|
||||
この文書はAI翻訳サービス[Co-op Translator](https://github.com/Azure/co-op-translator)を使用して翻訳されています。正確性を追求しておりますが、自動翻訳には誤りや不正確な部分が含まれる可能性があります。元の言語で記載された文書を正式な情報源としてください。重要な情報については、専門の人間による翻訳を推奨します。この翻訳の使用に起因する誤解や誤認について、当社は責任を負いません。
|
||||
この文書は、AI翻訳サービス[Co-op Translator](https://github.com/Azure/co-op-translator)を使用して翻訳されています。正確性を期しておりますが、自動翻訳には誤りや不正確な部分が含まれる可能性があります。元の言語で記載された文書が正式な情報源と見なされるべきです。重要な情報については、専門の人間による翻訳をお勧めします。この翻訳の使用に起因する誤解や誤認について、当方は一切の責任を負いません。
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
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CO_OP_TRANSLATOR_METADATA:
|
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|
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"source_file": "README.md",
|
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"language_code": "kn"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| ಪ್ರಾರಂಭಿಕರಿಗಾಗಿ AI - _[@girlie_mac](https://twitter.com/girlie_mac) ಅವರ ಸ್ಕೆಚ್ನೋಟ್_ |
|
||||
|
||||
**ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ** (AI) ಯ ಜಗತ್ತನ್ನು 12 ವಾರಗಳ, 24 ಪಾಠಗಳ ಪಠ್ಯಕ್ರಮದೊಂದಿಗೆ ಅನ್ವೇಷಿಸಿ! ಇದು ಪ್ರಾಯೋಗಿಕ ಪಾಠಗಳು, ಪ್ರಶ್ನೋತ್ತರಗಳು ಮತ್ತು ಪ್ರಯೋಗಾಲಯಗಳನ್ನು ಒಳಗೊಂಡಿದೆ. ಈ ಪಠ್ಯಕ್ರಮ ಪ್ರಾರಂಭಿಕರಿಗೆ ಅನುಕೂಲಕರವಾಗಿದೆ ಮತ್ತು TensorFlow ಮತ್ತು PyTorch ಮುಂತಾದ ಸಾಧನಗಳು, ಜೊತೆಗೆ AI ನ ನೈತಿಕತೆಗಳನ್ನು ಒಳಗೊಂಡಿದೆ.
|
||||
**ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ** (AI) ಯ ಜಗತ್ತನ್ನು 12 ವಾರಗಳ, 24 ಪಾಠಗಳ ಪಠ್ಯಕ್ರಮದೊಂದಿಗೆ ಅನ್ವೇಷಿಸಿ! ಇದು ಪ್ರಾಯೋಗಿಕ ಪಾಠಗಳು, ಪ್ರಶ್ನೋತ್ತರಗಳು ಮತ್ತು ಪ್ರಯೋಗಾಲಯಗಳನ್ನು ಒಳಗೊಂಡಿದೆ. ಈ ಪಠ್ಯಕ್ರಮ ಪ್ರಾರಂಭಿಕರಿಗೆ ಅನುಕೂಲಕರವಾಗಿದೆ ಮತ್ತು TensorFlow ಮತ್ತು PyTorch ಮುಂತಾದ ಸಾಧನಗಳನ್ನು, ಹಾಗು AI ನ ನೈತಿಕತೆಯನ್ನು ಒಳಗೊಂಡಿದೆ.
|
||||
|
||||
### 🌐 ಬಹುಭಾಷಾ ಬೆಂಬಲ
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](./README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**ಹೆಚ್ಚುವರಿ ಭಾಷಾಂತರಗಳನ್ನು ಬೆಂಬಲಿಸಲು ಬಯಸಿದರೆ, [ಇಲ್ಲಿ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ಪಟ್ಟಿ ಮಾಡಲಾಗಿದೆ.**
|
||||
**ಹೆಚ್ಚುವರಿ ಭಾಷಾ ಅನುವಾದಗಳನ್ನು ಬೆಂಬಲಿಸಲು ಬಯಸಿದರೆ, [ಇಲ್ಲಿ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ಪಟ್ಟಿ ಮಾಡಲಾಗಿದೆ.**
|
||||
|
||||
## ಸಮುದಾಯಕ್ಕೆ ಸೇರಿ
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -46,25 +46,25 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
**[ಪಠ್ಯಕ್ರಮದ ಮನೋಮಾಪ್](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ, ನೀವು ಕಲಿಯುವಿರಿ:
|
||||
ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ನೀವು ಕಲಿಯುವ ವಿಷಯಗಳು:
|
||||
|
||||
* ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯ ವಿವಿಧ ವಿಧಾನಗಳು, "ಹಳೆಯ" ಚಿಹ್ನಾತ್ಮಕ ವಿಧಾನವನ್ನು **ಜ್ಞಾನ ಪ್ರತಿನಿಧನೆ** ಮತ್ತು ತಾರ್ಕಿಕತೆಯೊಂದಿಗೆ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) ಒಳಗೊಂಡಂತೆ.
|
||||
* **ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್ಗಳು** ಮತ್ತು **ಡೀಪ್ ಲರ್ನಿಂಗ್**, ಇವು ಆಧುನಿಕ AI ಯ ಹೃದಯವಾಗಿದೆ. ಈ ಮಹತ್ವದ ವಿಷಯಗಳ ಹಿಂದಿನ ತತ್ವಗಳನ್ನು [TensorFlow](http://Tensorflow.org) ಮತ್ತು [PyTorch](http://pytorch.org) ಎಂಬ ಎರಡು ಜನಪ್ರಿಯ ಫ್ರೇಮ್ವರ್ಕ್ಗಳಲ್ಲಿ ಕೋಡ್ ಬಳಸಿ ವಿವರಿಸುತ್ತೇವೆ.
|
||||
* **ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್ಗಳು** ಮತ್ತು **ಡೀಪ್ ಲರ್ನಿಂಗ್**, ಇವು ಆಧುನಿಕ AI ಯ ಹೃದಯವಾಗಿದೆ. ಈ ಪ್ರಮುಖ ವಿಷಯಗಳ ಹಿಂದಿನ ತತ್ವಗಳನ್ನು [TensorFlow](http://Tensorflow.org) ಮತ್ತು [PyTorch](http://pytorch.org) ಎಂಬ ಜನಪ್ರಿಯ ಫ್ರೇಮ್ವರ್ಕ್ಗಳಲ್ಲಿ ಕೋಡ್ ಬಳಸಿ ವಿವರಿಸುತ್ತೇವೆ.
|
||||
* ಚಿತ್ರಗಳು ಮತ್ತು ಪಠ್ಯಗಳೊಂದಿಗೆ ಕೆಲಸ ಮಾಡಲು **ನ್ಯೂರಲ್ ಆರ್ಕಿಟೆಕ್ಚರ್ಗಳು**. ಇತ್ತೀಚಿನ ಮಾದರಿಗಳನ್ನು ನಾವು ಒಳಗೊಂಡಿದ್ದೇವೆ ಆದರೆ ಅತ್ಯಾಧುನಿಕ ವಿಷಯಗಳಲ್ಲಿ ಸ್ವಲ್ಪ ಕೊರತೆಯಿರಬಹುದು.
|
||||
* ಕಡಿಮೆ ಜನಪ್ರಿಯ AI ವಿಧಾನಗಳು, ಉದಾಹರಣೆಗೆ **ಜನ್ಯತಾಂತ್ರಿಕ ಅಲ್ಗಾರಿದಮ್ಗಳು** ಮತ್ತು **ಬಹು-ಏಜೆಂಟ್ ವ್ಯವಸ್ಥೆಗಳು**.
|
||||
* ಹೆಚ್ಚು ಜನಪ್ರಿಯವಲ್ಲದ AI ವಿಧಾನಗಳು, ಉದಾಹರಣೆಗೆ **ಜನ್ಯತಾಂತ್ರಿಕ ಅಲ್ಗಾರಿದಮ್ಗಳು** ಮತ್ತು **ಬಹು-ಏಜೆಂಟ್ ವ್ಯವಸ್ಥೆಗಳು**.
|
||||
|
||||
ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ನಾವು ಒಳಗೊಂಡಿಲ್ಲ:
|
||||
|
||||
> [ಈ ಕೋರ್ಸ್ನ ಎಲ್ಲಾ ಹೆಚ್ಚುವರಿ ಸಂಪತ್ತನ್ನು ನಮ್ಮ Microsoft Learn ಸಂಗ್ರಹದಲ್ಲಿ ಹುಡುಕಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **ವ್ಯಾಪಾರದಲ್ಲಿ AI ಬಳಕೆಯ ವ್ಯವಹಾರ ಕೇಸ್ಗಳು**. [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮ ಅಥವಾ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) ಸಹಯೋಗದಲ್ಲಿ ಅಭಿವೃದ್ಧಿಪಡಿಸಿದ, ತೆಗೆದುಕೊಳ್ಳಲು ಪರಿಗಣಿಸಿ.
|
||||
* **ಕ್ಲಾಸಿಕ್ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್**, ಇದು ನಮ್ಮ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ನಲ್ಲಿ ಚೆನ್ನಾಗಿ ವಿವರಿಸಲಾಗಿದೆ.
|
||||
* **[ಕಾಗ್ನಿಟಿವ್ ಸರ್ವೀಸ್ಗಳು](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ಬಳಸಿ ನಿರ್ಮಿಸಲಾದ ಪ್ರಾಯೋಗಿಕ AI ಅನ್ವಯಿಕೆಗಳು. ಇದಕ್ಕಾಗಿ, [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ಮತ್ತು ಇತರ ವಿಷಯಗಳ Microsoft Learn ಮಾದರಿಗಳನ್ನು ಪ್ರಾರಂಭಿಸಲು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ.
|
||||
* **ಕ್ಲೌಡ್ ಫ್ರೇಮ್ವರ್ಕ್ಗಳ** ವಿಶೇಷ ML, ಉದಾಹರಣೆಗೆ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ಅಥವಾ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ಮತ್ತು [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮಗಳನ್ನು ಬಳಸಲು ಪರಿಗಣಿಸಿ.
|
||||
* **ಪಾರಂಪರಿಕ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್**, ಇದು ನಮ್ಮ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ನಲ್ಲಿ ಚೆನ್ನಾಗಿ ವಿವರಿಸಲಾಗಿದೆ.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ಬಳಸಿ ನಿರ್ಮಿಸಲಾದ ಪ್ರಾಯೋಗಿಕ AI ಅನ್ವಯಿಕೆಗಳು. ಇದಕ್ಕಾಗಿ, [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ಮತ್ತು ಇತರ Microsoft Learn ಮಾಂಡ್ಯುಲ್ಗಳಿಂದ ಪ್ರಾರಂಭಿಸಲು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ.
|
||||
* **ಕ್ಲೌಡ್ ಫ್ರೇಮ್ವರ್ಕ್ಗಳು** (ML), ಉದಾಹರಣೆಗೆ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ಅಥವಾ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ಮತ್ತು [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮಗಳನ್ನು ಬಳಸಲು ಪರಿಗಣಿಸಿ.
|
||||
* **ಸಂವಾದಾತ್ಮಕ AI** ಮತ್ತು **ಚಾಟ್ ಬಾಟ್ಗಳು**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮವನ್ನು ಪ್ರತ್ಯೇಕವಾಗಿ ತೆಗೆದುಕೊಳ್ಳಬಹುದು, ಮತ್ತು ಹೆಚ್ಚಿನ ವಿವರಗಳಿಗೆ [ಈ ಬ್ಲಾಗ್ ಪೋಸ್ಟ್](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ಅನ್ನು ನೋಡಿ.
|
||||
* **ಡೀಪ್ ಲರ್ನಿಂಗ್ನ ಡೀಪ್ ಗಣಿತಶಾಸ್ತ್ರ**. ಇದಕ್ಕಾಗಿ, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio ಮತ್ತು Aaron Courville, [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ನಲ್ಲಿ ಲಭ್ಯವಿದೆ.
|
||||
* **ಡೀಪ್ ಲರ್ನಿಂಗ್ನ ಗಣಿತಶಾಸ್ತ್ರ**. ಇದಕ್ಕಾಗಿ, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio ಮತ್ತು Aaron Courville, [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ನಲ್ಲಿ ಲಭ್ಯವಿದೆ.
|
||||
|
||||
_ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ್ಯ ಪರಿಚಯಕ್ಕಾಗಿ, [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮವನ್ನು ಪರಿಗಣಿಸಬಹುದು.
|
||||
_ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ್ಯ ಪರಿಚಯಕ್ಕಾಗಿ, [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ಪಠ್ಯಕ್ರಮವನ್ನು ಪರಿಗಣಿಸಿ.
|
||||
|
||||
# ವಿಷಯ
|
||||
|
||||
|
|
@ -72,21 +72,21 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [ಕೋರ್ಸ್ ಸೆಟಪ್](./lessons/0-course-setup/setup.md) | [ನಿಮ್ಮ ಡೆವಲಪ್ಮೆಂಟ್ ಎನ್ವಿರಾನ್ಮೆಂಟ್ ಸೆಟಪ್ ಮಾಡಿ](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI ಗೆ ಪರಿಚಯ**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI ನ ಪರಿಚಯ ಮತ್ತು ಇತಿಹಾಸ](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **ಸಿಂಬಾಲಿಕ್ AI** |
|
||||
| 02 | [ಜ್ಞಾನ ಪ್ರತಿನಿಧನೆ ಮತ್ತು ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/README.md) | [ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/Animals.ipynb) / [ಆಂಟಾಲಜಿ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ಕಾನ್ಸೆಪ್ಟ್ ಗ್ರಾಫ್](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 01 | [AI ಯ ಪರಿಚಯ ಮತ್ತು ಇತಿಹಾಸ](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **ಚಿಹ್ನಾತ್ಮಕ AI** |
|
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| 02 | [ಜ್ಞಾನ ಪ್ರತಿನಿಧನೆ ಮತ್ತು ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/README.md) | [ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/Animals.ipynb) / [ಒಂಟಾಲಜಿ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ಕಾನ್ಸೆಪ್ಟ್ ಗ್ರಾಫ್](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
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| III | [**ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್ಗಳಿಗೆ ಪರಿಚಯ**](./lessons/3-NeuralNetworks/README.md) |||
|
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| 03 | [ಪರ್ಸೆಪ್ಟ್ರಾನ್](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [ನೋಟ್ಬುಕ್](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [ಮಲ್ಟಿ-ಲೇಯರ್ಡ್ ಪರ್ಸೆಪ್ಟ್ರಾನ್ ಮತ್ತು ನಮ್ಮದೇ ಫ್ರೇಮ್ವರ್ಕ್ ರಚನೆ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ನೋಟ್ಬುಕ್](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ಫ್ರೇಮ್ವರ್ಕ್ಗಳ ಪರಿಚಯ (PyTorch/TensorFlow) ಮತ್ತು ಓವರ್ಫಿಟಿಂಗ್](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**ಕಂಪ್ಯೂಟರ್ ವಿಸನ್**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure ನಲ್ಲಿ ಕಂಪ್ಯೂಟರ್ ವಿಸನ್ ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [ಕಂಪ್ಯೂಟರ್ ವಿಸನ್ ಪರಿಚಯ. ಓಪನ್ಸಿವಿ](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ನೋಟ್ಬುಕ್](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 04 | [ಮಲ್ಟಿ-ಲೇಯರ್ಡ್ ಪರ್ಸೆಪ್ಟ್ರಾನ್ ಮತ್ತು ನಮ್ಮದೇ ಫ್ರೇಮ್ವರ್ಕ್ ರಚನೆ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ನೋಟ್ಬುಕ್](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ಫ್ರೇಮ್ವರ್ಕ್ಗಳ ಪರಿಚಯ (PyTorch/TensorFlow) ಮತ್ತು ಓವರ್ಫಿಟಿಂಗ್](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**ಕಂಪ್ಯೂಟರ್ ವಿಷನ್**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure ನಲ್ಲಿ ಕಂಪ್ಯೂಟರ್ ವಿಷನ್ ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [ಕಂಪ್ಯೂಟರ್ ವಿಷನ್ ಪರಿಚಯ. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ನೋಟ್ಬುಕ್](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [ಕನ್ವಲ್ಯೂಷನಲ್ ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್ಗಳು](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ಆರ್ಕಿಟೆಕ್ಚರ್ಗಳು](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [ಪೂರ್ವ-ಶಿಕ್ಷಿತ ನೆಟ್ವರ್ಕ್ಗಳು ಮತ್ತು ಟ್ರಾನ್ಸ್ಫರ್ ಲರ್ನಿಂಗ್](./lessons/4-ComputerVision/08-TransferLearning/README.md) ಮತ್ತು [ಶಿಕ್ಷಣ ತಂತ್ರಗಳು](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [ಆಟೋಎನ್ಕೋಡರ್ಗಳು ಮತ್ತು VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [ಜನರೇಟಿವ್ ಅಡ್ವರ್ಸೇರಿಯಲ್ ನೆಟ್ವರ್ಕ್ಗಳು ಮತ್ತು ಕಲಾತ್ಮಕ ಶೈಲಿ ವರ್ಗಾವಣೆ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [ಆಬ್ಜೆಕ್ಟ್ ಡಿಟೆಕ್ಷನ್](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [ಸೆಮಾಂಟಿಕ್ ಸೆಗ್ಮೆಂಟೇಶನ್. ಯು-ನೆಟ್](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| 12 | [ಸೆಮಾಂಟಿಕ್ ಸೆಗ್ಮೆಂಟೇಶನ್. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**ನ್ಯಾಚುರಲ್ ಲ್ಯಾಂಗ್ವೇಜ್ ಪ್ರೊಸೆಸಿಂಗ್**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure ನಲ್ಲಿ ನ್ಯಾಚುರಲ್ ಲ್ಯಾಂಗ್ವೇಜ್ ಪ್ರೊಸೆಸಿಂಗ್ ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [ಪಠ್ಯ ಪ್ರತಿನಿಧಿ. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [ಸೆಮಾಂಟಿಕ್ ಶಬ್ದ ಎಂಬೆಡಿಂಗ್ಗಳು. Word2Vec ಮತ್ತು GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
|
|
@ -108,37 +108,37 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
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## ಪ್ರತಿ ಪಾಠದಲ್ಲಿ ಒಳಗೊಂಡಿರುವುದು
|
||||
|
||||
* ಪೂರ್ವ-ಓದುವಿಕೆ ವಸ್ತು
|
||||
* ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ Jupyter ನೋಟ್ಬುಕ್ಗಳು, ಸಾಮಾನ್ಯವಾಗಿ ಫ್ರೇಮ್ವರ್ಕ್ (**PyTorch** ಅಥವಾ **TensorFlow**) ಗೆ ವಿಶೇಷವಾಗಿರುತ್ತವೆ. ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ ನೋಟ್ಬುಕ್ಗಳಲ್ಲಿ ಸಾಕಷ್ಟು ಸಿದ್ಧಾಂತ ವಸ್ತುಗಳೂ ಇರುತ್ತವೆ, ಆದ್ದರಿಂದ ವಿಷಯವನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ನೀವು ಕನಿಷ್ಠ ಒಂದು ಆವೃತ್ತಿಯ ನೋಟ್ಬುಕ್ (PyTorch ಅಥವಾ TensorFlow) ಓದಬೇಕು.
|
||||
* ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ Jupyter ನೋಟ್ಬುಕ್ಗಳು, ಸಾಮಾನ್ಯವಾಗಿ ಫ್ರೇಮ್ವರ್ಕ್ (**PyTorch** ಅಥವಾ **TensorFlow**) ಗೆ ವಿಶೇಷವಾಗಿರುತ್ತವೆ. ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ ನೋಟ್ಬುಕ್ಗಳಲ್ಲಿ ಸಾಕಷ್ಟು ಸಿದ್ಧಾಂತ ವಸ್ತುಗಳೂ ಇರುತ್ತವೆ, ಆದ್ದರಿಂದ ವಿಷಯವನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ನೀವು ಕನಿಷ್ಠ ಒಂದು ಆವೃತ್ತಿಯ ನೋಟ್ಬುಕ್ (PyTorch ಅಥವಾ TensorFlow) ಓದಬೇಕು.
|
||||
* **ಲ್ಯಾಬ್ಗಳು** ಕೆಲವು ವಿಷಯಗಳಿಗೆ ಲಭ್ಯವಿದ್ದು, ನೀವು ಕಲಿತ ವಸ್ತುವನ್ನು ನಿರ್ದಿಷ್ಟ ಸಮಸ್ಯೆಗೆ ಅನ್ವಯಿಸಲು ಪ್ರಯತ್ನಿಸಲು ಅವಕಾಶವನ್ನು ನೀಡುತ್ತವೆ.
|
||||
* ಕೆಲವು ವಿಭಾಗಗಳಲ್ಲಿ ಸಂಬಂಧಿತ ವಿಷಯಗಳನ್ನು ಒಳಗೊಂಡಿರುವ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ಮಾದರಿಗಳ ಲಿಂಕ್ಗಳು ಇವೆ.
|
||||
|
||||
## ಪ್ರಾರಂಭಿಸುತ್ತಿರುವುದು
|
||||
|
||||
### 🎯 AI ಗೆ ಹೊಸಬರಾ? ಇಲ್ಲಿ ಪ್ರಾರಂಭಿಸಿ!
|
||||
### 🎯 AI ಗೆ ಹೊಸದಾಗಿ? ಇಲ್ಲಿ ಪ್ರಾರಂಭಿಸಿ!
|
||||
|
||||
ನೀವು AI ಗೆ ಸಂಪೂರ್ಣ ಹೊಸಬರಾಗಿದ್ದರೆ ಮತ್ತು ತ್ವರಿತ, ಕೈಯಲ್ಲಿ ಮಾಡುವ ಉದಾಹರಣೆಗಳನ್ನು ಬಯಸಿದರೆ, ನಮ್ಮ [**ಪ್ರಾರಂಭಿಕ ಸ್ನೇಹಪರ ಉದಾಹರಣೆಗಳು**](./examples/README.md) ಅನ್ನು ಪರಿಶೀಲಿಸಿ! ಇದರಲ್ಲಿ ಸೇರಿವೆ:
|
||||
ನೀವು AI ಗೆ ಸಂಪೂರ್ಣ ಹೊಸಬರಾಗಿ, ತ್ವರಿತ, ಕೈಯಲ್ಲಿ ಮಾಡುವ ಉದಾಹರಣೆಗಳನ್ನು ಬಯಸಿದರೆ, ನಮ್ಮ [**ಪ್ರಾರಂಭಿಕ ಸ್ನೇಹಪರ ಉದಾಹರಣೆಗಳು**](./examples/README.md) ಅನ್ನು ಪರಿಶೀಲಿಸಿ! ಇದರಲ್ಲಿ ಸೇರಿವೆ:
|
||||
|
||||
- 🌟 **ಹೆಲೋ AI ವರ್ಲ್ಡ್** - ನಿಮ್ಮ ಮೊದಲ AI ಪ್ರೋಗ್ರಾಮ್ (ಪ್ಯಾಟರ್ನ್ ಗುರುತಿಸುವಿಕೆ)
|
||||
- 🧠 **ಸರಳ ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್** - ನೆಟ್ವರ್ಕ್ ಅನ್ನು ನೆಲೆಯಿಂದ ನಿರ್ಮಿಸಿ
|
||||
- 🌟 **ಹೆಲೋ AI ವರ್ಲ್ಡ್** - ನಿಮ್ಮ ಮೊದಲ AI ಪ್ರೋಗ್ರಾಮ್ (ನಮೂನೆ ಗುರುತಿಸುವಿಕೆ)
|
||||
- 🧠 **ಸರಳ ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್** - ನೆಟ್ವರ್ಕ್ ಅನ್ನು ಶೂನ್ಯದಿಂದ ನಿರ್ಮಿಸಿ
|
||||
- 🖼️ **ಇಮೇಜ್ ಕ್ಲಾಸಿಫೈಯರ್** - ಚಿತ್ರಗಳನ್ನು ವರ್ಗೀಕರಿಸಿ, ವಿವರವಾದ ಟಿಪ್ಪಣಿಗಳೊಂದಿಗೆ
|
||||
- 💬 **ಪಠ್ಯದ ಭಾವನೆ** - ಪಾಸಿಟಿವ್/ನೆಗಟಿವ್ ಪಠ್ಯವನ್ನು ವಿಶ್ಲೇಷಿಸಿ
|
||||
- 💬 **ಪಠ್ಯ ಭಾವನೆ** - ಪಾಸಿಟಿವ್/ನೆಗಟಿವ್ ಪಠ್ಯವನ್ನು ವಿಶ್ಲೇಷಿಸಿ
|
||||
|
||||
ಈ ಉದಾಹರಣೆಗಳು ಸಂಪೂರ್ಣ ಪಠ್ಯಕ್ರಮಕ್ಕೆ ಮುನ್ನ AI ತತ್ವಗಳನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ನಿಮಗೆ ಸಹಾಯ ಮಾಡಲು ವಿನ್ಯಾಸಗೊಳಿಸಲಾಗಿದೆ.
|
||||
|
||||
### 📚 ಸಂಪೂರ್ಣ ಪಠ್ಯಕ್ರಮ ಸೆಟಪ್
|
||||
|
||||
- ನಿಮ್ಮ ಡೆವಲಪ್ಮೆಂಟ್ ಪರಿಸರವನ್ನು ಸೆಟಪ್ ಮಾಡಲು ಸಹಾಯ ಮಾಡಲು ನಾವು [ಸೆಟಪ್ ಪಾಠ](./lessons/0-course-setup/setup.md) ರಚಿಸಿದ್ದೇವೆ. - ಶಿಕ್ಷಕರಿಗಾಗಿ, ನಾವು [ಪಠ್ಯಕ್ರಮ ಸೆಟಪ್ ಪಾಠ](./lessons/0-course-setup/for-teachers.md) ರಚಿಸಿದ್ದೇವೆ!
|
||||
- [VSCode ಅಥವಾ Codepace ನಲ್ಲಿ ಕೋಡ್ ಅನ್ನು ಹೇಗೆ ರನ್ ಮಾಡುವುದು](./lessons/0-course-setup/how-to-run.md)
|
||||
- [VSCode ಅಥವಾ Codepace ನಲ್ಲಿ ಕೋಡ್ ರನ್ ಮಾಡುವ ವಿಧಾನ](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
ಈ ಹಂತಗಳನ್ನು ಅನುಸರಿಸಿ:
|
||||
|
||||
ರೆಪೊಸಿಟರಿಯನ್ನು ಫೋರ್ಕ್ ಮಾಡಿ: ಈ ಪುಟದ ಮೇಲ್ಭಾಗದ ಬಲಭಾಗದಲ್ಲಿ "Fork" ಬಟನ್ ಕ್ಲಿಕ್ ಮಾಡಿ.
|
||||
Repository ಅನ್ನು Fork ಮಾಡಿ: ಈ ಪುಟದ ಮೇಲ್ಭಾಗದ ಬಲಭಾಗದಲ್ಲಿ "Fork" ಬಟನ್ ಕ್ಲಿಕ್ ಮಾಡಿ.
|
||||
|
||||
ರೆಪೊಸಿಟರಿಯನ್ನು ಕ್ಲೋನ್ ಮಾಡಿ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Repository ಅನ್ನು Clone ಮಾಡಿ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
ಈ ರೆಪೊಸಿಟರಿಯನ್ನು ತಕ್ಷಣವೇ ಸುಲಭವಾಗಿ ಹುಡುಕಲು ಸ್ಟಾರ್ (🌟) ಮಾಡುವುದು ಮರೆಯಬೇಡಿ.
|
||||
ಈ repo ಅನ್ನು ತಕ್ಷಣವೇ ಸುಲಭವಾಗಿ ಹುಡುಕಲು ಸ್ಟಾರ್ (🌟) ಮಾಡುವುದು ಮರೆಯಬೇಡಿ.
|
||||
|
||||
## ಇತರ ಕಲಿಯುವವರನ್ನು ಭೇಟಿಯಾಗಿರಿ
|
||||
## ಇತರ ಕಲಿಯುವವರನ್ನು ಭೇಟಿಯಾಗಿ
|
||||
|
||||
ನಮ್ಮ [ಅಧಿಕೃತ AI ಡಿಸ್ಕಾರ್ಡ್ ಸರ್ವರ್](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ಗೆ ಸೇರಿ, ಈ ಕೋರ್ಸ್ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವ ಇತರ ಕಲಿಯುವವರನ್ನು ಭೇಟಿ ಮಾಡಿ ಮತ್ತು ನೆಟ್ವರ್ಕ್ ಮಾಡಿ, ಮತ್ತು ಬೆಂಬಲ ಪಡೆಯಿರಿ.
|
||||
|
||||
|
|
@ -146,11 +146,11 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
|
||||
## ಕ್ವಿಜ್ಗಳು
|
||||
|
||||
> **ಕ್ವಿಜ್ಗಳ ಬಗ್ಗೆ ಒಂದು ಟಿಪ್ಪಣಿ**: ಎಲ್ಲಾ ಕ್ವಿಜ್ಗಳು Quiz-app ಫೋಲ್ಡರ್ನ etc\quiz-app ನಲ್ಲಿ ಅಥವಾ [ಆನ್ಲೈನ್ ಇಲ್ಲಿ](https://ff-quizzes.netlify.app/) ಲಭ್ಯವಿದೆ. ಅವು ಪಾಠಗಳಲ್ಲಿ ಲಿಂಕ್ ಮಾಡಲ್ಪಟ್ಟಿವೆ. Quiz app ಅನ್ನು ಸ್ಥಳೀಯವಾಗಿ ಅಥವಾ Azure ಗೆ ಡಿಪ್ಲಾಯ್ ಮಾಡಬಹುದು; `quiz-app` ಫೋಲ್ಡರ್ನಲ್ಲಿನ ಸೂಚನೆಗಳನ್ನು ಅನುಸರಿಸಿ. ಅವುಗಳನ್ನು ಹಂತ ಹಂತವಾಗಿ ಸ್ಥಳೀಕರಿಸಲಾಗುತ್ತಿದೆ.
|
||||
> **ಕ್ವಿಜ್ಗಳ ಬಗ್ಗೆ ಒಂದು ಟಿಪ್ಪಣಿ**: ಎಲ್ಲಾ ಕ್ವಿಜ್ಗಳು Quiz-app ಫೋಲ್ಡರ್ನ etc\quiz-app ನಲ್ಲಿ ಅಥವಾ [ಇಲ್ಲಿ ಆನ್ಲೈನ್](https://ff-quizzes.netlify.app/) ಲಭ್ಯವಿವೆ. ಅವು ಪಾಠಗಳಲ್ಲಿ ಲಿಂಕ್ ಮಾಡಲ್ಪಟ್ಟಿವೆ. Quiz app ಅನ್ನು ಸ್ಥಳೀಯವಾಗಿ ಅಥವಾ Azure ಗೆ ಡಿಪ್ಲಾಯ್ ಮಾಡಬಹುದು; `quiz-app` ಫೋಲ್ಡರ್ನಲ್ಲಿನ ಸೂಚನೆಗಳನ್ನು ಅನುಸರಿಸಿ. ಅವುಗಳನ್ನು ಹಂತ ಹಂತವಾಗಿ ಸ್ಥಳೀಕರಿಸಲಾಗುತ್ತಿದೆ.
|
||||
|
||||
## ಸಹಾಯ ಬೇಕು
|
||||
|
||||
ನಿಮ್ಮ ಬಳಿ ಸಲಹೆಗಳು ಇದೆಯೇ ಅಥವಾ ವಾಕ್ಯಶುದ್ಧಿ ಅಥವಾ ಕೋಡ್ ದೋಷಗಳನ್ನು ಕಂಡುಹಿಡಿದಿದ್ದೀರಾ? ಒಂದು ಇಶ್ಯೂ ರೇಸ್ ಮಾಡಿ ಅಥವಾ ಪುಲ್ ರಿಕ್ವೆಸ್ಟ್ ರಚಿಸಿ.
|
||||
ನಿಮ್ಮ ಬಳಿ ಸಲಹೆಗಳು ಇದೆಯೇ ಅಥವಾ ವಾಕ್ಯಶುದ್ಧಿ ಅಥವಾ ಕೋಡ್ ದೋಷಗಳನ್ನು ಕಂಡುಹಿಡಿದಿದ್ದೀರಾ? ಒಂದು issue ರೇಸ್ ಮಾಡಿ ಅಥವಾ pull request ರಚಿಸಿ.
|
||||
|
||||
## ವಿಶೇಷ ಧನ್ಯವಾದಗಳು
|
||||
|
||||
|
|
@ -158,13 +158,19 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
* **🔥 ಸಂಪಾದಕ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 ಚಿತ್ರಕಲೆ ಚಿತ್ರಣಕಾರ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ ಕ್ವಿಜ್ ರಚನೆ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 ಮುಖ್ಯ ಸಹಯೋಗಿಗಳು:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 ಮುಖ್ಯ ಕೊಡುಗಾದವರು:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## ಇತರ ಪಠ್ಯಕ್ರಮಗಳು
|
||||
|
||||
ನಮ್ಮ ತಂಡ ಇತರ ಪಠ್ಯಕ್ರಮಗಳನ್ನು ಉತ್ಪಾದಿಸುತ್ತದೆ! ನೋಡಿ:
|
||||
|
||||
### Azure / Edge / MCP / ಏಜೆಂಟ್ಸ್
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -172,7 +178,7 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
|
||||
---
|
||||
|
||||
### ಜನರೇಟಿವ್ AI ಸರಣಿ
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -180,7 +186,7 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
|
||||
---
|
||||
|
||||
### ಮುಖ್ಯ ಕಲಿಕೆ
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -191,7 +197,7 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
|
||||
---
|
||||
|
||||
### ಕೋಪೈಲಟ್ ಸರಣಿ
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -209,6 +215,6 @@ _ಕ್ಲೌಡ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳಿಗೆ ಸೌಮ
|
|||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**ಅಸ್ವೀಕಾರ**:
|
||||
ಈ ದಸ್ತಾವೇಜು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ಶುದ್ಧತೆಯನ್ನು ಸಾಧಿಸಲು ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ, ದಯವಿಟ್ಟು ಗಮನಿಸಿ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ದೋಷಗಳು ಅಥವಾ ಅಸಡ್ಡೆಗಳು ಇರಬಹುದು. ಮೂಲ ಭಾಷೆಯಲ್ಲಿರುವ ಮೂಲ ದಸ್ತಾವೇಜು ಪ್ರಾಮಾಣಿಕ ಮೂಲವೆಂದು ಪರಿಗಣಿಸಬೇಕು. ಮಹತ್ವದ ಮಾಹಿತಿಗಾಗಿ, ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದವನ್ನು ಬಳಸುವ ಮೂಲಕ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ಅರ್ಥಗಳ ಅಥವಾ ತಪ್ಪು ವ್ಯಾಖ್ಯಾನಗಳ ಬಗ್ಗೆ ನಾವು ಹೊಣೆಗಾರರಲ್ಲ.
|
||||
**ಅಸಹ್ಯತೆ**:
|
||||
ಈ ದಸ್ತಾವೇಜನ್ನು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಯನ್ನು ಸಾಧಿಸಲು ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ, ದಯವಿಟ್ಟು ಗಮನಿಸಿ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ದೋಷಗಳು ಅಥವಾ ಅಸಮರ್ಪಕತೆಗಳು ಇರಬಹುದು. ಮೂಲ ಭಾಷೆಯಲ್ಲಿರುವ ಮೂಲ ದಸ್ತಾವೇಜನ್ನು ಪ್ರಾಮಾಣಿಕ ಮೂಲವೆಂದು ಪರಿಗಣಿಸಬೇಕು. ಪ್ರಮುಖ ಮಾಹಿತಿಗಾಗಿ, ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪುಅರ್ಥಗಳು ಅಥವಾ ತಪ್ಪುಅರ್ಥೈಸುವಿಕೆಗೆ ನಾವು ಹೊಣೆಗಾರರಲ್ಲ.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:25:14+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:09:34+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ko"
|
||||
}
|
||||
|
|
@ -25,7 +25,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| 초보자를 위한 인공지능 - _스케치노트 by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| 초보자를 위한 인공지능 - _스케치노트: [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**인공지능**(AI)의 세계를 12주, 24강의 커리큘럼으로 탐험해보세요! 실습 강의, 퀴즈, 실험실이 포함되어 있습니다. 이 커리큘럼은 초보자도 쉽게 따라올 수 있으며, TensorFlow와 PyTorch 같은 도구와 AI 윤리도 다룹니다.
|
||||
|
||||
|
|
@ -34,10 +34,10 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
#### GitHub Action을 통한 지원 (자동화 및 항상 최신 상태 유지)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[아랍어](../ar/README.md) | [벵골어](../bn/README.md) | [불가리아어](../bg/README.md) | [버마어 (미얀마)](../my/README.md) | [중국어 (간체)](../zh/README.md) | [중국어 (번체, 홍콩)](../hk/README.md) | [중국어 (번체, 마카오)](../mo/README.md) | [중국어 (번체, 대만)](../tw/README.md) | [크로아티아어](../hr/README.md) | [체코어](../cs/README.md) | [덴마크어](../da/README.md) | [네덜란드어](../nl/README.md) | [에스토니아어](../et/README.md) | [핀란드어](../fi/README.md) | [프랑스어](../fr/README.md) | [독일어](../de/README.md) | [그리스어](../el/README.md) | [히브리어](../he/README.md) | [힌디어](../hi/README.md) | [헝가리어](../hu/README.md) | [인도네시아어](../id/README.md) | [이탈리아어](../it/README.md) | [일본어](../ja/README.md) | [칸나다어](../kn/README.md) | [한국어](./README.md) | [리투아니아어](../lt/README.md) | [말레이어](../ms/README.md) | [말라얄람어](../ml/README.md) | [마라티어](../mr/README.md) | [네팔어](../ne/README.md) | [나이지리아 피진어](../pcm/README.md) | [노르웨이어](../no/README.md) | [페르시아어 (파르시)](../fa/README.md) | [폴란드어](../pl/README.md) | [포르투갈어 (브라질)](../br/README.md) | [포르투갈어 (포르투갈)](../pt/README.md) | [펀자브어 (구르무키)](../pa/README.md) | [루마니아어](../ro/README.md) | [러시아어](../ru/README.md) | [세르비아어 (키릴)](../sr/README.md) | [슬로바키아어](../sk/README.md) | [슬로베니아어](../sl/README.md) | [스페인어](../es/README.md) | [스와힐리어](../sw/README.md) | [스웨덴어](../sv/README.md) | [타갈로그어 (필리핀)](../tl/README.md) | [타밀어](../ta/README.md) | [텔루구어](../te/README.md) | [태국어](../th/README.md) | [터키어](../tr/README.md) | [우크라이나어](../uk/README.md) | [우르두어](../ur/README.md) | [베트남어](../vi/README.md)
|
||||
[아랍어](../ar/README.md) | [벵골어](../bn/README.md) | [불가리아어](../bg/README.md) | [버마어 (미얀마)](../my/README.md) | [중국어 (간체)](../zh/README.md) | [중국어 (번체, 홍콩)](../hk/README.md) | [중국어 (번체, 마카오)](../mo/README.md) | [중국어 (번체, 대만)](../tw/README.md) | [크로아티아어](../hr/README.md) | [체코어](../cs/README.md) | [덴마크어](../da/README.md) | [네덜란드어](../nl/README.md) | [에스토니아어](../et/README.md) | [핀란드어](../fi/README.md) | [프랑스어](../fr/README.md) | [독일어](../de/README.md) | [그리스어](../el/README.md) | [히브리어](../he/README.md) | [힌디어](../hi/README.md) | [헝가리어](../hu/README.md) | [인도네시아어](../id/README.md) | [이탈리아어](../it/README.md) | [일본어](../ja/README.md) | [칸나다어](../kn/README.md) | [한국어](./README.md) | [리투아니아어](../lt/README.md) | [말레이어](../ms/README.md) | [말라얄람어](../ml/README.md) | [마라티어](../mr/README.md) | [네팔어](../ne/README.md) | [나이지리아 피진어](../pcm/README.md) | [노르웨이어](../no/README.md) | [페르시아어 (파르시)](../fa/README.md) | [폴란드어](../pl/README.md) | [포르투갈어 (브라질)](../br/README.md) | [포르투갈어 (포르투갈)](../pt/README.md) | [펀자브어 (구르무키)](../pa/README.md) | [루마니아어](../ro/README.md) | [러시아어](../ru/README.md) | [세르비아어 (키릴)](../sr/README.md) | [슬로바키아어](../sk/README.md) | [슬로베니아어](../sl/README.md) | [스페인어](../es/README.md) | [스와힐리어](../sw/README.md) | [스웨덴어](../sv/README.md) | [타갈로그어 (필리핀어)](../tl/README.md) | [타밀어](../ta/README.md) | [텔루구어](../te/README.md) | [태국어](../th/README.md) | [터키어](../tr/README.md) | [우크라이나어](../uk/README.md) | [우르두어](../ur/README.md) | [베트남어](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**추가 번역을 원하시면 [여기](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)에 지원 언어 목록이 있습니다.**
|
||||
**추가 번역을 원하시면 [여기](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)에서 지원 언어를 확인하세요.**
|
||||
|
||||
## 커뮤니티에 참여하세요
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,23 +48,23 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
이 커리큘럼에서 배우게 될 내용:
|
||||
|
||||
* **지식 표현**과 추론을 포함한 "고전적인" 상징적 접근법([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))을 포함한 다양한 인공지능 접근법.
|
||||
* **지식 표현**과 추론을 포함한 "고전적" 상징적 접근법([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))을 포함한 다양한 인공지능 접근법.
|
||||
* 현대 AI의 핵심인 **신경망**과 **딥러닝**. 이 중요한 주제의 개념을 [TensorFlow](http://Tensorflow.org)와 [PyTorch](http://pytorch.org)라는 두 가지 인기 있는 프레임워크의 코드를 사용해 설명합니다.
|
||||
* 이미지와 텍스트 작업을 위한 **신경 아키텍처**. 최신 모델을 다루지만, 최첨단 기술에 대한 내용은 다소 부족할 수 있습니다.
|
||||
* 이미지와 텍스트 작업을 위한 **신경 아키텍처**. 최신 모델을 다루지만 최첨단 기술은 다소 부족할 수 있습니다.
|
||||
* **유전 알고리즘**과 **다중 에이전트 시스템**과 같은 덜 알려진 AI 접근법.
|
||||
|
||||
이 커리큘럼에서 다루지 않는 내용:
|
||||
|
||||
> [이 과정의 추가 자료는 Microsoft Learn 컬렉션에서 확인하세요](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **비즈니스에서 AI 활용** 사례. Microsoft Learn의 [비즈니스 사용자를 위한 AI 소개](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 학습 경로나 [AI 비즈니스 스쿨](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)을 참고하세요. 이 과정은 [INSEAD](https://www.insead.edu/)와 협력하여 개발되었습니다.
|
||||
* **고전적인 머신러닝**, 이는 [초보자를 위한 머신러닝 커리큘럼](http://github.com/Microsoft/ML-for-Beginners)에 잘 설명되어 있습니다.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**를 사용하여 구축된 실질적인 AI 응용 프로그램. 이를 위해 Microsoft Learn의 [비전](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [자연어 처리](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service를 활용한 생성 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 등의 모듈을 시작점으로 추천합니다.
|
||||
* [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), 또는 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)와 같은 특정 ML **클라우드 프레임워크**. [Azure Machine Learning을 사용하여 AI 솔루션 구축 및 운영](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 및 [Azure Databricks를 사용하여 머신러닝 솔루션 구축 및 운영](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 학습 경로를 참고하세요.
|
||||
* **대화형 AI** 및 **챗봇**. 별도의 [대화형 AI 솔루션 만들기](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 학습 경로가 있으며, [이 블로그 게시물](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)에서 더 자세한 내용을 확인할 수 있습니다.
|
||||
* **비즈니스에서 AI 활용** 사례. Microsoft Learn의 [비즈니스 사용자를 위한 AI 소개](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 학습 경로나 [AI 비즈니스 스쿨](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)을 참고하세요. 이는 [INSEAD](https://www.insead.edu/)와 협력하여 개발되었습니다.
|
||||
* **고전적 머신러닝**. 이는 [초보자를 위한 머신러닝 커리큘럼](http://github.com/Microsoft/ML-for-Beginners)에 잘 설명되어 있습니다.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**를 사용하여 구축된 실용적인 AI 응용 프로그램. 이를 위해 Microsoft Learn의 [비전](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [자연어 처리](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service를 활용한 생성 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 모듈을 시작으로 학습을 추천합니다.
|
||||
* 특정 ML **클라우드 프레임워크**, 예: [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), 또는 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Azure Machine Learning을 사용한 머신러닝 솔루션 구축 및 운영](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 및 [Azure Databricks를 사용한 머신러닝 솔루션 구축 및 운영](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 학습 경로를 고려하세요.
|
||||
* **대화형 AI** 및 **챗봇**. 별도의 [대화형 AI 솔루션 만들기](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 학습 경로가 있으며, [이 블로그 게시물](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)에서 더 자세히 확인할 수 있습니다.
|
||||
* 딥러닝의 **심화 수학**. 이를 위해 Ian Goodfellow, Yoshua Bengio, Aaron Courville의 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)을 추천합니다. 이 책은 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)에서도 온라인으로 이용할 수 있습니다.
|
||||
|
||||
클라우드에서 _AI_를 다루는 주제에 대한 간단한 소개를 원하시면 [Azure에서 인공지능 시작하기](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 학습 경로를 참고하세요.
|
||||
클라우드에서 _AI_를 다루는 주제에 대한 간단한 소개를 원하시면 [Azure에서 인공지능 시작하기](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 학습 경로를 고려해보세요.
|
||||
|
||||
# 콘텐츠
|
||||
|
||||
|
|
@ -92,7 +92,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 14 | [의미론적 단어 임베딩. Word2Vec와 GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [언어 모델링. 자체 임베딩 훈련](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [실습](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [순환 신경망](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [생성적 순환 신경망](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [실습](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [생성적 순환 네트워크](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [실습](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [트랜스포머. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [개체명 인식](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [실습](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [대형 언어 모델, 프롬프트 프로그래밍 및 소수 샷 작업](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
|
|
@ -108,8 +108,8 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
## 각 강의에는 다음이 포함됩니다
|
||||
|
||||
* 사전 학습 자료
|
||||
* 실행 가능한 Jupyter 노트북, 주로 프레임워크(**PyTorch** 또는 **TensorFlow**)에 따라 다릅니다. 실행 가능한 노트북에는 많은 이론적 내용도 포함되어 있으므로 주제를 이해하려면 노트북 버전 중 하나(Pytorch 또는 TensorFlow)를 반드시 학습해야 합니다.
|
||||
* **실습**은 일부 주제에서 제공되며, 학습한 내용을 특정 문제에 적용해 볼 수 있는 기회를 제공합니다.
|
||||
* 실행 가능한 Jupyter 노트북 (주로 **PyTorch** 또는 **TensorFlow** 프레임워크에 맞춤). 실행 가능한 노트북에는 많은 이론적 내용도 포함되어 있으므로, 주제를 이해하려면 노트북 버전 중 하나(Pytorch 또는 TensorFlow)를 반드시 학습해야 합니다.
|
||||
* **실습**은 일부 주제에서 제공되며, 학습한 내용을 특정 문제에 적용해 볼 기회를 제공합니다.
|
||||
* 일부 섹션에는 관련 주제를 다루는 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 모듈 링크가 포함되어 있습니다.
|
||||
|
||||
## 시작하기
|
||||
|
|
@ -118,7 +118,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
AI가 처음이고 빠르고 실습 가능한 예제를 원한다면 [**초보자 친화적인 예제**](./examples/README.md)를 확인하세요! 여기에는 다음이 포함됩니다:
|
||||
|
||||
- 🌟 **Hello AI World** - 첫 번째 AI 프로그램(패턴 인식)
|
||||
- 🌟 **Hello AI World** - 첫 번째 AI 프로그램 (패턴 인식)
|
||||
- 🧠 **간단한 신경망** - 신경망을 처음부터 만들어보기
|
||||
- 🖼️ **이미지 분류기** - 자세한 주석과 함께 이미지를 분류하기
|
||||
- 💬 **텍스트 감정 분석** - 긍정/부정 텍스트 분석
|
||||
|
|
@ -136,7 +136,7 @@ AI가 처음이고 빠르고 실습 가능한 예제를 원한다면 [**초보
|
|||
|
||||
저장소 클론: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
이 저장소를 나중에 쉽게 찾을 수 있도록 별(🌟)을 잊지 말고 추가하세요.
|
||||
나중에 쉽게 찾을 수 있도록 이 저장소에 별(🌟)을 추가하는 것을 잊지 마세요.
|
||||
|
||||
## 다른 학습자들과 만나기
|
||||
|
||||
|
|
@ -146,7 +146,7 @@ AI가 처음이고 빠르고 실습 가능한 예제를 원한다면 [**초보
|
|||
|
||||
## 퀴즈
|
||||
|
||||
> **퀴즈에 대한 참고 사항**: 모든 퀴즈는 etc\quiz-app의 Quiz-app 폴더에 포함되어 있으며, [온라인에서도 이용 가능](https://ff-quizzes.netlify.app/)합니다. 퀴즈는 레슨 내에서 링크되어 있으며, 로컬에서 실행하거나 Azure에 배포할 수 있습니다. `quiz-app` 폴더의 지침을 따르세요. 퀴즈는 점차적으로 현지화되고 있습니다.
|
||||
> **퀴즈에 대한 참고 사항**: 모든 퀴즈는 etc\quiz-app 폴더의 Quiz-app 폴더에 포함되어 있으며, [온라인에서도 이용 가능](https://ff-quizzes.netlify.app/)합니다. 퀴즈는 레슨 내에서 링크되어 있으며, 로컬에서 실행하거나 Azure에 배포할 수 있습니다. `quiz-app` 폴더의 지침을 따르세요. 퀴즈는 점차적으로 현지화되고 있습니다.
|
||||
|
||||
## 도움 요청
|
||||
|
||||
|
|
@ -164,7 +164,13 @@ AI가 처음이고 빠르고 실습 가능한 예제를 원한다면 [**초보
|
|||
|
||||
우리 팀은 다른 커리큘럼도 제작합니다! 확인해보세요:
|
||||
|
||||
### Azure / Edge / MCP / 에이전트
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ AI가 처음이고 빠르고 실습 가능한 예제를 원한다면 [**초보
|
|||
|
||||
## 도움 받기
|
||||
|
||||
AI 앱을 구축하다가 막히거나 질문이 있다면, MCP에 대해 논의하는 학습자 및 경험 많은 개발자들과 함께하세요. 질문을 환영하고 지식을 자유롭게 공유하는 지원적인 커뮤니티입니다.
|
||||
AI 앱을 빌드하다가 막히거나 질문이 있다면, MCP에 대한 토론에 참여하세요. 이곳은 질문을 환영하고 지식을 자유롭게 공유하는 지원적인 커뮤니티입니다.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ AI 앱을 구축하다가 막히거나 질문이 있다면, MCP에 대해 논의
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**면책 조항**:
|
||||
이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하고 있지만, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서의 원어를 권위 있는 출처로 간주해야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 책임지지 않습니다.
|
||||
이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 노력하고 있지만, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서를 해당 언어로 작성된 상태에서 권위 있는 자료로 간주해야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 당사는 책임을 지지 않습니다.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,85 +1,85 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:27:33+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:03:54+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "lt"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Dirbtinis intelektas pradedantiesiems - Mokymo programa
|
||||
# Dirbtinis intelektas pradedantiesiems - Mokymo programa
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| Dirbtinis intelektas pradedantiesiems - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| Dirbtinis intelektas pradedantiesiems - _Sketchnote sukūrė [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Atraskite **Dirbtinio intelekto** (DI) pasaulį su mūsų 12 savaičių, 24 pamokų mokymo programa! Ji apima praktines pamokas, testus ir laboratorijas. Mokymo programa yra pritaikyta pradedantiesiems ir apima tokias priemones kaip TensorFlow ir PyTorch, taip pat DI etiką.
|
||||
Atraskite **Dirbtinio intelekto** (DI) pasaulį su mūsų 12 savaičių, 24 pamokų mokymo programa! Ji apima praktines pamokas, testus ir laboratorijas. Mokymo programa pritaikyta pradedantiesiems ir apima tokias priemones kaip TensorFlow ir PyTorch, taip pat DI etiką.
|
||||
|
||||
### 🌐 Daugiakalbė parama
|
||||
### 🌐 Daugiakalbė parama
|
||||
|
||||
#### Palaikoma per GitHub Action (Automatizuota ir visada atnaujinta)
|
||||
#### Palaikoma per GitHub Action (Automatizuota ir visada atnaujinta)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabų](../ar/README.md) | [Bengalų](../bn/README.md) | [Bulgarų](../bg/README.md) | [Birmos (Mianmaras)](../my/README.md) | [Kinų (supaprastinta)](../zh/README.md) | [Kinų (tradicinė, Honkongas)](../hk/README.md) | [Kinų (tradicinė, Makao)](../mo/README.md) | [Kinų (tradicinė, Taivanas)](../tw/README.md) | [Kroatų](../hr/README.md) | [Čekų](../cs/README.md) | [Danų](../da/README.md) | [Olandų](../nl/README.md) | [Estų](../et/README.md) | [Suomių](../fi/README.md) | [Prancūzų](../fr/README.md) | [Vokiečių](../de/README.md) | [Graikų](../el/README.md) | [Hebrajų](../he/README.md) | [Hindi](../hi/README.md) | [Vengrų](../hu/README.md) | [Indoneziečių](../id/README.md) | [Italų](../it/README.md) | [Japonų](../ja/README.md) | [Kanadų](../kn/README.md) | [Korėjiečių](../ko/README.md) | [Lietuvių](./README.md) | [Malajų](../ms/README.md) | [Malajalių](../ml/README.md) | [Maratų](../mr/README.md) | [Nepalų](../ne/README.md) | [Nigerijos pidžinas](../pcm/README.md) | [Norvegų](../no/README.md) | [Persų (farsi)](../fa/README.md) | [Lenkų](../pl/README.md) | [Portugalų (Brazilija)](../br/README.md) | [Portugalų (Portugalija)](../pt/README.md) | [Pandžabų (Gurmukhi)](../pa/README.md) | [Rumunų](../ro/README.md) | [Rusų](../ru/README.md) | [Serbų (kirilica)](../sr/README.md) | [Slovakų](../sk/README.md) | [Slovėnų](../sl/README.md) | [Ispanų](../es/README.md) | [Svahilių](../sw/README.md) | [Švedų](../sv/README.md) | [Tagalogų (Filipinų)](../tl/README.md) | [Tamilų](../ta/README.md) | [Telugų](../te/README.md) | [Tajų](../th/README.md) | [Turkų](../tr/README.md) | [Ukrainiečių](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamiečių](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabų](../ar/README.md) | [Bengalų](../bn/README.md) | [Bulgarų](../bg/README.md) | [Birmos (Mianmaras)](../my/README.md) | [Kinų (supaprastinta)](../zh/README.md) | [Kinų (tradicinė, Honkongas)](../hk/README.md) | [Kinų (tradicinė, Makao)](../mo/README.md) | [Kinų (tradicinė, Taivanas)](../tw/README.md) | [Kroatų](../hr/README.md) | [Čekų](../cs/README.md) | [Danų](../da/README.md) | [Olandų](../nl/README.md) | [Estų](../et/README.md) | [Suomių](../fi/README.md) | [Prancūzų](../fr/README.md) | [Vokiečių](../de/README.md) | [Graikų](../el/README.md) | [Hebrajų](../he/README.md) | [Hindi](../hi/README.md) | [Vengrų](../hu/README.md) | [Indoneziečių](../id/README.md) | [Italų](../it/README.md) | [Japonų](../ja/README.md) | [Kanadų](../kn/README.md) | [Korėjiečių](../ko/README.md) | [Lietuvių](./README.md) | [Malajų](../ms/README.md) | [Malajalių](../ml/README.md) | [Maratų](../mr/README.md) | [Nepalų](../ne/README.md) | [Nigerijos pidžinas](../pcm/README.md) | [Norvegų](../no/README.md) | [Persų (farsi)](../fa/README.md) | [Lenkų](../pl/README.md) | [Portugalų (Brazilija)](../br/README.md) | [Portugalų (Portugalija)](../pt/README.md) | [Pandžabų (gurmukhi)](../pa/README.md) | [Rumunų](../ro/README.md) | [Rusų](../ru/README.md) | [Serbų (kirilica)](../sr/README.md) | [Slovakų](../sk/README.md) | [Slovėnų](../sl/README.md) | [Ispanų](../es/README.md) | [Svahilių](../sw/README.md) | [Švedų](../sv/README.md) | [Tagalogų (filipiniečių)](../tl/README.md) | [Tamilų](../ta/README.md) | [Telugų](../te/README.md) | [Tajų](../th/README.md) | [Turkų](../tr/README.md) | [Ukrainiečių](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamiečių](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jei norite pridėti papildomų vertimų, palaikomos kalbos yra išvardytos [čia](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jei norite, kad būtų palaikomos papildomos kalbos, sąrašą rasite [čia](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Prisijunkite prie bendruomenės
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Prisijunkite prie bendruomenės
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Ką išmoksite
|
||||
## Ką išmoksite
|
||||
|
||||
**[Kurso minčių žemėlapis](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Kurso minčių žemėlapis](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Šioje mokymo programoje išmoksite:
|
||||
Šioje mokymo programoje išmoksite:
|
||||
|
||||
* Skirtingų požiūrių į Dirbtinį intelektą, įskaitant „seną gerą“ simbolinį požiūrį su **Žinių atvaizdavimu** ir samprotavimu ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuroninius tinklus** ir **Gilusis mokymasis**, kurie yra šiuolaikinio DI pagrindas. Šias svarbias temas iliustruosime kodu, naudodami du populiariausius karkasus - [TensorFlow](http://Tensorflow.org) ir [PyTorch](http://pytorch.org).
|
||||
* **Neuronines architektūras**, skirtas darbui su vaizdais ir tekstu. Aptarsime naujausius modelius, tačiau gali trūkti pačių pažangiausių.
|
||||
* Mažiau populiarius DI metodus, tokius kaip **Genetiniai algoritmai** ir **Daugiaveiksmės sistemos**.
|
||||
* Skirtingų požiūrių į Dirbtinį intelektą, įskaitant „senąjį gerąjį“ simbolinį požiūrį su **Žinių atvaizdavimu** ir samprotavimu ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neuroninius tinklus** ir **Gilusis mokymasis**, kurie yra šiuolaikinio DI pagrindas. Šių svarbių temų koncepcijas iliustruosime naudodami kodą dviejuose populiariausiuose karkasuose - [TensorFlow](http://Tensorflow.org) ir [PyTorch](http://pytorch.org).
|
||||
* **Neuronines architektūras**, skirtas darbui su vaizdais ir tekstu. Aptarsime naujausius modelius, tačiau gali trūkti pačių pažangiausių.
|
||||
* Mažiau populiarius DI metodus, tokius kaip **Genetiniai algoritmai** ir **Daugiaveiksmės sistemos**.
|
||||
|
||||
Ko neapimsime šioje mokymo programoje:
|
||||
Ko neaptarsime šioje mokymo programoje:
|
||||
|
||||
> [Visus papildomus šio kurso išteklius rasite mūsų Microsoft Learn kolekcijoje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Visus papildomus šio kurso išteklius rasite mūsų Microsoft Learn kolekcijoje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Verslo atvejų, kaip naudoti **DI versle**. Apsvarstykite galimybę pasirinkti [Įvadas į DI verslo vartotojams](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelią Microsoft Learn arba [DI verslo mokyklą](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sukurtą bendradarbiaujant su [INSEAD](https://www.insead.edu/).
|
||||
* **Klasikinis mašininis mokymasis**, kuris gerai aprašytas mūsų [Mašininio mokymosi pradedantiesiems mokymo programoje](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktinės DI programos, sukurtos naudojant **[Kognityvines paslaugas](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Tam rekomenduojame pradėti nuo Microsoft Learn modulių, skirtų [vaizdams](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natūralios kalbos apdorojimui](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatyvusis DI su Azure OpenAI paslauga](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ir kitais.
|
||||
* Specifinius ML **Debesų karkasus**, tokius kaip [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ar [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Apsvarstykite galimybę naudoti [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ir [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelius.
|
||||
* **Pokalbių DI** ir **Pokalbių robotus**. Yra atskiras [Kurti pokalbių DI sprendimus](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelias, taip pat galite pasinaudoti [šiuo tinklaraščio įrašu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dėl daugiau detalių.
|
||||
* **Giliąją matematiką**, susijusią su giliuoju mokymusi. Tam rekomenduojame [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) Ian Goodfellow, Yoshua Bengio ir Aaron Courville, kuri taip pat prieinama internete [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Verslo atvejus, kaip naudoti **DI versle**. Apsvarstykite galimybę mokytis [Įvadas į DI verslo vartotojams](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) mokymo kelią Microsoft Learn arba [DI verslo mokykla](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sukurtą bendradarbiaujant su [INSEAD](https://www.insead.edu/).
|
||||
* **Klasikinis mašininis mokymasis**, kuris puikiai aprašytas mūsų [Mašininio mokymosi pradedantiesiems mokymo programoje](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktinės DI programos, sukurtos naudojant **[Kognityvines paslaugas](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Tam rekomenduojame pradėti nuo Microsoft Learn modulių, skirtų [vaizdams](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natūralios kalbos apdorojimui](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatyvusis DI su Azure OpenAI paslauga](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ir kitiems.
|
||||
* Specifinius ML **Debesų karkasus**, tokius kaip [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) arba [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Apsvarstykite galimybę naudoti [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ir [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) mokymo kelius.
|
||||
* **Pokalbių DI** ir **Pokalbių robotus**. Yra atskiras [Kurti pokalbių DI sprendimus](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) mokymo kelias, taip pat galite pasinaudoti [šiuo tinklaraščio įrašu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) norėdami sužinoti daugiau.
|
||||
* **Giliąją matematiką**, susijusią su giliuoju mokymusi. Tam rekomenduojame [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) Ian Goodfellow, Yoshua Bengio ir Aaron Courville, kuri taip pat prieinama internete [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Norėdami švelniai pradėti su _DI debesyje_ temomis, galite apsvarstyti galimybę pasirinkti [Pradėti su dirbtiniu intelektu Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelią.
|
||||
Norėdami švelniai pradėti su _DI debesyje_ temomis, galite apsvarstyti galimybę mokytis [Pradėti dirbtinio intelekto naudojimą Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) mokymo kelią.
|
||||
|
||||
# Turinys
|
||||
# Turinys
|
||||
|
||||
| | Pamokos nuoroda | PyTorch/Keras/TensorFlow | Laboratorija |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurso nustatymas](./lessons/0-course-setup/setup.md) | [Nustatykite savo kūrimo aplinką](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Įvadas į DI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Įvadas ir DI istorija](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolinis DI** |
|
||||
| 02 | [Žinių atvaizdavimas ir ekspertų sistemos](./lessons/2-Symbolic/README.md) | [Ekspertų sistemos](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Koncepcijų grafas](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Įvadas į neuroninius tinklus**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Pamokos nuoroda | PyTorch/Keras/TensorFlow | Laboratorija |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurso nustatymas](./lessons/0-course-setup/setup.md) | [Nustatykite savo kūrimo aplinką](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Įvadas į DI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Įvadas ir DI istorija](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolinis DI** |
|
||||
| 02 | [Žinių atvaizdavimas ir ekspertų sistemos](./lessons/2-Symbolic/README.md) | [Ekspertų sistemos](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Koncepcijų grafas](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Įvadas į neuroninius tinklus**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptronas](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Užrašų knygelė](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorinis darbas](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Daugiasluoksnis perceptronas ir savo karkaso kūrimas](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Užrašų knygelė](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorinis darbas](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Įvadas į karkasus (PyTorch/TensorFlow) ir permokymas](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorinis darbas](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Kompiuterinė rega**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tyrinėkite kompiuterinę regą „Microsoft Azure“](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| IV | [**Kompiuterinė rega**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tyrinėkite kompiuterinę regą Microsoft Azure platformoje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Įvadas į kompiuterinę regą. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Užrašų knygelė](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorinis darbas](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvoliuciniai neuroniniai tinklai](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN architektūros](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorinis darbas](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Iš anksto apmokyti tinklai ir perkėlimo mokymasis](./lessons/4-ComputerVision/08-TransferLearning/README.md) ir [Mokymo gudrybės](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorinis darbas](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
|
|
@ -87,18 +87,18 @@ Norėdami švelniai pradėti su _DI debesyje_ temomis, galite apsvarstyti galimy
|
|||
| 10 | [Generatyviniai priešiniai tinklai ir meninio stiliaus perkėlimas](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektų atpažinimas](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorinis darbas](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantinis segmentavimas. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Natūralios kalbos apdorojimas**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tyrinėkite natūralios kalbos apdorojimą „Microsoft Azure“](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Natūralios kalbos apdorojimas**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tyrinėkite natūralios kalbos apdorojimą Microsoft Azure platformoje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Teksto reprezentacija. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantiniai žodžių įterpimai. Word2Vec ir GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Kalbos modeliavimas. Savo įterpimų mokymas](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorinis darbas](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Semantiniai žodžių įterpiniai. Word2Vec ir GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Kalbos modeliavimas. Savo įterpinių mokymas](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorinis darbas](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Pasikartojantys neuroniniai tinklai](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatyviniai pasikartojantys tinklai](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorinis darbas](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformeriai. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Pavadintų objektų atpažinimas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorinis darbas](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Dideli kalbos modeliai, užklausų programavimas ir mažo pavyzdžio užduotys](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Dideli kalbos modeliai, užklausų programavimas ir mažų pavyzdžių užduotys](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Kitos DI technikos** || |
|
||||
| 21 | [Genetiniai algoritmai](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Užrašų knygelė](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Giluminis stiprinamasis mokymasis](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorinis darbas](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [Gilus pastiprinimo mokymasis](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorinis darbas](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Daugiaveiksmės sistemos](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **DI etika** | | |
|
||||
| 24 | [DI etika ir atsakingas DI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Atsakingo DI principai](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
|
|
@ -109,8 +109,8 @@ Norėdami švelniai pradėti su _DI debesyje_ temomis, galite apsvarstyti galimy
|
|||
|
||||
* Priešmokyklinę medžiagą
|
||||
* Vykdomas Jupyter užrašų knygeles, kurios dažnai yra pritaikytos konkrečiam karkasui (**PyTorch** arba **TensorFlow**). Vykdomoje užrašų knygelėje taip pat yra daug teorinės medžiagos, todėl norint suprasti temą, reikia peržiūrėti bent vieną užrašų knygelės versiją (arba PyTorch, arba TensorFlow).
|
||||
* **Laboratoriniai darbai**, prieinami kai kurioms temoms, suteikiantys galimybę pritaikyti išmoktą medžiagą konkrečiai problemai.
|
||||
* Kai kuriuose skyriuose yra nuorodos į [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulius, kurie apima susijusias temas.
|
||||
* **Laboratorinius darbus**, kurie yra prieinami kai kurioms temoms ir suteikia galimybę pritaikyti išmoktą medžiagą konkrečiai problemai spręsti.
|
||||
* Kai kurios dalys turi nuorodas į [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulius, kurie apima susijusias temas.
|
||||
|
||||
## Pradžia
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ Jei esate visiškai naujokas DI srityje ir norite greitų, praktinių pavyzdži
|
|||
|
||||
### 📚 Pilnos mokymo programos nustatymas
|
||||
|
||||
- Mes sukūrėme [nustatymo pamoką](./lessons/0-course-setup/setup.md), kuri padės jums paruošti jūsų kūrimo aplinką. - Mokytojams taip pat sukūrėme [mokymo programos nustatymo pamoką](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Mes sukūrėme [nustatymo pamoką](./lessons/0-course-setup/setup.md), kuri padės jums paruošti jūsų kūrimo aplinką. - Mokytojams mes taip pat sukūrėme [mokymo programos nustatymo pamoką](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kaip [paleisti kodą VSCode arba Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Sekite šiuos žingsnius:
|
||||
|
|
@ -136,13 +136,13 @@ Fork'inkite saugyklą: Spustelėkite "Fork" mygtuką viršutiniame dešiniajame
|
|||
|
||||
Klonuokite saugyklą: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nepamirškite pažymėti (🌟) šios saugyklos, kad vėliau ją lengviau rastumėte.
|
||||
Nepamirškite pažymėti (🌟) šios saugyklos, kad vėliau ją būtų lengviau rasti.
|
||||
|
||||
## Susipažinkite su kitais mokiniais
|
||||
|
||||
Prisijunkite prie mūsų [oficialaus AI Discord serverio](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kad susipažintumėte ir bendrautumėte su kitais mokiniais, kurie mokosi šio kurso, ir gautumėte pagalbos.
|
||||
Prisijunkite prie mūsų [oficialaus AI Discord serverio](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kad susipažintumėte ir bendrautumėte su kitais mokiniais, kurie mokosi šio kurso, ir gautumėte pagalbą.
|
||||
|
||||
Jei turite produktų atsiliepimų ar klausimų, susijusių su kūrimu, apsilankykite mūsų [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum).
|
||||
Jei turite produktų atsiliepimų ar klausimų, kol kuriate, apsilankykite mūsų [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Testai
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Turite pasiūlymų ar radote rašybos ar kodo klaidų? Sukurkite problemą arba
|
|||
|
||||
Mūsų komanda kuria ir kitas mokymo programas! Peržiūrėkite:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentai
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -210,5 +216,5 @@ Jei turite produktų atsiliepimų ar klaidų kūrimo metu, apsilankykite:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Atsakomybės apribojimas**:
|
||||
Šis dokumentas buvo išverstas naudojant AI vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors stengiamės užtikrinti tikslumą, prašome atkreipti dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Kritinei informacijai rekomenduojama naudoti profesionalų žmogaus vertimą. Mes neprisiimame atsakomybės už nesusipratimus ar klaidingus aiškinimus, atsiradusius dėl šio vertimo naudojimo.
|
||||
Šis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, atkreipkite dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Dėl svarbios informacijos rekomenduojama profesionali žmogaus vertimo paslauga. Mes neprisiimame atsakomybės už nesusipratimus ar klaidingus aiškinimus, kylančius dėl šio vertimo naudojimo.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:38:16+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:11:52+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ml"
|
||||
}
|
||||
|
|
@ -21,13 +21,13 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# തുടക്കക്കാർക്കുള്ള കൃത്രിമ ബുദ്ധി - ഒരു പാഠപദ്ധതി
|
||||
# തുടക്കക്കാർക്കുള്ള കൃത്രിമ ബുദ്ധി - ഒരു പാഠ്യപദ്ധതി
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| തുടക്കക്കാർക്കുള്ള AI - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**കൃത്രിമ ബുദ്ധിയുടെ** (AI) ലോകം 12 ആഴ്ചകളിലായി 24 പാഠങ്ങളടങ്ങിയ പാഠപദ്ധതിയിലൂടെ അന്വേഷിക്കൂ! ഇതിൽ പ്രായോഗിക പാഠങ്ങൾ, ക്വിസുകൾ, ലാബുകൾ എന്നിവ ഉൾപ്പെടുന്നു. ഈ പാഠപദ്ധതി തുടക്കക്കാർക്കായി രൂപകൽപ്പന ചെയ്തതാണ്, TensorFlow, PyTorch പോലുള്ള ഉപകരണങ്ങളും AI നൈതികതയും ഉൾക്കൊള്ളുന്നു.
|
||||
**കൃത്രിമ ബുദ്ധിയുടെ** (AI) ലോകം 12 ആഴ്ചകളിലായി 24 പാഠങ്ങളടങ്ങിയ പാഠ്യപദ്ധതിയിലൂടെ അന്വേഷിക്കൂ! ഇതിൽ പ്രായോഗിക പാഠങ്ങൾ, ക്വിസുകൾ, ലാബുകൾ എന്നിവ ഉൾപ്പെടുന്നു. ഈ പാഠ്യപദ്ധതി തുടക്കക്കാർക്കായി രൂപകൽപ്പന ചെയ്തതാണ്, TensorFlow, PyTorch പോലുള്ള ഉപകരണങ്ങളും AI നൈതികതയും ഉൾക്കൊള്ളുന്നു.
|
||||
|
||||
### 🌐 ബഹുഭാഷാ പിന്തുണ
|
||||
|
||||
|
|
@ -44,109 +44,109 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## നിങ്ങൾ പഠിക്കുന്നതെന്താണ്
|
||||
|
||||
**[പാഠപദ്ധതിയുടെ മൈൻഡ്മാപ്പ്](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[പാഠത്തിന്റെ മൈൻഡ്മാപ്പ്](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ഈ പാഠപദ്ധതിയിൽ നിങ്ങൾ പഠിക്കുന്നതെന്തെന്നാൽ:
|
||||
ഈ പാഠ്യപദ്ധതിയിൽ നിങ്ങൾ പഠിക്കുന്നതെന്താണെന്ന് നോക്കാം:
|
||||
|
||||
* **കൃത്രിമ ബുദ്ധിയുടെ** വിവിധ സമീപനങ്ങൾ, പ്രത്യേകിച്ച് **Knowledge Representation** ഉപയോഗിച്ച് "പഴയകാല" സിംബോളിക് സമീപനം ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **ന്യുറൽ നെറ്റ്വർക്കുകളും** **ഡീപ്പ് ലേണിംഗും**, ആധുനിക AIയുടെ മധ്യകേന്ദ്രം. ഈ പ്രധാന വിഷയങ്ങളുടെ ആശയങ്ങൾ [TensorFlow](http://Tensorflow.org)യും [PyTorch](http://pytorch.org)യും ഉപയോഗിച്ച് കോഡിൽ വിശദീകരിക്കും.
|
||||
* ചിത്രങ്ങളും ടെക്സ്റ്റും കൈകാര്യം ചെയ്യുന്നതിനുള്ള **ന്യുറൽ ആർക്കിടെക്ചറുകൾ**. ഏറ്റവും പുതിയ മോഡലുകൾ ഉൾക്കൊള്ളുന്നുവെങ്കിലും, ചിലപ്പോൾ ഏറ്റവും പുതിയ അവസ്ഥയിൽ കുറവായിരിക്കും.
|
||||
* **Genetic Algorithms** പോലുള്ള കുറച്ച് പ്രചാരമുള്ള AI സമീപനങ്ങളും **Multi-Agent Systems** പോലുള്ളവയും.
|
||||
* **കൃത്രിമ ബുദ്ധിയുടെ** വിവിധ സമീപനങ്ങൾ, പ്രത്യേകിച്ച് പഴയതായ **സിംബോളിക് സമീപനം** (Knowledge Representation) ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **ന്യുറൽ നെറ്റ്വർക്കുകളും** **ഡീപ്പ് ലേണിംഗും**, ആധുനിക AIയുടെ മധ്യകേന്ദ്രം. ഈ വിഷയങ്ങൾ [TensorFlow](http://Tensorflow.org)യും [PyTorch](http://pytorch.org)യും ഉപയോഗിച്ച് വിശദീകരിക്കുന്നു.
|
||||
* ചിത്രങ്ങളും ടെക്സ്റ്റും കൈകാര്യം ചെയ്യുന്നതിനുള്ള **ന്യുറൽ ആർക്കിടെക്ചറുകൾ**. ഏറ്റവും പുതിയ മോഡലുകൾ ഉൾക്കൊള്ളുന്നു, പക്ഷേ ചിലപ്പോൾ ഏറ്റവും പുതിയവയിൽ കുറവുണ്ടാകാം.
|
||||
* **ജനറ്റിക് ആൽഗോരിതങ്ങൾ**, **മൾട്ടി-ഏജന്റ് സിസ്റ്റങ്ങൾ** പോലുള്ള കുറച്ച് പ്രചാരമുള്ള AI സമീപനങ്ങൾ.
|
||||
|
||||
ഈ പാഠപദ്ധതിയിൽ ഉൾപ്പെടാത്തവ:
|
||||
ഈ പാഠ്യപദ്ധതിയിൽ ഉൾപ്പെടാത്തവ:
|
||||
|
||||
> [ഈ കോഴ്സിനുള്ള എല്ലാ അധിക വിഭവങ്ങളും Microsoft Learn ശേഖരത്തിൽ കണ്ടെത്തുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI ബിസിനസിൽ ഉപയോഗിക്കുന്ന ബിസിനസ് കേസുകൾ**. Microsoft Learn-ൽ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) പഠന പാത അല്ലെങ്കിൽ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) സഹകരിച്ച് വികസിപ്പിച്ചെടുത്തത് പരിഗണിക്കുക.
|
||||
* **ക്ലാസിക് മെഷീൻ ലേണിംഗ്**, ഇത് ഞങ്ങളുടെ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ൽ നന്നായി വിവരിച്ചിരിക്കുന്നു.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ഉപയോഗിച്ച് നിർമ്മിച്ച പ്രായോഗിക AI ആപ്ലിക്കേഷനുകൾ. ഇതിന്, Microsoft Learn-ൽ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** തുടങ്ങിയ മോഡ്യൂളുകൾ ഉപയോഗിച്ച് തുടങ്ങാൻ ശുപാർശ ചെയ്യുന്നു.
|
||||
* **Cloud Frameworks** പോലുള്ള പ്രത്യേക ML, [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), അല്ലെങ്കിൽ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) പഠന പാതയും [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) പഠന പാതയും ഉപയോഗിക്കുക.
|
||||
* **സംഭാഷണ AI**യും **ചാറ്റ് ബോട്ടുകളും**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) എന്ന പ്രത്യേക പഠന പാതയും കൂടുതൽ വിശദാംശങ്ങൾക്ക് [ഈ ബ്ലോഗ് പോസ്റ്റ്](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ഉം കാണുക.
|
||||
* **ഡീപ്പ് ലേണിംഗിന്റെ ഗണിതശാസ്ത്രം**. ഇതിന്, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ൽ ഓൺലൈനായി ലഭ്യമാണ്.
|
||||
* **ബിസിനസിൽ AI ഉപയോഗിക്കുന്ന ബിസിനസ് കേസുകൾ**. [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) കോഴ്സ് അല്ലെങ്കിൽ [AI ബിസിനസ് സ്കൂൾ](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) പരിഗണിക്കുക.
|
||||
* **ക്ലാസിക് മെഷീൻ ലേണിംഗ്**, ഇത് [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)ൽ വിശദീകരിച്ചിരിക്കുന്നു.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ഉപയോഗിച്ച് നിർമ്മിച്ച പ്രായോഗിക AI ആപ്ലിക്കേഷനുകൾ. [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** തുടങ്ങിയവയിൽ തുടങ്ങുക.
|
||||
* **Cloud Frameworks** പോലുള്ള പ്രത്യേക ML ഉപകരണങ്ങൾ, ഉദാ: [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), അല്ലെങ്കിൽ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **സംഭാഷണ AI**യും **ചാറ്റ് ബോട്ടുകളും**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) പാഠം പരിഗണിക്കുക.
|
||||
* **ഡീപ്പ് ലേണിംഗിന്റെ ഗണിതശാസ്ത്രം**. [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio, Aaron Courville എന്നിവരെ ശുപാർശ ചെയ്യുന്നു.
|
||||
|
||||
_ക്ലൗഡിലെ AI_ വിഷയങ്ങൾക്ക് സൗമ്യമായ പരിചയം നേടാൻ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) പഠന പാത പരിഗണിക്കുക.
|
||||
_Cloud AI_ വിഷയങ്ങൾക്ക് ഒരു സൗമ്യമായ പരിചയം ലഭിക്കാൻ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) പാഠം പരിഗണിക്കുക.
|
||||
|
||||
# ഉള്ളടക്കം
|
||||
|
||||
| | പാഠത്തിന്റെ ലിങ്ക് | PyTorch/Keras/TensorFlow | ലാബ് |
|
||||
| | പാഠം ലിങ്ക് | PyTorch/Keras/TensorFlow | ലാബ് |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [പാഠപദ്ധതി സജ്ജീകരണം](./lessons/0-course-setup/setup.md) | [നിങ്ങളുടെ ഡെവലപ്മെന്റ് പരിസ്ഥിതി സജ്ജീകരിക്കുക](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI-യിലേക്ക് പരിചയം**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI-യുടെ പരിചയം, ചരിത്രം](./lessons/1-Intro/README.md) | - | - |
|
||||
| 0 | [കോഴ്സ് സജ്ജീകരണം](./lessons/0-course-setup/setup.md) | [നിങ്ങളുടെ ഡെവലപ്മെന്റ് എൻവയോൺമെന്റ് സജ്ജീകരിക്കുക](./lessons/0-course-setup/how-to-run.md) | |
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| I | [**AI പരിചയം**](./lessons/1-Intro/README.md) | | |
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| 01 | [AIയുടെ പരിചയവും ചരിത്രവും](./lessons/1-Intro/README.md) | - | - |
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| II | **സിംബോളിക് AI** |
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| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
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| III | [**ന്യുറൽ നെറ്റ്വർക്കുകളിലേക്ക് പരിചയം**](./lessons/3-NeuralNetworks/README.md) |||
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| III | [**ന്യുറൽ നെറ്റ്വർക്കുകളുടെ പരിചയം**](./lessons/3-NeuralNetworks/README.md) |||
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| 03 | [പേഴ്സെപ്ട്രോൺ](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [നോട്ട്ബുക്ക്](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
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| 04 | [മൾട്ടി-ലെയർ പേഴ്സെപ്ട്രോൺ, നമ്മുടെ സ്വന്തം ഫ്രെയിംവർക്കിന്റെ നിർമ്മാണം](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [നോട്ട്ബുക്ക്](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
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| 05 | [ഫ്രെയിംവർക്കുകൾ (PyTorch/TensorFlow) പരിചയം, ഓവർഫിറ്റിംഗ്](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
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| 04 | [മൾട്ടി-ലെയർ പേഴ്സെപ്ട്രോൺ, Framework സൃഷ്ടിക്കൽ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [നോട്ട്ബുക്ക്](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
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| 05 | [Frameworks (PyTorch/TensorFlow) പരിചയം, Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
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| IV | [**കമ്പ്യൂട്ടർ വിഷൻ**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure-ൽ കമ്പ്യൂട്ടർ വിഷൻ എക്സ്പ്ലോർ ചെയ്യുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
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| 06 | [കമ്പ്യൂട്ടർ വിഷൻ പരിചയം. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [നോട്ട്ബുക്ക്](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ലാബ്](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
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| 07 | [കോൺവല്യൂഷണൽ ന്യൂറൽ നെറ്റ്വർക്കുകൾ](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ആർക്കിടെക്ചറുകൾ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
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| 08 | [പ്രി-ട്രെയിൻ ചെയ്ത നെറ്റ്വർക്കുകൾ, ട്രാൻസ്ഫർ ലേണിംഗ്](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [ട്രെയിനിംഗ് ട്രിക്സ്](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
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| 09 | [ഓട്ടോഎൻകോഡറുകൾ, VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
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| 10 | [ജനറേറ്റീവ് അഡ്വേഴ്സറിയൽ നെറ്റ്വർക്കുകൾ, ആർട്ടിസ്റ്റിക് സ്റ്റൈൽ ട്രാൻസ്ഫർ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
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| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ആർക്കിടെക്ചറുകൾ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
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| 08 | [Pre-trained Networks, Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
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| 09 | [Autoencoders, VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
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| 10 | [Generative Adversarial Networks, Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
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| 11 | [ഓബ്ജക്റ്റ് ഡിറ്റക്ഷൻ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ലാബ്](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
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| 12 | [സെമാന്റിക് സെഗ്മെന്റേഷൻ. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
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| V | [**നാചുറൽ ലാംഗ്വേജ് പ്രോസസ്സിംഗ്**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure-ൽ നാചുറൽ ലാംഗ്വേജ് പ്രോസസ്സിംഗ് എക്സ്പ്ലോർ ചെയ്യുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
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| 13 | [ടെക്സ്റ്റ് പ്രതിനിധാനം. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
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| 14 | [സെമാന്റിക് വേഡ് എംബെഡിംഗുകൾ. Word2Vec, GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
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| 15 | [ലാംഗ്വേജ് മോഡലിംഗ്. നിങ്ങളുടെ സ്വന്തം എംബെഡിംഗുകൾ ട്രെയിൻ ചെയ്യുക](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ലാബ്](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
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| 16 | [റികറന്റ് ന്യൂറൽ നെറ്റ്വർക്കുകൾ](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
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| 17 | [ജനറേറ്റീവ് റികറന്റ് നെറ്റ്വർക്കുകൾ](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ലാബ്](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
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| 18 | [ട്രാൻസ്ഫോർമേഴ്സ്. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
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| 19 | [നെയിംഡ് എന്റിറ്റി റെക്കഗ്നിഷൻ](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ലാബ്](./lessons/5-NLP/19-NER/lab/README.md) |
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| 20 | [ലാർജ് ലാംഗ്വേജ് മോഡലുകൾ, പ്രോംപ്റ്റ് പ്രോഗ്രാമിംഗ്, ഫ്യൂ ഷോട്ട് ടാസ്കുകൾ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
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| VI | **മറ്റുള്ള AI സാങ്കേതിക വിദ്യകൾ** || |
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| 14 | [സെമാന്റിക് വേഡ് എംബെഡ്ഡിംഗ്സ്. Word2Vec, GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
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| 15 | [ലാംഗ്വേജ് മോഡലിംഗ്. നിങ്ങളുടെ സ്വന്തം എംബെഡ്ഡിംഗ്സ് ട്രെയിൻ ചെയ്യുക](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ലാബ്](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
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| 16 | [റിക്കറന്റ് ന്യൂറൽ നെറ്റ്വർക്കുകൾ](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
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| 17 | [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ലാബ്](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
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| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
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| 19 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ലാബ്](./lessons/5-NLP/19-NER/lab/README.md) |
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| 20 | [വലിയ ഭാഷാ മോഡലുകൾ, പ്രോംപ്റ്റ് പ്രോഗ്രാമിംഗ്, Few-Shot ടാസ്കുകൾ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
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| VI | **മറ്റു AI സാങ്കേതികവിദ്യകൾ** || |
|
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| 21 | [ജനറ്റിക് ആൽഗോരിതങ്ങൾ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [നോട്ട്ബുക്ക്](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
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| 22 | [ഡീപ്പ് റീൻഫോഴ്സ്മെന്റ് ലേണിംഗ്](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ലാബ്](./lessons/6-Other/22-DeepRL/lab/README.md) |
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| 23 | [മൾട്ടി-എജന്റ് സിസ്റ്റങ്ങൾ](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
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| 22 | [ഡീപ് റീൻഫോഴ്സ്മെന്റ് ലേണിംഗ്](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ലാബ്](./lessons/6-Other/22-DeepRL/lab/README.md) |
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| 23 | [മൾട്ടി-ഏജന്റ് സിസ്റ്റങ്ങൾ](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
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| VII | **AI എതിക്സ്** | | |
|
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| 24 | [AI എതിക്സ്, ഉത്തരവാദിത്തമുള്ള AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: ഉത്തരവാദിത്ത AI പ്രിൻസിപ്പിളുകൾ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
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| IX | **അധികം** | | |
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| 25 | [മൾട്ടി-മോഡൽ നെറ്റ്വർക്കുകൾ, CLIP, VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [നോട്ട്ബുക്ക്](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
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| 24 | [AI എതിക്സ്, ഉത്തരവാദിത്വമുള്ള AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: ഉത്തരവാദിത്വമുള്ള AI പ്രിൻസിപ്പിളുകൾ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
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| IX | **അധികങ്ങൾ** | | |
|
||||
| 25 | [മൾട്ടി-മോഡൽ നെറ്റ്വർക്കുകൾ, CLIP, VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [നോട്ട്ബുക്ക്](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## ഓരോ പാഠവും ഉൾക്കൊള്ളുന്നു
|
||||
|
||||
* മുൻകൂർ വായനാ വസ്തുക്കൾ
|
||||
* പ്രവർത്തനക്ഷമമായ Jupyter നോട്ട്ബുക്കുകൾ, സാധാരണയായി **PyTorch** അല്ലെങ്കിൽ **TensorFlow** ഫ്രെയിംവർക്കിനോട് അനുബന്ധിച്ചവ. പ്രവർത്തനക്ഷമമായ നോട്ട്ബുക്കിൽ ധാരാളം സിദ്ധാന്തപരമായ വസ്തുക്കളും അടങ്ങിയിരിക്കുന്നു, അതിനാൽ വിഷയം മനസ്സിലാക്കാൻ നിങ്ങൾക്ക് കുറഞ്ഞത് ഒരു പതിപ്പ് (PyTorch അല്ലെങ്കിൽ TensorFlow) നോട്ട്ബുക്ക് പരിശോധിക്കേണ്ടതുണ്ട്.
|
||||
* **ലാബുകൾ** ചില വിഷയങ്ങൾക്ക് ലഭ്യമാണ്, നിങ്ങൾ പഠിച്ച വസ്തുക്കൾ ഒരു പ്രത്യേക പ്രശ്നത്തിൽ പ്രയോഗിക്കാൻ ശ്രമിക്കാനുള്ള അവസരം നൽകുന്നു.
|
||||
* ചില വിഭാഗങ്ങൾ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) മോഡ്യൂളുകളിലേക്ക് ലിങ്കുകൾ ഉൾക്കൊള്ളുന്നു, ബന്ധപ്പെട്ട വിഷയങ്ങൾ ഉൾക്കൊള്ളുന്നു.
|
||||
* മുൻകൂർ വായനാ മെറ്റീരിയൽ
|
||||
* പ്രവർത്തനക്ഷമമായ Jupyter നോട്ട്ബുക്കുകൾ, സാധാരണയായി **PyTorch** അല്ലെങ്കിൽ **TensorFlow**-നു പ്രത്യേകമായവ. പ്രവർത്തനക്ഷമമായ നോട്ട്ബുക്കിൽ ധാരാളം സിദ്ധാന്തപരമായ മെറ്റീരിയലുകളും അടങ്ങിയിരിക്കുന്നു, അതിനാൽ വിഷയം മനസ്സിലാക്കാൻ നിങ്ങൾക്ക് കുറഞ്ഞത് ഒരു പതിപ്പ് (PyTorch അല്ലെങ്കിൽ TensorFlow) വായിക്കേണ്ടതുണ്ട്.
|
||||
* ചില വിഷയങ്ങൾക്ക് **ലാബുകൾ** ലഭ്യമാണ്, നിങ്ങൾ പഠിച്ച മെറ്റീരിയൽ ഒരു പ്രത്യേക പ്രശ്നത്തിൽ പ്രയോഗിക്കാൻ ശ്രമിക്കാനുള്ള അവസരം നൽകുന്നു.
|
||||
* ചില വിഭാഗങ്ങളിൽ ബന്ധപ്പെട്ട വിഷയങ്ങൾ ഉൾക്കൊള്ളുന്ന [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) മോഡ്യൂളുകളിലേക്കുള്ള ലിങ്കുകൾ അടങ്ങിയിരിക്കുന്നു.
|
||||
|
||||
## ആരംഭിക്കുക
|
||||
|
||||
### 🎯 AI-ൽ പുതുതായി? ഇവിടെ തുടങ്ങൂ!
|
||||
### 🎯 AI-യിൽ പുതുമയാണോ? ഇവിടെ തുടങ്ങൂ!
|
||||
|
||||
നിങ്ങൾ AI-ൽ പൂർണ്ണമായും പുതുതാണെങ്കിൽ, വേഗത്തിൽ പ്രായോഗികമായ ഉദാഹരണങ്ങൾ ആഗ്രഹിക്കുന്നുവെങ്കിൽ, ഞങ്ങളുടെ [**ആരംഭക-സൗഹൃദ ഉദാഹരണങ്ങൾ**](./examples/README.md) പരിശോധിക്കുക! ഇതിൽ ഉൾപ്പെടുന്നു:
|
||||
നിങ്ങൾ AI-യിൽ പൂർണ്ണമായും പുതുമയുള്ളവരാണെങ്കിൽ, വേഗത്തിൽ പ്രായോഗിക ഉദാഹരണങ്ങൾ കാണാൻ, ഞങ്ങളുടെ [**ആരംഭക സൗഹൃദ ഉദാഹരണങ്ങൾ**](./examples/README.md) പരിശോധിക്കുക! ഇതിൽ ഉൾപ്പെടുന്നു:
|
||||
|
||||
- 🌟 **ഹലോ AI വേൾഡ്** - നിങ്ങളുടെ ആദ്യ AI പ്രോഗ്രാം (പാറ്റേൺ തിരിച്ചറിയൽ)
|
||||
- 🧠 **സിമ്പിൾ ന്യൂറൽ നെറ്റ്വർക്കുകൾ** - ഒരു ന്യൂറൽ നെറ്റ്വർക്കിന്റെ നിർമ്മാണം
|
||||
- 🌟 **Hello AI World** - നിങ്ങളുടെ ആദ്യ AI പ്രോഗ്രാം (പാറ്റേൺ തിരിച്ചറിയൽ)
|
||||
- 🧠 **സിമ്പിൾ ന്യൂറൽ നെറ്റ്വർക്ക്** - ഒരു ന്യൂറൽ നെറ്റ്വർക്ക് സ്ക്രാച്ചിൽ നിന്ന് നിർമ്മിക്കുക
|
||||
- 🖼️ **ഇമേജ് ക്ലാസിഫയർ** - വിശദമായ കമന്റുകളോടെ ചിത്രങ്ങൾ ക്ലാസിഫൈ ചെയ്യുക
|
||||
- 💬 **ടെക്സ്റ്റ് സെന്റിമെന്റ്** - പോസിറ്റീവ്/നെഗറ്റീവ് ടെക്സ്റ്റ് വിശകലനം ചെയ്യുക
|
||||
|
||||
ഈ ഉദാഹരണങ്ങൾ, പൂർണ്ണ പാഠ്യപദ്ധതിയിലേക്ക് കടക്കുന്നതിന് മുമ്പ്, നിങ്ങൾക്ക് AI ആശയങ്ങൾ മനസ്സിലാക്കാൻ സഹായിക്കുന്നതിനായി രൂപകൽപ്പന ചെയ്തിരിക്കുന്നു.
|
||||
ഈ ഉദാഹരണങ്ങൾ പൂർണ്ണ പാഠ്യപദ്ധതിയിലേക്ക് കടക്കുന്നതിന് മുമ്പ് AI ആശയങ്ങൾ മനസിലാക്കാൻ നിങ്ങളെ സഹായിക്കാൻ രൂപകൽപ്പന ചെയ്തതാണ്.
|
||||
|
||||
### 📚 പൂർണ്ണ പാഠ്യപദ്ധതി സജ്ജീകരണം
|
||||
|
||||
- നിങ്ങളുടെ ഡെവലപ്മെന്റ് എൻവയോൺമെന്റ് സജ്ജമാക്കാൻ സഹായിക്കുന്നതിന് ഞങ്ങൾ ഒരു [സജ്ജീകരണ പാഠം](./lessons/0-course-setup/setup.md) സൃഷ്ടിച്ചിട്ടുണ്ട്. - അധ്യാപകർക്ക്, ഞങ്ങൾ ഒരു [പാഠ്യപദ്ധതി സജ്ജീകരണ പാഠം](./lessons/0-course-setup/for-teachers.md) സൃഷ്ടിച്ചിട്ടുണ്ട്!
|
||||
- നിങ്ങളുടെ ഡെവലപ്മെന്റ് എൻവയോൺമെന്റ് സജ്ജീകരിക്കാൻ സഹായിക്കുന്നതിന് ഞങ്ങൾ ഒരു [സജ്ജീകരണ പാഠം](./lessons/0-course-setup/setup.md) സൃഷ്ടിച്ചിട്ടുണ്ട്. - അധ്യാപകർക്ക്, ഞങ്ങൾ ഒരു [പാഠ്യപദ്ധതി സജ്ജീകരണ പാഠം](./lessons/0-course-setup/for-teachers.md) സൃഷ്ടിച്ചിട്ടുണ്ട്!
|
||||
- [VSCode അല്ലെങ്കിൽ Codepace-ൽ കോഡ് എങ്ങനെ പ്രവർത്തിപ്പിക്കാം](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
ഈ ഘട്ടങ്ങൾ പിന്തുടരുക:
|
||||
|
||||
റിപ്പോസിറ്ററി Fork ചെയ്യുക: ഈ പേജിന്റെ മുകളിൽ വലതുവശത്ത് "Fork" ബട്ടൺ ക്ലിക്കുചെയ്യുക.
|
||||
റിപ്പോസിറ്ററി ഫോർക്ക് ചെയ്യുക: ഈ പേജിന്റെ മുകളിൽ വലതുവശത്ത് "Fork" ബട്ടൺ ക്ലിക്കുചെയ്യുക.
|
||||
|
||||
റിപ്പോസിറ്ററി Clone ചെയ്യുക: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
റിപ്പോസിറ്ററി ക്ലോൺ ചെയ്യുക: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
ഈ റിപ്പോ പിന്നീട് എളുപ്പത്തിൽ കണ്ടെത്താൻ 🌟 (സ്റ്റാർ) ചെയ്യാൻ മറക്കരുത്.
|
||||
ഈ റിപ്പോ പിന്നീട് എളുപ്പത്തിൽ കണ്ടെത്താൻ സ്റ്റാർ (🌟) ചെയ്യാൻ മറക്കരുത്.
|
||||
|
||||
## മറ്റ് പഠിതാക്കളെ കാണുക
|
||||
|
||||
ഈ കോഴ്സ് പഠിക്കുന്ന മറ്റ് പഠിതാക്കളുമായി കൂടിക്കാഴ്ച നടത്താനും നെറ്റ്വർക്ക് ചെയ്യാനും പിന്തുണ നേടാനും ഞങ്ങളുടെ [ഓഫീഷ്യൽ AI Discord സെർവർ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ചേരുക.
|
||||
ഈ കോഴ്സ് ചെയ്യുന്ന മറ്റ് പഠിതാക്കളുമായി കൂടിക്കാഴ്ച നടത്താനും നെറ്റ്വർക്കിംഗ് ചെയ്യാനും പിന്തുണ നേടാനും ഞങ്ങളുടെ [ഓഫീഷ്യൽ AI Discord സെർവർ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ചേരുക.
|
||||
|
||||
നിങ്ങൾക്ക് പ്രോഡക്റ്റ് ഫീഡ്ബാക്ക് അല്ലെങ്കിൽ നിർമ്മാണത്തിനിടെ ചോദ്യങ്ങൾ ഉണ്ടെങ്കിൽ, ഞങ്ങളുടെ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) സന്ദർശിക്കുക.
|
||||
|
||||
## ക്വിസുകൾ
|
||||
|
||||
> **ക്വിസുകളെക്കുറിച്ചുള്ള ഒരു കുറിപ്പ്**: എല്ലാ ക്വിസുകളും etc\quiz-app എന്ന ഫോൾഡറിലെ Quiz-app ഫോൾഡറിലോ അല്ലെങ്കിൽ [ഓൺലൈൻ ഇവിടെ](https://ff-quizzes.netlify.app/) ലഭ്യമാണ്. പാഠങ്ങളിൽ നിന്ന് ക്വിസ് ആപ്പ് ലിങ്ക് ചെയ്തിരിക്കുന്നു. ഇത് ലോക്കലായി പ്രവർത്തിപ്പിക്കുകയോ Azure-ലേക്ക് ഡിപ്ലോയ് ചെയ്യുകയോ ചെയ്യാം; `quiz-app` ഫോൾഡറിലെ നിർദ്ദേശങ്ങൾ പിന്തുടരുക. ഇവ ക്രമമായി പ്രാദേശികമാക്കുന്നു.
|
||||
> **ക്വിസുകളെക്കുറിച്ചുള്ള ഒരു കുറിപ്പ്**: എല്ലാ ക്വിസുകളും etc\quiz-app എന്ന ഫോൾഡറിലെ Quiz-app ഫോൾഡറിലോ അല്ലെങ്കിൽ [ഓൺലൈൻ ഇവിടെ](https://ff-quizzes.netlify.app/) ലഭ്യമാണ്. പാഠങ്ങളിൽ നിന്ന് ലിങ്ക് ചെയ്തിരിക്കുന്ന ക്വിസ് ആപ്പ് ലോക്കലായി പ്രവർത്തിപ്പിക്കാനോ Azure-ലേക്ക് ഡിപ്ലോയ് ചെയ്യാനോ കഴിയും; `quiz-app` ഫോൾഡറിലെ നിർദ്ദേശങ്ങൾ പിന്തുടരുക. അവ ക്രമാതീതമായി പ്രാദേശികമാക്കുന്നു.
|
||||
|
||||
## സഹായം ആവശ്യമുണ്ട്
|
||||
|
||||
|
|
@ -154,61 +154,67 @@ _ക്ലൗഡിലെ AI_ വിഷയങ്ങൾക്ക് സൗമ്
|
|||
|
||||
## പ്രത്യേക നന്ദി
|
||||
|
||||
* **✍️ പ്രാഥമിക രചയിതാവ്:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 എഡിറ്റർ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 സ്കെച്ച്നോട്ട് ഇലസ്ട്രേറ്റർ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ ക്വിസ് സൃഷ്ടാവ്:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 പ്രധാന സംഭാവാകർ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ പ്രാഥമിക രചയിതാവ്:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 എഡിറ്റർ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 സ്കെച്ച്നോട്ട് ഇലസ്ട്രേറ്റർ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ ക്വിസ് സൃഷ്ടാവ്:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 പ്രധാന സംഭാവാകർ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## മറ്റ് പാഠ്യപദ്ധതികൾ
|
||||
|
||||
ഞങ്ങളുടെ ടീം മറ്റ് പാഠ്യപദ്ധതികളും സൃഷ്ടിക്കുന്നു! പരിശോധിക്കുക:
|
||||
|
||||
### ലാംഗ്ചെയിൻ
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / ഏജന്റുകൾ
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### ജനറേറ്റീവ് AI പരമ്പര
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### പ്രധാന പഠനങ്ങൾ
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### പ്രാഥമിക പഠനം
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### കോപൈലറ്റ് സീരീസ്
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
### കോപൈലറ്റ് പരമ്പര
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## സഹായം ലഭ്യമാക്കൽ
|
||||
|
||||
നിങ്ങൾക്ക് തടസ്സം നേരിടുകയോ AI ആപ്പുകൾ നിർമ്മിക്കുന്നതിനെക്കുറിച്ച് ചോദ്യങ്ങളുണ്ടോ? MCP-നെക്കുറിച്ചുള്ള ചർച്ചകളിൽ മറ്റ് പഠിതാക്കളും പരിചയസമ്പന്നരായ ഡെവലപ്പർമാരും ചേരുക. ചോദ്യങ്ങൾ സ്വാഗതം ചെയ്യപ്പെടുന്ന, അറിവ് സ്വതന്ത്രമായി പങ്കിടുന്ന ഒരു പിന്തുണാ സമൂഹമാണിത്.
|
||||
നിങ്ങൾക്ക് സംശയങ്ങൾ ഉണ്ടോ അല്ലെങ്കിൽ AI ആപ്പുകൾ നിർമ്മിക്കുന്നതിൽ കുടുങ്ങിയോ? MCP-നെക്കുറിച്ചുള്ള ചർച്ചകളിൽ അനുഭവസമ്പന്നരായ ഡെവലപ്പർമാരും സഹപാഠികളും പങ്കെടുക്കുന്ന ഒരു പിന്തുണാ സമൂഹത്തിൽ ചേരുക. ചോദ്യങ്ങൾ സ്വാഗതം ചെയ്യപ്പെടുകയും അറിവ് സ്വതന്ത്രമായി പങ്കിടുകയും ചെയ്യുന്ന ഒരു പിന്തുണാ സമൂഹമാണിത്.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
നിർമ്മാണത്തിനിടെ നിങ്ങൾക്ക് പ്രോഡക്റ്റ് ഫീഡ്ബാക്ക് അല്ലെങ്കിൽ പിശകുകൾ ഉണ്ടെങ്കിൽ സന്ദർശിക്കുക:
|
||||
നിങ്ങൾക്ക് പ്രോഡക്റ്റ് ഫീഡ്ബാക്ക് അല്ലെങ്കിൽ പിശകുകൾ ഉണ്ടെങ്കിൽ സന്ദർശിക്കുക:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**അറിയിപ്പ്**:
|
||||
ഈ പ്രമാണം AI വിവർത്തന സേവനം [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് വിവർത്തനം ചെയ്തതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്കായി ശ്രമിക്കുന്നുവെങ്കിലും, ഓട്ടോമേറ്റഡ് വിവർത്തനങ്ങളിൽ പിഴവുകൾ അല്ലെങ്കിൽ തെറ്റായ വിവരങ്ങൾ ഉണ്ടാകാൻ സാധ്യതയുണ്ട്. പ്രമാണത്തിന്റെ മാതൃഭാഷയിലുള്ള യഥാർത്ഥ പതിപ്പ് പ്രാമാണികമായ ഉറവിടമായി പരിഗണിക്കണം. നിർണായകമായ വിവരങ്ങൾക്ക്, പ്രൊഫഷണൽ മനുഷ്യ വിവർത്തനം ശുപാർശ ചെയ്യുന്നു. ഈ വിവർത്തനം ഉപയോഗിച്ച് ഉണ്ടാകുന്ന തെറ്റിദ്ധാരണകൾ അല്ലെങ്കിൽ തെറ്റായ വ്യാഖ്യാനങ്ങൾക്കായി ഞങ്ങൾ ഉത്തരവാദികളല്ല.
|
||||
**അസത്യവാദം**:
|
||||
ഈ രേഖ AI വിവർത്തന സേവനമായ [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് വിവർത്തനം ചെയ്തതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്കായി ശ്രമിക്കുന്നുവെങ്കിലും, ഓട്ടോമേറ്റഡ് വിവർത്തനങ്ങളിൽ പിശകുകൾ അല്ലെങ്കിൽ തെറ്റായ വിവരങ്ങൾ ഉണ്ടാകാമെന്ന് ദയവായി ശ്രദ്ധിക്കുക. അതിന്റെ സ്വാഭാവിക ഭാഷയിലുള്ള മൗലിക രേഖ പ്രാമാണികമായ ഉറവിടമായി പരിഗണിക്കണം. നിർണായകമായ വിവരങ്ങൾക്ക്, പ്രൊഫഷണൽ മനുഷ്യ വിവർത്തനം ശുപാർശ ചെയ്യുന്നു. ഈ വിവർത്തനം ഉപയോഗിക്കുന്നതിൽ നിന്നുണ്ടാകുന്ന തെറ്റിദ്ധാരണകൾക്കോ തെറ്റായ വ്യാഖ്യാനങ്ങൾക്കോ ഞങ്ങൾ ഉത്തരവാദികളല്ല.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:18:29+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:02:18+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "mo"
|
||||
}
|
||||
|
|
@ -25,19 +25,19 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| 人工智能入門課程 - _由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製的速寫筆記_ |
|
||||
| 人工智能入門課程 - _由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製的速記圖_ |
|
||||
|
||||
探索 **人工智能** (AI) 的世界，透過我們為期 12 週、共 24 節課的教學大綱！課程包括實用的教學內容、測驗和實驗室練習。這是一個適合初學者的課程，涵蓋了 TensorFlow 和 PyTorch 等工具，以及人工智能的倫理問題。
|
||||
探索 **人工智能** (AI) 的世界，透過我們為期 12 週、共 24 節課的教學大綱！課程包括實用的教學內容、測驗及實驗室練習。此課程適合初學者，涵蓋 TensorFlow 和 PyTorch 等工具，以及人工智能的倫理問題。
|
||||
|
||||
### 🌐 多語言支援
|
||||
|
||||
#### 透過 GitHub Action 支援 (自動化且保持最新)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文 (簡體)](../zh/README.md) | [中文 (繁體，香港)](../hk/README.md) | [中文 (繁體，澳門)](./README.md) | [中文 (繁體，台灣)](../tw/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [卡納達文](../kn/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉雅拉姆文](../ml/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文 (法爾西)](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文 (巴西)](../br/README.md) | [葡萄牙文 (葡萄牙)](../pt/README.md) | [旁遮普文 (古木基)](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文 (西里爾字母)](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [塔加洛文 (菲律賓)](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰盧固文](../te/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
|
||||
[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸文](../my/README.md) | [中文 (簡體)](../zh/README.md) | [中文 (繁體，香港)](../hk/README.md) | [中文 (繁體，澳門)](./README.md) | [中文 (繁體，台灣)](../tw/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印尼文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [卡納達文](../kn/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉雅拉姆文](../ml/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文 (法爾西)](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文 (巴西)](../br/README.md) | [葡萄牙文 (葡萄牙)](../pt/README.md) | [旁遮普文 (古木基文)](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文 (西里爾文)](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [塔加洛文 (菲律賓文)](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰盧固文](../te/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**如果您希望支援更多翻譯語言，請參考 [此處](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**如果希望支援更多語言，請參考 [此處](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## 加入社群
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -53,18 +53,18 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
* 用於處理影像和文本的 **神經架構**。我們將涵蓋最近的模型，但可能稍微缺乏最新技術。
|
||||
* 不太流行的人工智能方法，例如 **遺傳算法** 和 **多代理系統**。
|
||||
|
||||
我們不會在這個教學大綱中涵蓋：
|
||||
我們不會在此教學大綱中涵蓋：
|
||||
|
||||
> [在 Microsoft Learn 集合中找到所有額外的課程資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [在 Microsoft Learn 集合中找到此課程的所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **人工智能在商業中的應用案例**。建議參加 [商業用戶的人工智能入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，或 [人工智能商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，由 [INSEAD](https://www.insead.edu/) 合作開發。
|
||||
* **人工智能在商業中的應用案例**。建議參加 [商業用戶人工智能入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑，或 [人工智能商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，由 [INSEAD](https://www.insead.edu/) 合作開發。
|
||||
* **經典機器學習**，這在我們的 [機器學習入門課程](http://github.com/Microsoft/ML-for-Beginners) 中有詳細描述。
|
||||
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 構建的實際人工智能應用。為此，我們建議您從 Microsoft Learn 的模組開始，例如 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[使用 Azure OpenAI Service 的生成式人工智能](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的機器學習 **雲框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議使用 [使用 Azure Machine Learning 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
* **對話式人工智能** 和 **聊天機器人**。有一個單獨的 [創建對話式人工智能解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，您也可以參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 了解更多細節。
|
||||
* **深度學習背後的數學原理**。為此，我們建議閱讀 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的 [深度學習](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，該書也可在線上獲得：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 構建的實際人工智能應用。建議從 Microsoft Learn 的模組開始，例如 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI Service 的生成式人工智能](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的機器學習 **雲框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議使用 [Azure Machine Learning 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [Azure Databricks 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑。
|
||||
* **對話式人工智能** 和 **聊天機器人**。有一個單獨的 [創建對話式人工智能解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑，您也可以參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 了解更多細節。
|
||||
* **深度學習背後的數學原理**。建議參考 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的 [深度學習](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可在線上閱讀 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
|
||||
如果您想要輕鬆了解 _雲端人工智能_ 的主題，可以考慮參加 [在 Azure 上開始人工智能](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
如果您希望輕鬆了解 _雲端人工智能_ 的主題，可以考慮參加 [Azure 人工智能入門](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑。
|
||||
|
||||
# 課程內容
|
||||
|
||||
|
|
@ -77,14 +77,14 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**神經網絡簡介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [多層感知器及建立我們自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介紹 (PyTorch/TensorFlow) 及過擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 04 | [多層感知器及建立自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介紹 (PyTorch/TensorFlow) 及過度擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**電腦視覺**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [探索 Microsoft Azure 上的電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [電腦視覺入門. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 06 | [電腦視覺介紹. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [卷積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [預訓練網絡及遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [自編碼器及變分自編碼器 (VAEs)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [生成對抗網絡 (GANs) 及藝術風格轉移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [生成對抗網絡 (GANs) 及藝術風格遷移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [物件檢測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [語義分割. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**自然語言處理**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [探索 Microsoft Azure 上的自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -93,7 +93,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 15 | [語言建模. 訓練自己的嵌入](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [實驗室](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [循環神經網絡 (RNN)](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [生成型循環網絡](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [實驗室](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [變壓器. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 18 | [Transformer. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [命名實體識別 (NER)](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [實驗室](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [大型語言模型、提示編程及少樣本任務](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **其他 AI 技術** || |
|
||||
|
|
@ -103,23 +103,23 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| VII | **AI 倫理** | | |
|
||||
| 24 | [AI 倫理及負責任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任的 AI 原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **額外內容** | | |
|
||||
| 25 | [多模態網絡, CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [多模態網絡、CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## 每節課包含
|
||||
|
||||
* 預讀材料
|
||||
* 可執行的 Jupyter 筆記本，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行的筆記本還包含大量理論材料，因此要理解主題，您需要至少閱讀一個版本的筆記本（PyTorch 或 TensorFlow）。
|
||||
* **實驗室**，適用於某些主題，讓您有機會將所學的材料應用於特定問題。
|
||||
* 某些部分包含指向 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結，涵蓋相關主題。
|
||||
* 可執行的 Jupyter 筆記本，通常針對特定框架 (**PyTorch** 或 **TensorFlow**)。可執行的筆記本還包含大量理論材料，因此要理解主題，您需要至少閱讀一個版本的筆記本（PyTorch 或 TensorFlow）。
|
||||
* **實驗室** 可用於某些主題，讓您有機會將所學材料應用於特定問題。
|
||||
* 部分章節包含指向 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結，涵蓋相關主題。
|
||||
|
||||
## 開始學習
|
||||
|
||||
### 🎯 AI 新手？從這裡開始！
|
||||
### 🎯 AI 初學者？從這裡開始！
|
||||
|
||||
如果您對 AI 完全陌生，並希望快速上手實踐範例，請查看我們的 [**初學者友好範例**](./examples/README.md)！這些範例包括：
|
||||
如果您對 AI 完全陌生並希望快速上手，請查看我們的 [**初學者友好示例**](./examples/README.md)！這些包括：
|
||||
|
||||
- 🌟 **Hello AI World** - 您的第一個 AI 程式（模式識別）
|
||||
- 🧠 **簡單神經網絡** - 從零開始構建神經網絡
|
||||
- 🧠 **簡單神經網絡** - 從零開始建立神經網絡
|
||||
- 🖼️ **圖像分類器** - 帶有詳細註解的圖像分類器
|
||||
- 💬 **文字情感分析** - 分析正面/負面的文字
|
||||
|
||||
|
|
@ -132,7 +132,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
請按照以下步驟操作：
|
||||
|
||||
分叉倉庫：點擊此頁面右上角的 "Fork" 按鈕。
|
||||
分叉倉庫：點擊本頁右上角的 "Fork" 按鈕。
|
||||
|
||||
克隆倉庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
|
|
@ -156,7 +156,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
* **✍️ 主要作者:** [Dmitry Soshnikov](http://soshnikov.com)，博士
|
||||
* **🔥 編輯:** [Jen Looper](https://twitter.com/jenlooper)，博士
|
||||
* **🎨 手繪筆記插畫師:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 手繪插圖:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ 測驗創作者:** [Lateefah Bello](https://github.com/CinnamonXI)，[MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 核心貢獻者:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
我們的團隊還製作了其他課程！查看以下內容：
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## 獲取幫助
|
||||
|
||||
如果你遇到困難或對構建 AI 應用有任何疑問，請加入學習者和有經驗的開發者的討論。這是一個支持性的社區，歡迎提問並自由分享知識。
|
||||
如果你遇到困難或對構建 AI 應用有任何疑問，請加入 MCP 的討論，與其他學習者和有經驗的開發者交流。這是一個支持性的社群，歡迎提問並自由分享知識。
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**免責聲明**：
|
||||
此文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們努力確保準確性，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵信息，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
|
||||
此文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件作為權威來源。對於關鍵資訊，建議尋求專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:30:31+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:14:27+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "mr"
|
||||
}
|
||||
|
|
@ -25,7 +25,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| नवशिक्यांसाठी AI - _[@girlie_mac](https://twitter.com/girlie_mac) यांनी तयार केलेले स्केच_ |
|
||||
| नवशिक्यांसाठी AI - _[@girlie_mac](https://twitter.com/girlie_mac) यांचे स्केच_ |
|
||||
|
||||
**कृत्रिम बुद्धिमत्ता** (AI) च्या जगाचा 12 आठवड्यांचा, 24 धड्यांचा अभ्यासक्रम शोधा! यात प्रात्यक्षिक धडे, प्रश्नमंजुषा आणि प्रयोगशाळा समाविष्ट आहेत. हा अभ्यासक्रम नवशिक्यांसाठी अनुकूल आहे आणि TensorFlow आणि PyTorch यांसारख्या साधनांसह AI मधील नैतिकतेचा समावेश करतो.
|
||||
|
||||
|
|
@ -37,34 +37,34 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](./README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**जर तुम्हाला अतिरिक्त भाषांमध्ये भाषांतर हवे असेल, तर समर्थित भाषांची यादी [येथे](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) दिली आहे.**
|
||||
**जर तुम्हाला अतिरिक्त भाषांमध्ये भाषांतर हवे असेल तर [येथे](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) सूचीबद्ध भाषांमध्ये समर्थन आहे.**
|
||||
|
||||
## समुदायामध्ये सामील व्हा
|
||||
## समुदायात सामील व्हा
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## तुम्ही काय शिकाल
|
||||
|
||||
**[अभ्यासक्रमाचा मनोमालिका](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[अभ्यासक्रमाचा मनोचित्रण](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
या अभ्यासक्रमात, तुम्ही शिकाल:
|
||||
|
||||
* कृत्रिम बुद्धिमत्तेचे विविध दृष्टिकोन, ज्यामध्ये "चांगले जुने" प्रतीकात्मक दृष्टिकोन **ज्ञान प्रतिनिधित्व** आणि तर्क ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) समाविष्ट आहे.
|
||||
* **न्यूरल नेटवर्क्स** आणि **डीप लर्निंग**, जे आधुनिक AI च्या केंद्रस्थानी आहेत. आम्ही या महत्त्वाच्या विषयांमागील संकल्पना दोन लोकप्रिय फ्रेमवर्क - [TensorFlow](http://Tensorflow.org) आणि [PyTorch](http://pytorch.org) च्या कोडसह स्पष्ट करू.
|
||||
* प्रतिमा आणि मजकूरावर काम करण्यासाठी **न्यूरल आर्किटेक्चर्स**. आम्ही अलीकडील मॉडेल्स कव्हर करू, परंतु कदाचित अत्याधुनिकतेत थोडे मागे असू शकतो.
|
||||
* प्रतिमा आणि मजकूरावर काम करण्यासाठी **न्यूरल आर्किटेक्चर्स**. आम्ही अलीकडील मॉडेल्स कव्हर करू पण कदाचित अत्याधुनिकतेत थोडे मागे असू शकतो.
|
||||
* कमी लोकप्रिय AI दृष्टिकोन, जसे की **Genetic Algorithms** आणि **Multi-Agent Systems**.
|
||||
|
||||
या अभ्यासक्रमात आम्ही कव्हर करणार नाही:
|
||||
या अभ्यासक्रमात आम्ही काय कव्हर करणार नाही:
|
||||
|
||||
> [या अभ्यासक्रमासाठी सर्व अतिरिक्त संसाधने आमच्या Microsoft Learn संग्रहामध्ये शोधा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **व्यवसायातील AI** चा वापर करण्याचे व्यवसाय प्रकरणे. Microsoft Learn वरील [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग किंवा [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) सह सहकार्याने विकसित केलेला अभ्यासक्रम घ्या.
|
||||
* **क्लासिक मशीन लर्निंग**, जे आमच्या [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) मध्ये चांगल्या प्रकारे वर्णन केले आहे.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** वापरून तयार केलेले व्यावहारिक AI अनुप्रयोग. यासाठी, आम्ही Microsoft Learn वरील [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** आणि इतर मॉड्यूल्ससह प्रारंभ करण्याची शिफारस करतो.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** वापरून तयार केलेले व्यावहारिक AI अनुप्रयोग. यासाठी, आम्ही Microsoft Learn वरील [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** आणि इतरांसह मॉड्यूल्ससह प्रारंभ करण्याची शिफारस करतो.
|
||||
* विशिष्ट ML **क्लाउड फ्रेमवर्क्स**, जसे की [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), किंवा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) आणि [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचे मार्ग वापरण्याचा विचार करा.
|
||||
* **संवादी AI** आणि **चॅट बॉट्स**. यासाठी स्वतंत्र [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग आहे, आणि अधिक तपशीलांसाठी तुम्ही [हा ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) देखील पाहू शकता.
|
||||
* **डीप लर्निंगमधील गणितीय संकल्पना**. यासाठी, आम्ही Ian Goodfellow, Yoshua Bengio आणि Aaron Courville यांचे [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) वाचण्याची शिफारस करतो, जे [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) येथे ऑनलाइन उपलब्ध आहे.
|
||||
* **संवादी AI** आणि **चॅट बॉट्स**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग स्वतंत्र आहे, आणि अधिक तपशीलांसाठी तुम्ही [हा ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) देखील पाहू शकता.
|
||||
* **डीप मॅथेमॅटिक्स** डीप लर्निंगच्या मागे. यासाठी, आम्ही Ian Goodfellow, Yoshua Bengio आणि Aaron Courville यांचे [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) शिफारस करतो, जे [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) येथे ऑनलाइन देखील उपलब्ध आहे.
|
||||
|
||||
_क्लाउडमधील AI_ विषयांमध्ये सौम्य परिचयासाठी, तुम्ही [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग घेण्याचा विचार करू शकता.
|
||||
_क्लाउडमधील AI_ विषयांमध्ये सौम्य परिचयासाठी तुम्ही [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग घेण्याचा विचार करू शकता.
|
||||
|
||||
# सामग्री
|
||||
|
||||
|
|
@ -88,7 +88,7 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
| 11 | [ऑब्जेक्ट डिटेक्शन](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [प्रयोगशाळा](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [सिमॅंटिक सेगमेंटेशन. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**नॅचरल लँग्वेज प्रोसेसिंग**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure वर नॅचरल लँग्वेज प्रोसेसिंग एक्सप्लोर करा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [टेक्स्ट रिप्रजेंटेशन. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 13 | [टेक्स्ट रिप्रझेंटेशन. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [सिमॅंटिक वर्ड एम्बेडिंग्स. Word2Vec आणि GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [लँग्वेज मॉडेलिंग. स्वतःचे एम्बेडिंग्स ट्रेन करणे](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [प्रयोगशाळा](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [रिकरंट न्यूरल नेटवर्क्स](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
|
|
@ -108,18 +108,18 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
## प्रत्येक धड्यात समाविष्ट आहे
|
||||
|
||||
* वाचनासाठी पूर्वतयारी साहित्य
|
||||
* कार्यक्षम Jupyter नोटबुक्स, ज्या प्रामुख्याने फ्रेमवर्कसाठी (PyTorch किंवा TensorFlow) विशिष्ट असतात. कार्यक्षम नोटबुकमध्ये बऱ्याच प्रमाणात सैद्धांतिक सामग्री असते, त्यामुळे विषय समजून घेण्यासाठी तुम्हाला किमान एक नोटबुक (PyTorch किंवा TensorFlow) वाचणे आवश्यक आहे.
|
||||
* चालवता येणाऱ्या Jupyter नोटबुक्स, ज्या प्रामुख्याने फ्रेमवर्क (**PyTorch** किंवा **TensorFlow**) साठी विशिष्ट असतात. चालवता येणाऱ्या नोटबुकमध्ये बऱ्याच प्रमाणात सैद्धांतिक माहिती असते, त्यामुळे विषय समजून घेण्यासाठी तुम्हाला किमान एक नोटबुक (PyTorch किंवा TensorFlow) वाचणे आवश्यक आहे.
|
||||
* **प्रयोगशाळा** काही विषयांसाठी उपलब्ध आहेत, ज्या तुम्हाला शिकलेल्या सामग्रीचा विशिष्ट समस्यांवर उपयोग करण्याची संधी देतात.
|
||||
* काही विभागांमध्ये संबंधित विषयांवर [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मॉड्यूल्सचे दुवे दिलेले आहेत.
|
||||
|
||||
## सुरुवात करणे
|
||||
|
||||
### 🎯 AI मध्ये नवीन आहात? येथे सुरुवात करा!
|
||||
### 🎯 AI मध्ये नवीन आहात? इथून सुरुवात करा!
|
||||
|
||||
जर तुम्ही AI मध्ये पूर्णपणे नवीन असाल आणि जलद, हाताळण्यायोग्य उदाहरणे शोधत असाल, तर आमचे [**सुरुवातीसाठी अनुकूल उदाहरणे**](./examples/README.md) तपासा! यामध्ये समाविष्ट आहे:
|
||||
जर तुम्ही AI मध्ये पूर्णपणे नवीन असाल आणि जलद, हाताळण्यायोग्य उदाहरणे शोधत असाल, तर आमचे [**सुरुवातीसाठी सोपे उदाहरणे**](./examples/README.md) तपासा! यामध्ये समाविष्ट आहे:
|
||||
|
||||
- 🌟 **हॅलो AI वर्ल्ड** - तुमचा पहिला AI प्रोग्राम (पॅटर्न ओळख)
|
||||
- 🧠 **सोपे न्यूरल नेटवर्क** - सुरवातीपासून न्यूरल नेटवर्क तयार करा
|
||||
- 🧠 **साधे न्यूरल नेटवर्क** - सुरुवातीपासून न्यूरल नेटवर्क तयार करा
|
||||
- 🖼️ **इमेज क्लासिफायर** - तपशीलवार टिप्पण्यांसह प्रतिमा वर्गीकृत करा
|
||||
- 💬 **टेक्स्ट भावना** - सकारात्मक/नकारात्मक टेक्स्टचे विश्लेषण करा
|
||||
|
||||
|
|
@ -140,17 +140,17 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
|
||||
## इतर शिकणाऱ्यांना भेटा
|
||||
|
||||
आमच्या [अधिकृत AI Discord सर्व्हर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मध्ये सामील व्हा, या कोर्समध्ये सहभागी होणाऱ्या इतर शिकणाऱ्यांशी भेटा आणि नेटवर्क करा तसेच मदत मिळवा.
|
||||
आमच्या [अधिकृत AI Discord सर्व्हर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मध्ये सामील व्हा, इतर शिकणाऱ्यांशी नेटवर्क करा आणि या कोर्ससाठी समर्थन मिळवा.
|
||||
|
||||
तुमच्याकडे उत्पादन फीडबॅक असल्यास किंवा तयार करताना काही प्रश्न असल्यास आमच्या [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ला भेट द्या.
|
||||
जर तुम्हाला उत्पादनाबद्दल अभिप्राय किंवा प्रश्न असतील तर आमच्या [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ला भेट द्या.
|
||||
|
||||
## क्विझेस
|
||||
|
||||
> **क्विझेसबद्दल एक टीप**: सर्व क्विझेस etc\quiz-app मधील Quiz-app फोल्डरमध्ये आहेत, किंवा [ऑनलाइन येथे](https://ff-quizzes.netlify.app/) उपलब्ध आहेत. ते धड्यांमधून लिंक केलेले आहेत. क्विझ अॅप स्थानिक पातळीवर चालवले जाऊ शकते किंवा Azure वर तैनात केले जाऊ शकते; `quiz-app` फोल्डरमधील सूचनांचे अनुसरण करा. ते हळूहळू स्थानिक भाषांमध्ये उपलब्ध होत आहेत.
|
||||
> **क्विझेसबद्दल एक टीप**: सर्व क्विझेस etc\quiz-app मधील Quiz-app फोल्डरमध्ये आहेत, किंवा [ऑनलाइन येथे](https://ff-quizzes.netlify.app/) उपलब्ध आहेत. ते धड्यांमधून लिंक केलेले आहेत. क्विझ अॅप स्थानिक पातळीवर चालवले जाऊ शकते किंवा Azure वर तैनात केले जाऊ शकते; `quiz-app` फोल्डरमधील सूचनांचे अनुसरण करा. ते हळूहळू स्थानिक भाषांमध्ये उपलब्ध होत आहेत.
|
||||
|
||||
## मदतीची आवश्यकता आहे
|
||||
|
||||
तुमच्याकडे काही सूचना आहेत का किंवा तुम्हाला स्पेलिंग किंवा कोडमध्ये काही त्रुटी आढळल्या आहेत? एक समस्या उघडा किंवा एक पुल रिक्वेस्ट तयार करा.
|
||||
तुमच्याकडे काही सूचना आहेत किंवा स्पेलिंग किंवा कोडमध्ये चुका आढळल्या आहेत? एक समस्या उघडा किंवा एक पुल विनंती तयार करा.
|
||||
|
||||
## विशेष धन्यवाद
|
||||
|
||||
|
|
@ -162,7 +162,13 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
|
||||
## इतर अभ्यासक्रम
|
||||
|
||||
आमची टीम इतर अभ्यासक्रम तयार करते! तपासा:
|
||||
आमची टीम इतर अभ्यासक्रम तयार करते! येथे पहा:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,11 +204,11 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
|
||||
## मदत मिळवणे
|
||||
|
||||
जर तुम्हाला अडचण आली किंवा AI अॅप्स तयार करताना काही प्रश्न असतील, तर MCP बद्दल चर्चा करण्यासाठी इतर शिकणारे आणि अनुभवी विकसकांमध्ये सामील व्हा. ही एक सहायक समुदाय आहे जिथे प्रश्नांचे स्वागत केले जाते आणि ज्ञान मुक्तपणे सामायिक केले जाते.
|
||||
जर तुम्हाला अडचण आली किंवा AI अॅप्स तयार करण्याबद्दल काही प्रश्न असतील, तर MCP बद्दल चर्चा करण्यासाठी इतर शिकणारे आणि अनुभवी विकसकांमध्ये सामील व्हा. ही एक सहायक समुदाय आहे जिथे प्रश्नांचे स्वागत केले जाते आणि ज्ञान मुक्तपणे सामायिक केले जाते.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
जर तुम्हाला उत्पादन फीडबॅक किंवा तयार करताना काही त्रुटी आढळल्या तर येथे भेट द्या:
|
||||
जर तुम्हाला उत्पादनाबद्दल अभिप्राय किंवा तयार करताना काही त्रुटी आढळल्या तर येथे भेट द्या:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ _क्लाउडमधील AI_ विषयांमध्ये सौम
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**अस्वीकरण**:
|
||||
हा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित करण्यात आला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपया लक्षात ठेवा की स्वयंचलित भाषांतरे त्रुटी किंवा अचूकतेच्या अभावाने युक्त असू शकतात. मूळ भाषेतील दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी, व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार राहणार नाही.
|
||||
हा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपया लक्षात घ्या की स्वयंचलित भाषांतरांमध्ये चुका किंवा अचूकतेचा अभाव असू शकतो. मूळ भाषेतील मूळ दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी, व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार राहणार नाही.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:02:37+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:43:02+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ms"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI Untuk Pemula - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ia merangkumi pelajaran praktikal, kuiz, dan makmal. Kurikulum ini mesra pemula dan meliputi alat seperti TensorFlow dan PyTorch, serta etika dalam AI.
|
||||
Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ia termasuk pelajaran praktikal, kuiz, dan makmal. Kurikulum ini mesra pemula dan merangkumi alat seperti TensorFlow dan PyTorch, serta etika dalam AI.
|
||||
|
||||
### 🌐 Sokongan Pelbagai Bahasa
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajara
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](./README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jika anda ingin menambah sokongan bahasa lain, senarai bahasa yang disokong boleh didapati [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jika anda ingin menambah sokongan bahasa terjemahan tambahan, senarai bahasa yang disokong boleh didapati [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Sertai Komuniti
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -46,31 +46,31 @@ Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajara
|
|||
|
||||
**[Peta Minda Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Dalam kurikulum ini, anda akan mempelajari:
|
||||
Dalam kurikulum ini, anda akan belajar:
|
||||
|
||||
* Pendekatan berbeza terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama" dengan **Perwakilan Pengetahuan** dan penaakulan ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Pendekatan berbeza terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama yang baik" dengan **Perwakilan Pengetahuan** dan penaakulan ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Rangkaian Neural** dan **Pembelajaran Mendalam**, yang menjadi teras AI moden. Kami akan menerangkan konsep di sebalik topik penting ini menggunakan kod dalam dua rangka kerja paling popular - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org).
|
||||
* **Seni Bina Neural** untuk bekerja dengan imej dan teks. Kami akan membincangkan model terkini tetapi mungkin kurang dalam keadaan terkini.
|
||||
* **Seni Bina Neural** untuk bekerja dengan imej dan teks. Kami akan membincangkan model terkini tetapi mungkin sedikit kekurangan dalam teknologi terkini.
|
||||
* Pendekatan AI yang kurang popular, seperti **Algoritma Genetik** dan **Sistem Multi-Ejen**.
|
||||
|
||||
Apa yang tidak akan kami liputi dalam kurikulum ini:
|
||||
Apa yang tidak akan kami bahas dalam kurikulum ini:
|
||||
|
||||
> [Cari semua sumber tambahan untuk kursus ini dalam koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Kes perniagaan menggunakan **AI dalam Perniagaan**. Pertimbangkan untuk mengambil laluan pembelajaran [Pengenalan kepada AI untuk pengguna perniagaan](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dibangunkan dengan kerjasama [INSEAD](https://www.insead.edu/).
|
||||
* **Pembelajaran Mesin Klasik**, yang dijelaskan dengan baik dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners) kami.
|
||||
* Aplikasi AI praktikal yang dibina menggunakan **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami mengesyorkan anda bermula dengan modul Microsoft Learn untuk [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lain-lain.
|
||||
* Rangka kerja awan ML tertentu seperti [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan untuk menggunakan laluan pembelajaran [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI Perbualan** dan **Chat Bots**. Terdapat laluan pembelajaran berasingan [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan anda juga boleh merujuk kepada [catatan blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk maklumat lanjut.
|
||||
* **Matematik Mendalam** di sebalik pembelajaran mendalam. Untuk ini, kami mencadangkan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia dalam talian di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Aplikasi AI praktikal yang dibina menggunakan **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami mengesyorkan anda bermula dengan modul Microsoft Learn untuk [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lain-lain.
|
||||
* Rangka kerja **Cloud ML** tertentu, seperti [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan untuk menggunakan laluan pembelajaran [Bangunkan dan operasikan penyelesaian pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Bangunkan dan Operasikan Penyelesaian Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI Perbualan** dan **Chat Bots**. Terdapat laluan pembelajaran berasingan [Cipta penyelesaian AI perbualan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan anda juga boleh merujuk kepada [catatan blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk maklumat lanjut.
|
||||
* **Matematik Mendalam** di sebalik pembelajaran mendalam. Untuk ini, kami mengesyorkan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia dalam talian di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Untuk pengenalan yang mudah kepada topik _AI dalam Awan_, anda boleh mempertimbangkan untuk mengambil laluan pembelajaran [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Untuk pengenalan yang mudah kepada topik _AI dalam Cloud_, anda boleh mempertimbangkan untuk mengambil laluan pembelajaran [Mulakan dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Kandungan
|
||||
|
||||
| | Pautan Pelajaran | PyTorch/Keras/TensorFlow | Makmal |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Persediaan Kursus](./lessons/0-course-setup/setup.md) | [Sediakan Persekitaran Pembangunan Anda](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Persediaan Kursus](./lessons/0-course-setup/setup.md) | [Persediaan Persekitaran Pembangunan Anda](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Pengenalan kepada AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Pengenalan dan Sejarah AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI Simbolik** |
|
||||
|
|
@ -81,7 +81,7 @@ Untuk pengenalan yang mudah kepada topik _AI dalam Awan_, anda boleh mempertimba
|
|||
| 05 | [Pengenalan kepada Rangka Kerja (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Penglihatan Komputer**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Terokai Penglihatan Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Pengenalan kepada Penglihatan Komputer. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Rangkaian Neural Konvolusi](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Senibina CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 07 | [Rangkaian Neural Konvolusi](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Seni Bina CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Rangkaian Pra-Latih dan Pembelajaran Pemindahan](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Latihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoder dan VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Rangkaian Adversarial Generatif & Pemindahan Gaya Artistik](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
|
|
@ -128,7 +128,7 @@ Contoh-contoh ini direka untuk membantu anda memahami konsep AI sebelum mendalam
|
|||
### 📚 Persediaan Kurikulum Penuh
|
||||
|
||||
- Kami telah menyediakan [pelajaran persediaan](./lessons/0-course-setup/setup.md) untuk membantu anda menyediakan persekitaran pembangunan anda. - Untuk pendidik, kami juga telah menyediakan [pelajaran persediaan kurikulum](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Cara untuk [Menjalankan kod dalam VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Cara [Menjalankan kod dalam VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Ikuti langkah-langkah ini:
|
||||
|
||||
|
|
@ -136,7 +136,7 @@ Fork Repositori: Klik butang "Fork" di sudut kanan atas halaman ini.
|
|||
|
||||
Clone Repositori: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Jangan lupa untuk memberi bintang (🌟) pada repo ini supaya mudah dijumpai kemudian.
|
||||
Jangan lupa untuk memberi bintang (🌟) pada repo ini supaya mudah dicari kemudian.
|
||||
|
||||
## Bertemu dengan Pelajar Lain
|
||||
|
||||
|
|
@ -146,11 +146,11 @@ Jika anda mempunyai maklum balas produk atau soalan semasa membina, lawati [Foru
|
|||
|
||||
## Kuiz
|
||||
|
||||
> **Nota tentang kuiz**: Semua kuiz terdapat dalam folder Quiz-app di etc\quiz-app, atau [Online Di Sini](https://ff-quizzes.netlify.app/) Kuiz ini dihubungkan dari dalam pelajaran, aplikasi kuiz boleh dijalankan secara tempatan atau dideploy ke Azure; ikuti arahan dalam folder `quiz-app`. Kuiz ini sedang dilokalkan secara berperingkat.
|
||||
> **Nota tentang kuiz**: Semua kuiz terdapat dalam folder Quiz-app di etc\quiz-app, atau [Online Di Sini](https://ff-quizzes.netlify.app/) Kuiz ini dihubungkan dari dalam pelajaran, aplikasi kuiz boleh dijalankan secara tempatan atau dideploy ke Azure; ikuti arahan dalam folder `quiz-app`. Kuiz ini sedang dilokalkan secara beransur-ansur.
|
||||
|
||||
## Bantuan Diperlukan
|
||||
|
||||
Adakah anda mempunyai cadangan atau menemui kesalahan ejaan atau kod? Kemukakan isu atau buat permintaan tarik.
|
||||
Adakah anda mempunyai cadangan atau menemui kesalahan ejaan atau kod? Kemukakan isu atau buat pull request.
|
||||
|
||||
## Terima Kasih Istimewa
|
||||
|
||||
|
|
@ -164,41 +164,47 @@ Adakah anda mempunyai cadangan atau menemui kesalahan ejaan atau kod? Kemukakan
|
|||
|
||||
Pasukan kami menghasilkan kurikulum lain! Lihat:
|
||||
|
||||
### Azure / Edge / MCP / Ejen
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agen
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Siri AI Generatif
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Pembelajaran Teras
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Siri Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Mendapatkan Bantuan
|
||||
|
||||
Jika anda tersekat atau mempunyai sebarang soalan tentang membina aplikasi AI. Sertai pelajar lain dan pembangun berpengalaman dalam perbincangan tentang MCP. Ia adalah komuniti yang menyokong di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas.
|
||||
Jika anda menghadapi kesukaran atau mempunyai sebarang soalan tentang membina aplikasi AI. Sertai pelajar lain dan pembangun berpengalaman dalam perbincangan tentang MCP. Ia adalah komuniti yang menyokong di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Jika anda mempunyai maklum balas produk atau kesalahan semasa membina, lawati:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Penafian**:
|
||||
Dokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang berwibawa. Untuk maklumat kritikal, terjemahan manusia profesional adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.
|
||||
Dokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang berwibawa. Untuk maklumat penting, terjemahan manusia profesional adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,81 +1,81 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:22:57+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:00:49+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "my"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Artificial Intelligence for Beginners - A Curriculum
|
||||
# စတင်သူများအတွက် အတုအယောင် ဉာဏ်ရည် - သင်ရိုးညွှန်းတမ်း
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| စတင်သူများအတွက် AI - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**Artificial Intelligence** (AI) အကြောင်းကို ၁၂ ပတ်၊ ၂၄ သင်ခန်းစာများဖြင့် လေ့လာပါ။ သင်ခန်းစာများ၊ မေးခွန်းများနှင့် လက်တွေ့လေ့ကျင့်ခန်းများ ပါဝင်ပြီး စတင်လေ့လာသူများအတွက် သင့်တော်သည်။ TensorFlow နှင့် PyTorch ကိရိယာများအပြင် AI အကျင့်သိက္ခာများကိုလည်း လွှမ်းခြုံထားသည်။
|
||||
**Artificial Intelligence** (AI) ၏ ကမ္ဘာကို ၁၂ ပတ်၊ ၂၄ သင်ခန်းစာပါသော သင်ရိုးညွှန်းတမ်းဖြင့် လေ့လာလိုက်ပါ။ ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စမ်းမေးခွန်းများနှင့် လက်တွေ့စမ်းသပ်ခန်းများ ပါဝင်သည်။ သင်ရိုးညွှန်းတမ်းသည် စတင်သူများအတွက် သင့်တော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော ကိရိယာများနှင့် AI ၏ သမာသိဒ္ဓိများကိုလည်း ဖော်ပြထားသည်။
|
||||
|
||||
### 🌐 ဘာသာစကားများအထောက်အပံ့
|
||||
### 🌐 ဘာသာစကားများအထောက်အပံ့
|
||||
|
||||
#### GitHub Action မှတဆင့် အလိုအလျောက် (အမြဲနောက်ဆုံးပေါ်)
|
||||
#### GitHub Action မှတဆင့် ထောက်ပံ့ထားသည် (အလိုအလျောက်နှင့် အမြဲနောက်ဆုံးအခြေအနေ)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**အပိုဘာသာစကားများထည့်သွင်းလိုပါက [ဒီမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ရှာဖွေပါ**
|
||||
**ထပ်မံသော ဘာသာစကားများကို ထည့်သွင်းလိုပါက [ဒီမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ကြည့်ပါ**
|
||||
|
||||
## အသိုင်းအဝိုင်းနှင့် ပူးပေါင်းပါ
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## အသိုင်းအဝိုင်းနှင့် ပူးပေါင်းပါ
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## သင်လေ့လာမည့်အရာများ
|
||||
## သင်လေ့လာမည့်အရာများ
|
||||
|
||||
**[သင်ခန်းစာ၏ Mindmap](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[သင်တန်း၏ Mindmap](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ဒီသင်ခန်းစာတွင် သင်လေ့လာမည့်အရာများမှာ -
|
||||
ဒီသင်ရိုးညွှန်းတမ်းတွင် သင်လေ့လာမည့်အရာများမှာ-
|
||||
|
||||
* **Artificial Intelligence** အမျိုးမျိုးသောနည်းလမ်းများ၊ **Knowledge Representation** နှင့် reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) အပါအဝင် "ရိုးရိုးရှင်းရှင်း" symbolic နည်းလမ်း။
|
||||
* **Neural Networks** နှင့် **Deep Learning**၊ ယခုခေတ် AI ၏ အခြေခံဖြစ်သည်။ TensorFlow နှင့် PyTorch ကဲ့သို့ framework နှစ်ခုကို အသုံးပြု၍ အဓိကအကြောင်းအရာများကို code ဖြင့် ရှင်းလင်းပြသမည်။
|
||||
* **Neural Architectures** ကို ရုပ်ပုံများနှင့် စာသားများနှင့်အလုပ်လုပ်ရန် အသုံးပြုခြင်း။ နောက်ဆုံးပေါ်မော်ဒယ်များကို လွှမ်းခြုံမည်ဖြစ်သော်လည်း state-of-the-art အပိုင်းတွင် အနည်းငယ်မလုံလောက်နိုင်ပါ။
|
||||
* **Genetic Algorithms** နှင့် **Multi-Agent Systems** ကဲ့သို့ နည်းနည်းနောက်ကျသော AI နည်းလမ်းများ။
|
||||
* **Artificial Intelligence** ၏ အမျိုးမျိုးသော နည်းလမ်းများ၊ အထူးသဖြင့် **Knowledge Representation** နှင့် **reasoning** ကို အသုံးပြုသော "ရိုးရာ" သင်္ချာနည်းလမ်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))
|
||||
* **Neural Networks** နှင့် **Deep Learning**၊ ယနေ့ခေတ် AI ၏ အခြေခံဖြစ်သော နည်းလမ်းများ။ ဒီအကြောင်းအရာများကို [TensorFlow](http://Tensorflow.org) နှင့် [PyTorch](http://pytorch.org) တို့တွင် ကုဒ်ဖြင့် ရှင်းပြမည်။
|
||||
* ပုံနှင့် စာသားများအတွက် **Neural Architectures**။ နောက်ဆုံးပေါ် မော်ဒယ်များကို ဖော်ပြမည်ဖြစ်သော်လည်း အချို့နည်းနည်း နောက်ကျနိုင်သည်။
|
||||
* နည်းနည်းသာ လူသိများသော AI နည်းလမ်းများ၊ **Genetic Algorithms** နှင့် **Multi-Agent Systems** ကဲ့သို့သော နည်းလမ်းများ။
|
||||
|
||||
ဒီသင်ခန်းစာတွင် မလွှမ်းခြုံထားသောအရာများ -
|
||||
ဒီသင်ရိုးညွှန်းတမ်းတွင် မပါဝင်မည့်အရာများ-
|
||||
|
||||
> [ဒီသင်ခန်းစာအတွက် အပိုအရင်းအမြစ်များကို Microsoft Learn collection တွင် ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [ဒီသင်တန်းအတွက် အပိုအရင်းအမြစ်များကို Microsoft Learn collection တွင် ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI in Business** ကို အသုံးပြုခြင်းဆိုင်ရာ စီးပွားရေးအခွင့်အလမ်းများ။ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်း သို့မဟုတ် [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို INSEAD နှင့် ပူးပေါင်းဖွံ့ဖြိုးထားသည်။
|
||||
* **Classic Machine Learning**၊ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) တွင် ကောင်းစွာဖော်ပြထားသည်။
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ကို အသုံးပြု၍ Practical AI applications တည်ဆောက်ခြင်း။ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** စသည်တို့ဖြင့် Microsoft Learn modules ကို စတင်ပါ။
|
||||
* **Cloud Frameworks** ML အထူးသီးသန့်များ၊ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) ကဲ့သို့။ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းများကို စတင်ပါ။
|
||||
* **Conversational AI** နှင့် **Chat Bots**။ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်း သို့မဟုတ် [ဒီ blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကို အသေးစိတ်အချက်အလက်များအတွက် ရှာဖွေပါ။
|
||||
* **Deep Mathematics** deep learning အတွက်။ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville ကို အကြံပြုပါသည်၊ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) တွင်လည်း ရရှိနိုင်ပါသည်။
|
||||
* **AI in Business** ကို အသုံးပြုသော စီးပွားရေးအမှုအကွက်များ။ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်း သို့မဟုတ် [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို လေ့လာပါ။
|
||||
* **Classic Machine Learning**၊ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) တွင် ကောင်းစွာ ဖော်ပြထားသည်။
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ကို အသုံးပြု၍ တည်ဆောက်ထားသော လက်တွေ့ AI အပလီကေးရှင်းများ။
|
||||
* **Cloud Frameworks** များ၊ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum) ကဲ့သို့သော။
|
||||
* **Conversational AI** နှင့် **Chat Bots**။ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းကို ကြည့်ပါ။
|
||||
* **Deep Mathematics**၊ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ကို အကြံပြုပါ။
|
||||
|
||||
_AI in the Cloud_ အကြောင်းကို သက်သာသောနည်းလမ်းဖြင့် စတင်လေ့လာလိုပါက [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းကို စတင်ပါ။
|
||||
Cloud အပေါ် AI ကို နူးညံ့စွာ စတင်လေ့လာလိုပါက [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းကို စတင်ပါ။
|
||||
|
||||
# အကြောင်းအရာ
|
||||
# အကြောင်းအရာ
|
||||
|
||||
| | သင်ခန်းစာလင့်ခ် | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [သင်ခန်းစာ Setup](./lessons/0-course-setup/setup.md) | [သင့် Development Environment ကို Setup လုပ်ပါ](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI အကျဉ်းချုပ်**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI ၏ အကျဉ်းချုပ်နှင့် သမိုင်းကြောင်း](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolic AI** |
|
||||
| 02 | [Knowledge Representation နှင့် Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Neural Networks အကျဉ်းချုပ်**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | သင်ခန်းစာလင့်ခ် | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [သင်တန်း Setup](./lessons/0-course-setup/setup.md) | [သင့် Development Environment ကို Setup ပြုလုပ်ပါ](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI အကြောင်းအကျဉ်း**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI ၏ အကျဉ်းချုပ်နှင့် သမိုင်းကြောင်း](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolic AI** |
|
||||
| 02 | [Knowledge Representation နှင့် Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Neural Networks အကြောင်းအကျဉ်း**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron နှင့် ကိုယ်ပိုင် Framework တည်ဆောက်ခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Frameworks (PyTorch/TensorFlow) နှင့် Overfitting အကြောင်းမိတ်ဆက်](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
|
|
@ -108,27 +108,27 @@ _AI in the Cloud_ အကြောင်းကို သက်သာသောန
|
|||
## သင်ခန်းစာတိုင်းတွင် ပါဝင်သည်
|
||||
|
||||
* ကြိုတင်ဖတ်ရှုရန် အကြောင်းအရာများ
|
||||
* **PyTorch** သို့မဟုတ် **TensorFlow** Framework အတွက် သီးသန့်ရေးသားထားသော Jupyter Notebooks များ။ ထို Notebooks များတွင် သီအိုရီဆိုင်ရာ အကြောင်းအရာများလည်း ပါဝင်ပြီး သင်ခန်းစာကို နားလည်ရန်အတွက် Notebook တစ်ခု (PyTorch သို့မဟုတ် TensorFlow) ကို အနည်းဆုံး လေ့လာဖတ်ရှုရန် လိုအပ်ပါသည်။
|
||||
* အချို့သော အခန်းများတွင် **Labs** ပါဝင်ပြီး သင်လေ့လာခဲ့သော အကြောင်းအရာများကို သတ်မှတ်ထားသော ပြဿနာတစ်ခုတွင် လက်တွေ့အသုံးချနိုင်စေသည်။
|
||||
* အချို့သော အပိုင်းများတွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) တွင် ဆက်စပ်သော အကြောင်းအရာများကို လေ့လာနိုင်သော လင့်များ ပါဝင်သည်။
|
||||
* **PyTorch** သို့မဟုတ် **TensorFlow** Framework အတွက် သီးသန့်ဖြစ်သော Jupyter Notebooks များ။ ထို Notebook များတွင် သီအိုရီဆိုင်ရာ အကြောင်းအရာများလည်း ပါဝင်ပြီး သင်ခန်းစာကို နားလည်ရန်အတွက် Notebook တစ်ခု (PyTorch သို့မဟုတ် TensorFlow) ကို အနည်းဆုံး လေ့လာရမည်။
|
||||
* **Labs** များသည် အချို့သော အကြောင်းအရာများအတွက် ရရှိနိုင်ပြီး သင်လေ့လာထားသော အကြောင်းအရာများကို သတ်မှတ်ပြဿနာတစ်ခုတွင် လက်တွေ့အသုံးချရန် အခွင့်အလမ်းပေးသည်။
|
||||
* အချို့သော အပိုင်းများတွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) တွင် ဆက်စပ်အကြောင်းအရာများကို လေ့လာရန် လင့်ခ်များ ပါဝင်သည်။
|
||||
|
||||
## စတင်ရန်
|
||||
|
||||
### 🎯 AI အသစ်စတင်လေ့လာသူများအတွက်!
|
||||
### 🎯 AI အသစ်စတင်သူများအတွက်! ဒီနေရာမှ စတင်ပါ!
|
||||
|
||||
သင် AI အကြောင်းကို လုံးဝအသစ်ဖြစ်ပြီး လက်တွေ့ လေ့လာမှုများကို စတင်လိုပါက [**Beginner-Friendly Examples**](./examples/README.md) ကို ကြည့်ပါ! ထိုအထဲတွင် ပါဝင်သည်မှာ -
|
||||
သင် AI အကြောင်းကို လုံးဝအသစ်ဖြစ်ပြီး လက်တွေ့လုပ်ဆောင်နိုင်သော ဥပမာများကို လိုအပ်ပါက [**Beginner-Friendly Examples**](./examples/README.md) ကို ကြည့်ပါ! ထိုအတွင်းတွင် ပါဝင်သည်မှာ -
|
||||
|
||||
- 🌟 **Hello AI World** - သင့်ရဲ့ ပထမဆုံး AI အစီအစဉ် (pattern recognition)
|
||||
- 🧠 **ရိုးရှင်းသော Neural Network** - ကိုယ်ပိုင် Neural Network တစ်ခု တည်ဆောက်ခြင်း
|
||||
- 🖼️ **Image Classifier** - ပုံများကို အမျိုးအစားခွဲခြားခြင်း (အသေးစိတ်မှတ်ချက်များပါဝင်သည်)
|
||||
- 💬 **စာသားခံစားချက်** - အပြုသဘော/အပြစ်သဘောစာသားများကို ခွဲခြားစစ်ဆေးပါ
|
||||
|
||||
ဤဥပမာများသည် သင်၏ AI အကြောင်းအရာများကို နားလည်ရန် အကူအညီပေးရန် ရည်ရွယ်ထားပြီး အတန်းအစုံကို စတင်မတိုင်မီ သင်ယူနိုင်စေရန်ဖြစ်သည်။
|
||||
ဤဥပမာများသည် သင်၏ AI အကြောင်းအရာများကို နားလည်ရန် အကူအညီပေးရန် ရည်ရွယ်ထားပြီး အတန်းအစုံကို စတင်မတိုင်မီဖြစ်ပါသည်။
|
||||
|
||||
### 📚 အတန်းအစုံ စတင်ခြင်း
|
||||
|
||||
- သင်၏ ဖွံ့ဖြိုးရေးပတ်ဝန်းကျင်ကို စတင်ဖွဲ့စည်းရန်အတွက် [စတင်သင်ခန်းစာ](./lessons/0-course-setup/setup.md) တစ်ခုကို ဖန်တီးထားပါသည်။ - ဆရာ/ဆရာမများအတွက်လည်း [သင်ရိုးဖွဲ့စည်းမှု သင်ခန်းစာ](./lessons/0-course-setup/for-teachers.md) တစ်ခုကို ဖန်တီးထားပါသည်။
|
||||
- [VSCode သို့မဟုတ် Codepace တွင် ကုဒ်ကို အလုပ်လုပ်စေခြင်း](./lessons/0-course-setup/how-to-run.md) နည်းလမ်း
|
||||
- သင်၏ ဖွံ့ဖြိုးရေးပတ်ဝန်းကျင်ကို စတင်ဖွဲ့စည်းရန်အတွက် [စတင်သင်ခန်းစာ](./lessons/0-course-setup/setup.md) တစ်ခုကို ဖန်တီးထားပါသည်။ - ဆရာများအတွက်လည်း [သင်ရိုးညွှန်းတန်း စတင်သင်ခန်းစာ](./lessons/0-course-setup/for-teachers.md) တစ်ခုကို ဖန်တီးထားပါသည်။
|
||||
- [VSCode သို့မဟုတ် Codepace တွင် ကုဒ်ကို အလုပ်လုပ်ရန်](./lessons/0-course-setup/how-to-run.md) နည်းလမ်း
|
||||
|
||||
ဤအဆင့်များကို လိုက်နာပါ-
|
||||
|
||||
|
|
@ -136,21 +136,21 @@ Repository ကို Fork လုပ်ပါ- ဤစာမျက်နှာ၏
|
|||
|
||||
Repository ကို Clone လုပ်ပါ- `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
ဤ repo ကို နောက်မှ လွယ်ကူစွာ ရှာဖွေရန်အတွက် star (🌟) လုပ်ရန် မမေ့ပါနှင့်။
|
||||
ဤ repo ကို နောက်မှ လွယ်ကူစွာ ရှာဖွေရန်အတွက် star (🌟) ထားရန် မမေ့ပါနှင့်။
|
||||
|
||||
## အခြား သင်ယူသူများနှင့် တွေ့ဆုံပါ
|
||||
|
||||
ဤသင်တန်းကို လေ့လာနေသော အခြား သင်ယူသူများနှင့် တွေ့ဆုံပြီး ဆက်သွယ်ရန်နှင့် အကူအညီရရန် [တရားဝင် AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ကို ဝင်ပါ။
|
||||
ဤသင်တန်းကို လေ့လာနေသော အခြား သင်ယူသူများနှင့် တွေ့ဆုံရန်နှင့် အကူအညီရရန် [တရားဝင် AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ကို ဝင်ပါ။
|
||||
|
||||
ထုတ်ကုန်အကြံပြုချက်များ သို့မဟုတ် တည်ဆောက်နေစဉ် မေးခွန်းများရှိပါက [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ သွားပါ။
|
||||
ထုတ်ကုန်အကြံပြုချက်များ သို့မဟုတ် ဖန်တီးနေစဉ် မေးခွန်းများရှိပါက [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ သွားပါ။
|
||||
|
||||
## မေးခွန်းများ
|
||||
## မေးခွန်းများ
|
||||
|
||||
> **မေးခွန်းများအကြောင်း မှတ်ချက်**: မေးခွန်းအားလုံးကို Quiz-app ဖိုလ်ဒါ etc\quiz-app တွင် သို့မဟုတ် [အွန်လိုင်းတွင်](https://ff-quizzes.netlify.app/) တွေ့နိုင်ပါသည်။ မေးခွန်းများကို သင်ခန်းစာများတွင် ချိတ်ဆက်ထားပြီး quiz app ကို ဒေသတွင်းတွင် အလုပ်လုပ်စေခြင်း သို့မဟုတ် Azure သို့ တင်သွင်းနိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါတွင် လမ်းညွှန်ချက်များကို လိုက်နာပါ။ မေးခွန်းများကို တဖြည်းဖြည်း ဒေသခံပြုလုပ်နေပါသည်။
|
||||
> **မေးခွန်းများအကြောင်း မှတ်ချက်**: မေးခွန်းအားလုံးကို Quiz-app ဖိုလ်ဒါ etc\quiz-app တွင် သို့မဟုတ် [အွန်လိုင်းတွင်](https://ff-quizzes.netlify.app/) တွေ့နိုင်ပါသည်။ မေးခွန်းများကို သင်ခန်းစာများတွင် ချိတ်ဆက်ထားပြီး quiz app ကို ဒေသတွင်းတွင် အလုပ်လုပ်စေခြင်း သို့မဟုတ် Azure သို့ တင်နိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါတွင် လမ်းညွှန်ချက်များကို လိုက်နာပါ။ မေးခွန်းများကို တဖြည်းဖြည်း ဒေသခံပြုလုပ်နေပါသည်။
|
||||
|
||||
## အကူအညီလိုအပ်သည်
|
||||
|
||||
အကြံပြုချက်များရှိပါသလား သို့မဟုတ် စာလုံးပေါင်း သို့မဟုတ် ကုဒ်အမှားများကို ရှာဖွေတွေ့ရှိပါသလား? Issue တစ်ခုကို ထူထောင်ပါ သို့မဟုတ် pull request တစ်ခုကို ဖန်တီးပါ။
|
||||
အကြံပြုချက်များရှိပါသလား သို့မဟုတ် စာလုံးပေါင်း သို့မဟုတ် ကုဒ်အမှားများကို ရှာဖွေပါသလား? Issue တစ်ခုကို ထူထောင်ပါ သို့မဟုတ် pull request တစ်ခုကို ဖန်တီးပါ။
|
||||
|
||||
## အထူးကျေးဇူးတင်ပါသည်
|
||||
|
||||
|
|
@ -160,9 +160,15 @@ Repository ကို Clone လုပ်ပါ- `git clone https://github.com/mic
|
|||
* **✅ မေးခွန်းဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 အဓိကပံ့ပိုးသူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## အခြား သင်ရိုးများ
|
||||
## အခြား သင်ရိုးညွှန်းတန်းများ
|
||||
|
||||
ကျွန်ုပ်တို့၏အဖွဲ့သည် အခြား သင်ရိုးများကိုလည်း ထုတ်လုပ်ပါသည်။ ကြည့်ပါ-
|
||||
ကျွန်ုပ်တို့၏အဖွဲ့သည် အခြား သင်ရိုးညွှန်းတန်းများကိုလည်း ထုတ်လုပ်ပါသည်။ ကြည့်ပါ-
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,17 +204,17 @@ Repository ကို Clone လုပ်ပါ- `git clone https://github.com/mic
|
|||
|
||||
## အကူအညီရယူခြင်း
|
||||
|
||||
AI အက်ပ်များ တည်ဆောက်ရာတွင် အခက်အခဲရှိပါက သို့မဟုတ် မေးခွန်းများရှိပါက MCP အကြောင်းအရာများကို ဆွေးနွေးရန် fellow learners နှင့် အတွေ့အကြုံရှိ ဖွံ့ဖြိုးရေးသူများနှင့် ပူးပေါင်းပါ။ ဤသည်မှာ မေးခွန်းများကို ကြိုဆိုပြီး အသိပညာကို လွတ်လပ်စွာ မျှဝေသော ပံ့ပိုးမှုရှိသော အသိုင်းအဝိုင်းဖြစ်သည်။
|
||||
AI အက်ပ်များ ဖန်တီးရာတွင် အခက်အခဲရှိပါက သို့မဟုတ် မေးခွန်းများရှိပါက MCP အကြောင်းအရာများကို ဆွေးနွေးရန် fellow learners နှင့် အတွေ့အကြုံရှိ ဖွံ့ဖြိုးရေးသူများနှင့် ပူးပေါင်းပါ။ ဤသည်မှာ မေးခွန်းများကို ကြိုဆိုပြီး အသိပညာကို လွတ်လပ်စွာ မျှဝေသော ပံ့ပိုးမှုရှိသော အသိုင်းအဝိုင်းဖြစ်ပါသည်။
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
ထုတ်ကုန်အကြံပြုချက်များ သို့မဟုတ် တည်ဆောက်နေစဉ် အမှားများရှိပါက-
|
||||
ထုတ်ကုန်အကြံပြုချက်များ သို့မဟုတ် ဖန်တီးစဉ် အမှားများရှိပါက-
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**အကြောင်းကြားချက်**:
|
||||
ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ကို အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှုအတွက် ကြိုးစားနေသော်လည်း အလိုအလျောက် ဘာသာပြန်မှုများတွင် အမှားများ သို့မဟုတ် မတိကျမှုများ ပါဝင်နိုင်သည်ကို သတိပြုပါ။ မူရင်းဘာသာစကားဖြင့် ရေးသားထားသော စာရွက်စာတမ်းကို အာဏာတရ အရင်းအမြစ်အဖြစ် သတ်မှတ်သင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူက ဘာသာပြန်မှုကို အသုံးပြုရန် အကြံပြုပါသည်။ ဤဘာသာပြန်မှုကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော အလွဲအမှားများ သို့မဟုတ် အနားလွဲမှုများအတွက် ကျွန်ုပ်တို့သည် တာဝန်မယူပါ။
|
||||
**ဝန်ခံချက်**:
|
||||
ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ကို အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှန်ကန်မှုအတွက် ကြိုးစားနေသော်လည်း၊ အလိုအလျောက်ဘာသာပြန်ခြင်းတွင် အမှားများ သို့မဟုတ် မမှန်ကန်မှုများ ပါဝင်နိုင်သည်ကို သတိပြုပါ။ မူလဘာသာစကားဖြင့် ရေးသားထားသော စာရွက်စာတမ်းကို အာဏာတည်သော ရင်းမြစ်အဖြစ် သတ်မှတ်သင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူ့ဘာသာပြန်ပညာရှင်များကို အသုံးပြုရန် အကြံပြုပါသည်။ ဤဘာသာပြန်ကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော နားလည်မှုမှားများ သို့မဟုတ် အဓိပ္ပါယ်မှားများအတွက် ကျွန်ုပ်တို့ တာဝန်မယူပါ။
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:32:32+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:16:12+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ne"
|
||||
}
|
||||
|
|
@ -34,7 +34,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
#### GitHub Action मार्फत समर्थित (स्वचालित र सधैं अद्यावधिक)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गेरियन](../bg/README.md) | [बर्मेली (म्यानमार)](../my/README.md) | [चिनियाँ (सरलीकृत)](../zh/README.md) | [चिनियाँ (पारम्परिक, हङकङ)](../hk/README.md) | [चिनियाँ (पारम्परिक, मकाउ)](../mo/README.md) | [चिनियाँ (पारम्परिक, ताइवान)](../tw/README.md) | [क्रोएसियन](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रान्सेली](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिन्दी](../hi/README.md) | [हंगेरी](../hu/README.md) | [इन्डोनेसियन](../id/README.md) | [इटालियन](../it/README.md) | [जापानी](../ja/README.md) | [कन्नड](../kn/README.md) | [कोरियन](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मलयालम](../ml/README.md) | [मराठी](../mr/README.md) | [नेपाली](./README.md) | [नाइजेरियन पिजिन](../pcm/README.md) | [नर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पोर्चुगिज (ब्राजिल)](../br/README.md) | [पोर्चुगिज (पोर्चुगल)](../pt/README.md) | [पञ्जाबी (गुरमुखी)](../pa/README.md) | [रोमानियन](../ro/README.md) | [रुसी](../ru/README.md) | [सर्बियन (सिरिलिक)](../sr/README.md) | [स्लोभाक](../sk/README.md) | [स्लोभेनियन](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्विडिश](../sv/README.md) | [टागालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [तेलुगु](../te/README.md) | [थाई](../th/README.md) | [टर्किश](../tr/README.md) | [युक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [भियतनामी](../vi/README.md)
|
||||
[अरबी](../ar/README.md) | [बंगाली](../bn/README.md) | [बुल्गेरियन](../bg/README.md) | [बर्मेली (म्यानमार)](../my/README.md) | [चिनियाँ (सरलीकृत)](../zh/README.md) | [चिनियाँ (पारम्परिक, हङकङ)](../hk/README.md) | [चिनियाँ (पारम्परिक, मकाउ)](../mo/README.md) | [चिनियाँ (पारम्परिक, ताइवान)](../tw/README.md) | [क्रोएसियन](../hr/README.md) | [चेक](../cs/README.md) | [डेनिश](../da/README.md) | [डच](../nl/README.md) | [एस्टोनियन](../et/README.md) | [फिनिश](../fi/README.md) | [फ्रान्सेली](../fr/README.md) | [जर्मन](../de/README.md) | [ग्रीक](../el/README.md) | [हिब्रू](../he/README.md) | [हिन्दी](../hi/README.md) | [हंगेरीयन](../hu/README.md) | [इन्डोनेसियन](../id/README.md) | [इटालियन](../it/README.md) | [जापानी](../ja/README.md) | [कन्नड](../kn/README.md) | [कोरियन](../ko/README.md) | [लिथुआनियन](../lt/README.md) | [मलय](../ms/README.md) | [मलयालम](../ml/README.md) | [मराठी](../mr/README.md) | [नेपाली](./README.md) | [नाइजेरियन पिजिन](../pcm/README.md) | [नर्वेजियन](../no/README.md) | [फारसी (फारसी)](../fa/README.md) | [पोलिश](../pl/README.md) | [पोर्चुगिज (ब्राजिल)](../br/README.md) | [पोर्चुगिज (पोर्चुगल)](../pt/README.md) | [पञ्जाबी (गुरमुखी)](../pa/README.md) | [रोमानियन](../ro/README.md) | [रुसी](../ru/README.md) | [सर्बियन (सिरिलिक)](../sr/README.md) | [स्लोभाक](../sk/README.md) | [स्लोभेनियन](../sl/README.md) | [स्पेनिश](../es/README.md) | [स्वाहिली](../sw/README.md) | [स्विडिश](../sv/README.md) | [टागालोग (फिलिपिनो)](../tl/README.md) | [तमिल](../ta/README.md) | [तेलुगु](../te/README.md) | [थाई](../th/README.md) | [टर्किश](../tr/README.md) | [युक्रेनी](../uk/README.md) | [उर्दू](../ur/README.md) | [भियतनामी](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**यदि तपाईं थप अनुवादहरू चाहनुहुन्छ भने, यहाँ सूचीबद्ध भाषाहरू [यहाँ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) हेर्नुहोस्।**
|
||||
|
|
@ -49,8 +49,8 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
यस पाठ्यक्रममा, तपाईंले सिक्नुहुनेछ:
|
||||
|
||||
* कृत्रिम बुद्धिमत्ताका विभिन्न दृष्टिकोणहरू, जस्तै "पुरानो" प्रतीकात्मक दृष्टिकोण **ज्ञान प्रतिनिधित्व** र तर्कसहित ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **न्यूरल नेटवर्कहरू** र **डीप लर्निङ**, जुन आधुनिक AI को केन्द्रमा छन्। हामी यी महत्त्वपूर्ण विषयहरूको अवधारणाहरू दुई लोकप्रिय फ्रेमवर्कहरू - [TensorFlow](http://Tensorflow.org) र [PyTorch](http://pytorch.org) मा कोड प्रयोग गरेर व्याख्या गर्नेछौं।
|
||||
* छविहरू र पाठसँग काम गर्नका लागि **न्यूरल आर्किटेक्चरहरू**। हामी हालका मोडेलहरू समेट्नेछौं तर अत्याधुनिक मोडेलहरूमा अलि कमी हुन सक्छ।
|
||||
* **न्यूरल नेटवर्कहरू** र **डीप लर्निङ**, जुन आधुनिक AI को केन्द्रमा छन्। हामी यी महत्त्वपूर्ण विषयहरूको अवधारणाहरू [TensorFlow](http://Tensorflow.org) र [PyTorch](http://pytorch.org) जस्ता लोकप्रिय फ्रेमवर्कहरूमा कोड प्रयोग गरेर देखाउनेछौं।
|
||||
* छविहरू र पाठसँग काम गर्नका लागि **न्यूरल आर्किटेक्चरहरू**। हामी हालका मोडेलहरू समेट्नेछौं तर अत्याधुनिकमा अलिकति कमी हुन सक्छ।
|
||||
* कम लोकप्रिय AI दृष्टिकोणहरू, जस्तै **जेनेटिक एल्गोरिदमहरू** र **मल्टि-एजेन्ट सिस्टमहरू**।
|
||||
|
||||
यस पाठ्यक्रममा हामीले समेट्ने छैनौं:
|
||||
|
|
@ -59,10 +59,10 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
* **व्यवसायमा AI को प्रयोग** को व्यापारिक केसहरू। [व्यवसाय प्रयोगकर्ताहरूका लागि AI को परिचय](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग लिनुहोस्, वा [AI व्यवसाय स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), जुन [INSEAD](https://www.insead.edu/) सँगको सहकार्यमा विकास गरिएको हो।
|
||||
* **क्लासिक मेसिन लर्निङ**, जुन हाम्रो [सुरुवातकर्ताहरूका लागि मेसिन लर्निङ पाठ्यक्रम](http://github.com/Microsoft/ML-for-Beginners) मा राम्रोसँग वर्णन गरिएको छ।
|
||||
* **[कग्निटिभ सर्भिसेस](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** प्रयोग गरेर बनाइएका व्यावहारिक AI अनुप्रयोगहरू। यसका लागि, हामी तपाईंलाई Microsoft Learn मा [दृष्टि](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [प्राकृतिक भाषा प्रशोधन](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI सेवा संग जेनेरेटिभ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** र अन्यका लागि मोड्युलहरू सुरु गर्न सिफारिस गर्छौं।
|
||||
* **[कग्निटिभ सर्भिसेस](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** प्रयोग गरेर बनाइएका व्यावहारिक AI अनुप्रयोगहरू। यसका लागि, हामी तपाईंलाई Microsoft Learn का [दृष्टि](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [प्राकृतिक भाषा प्रशोधन](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI सेवा संग जेनेरेटिभ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** र अन्य मोड्युलहरूबाट सुरु गर्न सिफारिस गर्दछौं।
|
||||
* विशिष्ट ML **क्लाउड फ्रेमवर्कहरू**, जस्तै [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), वा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) र [Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्गहरू प्रयोग गर्न विचार गर्नुहोस्।
|
||||
* **संवादात्मक AI** र **च्याट बटहरू**। यसका लागि छुट्टै [संवादात्मक AI समाधानहरू सिर्जना गर्नुहोस्](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग छ, र थप विवरणका लागि [यो ब्लग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) हेर्न सक्नुहुन्छ।
|
||||
* **डीप लर्निङको गहिरो गणित**। यसका लागि, हामी [डीप लर्निङ](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) इयान गुडफेलो, योशुआ बेन्जियो र आरोन कर्भिलद्वारा सिफारिस गर्छौं, जुन [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) मा अनलाइन पनि उपलब्ध छ।
|
||||
* **डीप लर्निङको गहिरो गणित**। यसका लागि, हामी [डीप लर्निङ](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) इयान गुडफेलो, योशुआ बेन्जियो र आरोन कर्भिलद्वारा सिफारिस गर्दछौं, जुन [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) मा अनलाइन पनि उपलब्ध छ।
|
||||
|
||||
_क्लाउडमा AI_ विषयहरूको कोमल परिचयका लागि, तपाईं [Azure मा कृत्रिम बुद्धिमत्तासँग सुरु गर्नुहोस्](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग लिन विचार गर्न सक्नुहुन्छ।
|
||||
|
||||
|
|
@ -77,62 +77,62 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
| 02 | [ज्ञान प्रतिनिधित्व र विशेषज्ञ प्रणालीहरू](./lessons/2-Symbolic/README.md) | [विशेषज्ञ प्रणालीहरू](./lessons/2-Symbolic/Animals.ipynb) / [ओन्टोलोजी](./lessons/2-Symbolic/FamilyOntology.ipynb) /[अवधारणा ग्राफ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**न्यूरल नेटवर्कहरूको परिचय**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [पर्सेप्ट्रोन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [मल्टि-लेयर्ड पर्सेप्ट्रोन र आफ्नै फ्रेमवर्क बनाउने](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [फ्रेमवर्क्स (PyTorch/TensorFlow) र ओभरफिटिङको परिचय](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 04 | [मल्टि-लेयर पर्सेप्ट्रोन र आफ्नै फ्रेमवर्क बनाउने](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [फ्रेमवर्क्स (PyTorch/TensorFlow) को परिचय र ओभरफिटिङ](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**कम्प्युटर भिजन**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure मा कम्प्युटर भिजन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [कम्प्युटर भिजनको परिचय। OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नोटबुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [कन्भोलुसनल न्युरल नेटवर्क्स](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चरहरू](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [पूर्व-प्रशिक्षित नेटवर्कहरू र ट्रान्सफर लर्निङ](./lessons/4-ComputerVision/08-TransferLearning/README.md) र [प्रशिक्षणका ट्रिक्सहरू](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [पूर्व-प्रशिक्षित नेटवर्क्स र ट्रान्सफर लर्निङ](./lessons/4-ComputerVision/08-TransferLearning/README.md) र [प्रशिक्षणका तरिकाहरू](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [अटोइन्कोडरहरू र VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [जेनेरेटिभ एड्भर्सेरियल नेटवर्क्स र आर्टिस्टिक स्टाइल ट्रान्सफर](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [अवजेक्ट डिटेक्सन](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [सेम्यान्टिक सेग्मेन्टेसन। U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| 10 | [जेनेरेटिभ एड्भर्सेरियल नेटवर्क्स र कलात्मक शैली ट्रान्सफर](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [वस्तु पहिचान](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [सामान्य खण्डीकरण। U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**प्राकृतिक भाषा प्रशोधन**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure मा प्राकृतिक भाषा प्रशोधन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [पाठ प्रतिनिधित्व। Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [सेम्यान्टिक शब्द एम्बेडिङ। Word2Vec र GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [भाषा मोडेलिङ। आफ्नै एम्बेडिङ प्रशिक्षण गर्नुहोस्](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [रेकरेन्ट न्युरल नेटवर्क्स](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [जेनेरेटिभ रेकरेन्ट नेटवर्क्स](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 14 | [सामान्य शब्द एम्बेडिङ। Word2Vec र GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [भाषा मोडलिङ। आफ्नै एम्बेडिङ प्रशिक्षण गर्नुहोस्](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [पुनरावर्ती न्युरल नेटवर्क्स](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [जेनेरेटिभ पुनरावर्ती नेटवर्क्स](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [ट्रान्सफर्मर्स। BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [नेम्ड इन्टिटी रिकग्निशन](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [ठूला भाषा मोडेलहरू, प्रम्प्ट प्रोग्रामिङ र Few-Shot कार्यहरू](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 19 | [नामित इकाई पहिचान](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [ठूलो भाषा मोडलहरू, प्रम्प्ट प्रोग्रामिङ र थोरै-शट कार्यहरू](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **अन्य AI प्रविधिहरू** || |
|
||||
| 21 | [जेनेटिक एल्गोरिदमहरू](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नोटबुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [डीप रिइन्फोर्समेन्ट लर्निङ](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [प्रयोगशाला](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [मल्टि-एजेन्ट सिस्टमहरू](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 23 | [मल्टि-एजेन्ट प्रणालीहरू](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI नैतिकता** | | |
|
||||
| 24 | [AI नैतिकता र जिम्मेवार AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: जिम्मेवार AI सिद्धान्तहरू](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **थप सामग्रीहरू** | | |
|
||||
| 25 | [मल्टि-मोडल नेटवर्कहरू, CLIP र VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नोटबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [मल्टि-मोडल नेटवर्क्स, CLIP र VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नोटबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## प्रत्येक पाठमा समावेश छ
|
||||
|
||||
* पूर्व-पढाइ सामग्री
|
||||
* कार्यान्वयन योग्य Jupyter नोटबुकहरू, जुन प्रायः फ्रेमवर्क (**PyTorch** वा **TensorFlow**) का लागि विशिष्ट हुन्छन्। कार्यान्वयन योग्य नोटबुकमा धेरै सैद्धान्तिक सामग्री पनि समावेश छ, त्यसैले विषयलाई बुझ्न तपाईंले कम्तिमा एउटा संस्करण (PyTorch वा TensorFlow) को नोटबुक हेर्नु आवश्यक छ।
|
||||
* **प्रयोगशालाहरू** केही विषयहरूका लागि उपलब्ध छन्, जसले तपाईंले सिकेको सामग्रीलाई विशेष समस्यामा लागू गर्ने अवसर दिन्छ।
|
||||
* केही खण्डहरूमा [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मा सम्बन्धित विषयहरू समेटिएका लिंकहरू समावेश छन्।
|
||||
* कार्यान्वयन योग्य Jupyter नोटबुकहरू, जुन प्रायः फ्रेमवर्क (**PyTorch** वा **TensorFlow**) का लागि विशिष्ट हुन्छन्। कार्यान्वयन योग्य नोटबुकमा धेरै सैद्धान्तिक सामग्री पनि समावेश छ, त्यसैले विषयलाई बुझ्नको लागि कम्तिमा एक संस्करणको नोटबुक (PyTorch वा TensorFlow) हेर्नु आवश्यक छ।
|
||||
* **प्रयोगशालाहरू** केही विषयहरूका लागि उपलब्ध छन्, जसले तपाईंलाई सिकेको सामग्रीलाई विशेष समस्यामा लागू गर्ने अवसर दिन्छ।
|
||||
* केही खण्डहरूमा [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मा सम्बन्धित विषयहरू समेट्ने लिंकहरू समावेश छन्।
|
||||
|
||||
## सुरु गर्दै
|
||||
|
||||
### 🎯 AI मा नयाँ हुनुहुन्छ? यहाँबाट सुरु गर्नुहोस्!
|
||||
|
||||
यदि तपाईं AI मा पूर्ण रूपमा नयाँ हुनुहुन्छ र छिटो, व्यावहारिक उदाहरणहरू चाहनुहुन्छ भने, हाम्रो [**सुरुवाती-अनुकूल उदाहरणहरू**](./examples/README.md) हेर्नुहोस्! यी समावेश छन्:
|
||||
यदि तपाईं AI मा बिल्कुल नयाँ हुनुहुन्छ र छिटो, व्यावहारिक उदाहरणहरू चाहनुहुन्छ भने हाम्रो [**सुरुवाती-अनुकूल उदाहरणहरू**](./examples/README.md) हेर्नुहोस्! यी समावेश छन्:
|
||||
|
||||
- 🌟 **Hello AI World** - तपाईंको पहिलो AI प्रोग्राम (प्याटर्न पहिचान)
|
||||
- 🧠 **साधारण न्युरल नेटवर्क** - सुरुबाट न्युरल नेटवर्क निर्माण गर्नुहोस्
|
||||
- 🌟 **Hello AI World** - तपाईंको पहिलो AI कार्यक्रम (प्याटर्न पहिचान)
|
||||
- 🧠 **साधारण न्युरल नेटवर्क** - स्क्र्याचबाट न्युरल नेटवर्क बनाउनुहोस्
|
||||
- 🖼️ **इमेज क्लासिफायर** - विस्तृत टिप्पणीहरूसहित छविहरू वर्गीकरण गर्नुहोस्
|
||||
- 💬 **पाठ भावना** - सकारात्मक/नकारात्मक पाठको विश्लेषण गर्नुहोस्
|
||||
|
||||
यी उदाहरणहरूले तपाईंलाई पूर्ण पाठ्यक्रममा प्रवेश गर्नु अघि एआई अवधारणाहरू बुझ्न मद्दत गर्न डिजाइन गरिएका छन्।
|
||||
यी उदाहरणहरूले तपाईंलाई पूर्ण पाठ्यक्रममा प्रवेश गर्नु अघि AI अवधारणाहरू बुझ्न मद्दत गर्न डिजाइन गरिएको हो।
|
||||
|
||||
### 📚 पूर्ण पाठ्यक्रम सेटअप
|
||||
|
||||
- हामीले तपाईंको विकास वातावरण सेटअप गर्न मद्दत गर्न [सेटअप पाठ](./lessons/0-course-setup/setup.md) तयार गरेका छौं। - शिक्षकहरूको लागि, हामीले [पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) पनि तयार गरेका छौं!
|
||||
- हामीले तपाईंको विकास वातावरण सेटअप गर्न मद्दत गर्न [सेटअप पाठ](./lessons/0-course-setup/setup.md) तयार गरेका छौं। - शिक्षकहरूको लागि, हामीले तपाईंहरूको लागि [पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) पनि तयार गरेका छौं!
|
||||
- [VSCode वा Codepace मा कोड कसरी चलाउने](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
यी चरणहरू पालना गर्नुहोस्:
|
||||
|
||||
रेपोजिटरी फोर्क गर्नुहोस्: यस पृष्ठको माथि दायाँ कुनामा रहेको "Fork" बटनमा क्लिक गर्नुहोस्।
|
||||
रेपोजिटरी फोर्क गर्नुहोस्: यस पृष्ठको माथि-दायाँ कुनामा रहेको "Fork" बटनमा क्लिक गर्नुहोस्।
|
||||
|
||||
रेपोजिटरी क्लोन गर्नुहोस्: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
|
|
@ -142,15 +142,15 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
|
||||
हाम्रो [औपचारिक AI Discord सर्भर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मा सामेल हुनुहोस्, जहाँ तपाईं यस कोर्स लिने अन्य सिक्नेहरूसँग भेट्न र नेटवर्क गर्न सक्नुहुन्छ र सहयोग प्राप्त गर्न सक्नुहुन्छ।
|
||||
|
||||
यदि तपाईंलाई उत्पादन सम्बन्धी प्रतिक्रिया वा निर्माण गर्दा कुनै प्रश्नहरू छन् भने हाम्रो [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) मा जानुहोस्।
|
||||
यदि तपाईंलाई उत्पादन सम्बन्धी प्रतिक्रिया वा निर्माण गर्दा प्रश्नहरू छन् भने हाम्रो [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) मा जानुहोस्।
|
||||
|
||||
## क्विजहरू
|
||||
|
||||
> **क्विजहरूको बारेमा नोट**: सबै क्विजहरू Quiz-app फोल्डरमा etc\quiz-app मा छन्, वा [अनलाइन यहाँ](https://ff-quizzes.netlify.app/)। ती पाठहरू भित्र लिंक गरिएका छन्। क्विज एपलाई स्थानीय रूपमा चलाउन वा Azure मा डिप्लोय गर्न सकिन्छ; `quiz-app` फोल्डरमा निर्देशनहरू पालना गर्नुहोस्। ती क्रमशः स्थानीयकरण हुँदैछन्।
|
||||
|
||||
## सहयोग आवश्यक छ
|
||||
## सहयोग चाहिन्छ
|
||||
|
||||
के तपाईंसँग सुझावहरू छन् वा कुनै वर्तनी वा कोड त्रुटि फेला पारेको छ? कृपया एउटा समस्या उठाउनुहोस् वा पुल अनुरोध सिर्जना गर्नुहोस्।
|
||||
के तपाईंसँग सुझावहरू छन् वा वर्तनी वा कोड त्रुटिहरू फेला पार्नुभएको छ? एउटा इश्यू उठाउनुहोस् वा पुल अनुरोध सिर्जना गर्नुहोस्।
|
||||
|
||||
## विशेष धन्यवाद
|
||||
|
||||
|
|
@ -158,13 +158,19 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
* **🔥 सम्पादक:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 स्केच नोट चित्रकार:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ क्विज सिर्जनाकर्ता:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 मुख्य योगदानकर्ता:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 मुख्य योगदानकर्ताहरू:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## अन्य पाठ्यक्रमहरू
|
||||
|
||||
हाम्रो टोलीले अन्य पाठ्यक्रमहरू पनि उत्पादन गर्दछ! हेर्नुहोस्:
|
||||
|
||||
### Azure / Edge / MCP / एजेन्टहरू
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -172,7 +178,7 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
|
||||
---
|
||||
|
||||
### जेनेरेटिभ एआई श्रृंखला
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -191,18 +197,18 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
|
||||
---
|
||||
|
||||
### कोपाइलट श्रृंखला
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## सहयोग प्राप्त गर्नुहोस्
|
||||
|
||||
यदि तपाईं अड्किनुहुन्छ वा एआई एप्स निर्माणको बारेमा कुनै प्रश्न छ भने, अन्य सिक्नेहरू र अनुभवी विकासकर्ताहरूसँग छलफलमा सामेल हुनुहोस्। यो एक सहयोगी समुदाय हो जहाँ प्रश्नहरूलाई स्वागत गरिन्छ र ज्ञान स्वतन्त्र रूपमा साझा गरिन्छ।
|
||||
यदि तपाईं अड्किनुहुन्छ वा AI एप्स निर्माणको बारेमा कुनै प्रश्न छ भने, अन्य सिक्नेहरू र अनुभवी विकासकर्ताहरूसँग छलफलमा सामेल हुनुहोस्। यो एक सहयोगी समुदाय हो जहाँ प्रश्नहरूलाई स्वागत गरिन्छ र ज्ञान स्वतन्त्र रूपमा साझा गरिन्छ।
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
यदि तपाईंलाई उत्पादन सम्बन्धी प्रतिक्रिया वा निर्माण गर्दा त्रुटिहरू छन् भने, यहाँ जानुहोस्:
|
||||
यदि तपाईंलाई उत्पादन सम्बन्धी प्रतिक्रिया वा निर्माण गर्दा त्रुटिहरू छन् भने यहाँ जानुहोस्:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ _क्लाउडमा AI_ विषयहरूको कोमल परि
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**अस्वीकरण**:
|
||||
यो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको छ। हामी शुद्धताको लागि प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छ। यसको मूल भाषा मा रहेको मूल दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीको लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुनेछैनौं।
|
||||
यो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरी अनुवाद गरिएको हो। हामी यथासम्भव शुद्धता सुनिश्चित गर्न प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छन्। यसको मूल भाषामा रहेको मूल दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीका लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:55:31+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:36:57+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "nl"
|
||||
}
|
||||
|
|
@ -11,9 +11,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
|
|
@ -29,7 +29,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-lessen curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is geschikt voor beginners en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in AI.
|
||||
|
||||
### 🌐 Ondersteuning voor meerdere talen
|
||||
### 🌐 Meertalige Ondersteuning
|
||||
|
||||
#### Ondersteund via GitHub Action (Automatisch & Altijd Actueel)
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-les
|
|||
[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh/README.md) | [Chinees (Traditioneel, Hong Kong)](../hk/README.md) | [Chinees (Traditioneel, Macau)](../mo/README.md) | [Chinees (Traditioneel, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigeriaans Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../br/README.md) | [Portugees (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Als je extra vertalingen wilt, kun je de ondersteunde talen vinden [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Als je extra vertalingen wilt, staan de ondersteunde talen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Word lid van de community
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -49,42 +49,42 @@ Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-les
|
|||
In dit curriculum leer je:
|
||||
|
||||
* Verschillende benaderingen van Kunstmatige Intelligentie, waaronder de "goede oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neurale Netwerken** en **Deep Learning**, die de kern vormen van moderne AI. We illustreren de concepten achter deze belangrijke onderwerpen met code in twee van de meest populaire frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org).
|
||||
* **Neurale Architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen, maar kunnen enigszins achterlopen op de nieuwste ontwikkelingen.
|
||||
* **Neurale Netwerken** en **Deep Learning**, die de kern vormen van moderne AI. We illustreren de concepten achter deze belangrijke onderwerpen met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org).
|
||||
* **Neurale Architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen, maar mogelijk niet de allernieuwste.
|
||||
* Minder populaire AI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agent Systemen**.
|
||||
|
||||
Wat we niet behandelen in dit curriculum:
|
||||
|
||||
> [Vind alle aanvullende bronnen voor deze cursus in onze Microsoft Learn collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Vind alle aanvullende bronnen voor deze cursus in onze Microsoft Learn-collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Zakelijke toepassingen van **AI in Business**. Overweeg het volgen van [Introductie tot AI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) leerpad op Microsoft Learn, of [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/).
|
||||
* **Klassieke Machine Learning**, wat goed wordt beschreven in ons [Machine Learning voor Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktische AI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te beginnen met modules op Microsoft Learn voor [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatieve AI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en anderen.
|
||||
* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg het gebruik van [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) leerpaden.
|
||||
* **Conversational AI** en **Chat Bots**. Er is een apart [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) leerpad, en je kunt ook verwijzen naar [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) voor meer details.
|
||||
* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg het gebruik van [Bouw en beheer machine learning-oplossingen met Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Bouw en beheer machine learning-oplossingen met Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) leerpaden.
|
||||
* **Conversational AI** en **Chat Bots**. Er is een apart [Creëer conversational AI-oplossingen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) leerpad, en je kunt ook verwijzen naar [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) voor meer details.
|
||||
* **Diepe Wiskunde** achter deep learning. Hiervoor raden we [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan van Ian Goodfellow, Yoshua Bengio en Aaron Courville, die ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Voor een eenvoudige introductie tot _AI in de Cloud_ onderwerpen kun je overwegen het [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) leerpad te volgen.
|
||||
Voor een eenvoudige introductie tot _AI in de Cloud_ onderwerpen kun je overwegen het [Aan de slag met kunstmatige intelligentie op Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) leerpad te volgen.
|
||||
|
||||
# Inhoud
|
||||
|
||||
| | Leslink | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Les Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Cursus Setup](./lessons/0-course-setup/setup.md) | [Stel je ontwikkelomgeving in](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introductie tot AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introductie en Geschiedenis van AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolische AI** |
|
||||
| 02 | [Kennisrepresentatie en Expertsystemen](./lessons/2-Symbolic/README.md) | [Expertsystemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Kennisrepresentatie en Expert Systemen](./lessons/2-Symbolic/README.md) | [Expert Systemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introductie tot Neurale Netwerken**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Multi-layer Perceptron en het maken van ons eigen framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron en het maken van ons eigen framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introductie tot Frameworks (PyTorch/TensorFlow) en Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Ontdek Computer Vision op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introductie tot Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Convolutionele Neurale Netwerken](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architecturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Trainingsmethoden](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders en VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatieve Adversariële Netwerken & Artistieke Stijltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Generative Adversarial Networks & Artistieke Stijltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objectdetectie](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantische Segmentatie. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Natural Language Processing**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Ontdek Natural Language Processing op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -98,25 +98,25 @@ Voor een eenvoudige introductie tot _AI in de Cloud_ onderwerpen kun je overwege
|
|||
| 20 | [Grote Taalmodellen, Prompt Programming en Few-Shot Taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Andere AI-technieken** || |
|
||||
| 21 | [Genetische Algoritmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [Diepe Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Multi-Agent Systemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI Ethiek** | | |
|
||||
| 24 | [AI Ethiek en Verantwoorde AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principes voor Verantwoorde AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extra's** | | |
|
||||
| 25 | [Multi-Modale Netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Multi-Modal Netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Elke les bevat
|
||||
|
||||
* Voorbereidend leesmateriaal
|
||||
* Uitvoerbare Jupyter Notebooks, vaak specifiek voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van het notebook doorlopen (PyTorch of TensorFlow).
|
||||
* Voorafgaand leesmateriaal
|
||||
* Uitvoerbare Jupyter Notebooks, vaak specifiek voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van het notebook doornemen (PyTorch of TensorFlow).
|
||||
* **Labs** beschikbaar voor sommige onderwerpen, waarmee je de kans krijgt om het geleerde toe te passen op een specifiek probleem.
|
||||
* Sommige secties bevatten links naar [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules die gerelateerde onderwerpen behandelen.
|
||||
|
||||
## Aan de slag
|
||||
|
||||
### 🎯 Nieuw in AI? Begin hier!
|
||||
### 🎯 Nieuw met AI? Begin hier!
|
||||
|
||||
Als je helemaal nieuw bent in AI en snel praktische voorbeelden wilt zien, bekijk dan onze [**Beginner-vriendelijke Voorbeelden**](./examples/README.md)! Deze omvatten:
|
||||
Als je helemaal nieuw bent met AI en snel hands-on voorbeelden wilt, bekijk dan onze [**Beginner-Vriendelijke Voorbeelden**](./examples/README.md)! Deze bevatten:
|
||||
|
||||
- 🌟 **Hallo AI Wereld** - Je eerste AI-programma (patroonherkenning)
|
||||
- 🧠 **Eenvoudig Neuraal Netwerk** - Bouw een neuraal netwerk vanaf nul
|
||||
|
|
@ -142,11 +142,11 @@ Vergeet niet om deze repo te sterren (🌟) zodat je hem later makkelijker kunt
|
|||
|
||||
Word lid van onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere leerlingen te ontmoeten en te netwerken die deze cursus volgen en om ondersteuning te krijgen.
|
||||
|
||||
Als je productfeedback hebt of vragen hebt tijdens het bouwen, bezoek dan ons [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Als je productfeedback of vragen hebt tijdens het bouwen, bezoek dan ons [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzen
|
||||
|
||||
> **Een opmerking over quizzen**: Alle quizzen zijn te vinden in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/). Ze zijn gelinkt vanuit de lessen. De quiz-app kan lokaal worden uitgevoerd of worden gedeployed naar Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd.
|
||||
> **Een opmerking over quizzen**: Alle quizzen bevinden zich in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/). Ze zijn gelinkt vanuit de lessen. De quiz-app kan lokaal worden uitgevoerd of worden gedeployed naar Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd.
|
||||
|
||||
## Hulp Gevraagd
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Heb je suggesties of fouten in spelling of code gevonden? Open een issue of maak
|
|||
|
||||
Ons team produceert ook andere curricula! Bekijk:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ Ons team produceert ook andere curricula! Bekijk:
|
|||
|
||||
## Hulp Krijgen
|
||||
|
||||
Als je vastloopt of vragen hebt over het bouwen van AI-apps. Doe mee met andere leerlingen en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende gemeenschap waar vragen welkom zijn en kennis vrij wordt gedeeld.
|
||||
Als je vastloopt of vragen hebt over het bouwen van AI-apps. Doe mee met andere leerlingen en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende community waar vragen welkom zijn en kennis vrij wordt gedeeld.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Als je productfeedback hebt of fouten tegenkomt tijdens het bouwen, bezoek dan:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Disclaimer**:
|
||||
Dit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
|
||||
Dit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in zijn oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor cruciale informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,43 +1,43 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:52:12+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:33:45+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "no"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Kunstig intelligens for nybegynnere - Et pensum
|
||||
# Kunstig intelligens for nybegynnere - Et læreplan
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Utforsk verden av **Kunstig intelligens** (AI) med vårt 12-ukers, 24-leksjons pensum! Det inkluderer praktiske leksjoner, quizzer og laboratorier. Pensumet er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI.
|
||||
Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers læreplan med 24 leksjoner! Den inkluderer praktiske leksjoner, quizzer og laboratorier. Læreplanen er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI.
|
||||
|
||||
### 🌐 Støtte for flere språk
|
||||
|
||||
#### Støttet via GitHub Action (Automatisk og alltid oppdatert)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (Forenklet)](../zh/README.md) | [Kinesisk (Tradisjonell, Hong Kong)](../hk/README.md) | [Kinesisk (Tradisjonell, Macau)](../mo/README.md) | [Kinesisk (Tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Kannada](../kn/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeriansk Pidgin](../pcm/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (Kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)
|
||||
[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (forenklet)](../zh/README.md) | [Kinesisk (tradisjonell, Hong Kong)](../hk/README.md) | [Kinesisk (tradisjonell, Macau)](../mo/README.md) | [Kinesisk (tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Kannada](../kn/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeriansk pidgin](../pcm/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Hvis du ønsker å få støtte for flere oversettelsesspråk, er de listet opp [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Hvis du ønsker å få støtte for flere oversettelsesspråk, finner du en liste [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Bli med i fellesskapet
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -46,25 +46,25 @@ Utforsk verden av **Kunstig intelligens** (AI) med vårt 12-ukers, 24-leksjons p
|
|||
|
||||
**[Tankekart for kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
I dette pensumet vil du lære:
|
||||
I denne læreplanen vil du lære:
|
||||
|
||||
* Ulike tilnærminger til Kunstig intelligens, inkludert den "gode gamle" symbolske tilnærmingen med **Kunnskapsrepresentasjon** og resonnering ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevrale nettverk** og **Dyp læring**, som er kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige temaene med kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
|
||||
* **Nevrale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan være litt mangelfulle når det gjelder det nyeste.
|
||||
* Mindre populære AI-tilnærminger, som **Genetiske algoritmer** og **Multi-Agent Systemer**.
|
||||
* Ulike tilnærminger til kunstig intelligens, inkludert den "gode gamle" symbolske tilnærmingen med **kunnskapsrepresentasjon** og resonnering ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevrale nettverk** og **dyp læring**, som er kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige temaene med kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
|
||||
* **Nevrale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan mangle noe på det aller nyeste.
|
||||
* Mindre populære AI-tilnærminger, som **genetiske algoritmer** og **multi-agent-systemer**.
|
||||
|
||||
Hva vi ikke vil dekke i dette pensumet:
|
||||
Hva vi ikke vil dekke i denne læreplanen:
|
||||
|
||||
> [Finn alle tilleggsmaterialer for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Forretningscaser for bruk av **AI i virksomhet**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/).
|
||||
* **Klassisk maskinlæring**, som er godt beskrevet i vårt [Maskinlæring for nybegynnere pensum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Forretningscaser for bruk av **AI i næringslivet**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/).
|
||||
* **Klassisk maskinlæring**, som er godt beskrevet i vår [Maskinlæring for nybegynnere-læreplan](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktiske AI-applikasjoner bygget med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du starter med moduler på Microsoft Learn for [visjon](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre.
|
||||
* Spesifikke ML **Skyrammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsstier.
|
||||
* **Samtale-AI** og **Chat Bots**. Det finnes en egen [Lag samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også referere til [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detaljer.
|
||||
* **Dyp matematikk** bak dyp læring. For dette vil vi anbefale [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgjengelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Spesifikke ML **sky-rammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsstier.
|
||||
* **Samtale-AI** og **chatbots**. Det finnes en egen [Lag samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også referere til [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detaljer.
|
||||
* **Dyp matematikk** bak dyp læring. For dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgjengelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
For en mild introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti.
|
||||
For en enkel introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti.
|
||||
|
||||
# Innhold
|
||||
|
||||
|
|
@ -74,7 +74,7 @@ For en mild introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gan
|
|||
| I | [**Introduksjon til AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introduksjon og historie om AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symbolsk AI** |
|
||||
| 02 | [Kunnskapsrepresentasjon og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Kunnskapsrepresentasjon og ekspertssystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introduksjon til nevrale nettverk**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Flerlags Perceptron og lage vårt eget rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
|
|
@ -84,13 +84,13 @@ For en mild introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gan
|
|||
| 07 | [Konvolusjonelle nevrale nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Forhåndstrente nettverk og overføringslæring](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningsmetoder](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodere og VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generative Adversarial Networks og kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Generative Adversarial Networks & Kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektdeteksjon](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantisk segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Naturlig språkbehandling**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Utforsk naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Tekstrepresentasjon. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantiske ordinnbeddinger. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Språkmodellering. Trene dine egne innbeddinger](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 15 | [Språkmodellering. Trene dine egne embeddinger](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurrente nevrale nettverk](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generative rekurrente nettverk](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
|
|
@ -107,12 +107,12 @@ For en mild introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gan
|
|||
|
||||
## Hver leksjon inneholder
|
||||
|
||||
* Forhåndslesingsmateriale
|
||||
* Forhåndslesningsmateriale
|
||||
* Kjørbare Jupyter Notebooks, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notebooken inneholder også mye teoretisk materiale, så for å forstå emnet må du gå gjennom minst én versjon av notebooken (enten PyTorch eller TensorFlow).
|
||||
* **Labber** tilgjengelige for noen emner, som gir deg en mulighet til å prøve å anvende materialet du har lært på et spesifikt problem.
|
||||
* **Labber** tilgjengelig for noen emner, som gir deg en mulighet til å prøve å anvende materialet du har lært på et spesifikt problem.
|
||||
* Noen seksjoner inneholder lenker til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)-moduler som dekker relaterte emner.
|
||||
|
||||
## Kom i gang
|
||||
## Komme i gang
|
||||
|
||||
### 🎯 Ny innen AI? Start her!
|
||||
|
||||
|
|
@ -125,28 +125,28 @@ Hvis du er helt ny innen AI og ønsker raske, praktiske eksempler, sjekk ut vår
|
|||
|
||||
Disse eksemplene er laget for å hjelpe deg med å forstå AI-konsepter før du dykker inn i hele læreplanen.
|
||||
|
||||
### 📚 Fullstendig oppsett av læreplanen
|
||||
### 📚 Fullstendig oppsett av læreplan
|
||||
|
||||
- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [læreplan-oppsett-leksjon](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Vi har laget en [oppsettleksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [oppsettleksjon for læreplanen](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Hvordan [kjøre koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Følg disse stegene:
|
||||
Følg disse trinnene:
|
||||
|
||||
Fork repoet: Klikk på "Fork"-knappen øverst til høyre på denne siden.
|
||||
Fork repositoryen: Klikk på "Fork"-knappen øverst til høyre på denne siden.
|
||||
|
||||
Klon repoet: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Klon repositoryen: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ikke glem å stjerne (🌟) dette repoet for å finne det enklere senere.
|
||||
|
||||
## Møt andre elever
|
||||
|
||||
Bli med på vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for å møte og knytte nettverk med andre elever som tar dette kurset, og få støtte.
|
||||
Bli med i vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for å møte og nettverke med andre elever som tar dette kurset og få støtte.
|
||||
|
||||
Hvis du har produktfeedback eller spørsmål mens du bygger, besøk vårt [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizer
|
||||
## Quizer
|
||||
|
||||
> **En merknad om quizer**: Alle quizer finnes i Quiz-app-mappen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/) De er lenket fra leksjonene, og quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis lokalisert.
|
||||
> **En merknad om quizer**: Alle quizer finnes i Quiz-app-mappen i etc\quiz-app, eller [online her](https://ff-quizzes.netlify.app/). De er lenket fra leksjonene, og quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis lokalisert.
|
||||
|
||||
## Hjelp ønskes
|
||||
|
||||
|
|
@ -162,7 +162,13 @@ Har du forslag eller funnet skrivefeil eller kodefeil? Opprett en issue eller la
|
|||
|
||||
## Andre læreplaner
|
||||
|
||||
Vårt team produserer andre læreplaner! Sjekk ut:
|
||||
Teamet vårt produserer andre læreplaner! Sjekk ut:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenter
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ Vårt team produserer andre læreplaner! Sjekk ut:
|
|||
|
||||
## Få hjelp
|
||||
|
||||
Hvis du står fast eller har spørsmål om å bygge AI-apper. Bli med andre elever og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap hvor spørsmål er velkomne og kunnskap deles fritt.
|
||||
Hvis du står fast eller har spørsmål om å bygge AI-apper. Bli med andre elever og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap der spørsmål er velkomne og kunnskap deles fritt.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Hvis du har produktfeedback eller feil mens du bygger, besøk:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Ansvarsfraskrivelse**:
|
||||
Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk bør anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.
|
||||
Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi tilstreber nøyaktighet, vennligst vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk bør betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:34:43+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:18:03+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pa"
|
||||
}
|
||||
|
|
@ -21,13 +21,13 @@ CO_OP_TRANSLATOR_METADATA:
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[](https://discord.gg/nTYy5BXMWG)
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# ਸ਼ੁਰੂਆਤੀ ਲਈ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ - ਇੱਕ ਪਾਠਕ੍ਰਮ
|
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# ਸ਼ੁਰੂਆਤੀ ਲਈ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀਮਤਾ - ਇੱਕ ਪਾਠਕ੍ਰਮ
|
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|
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||
|
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|:---:|
|
||||
| ਸ਼ੁਰੂਆਤੀ ਲਈ AI - _[@girlie_mac](https://twitter.com/girlie_mac) ਵੱਲੋਂ ਬਣਾਇਆ ਗਿਆ ਸਕੈਚਨੋਟ_ |
|
||||
| ਸ਼ੁਰੂਆਤੀ ਲਈ AI - _Sketchnote [@girlie_mac](https://twitter.com/girlie_mac) ਵੱਲੋਂ_ |
|
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|
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**ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ** (AI) ਦੀ ਦੁਨੀਆ ਨੂੰ ਖੋਜੋ ਸਾਡੇ 12 ਹਫ਼ਤਿਆਂ ਦੇ, 24 ਪਾਠਾਂ ਵਾਲੇ ਪਾਠਕ੍ਰਮ ਨਾਲ! ਇਸ ਵਿੱਚ ਪ੍ਰਯੋਗਾਤਮਕ ਪਾਠ, ਪ੍ਰਸ਼ਨੋਤਰੀਆਂ ਅਤੇ ਪ੍ਰਯੋਗਸ਼ਾਲਾਵਾਂ ਸ਼ਾਮਲ ਹਨ। ਪਾਠਕ੍ਰਮ ਸ਼ੁਰੂਆਤੀ ਲਈ ਅਨੁਕੂਲ ਹੈ ਅਤੇ ਇਸ ਵਿੱਚ TensorFlow ਅਤੇ PyTorch ਵਰਗੇ ਟੂਲਾਂ ਦੇ ਨਾਲ AI ਦੇ ਨੈਤਿਕ ਮਸਲੇ ਵੀ ਸ਼ਾਮਲ ਹਨ।
|
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**ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀਮਤਾ** (AI) ਦੀ ਦੁਨੀਆ ਨੂੰ ਖੋਜੋ ਸਾਡੇ 12 ਹਫ਼ਤਿਆਂ ਦੇ, 24 ਪਾਠਾਂ ਵਾਲੇ ਪਾਠਕ੍ਰਮ ਨਾਲ! ਇਸ ਵਿੱਚ ਪ੍ਰਯੋਗਾਤਮਕ ਪਾਠ, ਪ੍ਰਸ਼ਨੋਤਰੀਆਂ ਅਤੇ ਪ੍ਰਯੋਗਸ਼ਾਲਾਵਾਂ ਸ਼ਾਮਲ ਹਨ। ਪਾਠਕ੍ਰਮ ਸ਼ੁਰੂਆਤੀ ਲਈ ਅਨੁਕੂਲ ਹੈ ਅਤੇ ਇਸ ਵਿੱਚ TensorFlow ਅਤੇ PyTorch ਵਰਗੇ ਟੂਲਾਂ ਦੇ ਨਾਲ AI ਦੇ ਨੈਤਿਕ ਮਸਲੇ ਵੀ ਸ਼ਾਮਲ ਹਨ।
|
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|
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### 🌐 ਬਹੁ-ਭਾਸ਼ਾਈ ਸਹਾਇਤਾ
|
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|
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|
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@ -48,23 +48,23 @@ CO_OP_TRANSLATOR_METADATA:
|
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|
||||
ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ, ਤੁਸੀਂ ਸਿੱਖੋਗੇ:
|
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|
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* ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ ਦੇ ਵੱਖ-ਵੱਖ ਪਹੁੰਚਾਂ, ਜਿਵੇਂ ਕਿ "ਪੁਰਾਣਾ" ਪ੍ਰਤੀਕਾਤਮਕ ਪਹੁੰਚ **ਗਿਆਨ ਪ੍ਰਸਤੁਤੀ** ਅਤੇ ਤਰਕ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀਮਤਾ ਦੇ ਵੱਖ-ਵੱਖ ਪਹੁੰਚਾਂ, ਜਿਵੇਂ ਕਿ "ਪੁਰਾਣਾ" ਪ੍ਰਤੀਕਾਤਮਕ ਪਹੁੰਚ **ਗਿਆਨ ਪ੍ਰਸਤੁਤੀ** ਅਤੇ ਤਰਕ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))।
|
||||
* **ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ** ਅਤੇ **ਡੀਪ ਲਰਨਿੰਗ**, ਜੋ ਆਧੁਨਿਕ AI ਦਾ ਕੇਂਦਰ ਹਨ। ਅਸੀਂ ਇਨ੍ਹਾਂ ਮਹੱਤਵਪੂਰਨ ਵਿਸ਼ਿਆਂ ਦੇ ਸੰਕਲਪਾਂ ਨੂੰ ਦੋ ਸਭ ਤੋਂ ਪ੍ਰਸਿੱਧ ਫਰੇਮਵਰਕਸ - [TensorFlow](http://Tensorflow.org) ਅਤੇ [PyTorch](http://pytorch.org) ਵਿੱਚ ਕੋਡ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਦਰਸਾਵਾਂਗੇ।
|
||||
* ਤਸਵੀਰਾਂ ਅਤੇ ਪਾਠਾਂ ਨਾਲ ਕੰਮ ਕਰਨ ਲਈ **ਨਿਊਰਲ ਆਰਕੀਟੈਕਚਰਸ**। ਅਸੀਂ ਹਾਲੀਆ ਮਾਡਲਾਂ ਨੂੰ ਕਵਰ ਕਰਾਂਗੇ ਪਰ ਸ਼ਾਇਦ ਸਟੇਟ-ਆਫ-ਦ-ਆਰਟ ਵਿੱਚ ਕੁਝ ਘਾਟ ਹੋਵੇ।
|
||||
* ਘੱਟ ਪ੍ਰਸਿੱਧ AI ਪਹੁੰਚਾਂ, ਜਿਵੇਂ ਕਿ **ਜੈਨੇਟਿਕ ਐਲਗੋਰਿਥਮਸ** ਅਤੇ **ਮਲਟੀ-ਏਜੰਟ ਸਿਸਟਮਸ**।
|
||||
|
||||
ਅਸੀਂ ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਕੀ ਨਹੀਂ ਕਵਰ ਕਰਾਂਗੇ:
|
||||
|
||||
> [ਇਸ ਕੋਰਸ ਲਈ ਸਾਰੇ ਵਾਧੂ ਸਰੋਤਾਂ ਨੂੰ ਸਾਡੀ Microsoft Learn ਕਲੈਕਸ਼ਨ ਵਿੱਚ ਲੱਭੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [ਇਸ ਕੋਰਸ ਲਈ ਸਾਰੇ ਵਾਧੂ ਸਰੋਤ Microsoft Learn ਕਲੈਕਸ਼ਨ ਵਿੱਚ ਲੱਭੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **ਵਪਾਰ ਵਿੱਚ AI ਦੀ ਵਰਤੋਂ** ਦੇ ਕਾਰੋਬਾਰੀ ਕੇਸ। Microsoft Learn 'ਤੇ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠਕ੍ਰਮ ਜਾਂ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ਜੋ [INSEAD](https://www.insead.edu/) ਦੇ ਸਹਿਯੋਗ ਨਾਲ ਵਿਕਸਿਤ ਕੀਤਾ ਗਿਆ ਹੈ, ਨੂੰ ਲੈਣ ਬਾਰੇ ਸੋਚੋ।
|
||||
* **ਵਪਾਰ ਵਿੱਚ AI ਦੀ ਵਰਤੋਂ** ਦੇ ਕਾਰੋਬਾਰੀ ਕੇਸ। Microsoft Learn 'ਤੇ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠ ਜਾਂ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ਜੋ [INSEAD](https://www.insead.edu/) ਦੇ ਸਹਿਯੋਗ ਨਾਲ ਵਿਕਸਿਤ ਕੀਤਾ ਗਿਆ ਹੈ, ਲੈਣ 'ਤੇ ਵਿਚਾਰ ਕਰੋ।
|
||||
* **ਕਲਾਸਿਕ ਮਸ਼ੀਨ ਲਰਨਿੰਗ**, ਜੋ ਸਾਡੇ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ਵਿੱਚ ਚੰਗੀ ਤਰ੍ਹਾਂ ਵਰਣਨ ਕੀਤਾ ਗਿਆ ਹੈ।
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਬਣਾਏ ਗਏ ਪ੍ਰੈਕਟਿਕਲ AI ਐਪਲੀਕੇਸ਼ਨ। ਇਸ ਲਈ, ਅਸੀਂ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ ਕਿ ਤੁਸੀਂ Microsoft Learn ਦੇ ਮਾਡਿਊਲਾਂ ਨਾਲ ਸ਼ੁਰੂ ਕਰੋ ਜਿਵੇਂ ਕਿ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ਅਤੇ ਹੋਰ।
|
||||
* ਖਾਸ ML **ਕਲਾਉਡ ਫਰੇਮਵਰਕਸ**, ਜਿਵੇਂ ਕਿ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ਜਾਂ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ਅਤੇ [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠਕ੍ਰਮਾਂ ਦੀ ਵਰਤੋਂ ਕਰਨ ਬਾਰੇ ਸੋਚੋ।
|
||||
* **ਕੰਵਰਸੇਸ਼ਨਲ AI** ਅਤੇ **ਚੈਟ ਬੌਟਸ**। ਇਸ ਲਈ ਇੱਕ ਵੱਖਰਾ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠਕ੍ਰਮ ਹੈ, ਅਤੇ ਤੁਸੀਂ ਹੋਰ ਵੇਰਵੇ ਲਈ [ਇਹ ਬਲੌਗ ਪੋਸਟ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ਨੂੰ ਵੀ ਦੇਖ ਸਕਦੇ ਹੋ।
|
||||
* **ਡੀਪ ਮੈਥਮੈਟਿਕਸ** ਜੋ ਡੀਪ ਲਰਨਿੰਗ ਦੇ ਪਿੱਛੇ ਹੈ। ਇਸ ਲਈ, ਅਸੀਂ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ਇਆਨ ਗੁੱਡਫੈਲੋ, ਯੋਸ਼ੂਆ ਬੈਂਜਿਓ ਅਤੇ ਐਰਨ ਕੋਰਵਿਲ ਦੁਆਰਾ, ਜੋ ਆਨਲਾਈਨ ਵੀ ਉਪਲਬਧ ਹੈ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)।
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਬਣਾਈਆਂ ਗਈਆਂ ਪ੍ਰਯੋਗਾਤਮਕ AI ਐਪਲੀਕੇਸ਼ਨ। ਇਸ ਲਈ, ਅਸੀਂ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ ਕਿ ਤੁਸੀਂ Microsoft Learn ਦੇ ਮਾਡਿਊਲਾਂ ਨਾਲ ਸ਼ੁਰੂ ਕਰੋ ਜਿਵੇਂ ਕਿ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ਅਤੇ ਹੋਰ।
|
||||
* ਖਾਸ ML **ਕਲਾਉਡ ਫਰੇਮਵਰਕਸ**, ਜਿਵੇਂ ਕਿ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ਜਾਂ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ਅਤੇ [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠਾਂ ਦੀ ਵਰਤੋਂ ਕਰਨ 'ਤੇ ਵਿਚਾਰ ਕਰੋ।
|
||||
* **ਕੰਵਰਸੇਸ਼ਨਲ AI** ਅਤੇ **ਚੈਟ ਬੌਟਸ**। ਇਸ ਲਈ ਇੱਕ ਵੱਖਰਾ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠ ਹੈ, ਅਤੇ ਤੁਸੀਂ ਹੋਰ ਵੇਰਵੇ ਲਈ [ਇਹ ਬਲੌਗ ਪੋਸਟ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ਨੂੰ ਵੀ ਦੇਖ ਸਕਦੇ ਹੋ।
|
||||
* ਡੀਪ ਲਰਨਿੰਗ ਦੇ ਪਿੱਛੇ ਦੀ **ਗਹਿਰੀ ਗਣਿਤ**। ਇਸ ਲਈ, ਅਸੀਂ ਸਿਫਾਰਸ਼ ਕਰਦੇ ਹਾਂ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ਇਆਨ ਗੁਡਫੈਲੋ, ਯੋਸ਼ੂਆ ਬੈਂਜਿਓ ਅਤੇ ਐਰਨ ਕੋਰਵਿਲ ਦੁਆਰਾ, ਜੋ ਆਨਲਾਈਨ ਵੀ ਉਪਲਬਧ ਹੈ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)।
|
||||
|
||||
ਕਲਾਉਡ ਵਿੱਚ _AI_ ਵਿਸ਼ਿਆਂ ਲਈ ਇੱਕ ਹੌਲੀ ਸ਼ੁਰੂਆਤ ਲਈ ਤੁਸੀਂ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠਕ੍ਰਮ ਲੈਣ ਬਾਰੇ ਸੋਚ ਸਕਦੇ ਹੋ।
|
||||
ਕਲਾਉਡ ਵਿੱਚ _AI_ ਦੇ ਵਿਸ਼ਿਆਂ ਲਈ ਇੱਕ ਹੌਲੀ ਸ਼ੁਰੂਆਤ ਲਈ, ਤੁਸੀਂ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਠ ਲੈਣ 'ਤੇ ਵਿਚਾਰ ਕਰ ਸਕਦੇ ਹੋ।
|
||||
|
||||
# ਸਮੱਗਰੀ
|
||||
|
||||
|
|
@ -97,18 +97,18 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 19 | [ਨੇਮਡ ਐਂਟਿਟੀ ਰਿਕਗਨਿਸ਼ਨ](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ਲੈਬ](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [ਲਾਰਜ ਲੈਂਗਵੇਜ ਮਾਡਲਸ, ਪ੍ਰੌਮਪਟ ਪ੍ਰੋਗ੍ਰਾਮਿੰਗ ਅਤੇ ਫਿਊ-ਸ਼ਾਟ ਟਾਸਕਸ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **ਹੋਰ AI ਤਕਨੀਕਾਂ** || |
|
||||
| 21 | [ਜੈਨੇਟਿਕ ਐਲਗੋਰਿਥਮਸ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ਨੋਟਬੁੱਕ](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 21 | [ਜਨੈਟਿਕ ਐਲਗੋਰਿਥਮਸ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ਨੋਟਬੁੱਕ](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [ਡੀਪ ਰੀਇਨਫੋਰਸਮੈਂਟ ਲਰਨਿੰਗ](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ਲੈਬ](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [ਮਲਟੀ-ਏਜੰਟ ਸਿਸਟਮ](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI ਨੈਤਿਕਤਾ** | | |
|
||||
| 24 | [AI ਨੈਤਿਕਤਾ ਅਤੇ ਜ਼ਿੰਮੇਵਾਰ AI](./lessons/7-Ethics/README.md) | [ਮਾਈਕਰੋਸਾਫਟ ਲਰਨ: ਜ਼ਿੰਮੇਵਾਰ AI ਸਿਧਾਂਤ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **ਵਾਧੂ** | | |
|
||||
| IX | **ਵਾਧੂ ਸਮੱਗਰੀ** | | |
|
||||
| 25 | [ਮਲਟੀ-ਮੋਡਲ ਨੈਟਵਰਕਸ, CLIP ਅਤੇ VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [ਨੋਟਬੁੱਕ](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## ਹਰ ਪਾਠ ਵਿੱਚ ਸ਼ਾਮਲ ਹੈ
|
||||
|
||||
* ਪੜ੍ਹਨ ਲਈ ਪੂਰਵ-ਸਮੱਗਰੀ
|
||||
* ਚਲਣਯੋਗ Jupyter ਨੋਟਬੁੱਕਸ, ਜੋ ਅਕਸਰ ਫਰੇਮਵਰਕ (**PyTorch** ਜਾਂ **TensorFlow**) ਲਈ ਵਿਸ਼ੇਸ਼ ਹੁੰਦੇ ਹਨ। ਚਲਣਯੋਗ ਨੋਟਬੁੱਕ ਵਿੱਚ ਬਹੁਤ ਸਾਰਾ ਸਿਧਾਂਤਕ ਸਮੱਗਰੀ ਵੀ ਹੁੰਦੀ ਹੈ, ਇਸ ਲਈ ਵਿਸ਼ੇ ਨੂੰ ਸਮਝਣ ਲਈ ਤੁਹਾਨੂੰ ਘੱਟੋ-ਘੱਟ ਨੋਟਬੁੱਕ ਦੇ ਇੱਕ ਵਰਜਨ (PyTorch ਜਾਂ TensorFlow) ਨੂੰ ਪੜ੍ਹਨਾ ਪਵੇਗਾ।
|
||||
* ਪੜ੍ਹਨ ਲਈ ਪਹਿਲਾਂ ਦੀ ਸਮੱਗਰੀ
|
||||
* ਚਲਾਉਣਯੋਗ Jupyter ਨੋਟਬੁੱਕਸ, ਜੋ ਅਕਸਰ ਫਰੇਮਵਰਕ (**PyTorch** ਜਾਂ **TensorFlow**) ਲਈ ਵਿਸ਼ੇਸ਼ ਹੁੰਦੀਆਂ ਹਨ। ਚਲਾਉਣਯੋਗ ਨੋਟਬੁੱਕ ਵਿੱਚ ਬਹੁਤ ਸਾਰਾ ਸਿਧਾਂਤਕ ਸਮੱਗਰੀ ਵੀ ਹੁੰਦੀ ਹੈ, ਇਸ ਲਈ ਵਿਸ਼ੇ ਨੂੰ ਸਮਝਣ ਲਈ ਤੁਹਾਨੂੰ ਘੱਟੋ-ਘੱਟ ਨੋਟਬੁੱਕ ਦੇ ਇੱਕ ਸੰਸਕਰਣ (PyTorch ਜਾਂ TensorFlow) ਨੂੰ ਪੜ੍ਹਨਾ ਪਵੇਗਾ।
|
||||
* ਕੁਝ ਵਿਸ਼ਿਆਂ ਲਈ ਉਪਲਬਧ **ਲੈਬਸ**, ਜੋ ਤੁਹਾਨੂੰ ਸਿੱਖੀ ਸਮੱਗਰੀ ਨੂੰ ਕਿਸੇ ਖਾਸ ਸਮੱਸਿਆ 'ਤੇ ਲਾਗੂ ਕਰਨ ਦਾ ਮੌਕਾ ਦਿੰਦੇ ਹਨ।
|
||||
* ਕੁਝ ਭਾਗਾਂ ਵਿੱਚ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ਮਾਡਿਊਲਾਂ ਦੇ ਲਿੰਕ ਸ਼ਾਮਲ ਹਨ ਜੋ ਸੰਬੰਧਿਤ ਵਿਸ਼ਿਆਂ ਨੂੰ ਕਵਰ ਕਰਦੇ ਹਨ।
|
||||
|
||||
|
|
@ -118,39 +118,39 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
ਜੇ ਤੁਸੀਂ AI ਵਿੱਚ ਪੂਰੀ ਤਰ੍ਹਾਂ ਨਵੇਂ ਹੋ ਅਤੇ ਤੇਜ਼, ਹੱਥ-ਅਨੁਭਵ ਉਦਾਹਰਣਾਂ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਸਾਡੇ [**ਬਿਗਿਨਰ-ਫ੍ਰੈਂਡਲੀ ਉਦਾਹਰਣਾਂ**](./examples/README.md) ਨੂੰ ਦੇਖੋ! ਇਹ ਸ਼ਾਮਲ ਹਨ:
|
||||
|
||||
- 🌟 **ਹੈਲੋ AI ਵਰਲਡ** - ਤੁਹਾਡਾ ਪਹਿਲਾ AI ਪ੍ਰੋਗਰਾਮ (ਪੈਟਰਨ ਪਛਾਣ)
|
||||
- 🌟 **ਹੈਲੋ AI ਵਰਲਡ** - ਤੁਹਾਡਾ ਪਹਿਲਾ AI ਪ੍ਰੋਗਰਾਮ (ਪੈਟਰਨ ਰਿਕਗਨਿਸ਼ਨ)
|
||||
- 🧠 **ਸਧਾਰਨ ਨਿਊਰਲ ਨੈਟਵਰਕ** - ਸ਼ੁਰੂ ਤੋਂ ਨਿਊਰਲ ਨੈਟਵਰਕ ਬਣਾਓ
|
||||
- 🖼️ **ਇਮੇਜ ਕਲਾਸੀਫਾਇਰ** - ਵਿਸਥਾਰਤ ਟਿੱਪਣੀਆਂ ਨਾਲ ਚਿੱਤਰਾਂ ਨੂੰ ਕਲਾਸੀਫਾਈ ਕਰੋ
|
||||
- 💬 **ਟੈਕਸਟ ਭਾਵਨਾ** - ਸਕਾਰਾਤਮਕ/ਨਕਾਰਾਤਮਕ ਟੈਕਸਟ ਦਾ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰੋ
|
||||
- 💬 **ਟੈਕਸਟ ਸੈਂਟੀਮੈਂਟ** - ਸਕਾਰਾਤਮਕ/ਨਕਾਰਾਤਮਕ ਟੈਕਸਟ ਦਾ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰੋ
|
||||
|
||||
ਇਹ ਉਦਾਹਰਨ ਤੁਹਾਨੂੰ ਪੂਰੇ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਡੁੱਬਣ ਤੋਂ ਪਹਿਲਾਂ AI ਸੰਕਲਪਾਂ ਨੂੰ ਸਮਝਣ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਬਣਾਈ ਗਈ ਹੈ।
|
||||
ਇਹ ਉਦਾਹਰਨ ਤੁਹਾਨੂੰ ਪੂਰੇ ਕੋਰਸ ਵਿੱਚ ਡੁੱਬਣ ਤੋਂ ਪਹਿਲਾਂ AI ਸੰਕਲਪਾਂ ਨੂੰ ਸਮਝਣ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਬਣਾਈ ਗਈ ਹੈ।
|
||||
|
||||
### 📚 ਪੂਰੇ ਪਾਠਕ੍ਰਮ ਦੀ ਸੈਟਅੱਪ
|
||||
### 📚 ਪੂਰੇ ਕੋਰਸ ਦੀ ਸੈਟਅੱਪ
|
||||
|
||||
- ਅਸੀਂ ਤੁਹਾਡੇ ਵਿਕਾਸ ਵਾਤਾਵਰਣ ਨੂੰ ਸੈਟਅੱਪ ਕਰਨ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਇੱਕ [ਸੈਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/setup.md) ਬਣਾਇਆ ਹੈ। - ਅਧਿਆਪਕਾਂ ਲਈ, ਅਸੀਂ ਤੁਹਾਡੇ ਲਈ ਇੱਕ [ਪਾਠਕ੍ਰਮ ਸੈਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/for-teachers.md) ਵੀ ਬਣਾਇਆ ਹੈ!
|
||||
- ਅਸੀਂ ਤੁਹਾਡੇ ਵਿਕਾਸ ਵਾਤਾਵਰਣ ਨੂੰ ਸੈਟਅੱਪ ਕਰਨ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਇੱਕ [ਸੈਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/setup.md) ਬਣਾਇਆ ਹੈ। - ਅਧਿਆਪਕਾਂ ਲਈ, ਅਸੀਂ ਤੁਹਾਡੇ ਲਈ ਇੱਕ [ਕੋਰਸ ਸੈਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/for-teachers.md) ਵੀ ਬਣਾਇਆ ਹੈ!
|
||||
- [VSCode ਜਾਂ Codepace ਵਿੱਚ ਕੋਡ ਚਲਾਉਣ ਦਾ ਤਰੀਕਾ](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
ਇਹ ਕਦਮਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ:
|
||||
|
||||
ਰੇਪੋ ਫੋਰਕ ਕਰੋ: ਇਸ ਪੰਨੇ ਦੇ ਸੱਜੇ-ਉੱਪਰ ਕੋਨੇ ਵਿੱਚ "Fork" ਬਟਨ 'ਤੇ ਕਲਿਕ ਕਰੋ।
|
||||
ਰਿਪੋਜ਼ਟਰੀ ਫੋਰਕ ਕਰੋ: ਇਸ ਪੰਨੇ ਦੇ ਸੱਜੇ-ਉਪਰਲੇ ਕੋਨੇ ਵਿੱਚ "Fork" ਬਟਨ 'ਤੇ ਕਲਿਕ ਕਰੋ।
|
||||
|
||||
ਰੇਪੋ ਕਲੋਨ ਕਰੋ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
ਰਿਪੋਜ਼ਟਰੀ ਕਲੋਨ ਕਰੋ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
ਇਸ ਰੇਪੋ ਨੂੰ ਬਾਅਦ ਵਿੱਚ ਆਸਾਨੀ ਨਾਲ ਲੱਭਣ ਲਈ 🌟 (star) ਕਰਨਾ ਨਾ ਭੁੱਲੋ।
|
||||
ਇਸ ਰਿਪੋ ਨੂੰ ਬਾਅਦ ਵਿੱਚ ਆਸਾਨੀ ਨਾਲ ਲੱਭਣ ਲਈ 🌟 (star) ਕਰਨਾ ਨਾ ਭੁੱਲੋ।
|
||||
|
||||
## ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਨਾਲ ਮਿਲੋ
|
||||
|
||||
ਸਾਡੇ [ਅਧਿਕਾਰਕ AI Discord ਸਰਵਰ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ ਤਾਂ ਜੋ ਇਸ ਕੋਰਸ ਨੂੰ ਕਰਨ ਵਾਲੇ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਨਾਲ ਮਿਲ ਸਕੋ ਅਤੇ ਸਹਾਇਤਾ ਪ੍ਰਾਪਤ ਕਰ ਸਕੋ।
|
||||
|
||||
ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਫੀਡਬੈਕ ਹੈ ਜਾਂ ਬਣਾਉਣ ਦੌਰਾਨ ਸਵਾਲ ਹਨ ਤਾਂ ਸਾਡੇ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) 'ਤੇ ਜਾਓ।
|
||||
ਜੇ ਤੁਹਾਨੂੰ ਉਤਪਾਦ ਫੀਡਬੈਕ ਜਾਂ ਸਵਾਲ ਹਨ ਜਦੋਂ ਤੁਸੀਂ ਬਣਾਉਣ ਵਿੱਚ ਹੋ, ਤਾਂ ਸਾਡੇ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) 'ਤੇ ਜਾਓ।
|
||||
|
||||
## ਕਵਿਜ਼
|
||||
|
||||
> **ਕਵਿਜ਼ਾਂ ਬਾਰੇ ਇੱਕ ਨੋਟ**: ਸਾਰੀਆਂ ਕਵਿਜ਼ਾਂ Quiz-app ਫੋਲਡਰ ਵਿੱਚ etc\quiz-app ਵਿੱਚ ਹਨ, ਜਾਂ [Online Here](https://ff-quizzes.netlify.app/)। ਇਹ ਪਾਠਾਂ ਵਿੱਚ ਲਿੰਕ ਕੀਤੀਆਂ ਗਈਆਂ ਹਨ। Quiz-app ਨੂੰ ਸਥਾਨਕ ਤੌਰ 'ਤੇ ਚਲਾਇਆ ਜਾ ਸਕਦਾ ਹੈ ਜਾਂ Azure 'ਤੇ ਡਿਪਲੌਇ ਕੀਤਾ ਜਾ ਸਕਦਾ ਹੈ; `quiz-app` ਫੋਲਡਰ ਵਿੱਚ ਦਿੱਤੇ ਨਿਰਦੇਸ਼ਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ। ਇਹ ਹੌਲੀ-ਹੌਲੀ ਸਥਾਨਕ ਭਾਸ਼ਾਵਾਂ ਵਿੱਚ ਉਪਲਬਧ ਕੀਤੀਆਂ ਜਾ ਰਹੀਆਂ ਹਨ।
|
||||
> **ਕਵਿਜ਼ਾਂ ਬਾਰੇ ਇੱਕ ਨੋਟ**: ਸਾਰੇ ਕਵਿਜ਼ Quiz-app ਫੋਲਡਰ ਵਿੱਚ etc\quiz-app ਵਿੱਚ ਹਨ, ਜਾਂ [Online Here](https://ff-quizzes.netlify.app/)। ਇਹ ਪਾਠਾਂ ਵਿੱਚ ਲਿੰਕ ਕੀਤੇ ਗਏ ਹਨ। Quiz-app ਨੂੰ ਸਥਾਨਕ ਤੌਰ 'ਤੇ ਚਲਾਇਆ ਜਾ ਸਕਦਾ ਹੈ ਜਾਂ Azure 'ਤੇ ਡਿਪਲੌਇ ਕੀਤਾ ਜਾ ਸਕਦਾ ਹੈ; `quiz-app` ਫੋਲਡਰ ਵਿੱਚ ਦਿੱਤੇ ਨਿਰਦੇਸ਼ਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ। ਇਹ ਹੌਲੀ-ਹੌਲੀ ਸਥਾਨਕ ਭਾਸ਼ਾਵਾਂ ਵਿੱਚ ਤਬਦੀਲ ਕੀਤੇ ਜਾ ਰਹੇ ਹਨ।
|
||||
|
||||
## ਮਦਦ ਦੀ ਲੋੜ ਹੈ
|
||||
## ਮਦਦ ਚਾਹੀਦੀ ਹੈ
|
||||
|
||||
ਕੀ ਤੁਹਾਡੇ ਕੋਲ ਸੁਝਾਅ ਹਨ ਜਾਂ ਕੋਈ ਸਪੈਲਿੰਗ ਜਾਂ ਕੋਡ ਦੀ ਗਲਤੀ ਲੱਭੀ ਹੈ? ਇੱਕ issue ਰੇਜ਼ ਕਰੋ ਜਾਂ pull request ਬਣਾਓ।
|
||||
ਕੀ ਤੁਹਾਡੇ ਕੋਲ ਸੁਝਾਅ ਹਨ ਜਾਂ ਕੋਈ ਸ਼ਬਦ ਜਾਂ ਕੋਡ ਦੀ ਗਲਤੀ ਲੱਭੀ ਹੈ? ਇੱਕ issue ਰੇਜ਼ ਕਰੋ ਜਾਂ pull request ਬਣਾਓ।
|
||||
|
||||
## ਵਿਸ਼ੇਸ਼ ਧੰਨਵਾਦ
|
||||
|
||||
|
|
@ -158,11 +158,17 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
* **🔥 ਸੰਪਾਦਕ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 ਸਕੈਚਨੋਟ ਇਲਸਟ੍ਰੇਟਰ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ ਕਵਿਜ਼ ਬਣਾਉਣ ਵਾਲਾ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 ਮੁੱਖ ਯੋਗਦਾਨਕਰਤਾ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 ਕੋਰ ਯੋਗਦਾਨਕਰਤਾ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## ਹੋਰ ਪਾਠਕ੍ਰਮ
|
||||
## ਹੋਰ ਕੋਰਸ
|
||||
|
||||
ਸਾਡੀ ਟੀਮ ਹੋਰ ਪਾਠਕ੍ਰਮ ਤਿਆਰ ਕਰਦੀ ਹੈ! ਚੈੱਕ ਕਰੋ:
|
||||
ਸਾਡੀ ਟੀਮ ਹੋਰ ਕੋਰਸ ਵੀ ਬਣਾਉਂਦੀ ਹੈ! ਜਾਚ ਕਰੋ:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,11 +204,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## ਮਦਦ ਪ੍ਰਾਪਤ ਕਰਨਾ
|
||||
|
||||
ਜੇ ਤੁਸੀਂ ਫਸ ਜਾਂਦੇ ਹੋ ਜਾਂ AI ਐਪਸ ਬਣਾਉਣ ਬਾਰੇ ਕੋਈ ਸਵਾਲ ਹੈ। Fellow learners ਅਤੇ ਤਜਰਬੇਕਾਰ developers ਨਾਲ MCP ਬਾਰੇ ਚਰਚਾ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ। ਇਹ ਇੱਕ ਸਹਾਇਕ community ਹੈ ਜਿੱਥੇ ਸਵਾਲਾਂ ਦਾ ਸਵਾਗਤ ਕੀਤਾ ਜਾਂਦਾ ਹੈ ਅਤੇ ਗਿਆਨ ਖੁੱਲ੍ਹੇ ਦਿਲ ਨਾਲ ਸਾਂਝਾ ਕੀਤਾ ਜਾਂਦਾ ਹੈ।
|
||||
ਜੇ ਤੁਸੀਂ ਫਸ ਜਾਂਦੇ ਹੋ ਜਾਂ AI ਐਪਸ ਬਣਾਉਣ ਬਾਰੇ ਕੋਈ ਸਵਾਲ ਹੈ। MCP ਬਾਰੇ ਚਰਚਾ ਵਿੱਚ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਅਤੇ ਅਨੁਭਵੀ ਡਿਵੈਲਪਰਾਂ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ। ਇਹ ਇੱਕ ਸਹਾਇਕ ਸਮੁਦਾਇ ਹੈ ਜਿੱਥੇ ਸਵਾਲਾਂ ਦਾ ਸਵਾਗਤ ਕੀਤਾ ਜਾਂਦਾ ਹੈ ਅਤੇ ਗਿਆਨ ਮੁਫ਼ਤ ਸਾਂਝਾ ਕੀਤਾ ਜਾਂਦਾ ਹੈ।
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਫੀਡਬੈਕ ਹੈ ਜਾਂ ਬਣਾਉਣ ਦੌਰਾਨ ਗਲਤੀਆਂ ਹਨ ਤਾਂ ਜਾਓ:
|
||||
ਜੇ ਤੁਹਾਨੂੰ ਉਤਪਾਦ ਫੀਡਬੈਕ ਜਾਂ ਗਲਤੀਆਂ ਮਿਲਦੀਆਂ ਹਨ ਜਦੋਂ ਤੁਸੀਂ ਬਣਾਉਣ ਵਿੱਚ ਹੋ, ਤਾਂ ਜਾਓ:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**ਅਸਵੀਕਰਤੀ**:
|
||||
ਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀ ਹੋਣ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁਚਤਤਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਇਸਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਅਧਿਕਾਰਤ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।
|
||||
ਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀ ਹੋਣ ਦਾ ਯਤਨ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁਚਨਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਇਸ ਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਮੌਜੂਦ ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਅਧਿਕਾਰਤ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਅਸੀਂ ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:34:14+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:08:53+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
|
|
@ -27,7 +27,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Make we waka enter di world of **Artificial Intelligence** (AI) wit dis 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey easy for beginners and e go teach tools like TensorFlow and PyTorch, plus di ethics wey dey AI.
|
||||
Make we waka inside di world of **Artificial Intelligence** (AI) wit dis 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey easy for beginners and e go teach tools like TensorFlow and PyTorch, plus di ethics wey dey AI.
|
||||
|
||||
### 🌐 Multi-Language Support
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ Make we waka enter di world of **Artificial Intelligence** (AI) wit dis 12-week,
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**If you wan make we add more translations, di languages wey we fit support dey [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**If you wan make we add more translations, di languages wey we fit support dey listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Join di Community
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -57,14 +57,14 @@ Wetin we no go cover for dis curriculum:
|
|||
|
||||
> [Find all extra resources for dis course for our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* How **AI dey work for Business**. You fit check [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path for Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem do wit [INSEAD](https://www.insead.edu/).
|
||||
* How **AI dey work for Business**. If you wan learn dis one, try [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path for Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem develop wit [INSEAD](https://www.insead.edu/).
|
||||
* **Classic Machine Learning**, wey dem explain well for our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* How to use **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** for practical AI. For dis one, we suggest make you start wit Microsoft Learn modules for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** and others.
|
||||
* Specific ML **Cloud Frameworks**, like [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). You fit check [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.
|
||||
* **Conversational AI** and **Chat Bots**. Dem get separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [dis blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more gist.
|
||||
* **Deep Mathematics** wey dey behind deep learning. For dis one, we suggest [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey dey online for [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* How to use **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** for practical AI. For dis one, we recommend make you start wit Microsoft Learn modules for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** and others.
|
||||
* Specific ML **Cloud Frameworks**, like [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). You fit try [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.
|
||||
* **Conversational AI** and **Chat Bots**. Dere dey separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [dis blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more info.
|
||||
* **Deep Mathematics** wey dey behind deep learning. For dis one, we recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey dey online for [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
For small intro to _AI for di Cloud_ topics, you fit check [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
If you wan soft introduction to _AI for di Cloud_ topics, you fit try [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
|
||||
# Content
|
||||
|
||||
|
|
@ -107,14 +107,14 @@ For small intro to _AI for di Cloud_ topics, you fit check [Get started with art
|
|||
|
||||
## Wetin dey inside each lesson
|
||||
|
||||
* Material wey you go read before class
|
||||
* Jupyter Notebooks wey you fit run, and dem dey specific to framework (**PyTorch** or **TensorFlow**). Di notebook wey you fit run get plenty theory inside, so to sabi di topic well, you go need read at least one version of di notebook (either PyTorch or TensorFlow).
|
||||
* **Labs** dey for some topics, wey go give you chance to try wetin you don learn for one specific problem.
|
||||
* Some sections get links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules wey dey cover related topics.
|
||||
* Pre-reading material wey go help you understand di topic.
|
||||
* Jupyter Notebooks wey you fit run, dem dey specific to di framework (**PyTorch** or **TensorFlow**). Di notebook get plenty theory inside, so to sabi di topic well, you go need read at least one version of di notebook (either PyTorch or TensorFlow).
|
||||
* **Labs** dey for some topics, wey go give you chance to try wetin you don learn for real-life problem.
|
||||
* Some sections get links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules wey dey related to di topic.
|
||||
|
||||
## How to Start
|
||||
|
||||
### 🎯 You be new person for AI? Start from here!
|
||||
### 🎯 You be newbie for AI? Start from here!
|
||||
|
||||
If AI be new thing for you and you wan see quick, hands-on examples, check our [**Beginner-Friendly Examples**](./examples/README.md)! E include:
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ Dis examples go help you sabi AI concepts before you start di full curriculum.
|
|||
|
||||
### 📚 Full Curriculum Setup
|
||||
|
||||
- We don create one [setup lesson](./lessons/0-course-setup/setup.md) to help you arrange your development environment. - For Teachers, we also get [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for una!
|
||||
- We don create one [setup lesson](./lessons/0-course-setup/setup.md) to guide you on how to set up your development environment. - For Teachers, we also get one [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for una!
|
||||
- How to [Run di code for VSCode or Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow dis steps:
|
||||
|
|
@ -136,7 +136,7 @@ Fork di Repository: Click di "Fork" button wey dey di top-right corner of dis pa
|
|||
|
||||
Clone di Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
No forget to star (🌟) dis repo so you go fit find am later.
|
||||
No forget to star (🌟) dis repo so you fit find am easy later.
|
||||
|
||||
## Meet other Learners
|
||||
|
||||
|
|
@ -146,7 +146,7 @@ If you get product feedback or questions while you dey build, visit our [Azure A
|
|||
|
||||
## Quizzes
|
||||
|
||||
> **A note about quizzes**: All di quizzes dey inside di Quiz-app folder for etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) Dem dey linked from di lessons, di quiz app fit run locally or you fit deploy am to Azure; follow di instruction wey dey di `quiz-app` folder. Dem dey gradually localize am.
|
||||
> **A note about quizzes**: All quizzes dey inside di Quiz-app folder for etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) Dem dey linked from di lessons, di quiz app fit run locally or you fit deploy am to Azure; follow di instruction wey dey di `quiz-app` folder. Dem dey gradually localize am.
|
||||
|
||||
## Help Wanted
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ You get suggestions or you see spelling or code errors? Raise an issue or create
|
|||
|
||||
Our team dey produce other curricula! Check dem out:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ Our team dey produce other curricula! Check dem out:
|
|||
|
||||
## Getting Help
|
||||
|
||||
If you dey stuck or you get any questions about how to build AI apps. Join other learners and experienced developers to discuss MCP. Na supportive community wey dey welcome questions and dey share knowledge freely.
|
||||
If you dey stuck or you get any questions about how to build AI apps. Join other learners and experienced developers to discuss MCP. E be supportive community wey dey welcome questions and dey share knowledge freely.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ If you get product feedback or errors while you dey build, visit:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Disclaimer**:
|
||||
Dis dokyument don use AI transleto service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e better make professional human transleto check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
|
||||
Dis docu don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translation fit get mistake or no correct well. Di original docu for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,114 +1,114 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
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|
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|
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|
||||
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|
||||
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|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Sztuczna Inteligencja dla Początkujących - Program Nauczania
|
||||
# Sztuczna Inteligencja dla Początkujących - Program Nauczania
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu programowi nauczania składającemu się z 24 lekcji! Zawiera on praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch, a także etykę w AI.
|
||||
Poznaj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu programowi nauczania, który obejmuje 24 lekcje! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch, a także zagadnienia etyczne związane z AI.
|
||||
|
||||
### 🌐 Wsparcie dla wielu języków
|
||||
### 🌐 Wsparcie dla wielu języków
|
||||
|
||||
#### Obsługiwane przez GitHub Action (Automatyczne i zawsze aktualne)
|
||||
#### Obsługiwane za pomocą GitHub Action (Automatyczne i zawsze aktualne)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh/README.md) | [Chiński (tradycyjny, Hongkong)](../hk/README.md) | [Chiński (tradycyjny, Makau)](../mo/README.md) | [Chiński (tradycyjny, Tajwan)](../tw/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Pidgin nigeryjski](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../br/README.md) | [Portugalski (Portugalia)](../pt/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh/README.md) | [Chiński (tradycyjny, Hongkong)](../hk/README.md) | [Chiński (tradycyjny, Makau)](../mo/README.md) | [Chiński (tradycyjny, Tajwan)](../tw/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigeryjski pidżyn](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../br/README.md) | [Portugalski (Portugalia)](../pt/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jeśli chcesz, aby obsługiwane były dodatkowe języki, lista dostępnych znajduje się [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jeśli chcesz, aby obsługiwane były dodatkowe języki, lista dostępnych znajduje się [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Dołącz do społeczności
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Dołącz do społeczności
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Czego się nauczysz
|
||||
## Czego się nauczysz
|
||||
|
||||
**[Mapa myśli kursu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Mapa myśli kursu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
W tym programie nauczania dowiesz się:
|
||||
W tym programie nauczania dowiesz się:
|
||||
|
||||
* Różnych podejść do Sztucznej Inteligencji, w tym "starego dobrego" podejścia symbolicznego z **Reprezentacją Wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowych** i **głębokiego uczenia**, które są podstawą współczesnej AI. Wyjaśnimy koncepcje stojące za tymi ważnymi tematami, używając kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektur neuronowych** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą one nie obejmować najnowocześniejszych rozwiązań.
|
||||
* Mniej popularnych podejść do AI, takich jak **Algorytmy Genetyczne** i **Systemy Wieloagentowe**.
|
||||
* Różnych podejść do Sztucznej Inteligencji, w tym "dobrego starego" podejścia symbolicznego z **Reprezentacją Wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowych** i **Głębokiego Uczenia**, które są podstawą współczesnej AI. Wyjaśnimy koncepcje stojące za tymi ważnymi tematami, używając kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektur neuronowych** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą być nieco mniej aktualne w stosunku do najnowszych osiągnięć.
|
||||
* Mniej popularnych podejść do AI, takich jak **Algorytmy Genetyczne** i **Systemy Wieloagentowe**.
|
||||
|
||||
Czego nie omówimy w tym programie nauczania:
|
||||
Czego nie obejmuje ten program nauczania:
|
||||
|
||||
> [Znajdź wszystkie dodatkowe zasoby do tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Znajdź wszystkie dodatkowe zasoby dla tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Przypadków biznesowych wykorzystania **AI w biznesie**. Rozważ skorzystanie z [Wprowadzenia do AI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanego we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym [Programie Nauczania Uczenia Maszynowego dla Początkujących](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych przy użyciu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu zalecamy rozpoczęcie od modułów Microsoft Learn dla [wizji komputerowej](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych.
|
||||
* Specyficznych **chmurowych frameworków ML**, takich jak [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) czy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie z [Budowania i obsługi rozwiązań uczenia maszynowego z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) oraz [Budowania i obsługi rozwiązań uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konwersacyjnej AI** i **Chatbotów**. Istnieje osobna ścieżka nauczania [Tworzenie rozwiązań AI konwersacyjnej](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz zapoznać się z [tym wpisem na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) po więcej szczegółów.
|
||||
* **Zaawansowanej matematyki** stojącej za głębokim uczeniem. W tym celu polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshuy Bengio i Aarona Courville, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Przypadków biznesowych wykorzystania **AI w biznesie**. Rozważ skorzystanie z ścieżki nauczania [Wprowadzenie do AI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego Uczenia Maszynowego**, które jest dobrze opisane w naszym [Programie Nauczania Uczenia Maszynowego dla Początkujących](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych przy użyciu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu zalecamy rozpoczęcie od modułów Microsoft Learn dla [wizji komputerowej](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych.
|
||||
* Specyficznych **Chmurowych Frameworków ML**, takich jak [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) czy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie ze ścieżek nauczania [Budowanie i operowanie rozwiązaniami uczenia maszynowego z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) oraz [Budowanie i operowanie rozwiązaniami uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konwersacyjnej AI** i **Chatbotów**. Istnieje osobna ścieżka nauczania [Tworzenie rozwiązań konwersacyjnej AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz zapoznać się z [tym wpisem na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dla bardziej szczegółowych informacji.
|
||||
* **Zaawansowanej matematyki** stojącej za głębokim uczeniem. W tym celu polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshua Bengio i Aarona Courville, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Dla łagodnego wprowadzenia do tematów związanych z _AI w chmurze_ możesz rozważyć skorzystanie z [Rozpocznij pracę ze sztuczną inteligencją na platformie Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn.
|
||||
Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć skorzystanie ze ścieżki nauczania [Rozpocznij pracę ze sztuczną inteligencją na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Zawartość
|
||||
# Zawartość
|
||||
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Skonfiguruj swoje środowisko programistyczne](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Wprowadzenie do AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Wprowadzenie i historia AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symboliczna AI** |
|
||||
| 02 | [Reprezentacja wiedzy i systemy ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepcyjny](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Wprowadzenie do sieci neuronowych**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Konfiguracja środowiska programistycznego](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Wprowadzenie do AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Wprowadzenie i historia AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symboliczna AI** |
|
||||
| 02 | [Reprezentacja wiedzy i systemy ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepcji](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Wprowadzenie do sieci neuronowych**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Wielowarstwowy Perceptron i Tworzenie Własnego Frameworka](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do Frameworków (PyTorch/TensorFlow) i Przeuczenie](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Wizja Komputerowa**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Poznaj Wizję Komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do Wizji Komputerowej. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konwolucyjne Sieci Neuronowe](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Sieci Wstępnie Wytrenowane i Transfer Uczenia](./lessons/4-ComputerVision/08-TransferLearning/README.md) oraz [Triki Treningowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 04 | [Wielowarstwowy perceptron i tworzenie własnego frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do frameworków (PyTorch/TensorFlow) i przeuczenie](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Wizja komputerowa**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Poznaj wizję komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do wizji komputerowej. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konwolucyjne sieci neuronowe](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Sieci wstępnie wytrenowane i transfer uczenia](./lessons/4-ComputerVision/08-TransferLearning/README.md) oraz [Triki treningowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodery i VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatywne Sieci Adwersyjne i Transfer Stylu Artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcja Obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentacja Semantyczna. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Przetwarzanie Języka Naturalnego**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Poznaj Przetwarzanie Języka Naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacja Tekstu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantyczne Wektory Słów. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelowanie Języka. Trening Własnych Wektorów](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurencyjne Sieci Neuronowe](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatywne Sieci Rekurencyjne](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 10 | [Generatywne sieci przeciwstawne i transfer stylu artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcja obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentacja semantyczna. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Przetwarzanie języka naturalnego**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Poznaj przetwarzanie języka naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacja tekstu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantyczne osadzenia słów. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelowanie języka. Trening własnych osadzeń](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurencyjne sieci neuronowe](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatywne sieci rekurencyjne](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Rozpoznawanie Nazwanych Jednostek](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Duże Modele Językowe, Programowanie Promptów i Zadania Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Inne Techniki AI** || |
|
||||
| 21 | [Algorytmy Genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Głębokie Uczenie Wzmocnione](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Systemy Wieloagentowe](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 19 | [Rozpoznawanie nazwanych jednostek](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Duże modele językowe, programowanie z użyciem promptów i zadania few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Inne techniki AI** || |
|
||||
| 21 | [Algorytmy genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Głębokie uczenie przez wzmacnianie](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Systemy wieloagentowe](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etyka AI** | | |
|
||||
| 24 | [Etyka AI i Odpowiedzialna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady Odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [Etyka AI i odpowiedzialna sztuczna inteligencja](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatki** | | |
|
||||
| 25 | [Sieci Multi-Modalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Sieci multimodalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Każda lekcja zawiera
|
||||
|
||||
* Materiały do przeczytania przed zajęciami
|
||||
* Wykonywalne Notatniki Jupyter, często specyficzne dla frameworka (**PyTorch** lub **TensorFlow**). Notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, należy przejść przynajmniej jedną wersję notatnika (PyTorch lub TensorFlow).
|
||||
* Materiały do wstępnego czytania
|
||||
* Wykonywalne notatniki Jupyter, często specyficzne dla frameworku (**PyTorch** lub **TensorFlow**). Wykonywalny notatnik zawiera również wiele materiałów teoretycznych, więc aby zrozumieć temat, należy przejść przez co najmniej jedną wersję notatnika (PyTorch lub TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, które dają możliwość zastosowania zdobytej wiedzy do konkretnego problemu.
|
||||
* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), które obejmują powiązane tematy.
|
||||
|
||||
|
|
@ -116,93 +116,99 @@ Dla łagodnego wprowadzenia do tematów związanych z _AI w chmurze_ możesz roz
|
|||
|
||||
### 🎯 Nowy w AI? Zacznij tutaj!
|
||||
|
||||
Jeśli dopiero zaczynasz przygodę z AI i chcesz szybko zobaczyć praktyczne przykłady, sprawdź nasze [**Przykłady dla Początkujących**](./examples/README.md)! Obejmują one:
|
||||
Jeśli dopiero zaczynasz przygodę z AI i chcesz szybko zobaczyć praktyczne przykłady, sprawdź nasze [**Przykłady dla początkujących**](./examples/README.md)! Obejmują one:
|
||||
|
||||
- 🌟 **Hello AI World** - Twój pierwszy program AI (rozpoznawanie wzorców)
|
||||
- 🧠 **Prosta Sieć Neuronowa** - Zbuduj sieć neuronową od podstaw
|
||||
- 🖼️ **Klasyfikator Obrazów** - Klasyfikuj obrazy z dokładnymi komentarzami
|
||||
- 💬 **Analiza Sentymentu Tekstu** - Analizuj pozytywny/negatywny tekst
|
||||
- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od podstaw
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z szczegółowymi komentarzami
|
||||
- 💬 **Analiza nastroju tekstu** - Analizuj pozytywny/negatywny nastrój tekstu
|
||||
|
||||
Te przykłady zostały stworzone, aby pomóc Ci zrozumieć koncepcje AI przed rozpoczęciem pełnego programu nauczania.
|
||||
|
||||
### 📚 Konfiguracja Pełnego Programu Nauczania
|
||||
### 📚 Konfiguracja pełnego programu nauczania
|
||||
|
||||
- Przygotowaliśmy [lekcję wprowadzającą](./lessons/0-course-setup/setup.md), która pomoże Ci skonfigurować środowisko programistyczne. - Dla nauczycieli stworzyliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Przygotowaliśmy [lekcję wprowadzającą](./lessons/0-course-setup/setup.md), która pomoże Ci skonfigurować środowisko programistyczne. - Dla nauczycieli przygotowaliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Jak [uruchomić kod w VSCode lub Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Postępuj zgodnie z poniższymi krokami:
|
||||
Postępuj zgodnie z tymi krokami:
|
||||
|
||||
Sforkuj repozytorium: Kliknij przycisk "Fork" w prawym górnym rogu tej strony.
|
||||
|
||||
Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nie zapomnij dodać gwiazdki (🌟) do tego repozytorium, aby łatwiej je znaleźć później.
|
||||
Nie zapomnij dodać gwiazdki (🌟) temu repozytorium, aby łatwiej je znaleźć później.
|
||||
|
||||
## Poznaj innych Uczniów
|
||||
## Poznaj innych uczących się
|
||||
|
||||
Dołącz do naszego [oficjalnego serwera AI na Discordzie](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby spotkać się i nawiązać kontakty z innymi uczniami biorącymi udział w tym kursie oraz uzyskać wsparcie.
|
||||
Dołącz do naszego [oficjalnego serwera AI na Discordzie](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby spotkać się i nawiązać kontakty z innymi uczestnikami kursu oraz uzyskać wsparcie.
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas budowy, odwiedź nasze [forum dla deweloperów Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas tworzenia, odwiedź nasze [forum dla deweloperów Azure AI Foundry](https://aka.ms/foundry/forum).
|
||||
|
||||
## Quizy
|
||||
## Quizy
|
||||
|
||||
> **Informacja o quizach**: Wszystkie quizy znajdują się w folderze Quiz-app w etc\quiz-app, lub [Online Tutaj](https://ff-quizzes.netlify.app/) Są one powiązane z lekcjami, aplikacja quizowa może być uruchamiana lokalnie lub wdrażana na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
|
||||
> **Informacja o quizach**: Wszystkie quizy znajdują się w folderze Quiz-app w etc\quiz-app lub [online tutaj](https://ff-quizzes.netlify.app/). Są one powiązane z lekcjami, a aplikację quizową można uruchomić lokalnie lub wdrożyć w Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
|
||||
|
||||
## Potrzebna Pomoc
|
||||
## Potrzebna pomoc
|
||||
|
||||
Masz sugestie lub znalazłeś błędy w pisowni lub kodzie? Zgłoś problem lub utwórz pull request.
|
||||
|
||||
## Specjalne Podziękowania
|
||||
## Specjalne podziękowania
|
||||
|
||||
* **✍️ Główny Autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Twórca Quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Główni Współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🎨 Ilustrator sketchnotów:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Twórca quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Główni współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Inne Programy Nauczania
|
||||
## Inne programy nauczania
|
||||
|
||||
Nasz zespół tworzy inne programy nauczania! Sprawdź:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenci
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Seria Generatywna AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Seria Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Podstawowe Nauczanie
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Podstawowe nauczanie
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Seria Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Uzyskiwanie Pomocy
|
||||
## Uzyskiwanie pomocy
|
||||
|
||||
Jeśli utkniesz lub masz pytania dotyczące budowy aplikacji AI. Dołącz do innych uczniów i doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, gdzie pytania są mile widziane, a wiedza jest dzielona swobodnie.
|
||||
Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się i doświadczonych deweloperów w dyskusjach o MCP. To wspierająca społeczność, w której pytania są mile widziane, a wiedza jest swobodnie dzielona.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub błędy podczas budowy, odwiedź:
|
||||
Jeśli masz uwagi dotyczące produktu lub napotkałeś błędy podczas tworzenia, odwiedź:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Jeśli masz uwagi dotyczące produktu lub błędy podczas budowy, odwiedź:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Zastrzeżenie**:
|
||||
Ten dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż staramy się zapewnić dokładność, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za wiarygodne źródło. W przypadku informacji krytycznych zaleca się skorzystanie z profesjonalnego tłumaczenia przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.
|
||||
Ten dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż staramy się zapewnić dokładność, prosimy mieć na uwadze, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za wiarygodne źródło. W przypadku informacji krytycznych zaleca się skorzystanie z profesjonalnego tłumaczenia przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:36:58+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:19:37+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pt"
|
||||
}
|
||||
|
|
@ -25,9 +25,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| AI Para Iniciantes - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 12 semanas e 24 aulas! Inclui lições práticas, questionários e laboratórios. O currículo é voltado para iniciantes e aborda ferramentas como TensorFlow e PyTorch, além de ética na IA.
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 12 semanas e 24 aulas! Inclui lições práticas, questionários e laboratórios. O currículo é amigável para iniciantes e aborda ferramentas como TensorFlow e PyTorch, bem como ética em IA.
|
||||
|
||||
### 🌐 Suporte Multilíngue
|
||||
|
||||
|
|
@ -37,7 +37,7 @@ Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 1
|
|||
[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Canarim](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Malaiala](../ml/README.md) | [Marata](../mr/README.md) | [Nepalês](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Português (Brasil)](../br/README.md) | [Português (Portugal)](./README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Se desejar adicionar mais idiomas, os idiomas suportados estão listados [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Se desejar suporte para idiomas adicionais, os idiomas suportados estão listados [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Junte-se à Comunidade
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,80 +48,80 @@ Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 1
|
|||
|
||||
Neste currículo, você aprenderá:
|
||||
|
||||
* Diferentes abordagens para Inteligência Artificial, incluindo a abordagem simbólica "tradicional" com **Representação de Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Diferentes abordagens para a Inteligência Artificial, incluindo a abordagem simbólica "tradicional" com **Representação de Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neurais** e **Aprendizagem Profunda**, que estão no centro da IA moderna. Vamos ilustrar os conceitos por trás desses tópicos importantes usando código em dois dos frameworks mais populares - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Vamos abordar modelos recentes, mas talvez faltem alguns dos mais avançados.
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Vamos abordar modelos recentes, mas talvez faltem alguns de ponta.
|
||||
* Abordagens menos populares de IA, como **Algoritmos Genéticos** e **Sistemas Multiagentes**.
|
||||
|
||||
O que não será abordado neste currículo:
|
||||
|
||||
> [Encontre todos os recursos adicionais para este curso na nossa coleção Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Casos de negócios de uso de **IA em Negócios**. Considere fazer o caminho de aprendizado [Introdução à IA para usuários de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) no Microsoft Learn, ou [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvido em cooperação com [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizagem de Máquina Clássica**, que está bem descrita no nosso [Currículo de Aprendizagem de Máquina para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Serviços Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos começar com os módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* Frameworks específicos de ML **na Nuvem**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os caminhos de aprendizado [Construir e operar soluções de aprendizado de máquina com Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de aprendizado de máquina com Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** e **Chat Bots**. Há um caminho de aprendizado separado [Criar soluções de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e você também pode consultar [este post no blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* Casos de uso de **IA nos Negócios**. Considere fazer o percurso de aprendizagem [Introdução à IA para usuários de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) no Microsoft Learn, ou a [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvida em cooperação com [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizagem Automática Clássica**, que está bem descrita no nosso [Currículo de Aprendizagem Automática para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Serviços Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos começar com os módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com o Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* Frameworks específicos de ML **na Nuvem**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os percursos de aprendizagem [Construir e operar soluções de aprendizagem automática com o Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de aprendizagem automática com o Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** e **Chat Bots**. Há um percurso de aprendizagem separado [Criar soluções de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e você também pode consultar [este post no blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Avançada** por trás da aprendizagem profunda. Para isso, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Para uma introdução mais leve aos tópicos de _IA na Nuvem_, você pode considerar fazer o caminho de aprendizado [Introdução à inteligência artificial no Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Para uma introdução mais leve aos tópicos de _IA na Nuvem_, pode considerar fazer o percurso de aprendizagem [Introdução à inteligência artificial no Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Conteúdo
|
||||
|
||||
| | Link da Aula | PyTorch/Keras/TensorFlow | Laboratório |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configuração do Curso](./lessons/0-course-setup/setup.md) | [Configure seu Ambiente de Desenvolvimento](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Configuração do Curso](./lessons/0-course-setup/setup.md) | [Configure o Seu Ambiente de Desenvolvimento](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introdução à IA**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introdução e História da IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA Simbólica** |
|
||||
| 02 | [Representação de Conhecimento e Sistemas Especialistas](./lessons/2-Symbolic/README.md) | [Sistemas Especialistas](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceito de Grafo](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Representação de Conhecimento e Sistemas Especialistas](./lessons/2-Symbolic/README.md) | [Sistemas Especialistas](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceito Gráfico](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introdução às Redes Neurais**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multicamadas e Criando o nosso próprio Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Perceptron Multicamadas e Criar o nosso próprio Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introdução a Frameworks (PyTorch/TensorFlow) e Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visão Computacional**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explore Visão Computacional no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão Computacional. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratório](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neurais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| IV | [**Visão por Computador**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorar Visão por Computador no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão por Computador. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratório](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neuronais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pré-treinadas e Transferência de Aprendizagem](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Dicas de Treinamento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders e VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Redes Adversárias Generativas & Transferência de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detecção de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratório](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 11 | [Deteção de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratório](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentação Semântica. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Processamento de Linguagem Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explore Processamento de Linguagem Natural no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Processamento de Linguagem Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorar Processamento de Linguagem Natural no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representação de Texto. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Embeddings Semânticos de Palavras. Word2Vec e GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelagem de Linguagem. Treinando seus próprios embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratório](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Redes Neurais Recorrentes](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 15 | [Modelagem de Linguagem. Treinar os seus próprios embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratório](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Redes Neuronais Recorrentes](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Redes Recorrentes Generativas](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratório](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Reconhecimento de Entidades Nomeadas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratório](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Modelos de Linguagem Grandes, Programação de Prompts e Tarefas de Poucos Exemplos](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Modelos de Linguagem de Grande Escala, Programação de Prompts e Tarefas de Poucos Exemplos](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Outras Técnicas de IA** || |
|
||||
| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Aprendizagem por Reforço Profundo](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratório](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistemas Multiagentes](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 23 | [Sistemas Multi-Agente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ética em IA** | | |
|
||||
| 24 | [Ética em IA e IA Responsável](./lessons/7-Ethics/README.md) | [Microsoft Learn: Princípios de IA Responsável](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extras** | | |
|
||||
| 25 | [Redes Multimodais, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Redes Multi-Modais, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Cada lição contém
|
||||
|
||||
* Material de leitura prévia
|
||||
* Jupyter Notebooks executáveis, que frequentemente são específicos para o framework (**PyTorch** ou **TensorFlow**). O notebook executável também contém muito material teórico, então para entender o tópico é necessário passar por pelo menos uma versão do notebook (PyTorch ou TensorFlow).
|
||||
* Notebooks Jupyter executáveis, muitas vezes específicos para o framework (**PyTorch** ou **TensorFlow**). O notebook executável também contém muito material teórico, por isso, para compreender o tópico, é necessário passar por pelo menos uma versão do notebook (seja PyTorch ou TensorFlow).
|
||||
* **Laboratórios** disponíveis para alguns tópicos, que oferecem a oportunidade de aplicar o material aprendido a um problema específico.
|
||||
* Algumas seções contêm links para módulos do [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que abordam tópicos relacionados.
|
||||
* Algumas secções contêm links para módulos do [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que abordam tópicos relacionados.
|
||||
|
||||
## Começando
|
||||
## Começar
|
||||
|
||||
### 🎯 Novo em IA? Comece Aqui!
|
||||
|
||||
Se você é completamente novo em IA e quer exemplos práticos rápidos, confira nossos [**Exemplos para Iniciantes**](./examples/README.md)! Estes incluem:
|
||||
Se é completamente novo em IA e quer exemplos práticos e rápidos, veja os nossos [**Exemplos para Iniciantes**](./examples/README.md)! Estes incluem:
|
||||
|
||||
- 🌟 **Hello AI World** - Seu primeiro programa de IA (reconhecimento de padrões)
|
||||
- 🌟 **Olá Mundo da IA** - O seu primeiro programa de IA (reconhecimento de padrões)
|
||||
- 🧠 **Rede Neural Simples** - Construa uma rede neural do zero
|
||||
- 🖼️ **Classificador de Imagens** - Classifique imagens com comentários detalhados
|
||||
- 💬 **Análise de Sentimentos de Texto** - Analise textos positivos/negativos
|
||||
- 💬 **Sentimento de Texto** - Analise texto positivo/negativo
|
||||
|
||||
Estes exemplos foram criados para ajudá-lo a compreender conceitos de IA antes de mergulhar no currículo completo.
|
||||
|
||||
|
|
@ -164,9 +164,15 @@ Tem sugestões ou encontrou erros de ortografia ou no código? Abra uma issue ou
|
|||
|
||||
A nossa equipa produz outros currículos! Confira:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentes
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
|
|
@ -202,7 +208,7 @@ Se ficar preso ou tiver dúvidas sobre como criar aplicações de IA, junte-se a
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Se tiver feedback sobre o produto ou encontrar erros durante o desenvolvimento, visite:
|
||||
Se tiver feedback sobre o produto ou erros durante o desenvolvimento, visite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Se tiver feedback sobre o produto ou encontrar erros durante o desenvolvimento,
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Aviso Legal**:
|
||||
Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos pela precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original na sua língua nativa deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se uma tradução profissional realizada por humanos. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
|
||||
Este documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original no seu idioma nativo deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se uma tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas resultantes do uso desta tradução.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
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|
||||
"translation_date": "2025-12-17T14:53:25+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ro"
|
||||
}
|
||||
|
|
@ -13,7 +13,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
|
|
@ -25,7 +25,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| AI Pentru Începători - _Sketchnote de [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI pentru Începători - _Sketchnote de [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explorează lumea **Inteligenței Artificiale** (IA) cu curriculumul nostru de 12 săptămâni și 24 de lecții! Include lecții practice, teste și laboratoare. Curriculumul este prietenos pentru începători și acoperă instrumente precum TensorFlow și PyTorch, precum și etica în IA.
|
||||
|
||||
|
|
@ -57,7 +57,7 @@ Ce nu vom acoperi în acest curriculum:
|
|||
|
||||
> [Găsește toate resursele suplimentare pentru acest curs în colecția noastră Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Cazuri de utilizare a **IA în Afaceri**. Ia în considerare parcurgerea traseului de învățare [Introducere în IA pentru utilizatorii de afaceri](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) pe Microsoft Learn sau [Școala de Afaceri IA](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), dezvoltată în colaborare cu [INSEAD](https://www.insead.edu/).
|
||||
* Cazuri de utilizare a **IA în Afaceri**. Ia în considerare parcurgerea traseului de învățare [Introducere în IA pentru utilizatorii de afaceri](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) pe Microsoft Learn sau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), dezvoltat în colaborare cu [INSEAD](https://www.insead.edu/).
|
||||
* **Învățare Automată Clasică**, care este bine descrisă în [Curriculumul nostru pentru Începători în Învățare Automată](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicații practice de IA construite folosind **[Servicii Cognitive](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pentru aceasta, îți recomandăm să începi cu modulele Microsoft Learn pentru [viziune](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesarea limbajului natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI cu Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** și altele.
|
||||
* Framework-uri specifice de ML **în Cloud**, cum ar fi [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) sau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Ia în considerare utilizarea traseelor de învățare [Construiește și operează soluții de învățare automată cu Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) și [Construiește și operează soluții de învățare automată cu Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
|
@ -79,49 +79,49 @@ Pentru o introducere ușoară în subiectele _IA în Cloud_, poți lua în consi
|
|||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laborator](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multi-Strat și Crearea propriului Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laborator](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introducere în Framework-uri (PyTorch/TensorFlow) și Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laborator](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Viziune Computațională**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorați Viziunea Computațională pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| IV | [**Viziune Computațională**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorează Viziunea Computațională pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introducere în Viziunea Computațională. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laborator](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Rețele Neuronale Convoluționale](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitecturi CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laborator](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Rețele Pre-antrenate și Transfer de Învățare](./lessons/4-ComputerVision/08-TransferLearning/README.md) și [Trucuri de Antrenament](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laborator](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencodere și VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 09 | [Autoencodere și VAE-uri](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Rețele Generative Adversariale & Transfer Artistic de Stil](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detectarea Obiectelor](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laborator](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 11 | [Detecția Obiectelor](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laborator](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentare Semantică. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Procesarea Limbajului Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorați Procesarea Limbajului Natural pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Procesarea Limbajului Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorează Procesarea Limbajului Natural pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentarea Textului. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Embedări semantice ale cuvintelor. Word2Vec și GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 14 | [Embedări Semantice ale Cuvintelor. Word2Vec și GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelarea Limbajului. Antrenarea propriilor embedări](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laborator](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rețele Neuronale Recurente](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Rețele Recurente Generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laborator](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Rețele Generative Recurente](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laborator](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Recunoașterea Entităților Denumite](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laborator](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 19 | [Recunoașterea Entităților Numite](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laborator](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Modele de Limbaj Mari, Programarea Prompturilor și Sarcini Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Alte Tehnici AI** || |
|
||||
| 21 | [Algoritmi Genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Învățare prin Recompensă Profundă](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laborator](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sisteme Multi-Agent](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etica AI** | | |
|
||||
| 24 | [Etica AI și AI Responsabil](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principii AI Responsabil](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [Etica AI și AI Responsabil](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principii AI Responsabile](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extra** | | |
|
||||
| 25 | [Rețele Multi-Modale, CLIP și VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Fiecare lecție conține
|
||||
|
||||
* Material de citit înainte
|
||||
* Jupyter Notebooks executabile, care sunt adesea specifice framework-ului (**PyTorch** sau **TensorFlow**). Notebook-ul executabil conține, de asemenea, mult material teoretic, așa că pentru a înțelege subiectul trebuie să parcurgeți cel puțin o versiune a notebook-ului (PyTorch sau TensorFlow).
|
||||
* Jupyter Notebooks executabile, care sunt adesea specifice framework-ului (**PyTorch** sau **TensorFlow**). Notebook-ul executabil conține, de asemenea, mult material teoretic, așa că pentru a înțelege subiectul trebuie să parcurgeți cel puțin o versiune a notebook-ului (fie PyTorch, fie TensorFlow).
|
||||
* **Laboratoare** disponibile pentru unele subiecte, care vă oferă oportunitatea de a aplica materialul învățat la o problemă specifică.
|
||||
* Unele secțiuni conțin linkuri către modulele [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) care acoperă subiecte conexe.
|
||||
* Unele secțiuni conțin linkuri către module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) care acoperă subiecte conexe.
|
||||
|
||||
## Începeți
|
||||
|
||||
### 🎯 Nou în AI? Începeți aici!
|
||||
|
||||
Dacă sunteți complet nou în AI și doriți exemple rapide și practice, consultați [**Exemplele prietenoase pentru începători**](./examples/README.md)! Acestea includ:
|
||||
Dacă sunteți complet nou în AI și doriți exemple rapide și practice, consultați [**Exemplele pentru Începători**](./examples/README.md)! Acestea includ:
|
||||
|
||||
- 🌟 **Salut Lume AI** - Primul dvs. program AI (recunoașterea modelelor)
|
||||
- 🧠 **Rețea Neuronală Simplă** - Construiți o rețea neuronală de la zero
|
||||
- 🖼️ **Clasificator de Imagini** - Clasificați imagini cu comentarii detaliate
|
||||
- 💬 **Analiza Sentimentului Textului** - Analizează textul pozitiv/negativ
|
||||
- 🌟 **Hello AI World** - Primul tău program AI (recunoaștere de tipare)
|
||||
- 🧠 **Rețea Neuronală Simplă** - Construiește o rețea neuronală de la zero
|
||||
- 🖼️ **Clasificator de Imagini** - Clasifică imagini cu comentarii detaliate
|
||||
- 💬 **Sentimentul Textului** - Analizează textul pozitiv/negativ
|
||||
|
||||
Aceste exemple sunt concepute pentru a te ajuta să înțelegi conceptele AI înainte de a începe curriculumul complet.
|
||||
|
||||
|
|
@ -136,11 +136,11 @@ Forkează Repozitoriul: Apasă pe butonul "Fork" din colțul din dreapta sus al
|
|||
|
||||
Clonează Repozitoriul: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nu uita să dai o stea (🌟) acestui repo pentru a-l găsi mai ușor mai târziu.
|
||||
Nu uita să adaugi o stea (🌟) acestui repo pentru a-l găsi mai ușor mai târziu.
|
||||
|
||||
## Cunoaște alți cursanți
|
||||
|
||||
Alătură-te [serverului oficial AI Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pentru a cunoaște și a face networking cu alți cursanți care urmează acest curs și pentru a primi suport.
|
||||
Alătură-te [serverului oficial AI pe Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pentru a cunoaște și a face networking cu alți cursanți care urmează acest curs și pentru a primi suport.
|
||||
|
||||
Dacă ai feedback despre produs sau întrebări în timp ce construiești, vizitează [Forum-ul Dezvoltatorilor Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Ai sugestii sau ai găsit greșeli de ortografie sau cod? Deschide un issue sau
|
|||
|
||||
Echipa noastră produce și alte curricula! Verifică:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenți
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -172,11 +178,11 @@ Echipa noastră produce și alte curricula! Verifică:
|
|||
|
||||
---
|
||||
|
||||
### Seria AI Generativ
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Seria Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -196,19 +202,19 @@ Echipa noastră produce și alte curricula! Verifică:
|
|||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Obține Ajutor
|
||||
## Obținerea Ajutorului
|
||||
|
||||
Dacă întâmpini dificultăți sau ai întrebări despre construirea aplicațiilor AI, alătură-te altor cursanți și dezvoltatori experimentați în discuții despre MCP. Este o comunitate de sprijin unde întrebările sunt binevenite și cunoștințele sunt împărtășite liber.
|
||||
Dacă te blochezi sau ai întrebări despre construirea aplicațiilor AI, alătură-te altor cursanți și dezvoltatori experimentați în discuții despre MCP. Este o comunitate de sprijin unde întrebările sunt binevenite și cunoștințele sunt împărtășite liber.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Dacă ai feedback despre produs sau întâmpini erori în timpul construirii, vizitează:
|
||||
Dacă ai feedback despre produs sau întâmpini erori în timp ce construiești, vizitează:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Declinare de responsabilitate**:
|
||||
Acest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim să asigurăm acuratețea, vă rugăm să fiți conștienți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa maternă ar trebui considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de oameni. Nu ne asumăm responsabilitatea pentru eventualele neînțelegeri sau interpretări greșite care pot apărea din utilizarea acestei traduceri.
|
||||
**Declinarea responsabilității**:
|
||||
Acest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim să asigurăm acuratețea, vă rugăm să rețineți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa nativă ar trebui considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de un specialist uman. Nu ne asumăm răspunderea pentru neînțelegerile sau interpretările greșite care pot apărea din utilizarea acestei traduceri.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:09:03+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:43:24+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ru"
|
||||
}
|
||||
|
|
@ -49,13 +49,13 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
В этом курсе вы изучите:
|
||||
|
||||
* Различные подходы к Искусственному интеллекту, включая "старый добрый" символический подход с использованием **представления знаний** и рассуждений ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Нейронные сети** и **глубокое обучение**, которые лежат в основе современного ИИ. Мы объясним концепции этих важных тем с помощью кода в двух самых популярных фреймворках - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org).
|
||||
* **Нейронные сети** и **глубокое обучение**, которые лежат в основе современного ИИ. Мы проиллюстрируем концепции этих важных тем с помощью кода в двух самых популярных фреймворках - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org).
|
||||
* **Нейронные архитектуры** для работы с изображениями и текстом. Мы рассмотрим современные модели, но, возможно, не будем охватывать самые передовые.
|
||||
* Менее популярные подходы к ИИ, такие как **генетические алгоритмы** и **многоагентные системы**.
|
||||
|
||||
Что мы не будем рассматривать в этом курсе:
|
||||
|
||||
> [Найдите все дополнительные материалы для этого курса в нашей коллекции Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Найдите все дополнительные ресурсы для этого курса в нашей коллекции Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Бизнес-кейсы использования **ИИ в бизнесе**. Рассмотрите возможность прохождения учебного пути [Введение в ИИ для бизнес-пользователей](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработанного в сотрудничестве с [INSEAD](https://www.insead.edu/).
|
||||
* **Классическое машинное обучение**, которое хорошо описано в нашем [Учебном курсе по машинному обучению для начинающих](http://github.com/Microsoft/ML-for-Beginners).
|
||||
|
|
@ -64,7 +64,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
* **Разговорный ИИ** и **чат-боты**. Существует отдельный учебный путь [Создание решений для разговорного ИИ](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а также вы можете обратиться к [этому блогу](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для получения дополнительной информации.
|
||||
* **Глубокая математика** за глубоким обучением. Для этого мы рекомендуем книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) Иэна Гудфеллоу, Йошуа Бенжио и Аарона Курвиля, которая также доступна онлайн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Для мягкого введения в темы _ИИ в облаке_ вы можете рассмотреть учебный путь [Начало работы с искусственным интеллектом на Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Для мягкого введения в темы _ИИ в облаке_ вы можете рассмотреть учебный путь [Начало работы с искусственным интеллектом в Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Содержание
|
||||
|
||||
|
|
@ -83,34 +83,34 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 06 | [Введение в компьютерное зрение. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Ноутбук](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Сверточные нейронные сети](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектуры CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Предобученные сети и перенос обучения](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Трюки обучения](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Автоэнкодеры и вариационные автоэнкодеры (VAE)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Генеративно-состязательные сети (GAN) и перенос художественного стиля](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 09 | [Автокодировщики и VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Генеративно-состязательные сети и перенос художественного стиля](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Обнаружение объектов](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Семантическая сегментация. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Обработка естественного языка (NLP)**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Изучите обработку естественного языка на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Обработка естественного языка**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Изучите обработку естественного языка на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Представление текста. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Семантические векторные представления слов. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Моделирование языка. Обучение собственных векторных представлений](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лабораторная работа](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Рекуррентные нейронные сети (RNN)](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 16 | [Рекуррентные нейронные сети](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Генеративные рекуррентные сети](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лабораторная работа](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Трансформеры. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Распознавание именованных сущностей (NER)](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лабораторная работа](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Крупные языковые модели, программирование подсказок и задачи с малым количеством примеров](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 19 | [Распознавание именованных сущностей](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лабораторная работа](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Большие языковые модели, программирование подсказок и задачи с малым количеством примеров](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Другие методы ИИ** || |
|
||||
| 21 | [Генетические алгоритмы](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Ноутбук](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Глубокое обучение с подкреплением](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лабораторная работа](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Мультиагентные системы](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Этика ИИ** | | |
|
||||
| 24 | [Этика ИИ и ответственный ИИ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципы ответственного ИИ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Дополнительно** | | |
|
||||
| IX | **Дополнения** | | |
|
||||
| 25 | [Мультимодальные сети, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Ноутбук](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Каждая лекция включает
|
||||
|
||||
* Материалы для предварительного изучения
|
||||
* Исполняемые Jupyter-ноутбуки, которые часто специфичны для фреймворка (**PyTorch** или **TensorFlow**). Исполняемый ноутбук также содержит много теоретического материала, поэтому для понимания темы необходимо пройти хотя бы одну версию ноутбука (либо PyTorch, либо TensorFlow).
|
||||
* Исполняемые Jupyter-ноутбуки, часто специфичные для фреймворка (**PyTorch** или **TensorFlow**). Исполняемый ноутбук также содержит много теоретического материала, поэтому для понимания темы необходимо изучить хотя бы одну версию ноутбука (PyTorch или TensorFlow).
|
||||
* **Лабораторные работы**, доступные для некоторых тем, которые дают возможность применить изученный материал к конкретной задаче.
|
||||
* Некоторые разделы содержат ссылки на модули [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), которые охватывают связанные темы.
|
||||
* Некоторые разделы содержат ссылки на модули [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), охватывающие связанные темы.
|
||||
|
||||
## Начало работы
|
||||
|
||||
|
|
@ -118,16 +118,16 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Если вы совсем новичок в ИИ и хотите быстро ознакомиться с практическими примерами, ознакомьтесь с нашими [**Примерами для начинающих**](./examples/README.md)! Они включают:
|
||||
|
||||
- 🌟 **Привет, мир ИИ** - Ваша первая программа на ИИ (распознавание шаблонов)
|
||||
- 🧠 **Простая нейронная сеть** - Создайте нейронную сеть с нуля
|
||||
- 🖼️ **Классификатор изображений** - Классифицируйте изображения с подробными комментариями
|
||||
- 🌟 **Привет, мир ИИ** - Ваша первая программа ИИ (распознавание шаблонов)
|
||||
- 🧠 **Простая нейронная сеть** - Создание нейронной сети с нуля
|
||||
- 🖼️ **Классификатор изображений** - Классификация изображений с подробными комментариями
|
||||
- 💬 **Анализ настроений текста** - Анализируйте положительный/отрицательный текст
|
||||
|
||||
Эти примеры созданы, чтобы помочь вам понять концепции ИИ перед началом полного курса.
|
||||
Эти примеры помогут вам понять концепции ИИ перед началом полного курса.
|
||||
|
||||
### 📚 Настройка полного курса
|
||||
|
||||
- Мы подготовили [урок по настройке](./lessons/0-course-setup/setup.md), чтобы помочь вам настроить вашу среду разработки. - Для преподавателей мы также создали [урок по настройке учебного плана](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Мы создали [урок по настройке](./lessons/0-course-setup/setup.md), чтобы помочь вам настроить вашу среду разработки. - Для преподавателей мы также подготовили [урок по настройке учебного плана](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Как [запустить код в VSCode или Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Следуйте этим шагам:
|
||||
|
|
@ -136,7 +136,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Клонируйте репозиторий: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Не забудьте поставить звезду (🌟) этому репозиторию, чтобы легче было его найти позже.
|
||||
Не забудьте поставить звезду (🌟) этому репозиторию, чтобы легче было найти его позже.
|
||||
|
||||
## Познакомьтесь с другими учащимися
|
||||
|
||||
|
|
@ -146,11 +146,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## Викторины
|
||||
|
||||
> **Примечание о викторинах**: Все викторины находятся в папке Quiz-app в etc\quiz-app или [онлайн здесь](https://ff-quizzes.netlify.app/). Они связаны с уроками, и приложение для викторин можно запустить локально или развернуть в Azure; следуйте инструкциям в папке `quiz-app`. Они постепенно переводятся на другие языки.
|
||||
> **Примечание о викторинах**: Все викторины находятся в папке Quiz-app в etc\quiz-app или [онлайн здесь](https://ff-quizzes.netlify.app/). Они связаны с уроками, и приложение для викторин можно запустить локально или развернуть в Azure; следуйте инструкциям в папке `quiz-app`. Постепенно они переводятся на другие языки.
|
||||
|
||||
## Нужна помощь
|
||||
|
||||
У вас есть предложения или вы нашли ошибки в коде или тексте? Создайте issue или pull request.
|
||||
Есть предложения или нашли ошибки в коде или тексте? Создайте issue или pull request.
|
||||
|
||||
## Особая благодарность
|
||||
|
||||
|
|
@ -164,11 +164,17 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Наша команда создает и другие учебные программы! Ознакомьтесь:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Агенты
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -186,12 +192,12 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Серия по Copilot
|
||||
### Серия Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -202,7 +208,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Если у вас есть отзывы о продукте или ошибки при разработке, посетите:
|
||||
Если у вас есть отзывы о продукте или возникли ошибки при разработке, посетите:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Отказ от ответственности**:
|
||||
Этот документ был переведен с помощью сервиса автоматического перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия обеспечить точность, автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на его родном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные интерпретации, возникшие в результате использования данного перевода.
|
||||
Этот документ был переведен с использованием сервиса автоматического перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Хотя мы стремимся к точности, пожалуйста, учитывайте, что автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на его родном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные интерпретации, возникшие в результате использования данного перевода.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:12:25+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:51:50+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sk"
|
||||
}
|
||||
|
|
@ -27,14 +27,14 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI pre začiatočníkov - _Sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Preskúmajte svet **umelej inteligencie** (AI) s naším 12-týždňovým, 24-lekciovým učebným plánom! Obsahuje praktické lekcie, kvízy a laboratóriá. Učebný plán je vhodný pre začiatočníkov a pokrýva nástroje ako TensorFlow a PyTorch, ako aj etiku v AI.
|
||||
Preskúmajte svet **umelej inteligencie** (AI) s naším 12-týždňovým učebným plánom, ktorý obsahuje 24 lekcií! Zahŕňa praktické lekcie, kvízy a laboratóriá. Učebný plán je vhodný pre začiatočníkov a pokrýva nástroje ako TensorFlow a PyTorch, ako aj etiku v AI.
|
||||
|
||||
### 🌐 Podpora viacerých jazykov
|
||||
|
||||
#### Podporované prostredníctvom GitHub Action (automatizované a vždy aktuálne)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmčina (Mjanmarsko)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macao)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindčina](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézština](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kannadčina](../kn/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Malajálamčina](../ml/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nigérijský pidgin](../pcm/README.md) | [Nórčina](../no/README.md) | [Perzština (Farsí)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Swahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipínčina)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Telugčina](../te/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamčina](../vi/README.md)
|
||||
[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmčina (Mjanmarsko)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macao)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindčina](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézština](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kannadčina](../kn/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Malajálamčina](../ml/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nigérijský pidgin](../pcm/README.md) | [Nórčina](../no/README.md) | [Perzština (Farsi)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Swahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipínčina)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Telugčina](../te/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamčina](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ak si želáte podporu ďalších jazykov, zoznam podporovaných jazykov nájdete [tu](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
|
@ -53,16 +53,16 @@ V tomto učebnom pláne sa naučíte:
|
|||
* **Neurónové architektúry** na prácu s obrázkami a textom. Pokryjeme aktuálne modely, aj keď môžeme byť trochu pozadu za najnovšími trendmi.
|
||||
* Menej populárne prístupy AI, ako sú **genetické algoritmy** a **systémy s viacerými agentmi**.
|
||||
|
||||
Čo v tomto učebnom pláne nepokryjeme:
|
||||
Čo tento učebný plán nepokrýva:
|
||||
|
||||
> [Všetky doplnkové zdroje pre tento kurz nájdete v našej kolekcii Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Obchodné prípady použitia **AI v podnikaní**. Zvážte absolvovanie vzdelávacej cesty [Úvod do AI pre obchodných používateľov](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn alebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinuté v spolupráci s [INSEAD](https://www.insead.edu/).
|
||||
* Obchodné prípady použitia **AI v biznise**. Zvážte absolvovanie vzdelávacej cesty [Úvod do AI pre obchodných používateľov](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn alebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinuté v spolupráci s [INSEAD](https://www.insead.edu/).
|
||||
* **Klasické strojové učenie**, ktoré je dobre popísané v našom [učebnom pláne Strojové učenie pre začiatočníkov](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktické aplikácie AI postavené pomocou **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Na tento účel odporúčame začať s modulmi Microsoft Learn pre [počítačové videnie](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [spracovanie prirodzeného jazyka](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatívna AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a ďalšie.
|
||||
* Špecifické ML **cloudové frameworky**, ako [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) alebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvážte použitie vzdelávacích ciest [Vytváranie a prevádzka riešení strojového učenia s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Vytváranie a prevádzka riešení strojového učenia s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* Špecifické ML **cloudové frameworky**, ako sú [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) alebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvážte použitie vzdelávacích ciest [Vytváranie a prevádzka riešení strojového učenia s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Vytváranie a prevádzka riešení strojového učenia s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konverzačná AI** a **chatboti**. Existuje samostatná vzdelávacia cesta [Vytváranie riešení konverzačnej AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a môžete sa tiež odvolať na [tento blogový príspevok](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pre viac detailov.
|
||||
* **Hlboká matematika** za hlbokým učením. Na tento účel odporúčame knihu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshua Bengia a Aarona Courvilla, ktorá je tiež dostupná online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **Hlboká matematika** za hlbokým učením. Na tento účel odporúčame knihu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshua Bengia a Aarona Courvilla, ktorá je dostupná aj online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Pre jemný úvod do tém _AI v cloude_ môžete zvážiť absolvovanie vzdelávacej cesty [Začnite s umelou inteligenciou na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
|
|
@ -82,15 +82,15 @@ Pre jemný úvod do tém _AI v cloude_ môžete zvážiť absolvovanie vzdeláva
|
|||
| IV | [**Počítačové videnie**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Preskúmajte počítačové videnie na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Úvod do počítačového videnia. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolučné neurónové siete](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektúry CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Predtrénované siete a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Tréningové triky](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkódery a VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatívne adversariálne siete a prenos umeleckého štýlu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 08 | [Predtrénované siete a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Triky pri trénovaní](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodéry a VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatívne adversariálne siete a umelecký štýlový transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcia objektov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantická segmentácia. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Spracovanie prirodzeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Preskúmajte spracovanie prirodzeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentácia textu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantické vektorové reprezentácie slov. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelovanie jazyka. Tréning vlastných vektorových reprezentácií](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Semantické vektorové reprezentácie. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Jazykové modelovanie. Trénovanie vlastných vektorov](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentné neurónové siete](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatívne rekurentné siete](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
|
|
@ -99,7 +99,7 @@ Pre jemný úvod do tém _AI v cloude_ môžete zvážiť absolvovanie vzdeláva
|
|||
| VI | **Iné techniky AI** || |
|
||||
| 21 | [Genetické algoritmy](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Hlboké posilňovacie učenie](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Systémy s viacerými agentmi](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 23 | [Multiagentné systémy](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika AI** | | |
|
||||
| 24 | [Etika AI a zodpovedná AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zásady zodpovednej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Doplnky** | | |
|
||||
|
|
@ -107,19 +107,19 @@ Pre jemný úvod do tém _AI v cloude_ môžete zvážiť absolvovanie vzdeláva
|
|||
|
||||
## Každá lekcia obsahuje
|
||||
|
||||
* Materiály na predbežné čítanie
|
||||
* Spustiteľné Jupyter Notebooks, ktoré sú často špecifické pre daný framework (**PyTorch** alebo **TensorFlow**). Spustiteľný notebook obsahuje aj veľa teoretického materiálu, takže na pochopenie témy je potrebné prejsť aspoň jednu verziu notebooku (buď PyTorch alebo TensorFlow).
|
||||
* **Lab** dostupné pre niektoré témy, ktoré vám dávajú príležitosť vyskúšať si aplikáciu naučeného materiálu na konkrétny problém.
|
||||
* Materiály na predčítanie
|
||||
* Spustiteľné Jupyter Notebooky, ktoré sú často špecifické pre daný framework (**PyTorch** alebo **TensorFlow**). Notebooky obsahujú aj veľa teoretického materiálu, takže na pochopenie témy je potrebné prejsť aspoň jednu verziu notebooku (buď PyTorch alebo TensorFlow).
|
||||
* **Labáky** dostupné pre niektoré témy, ktoré vám umožnia vyskúšať si aplikáciu naučeného materiálu na konkrétny problém.
|
||||
* Niektoré sekcie obsahujú odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ktoré pokrývajú súvisiace témy.
|
||||
|
||||
## Začíname
|
||||
|
||||
### 🎯 Nový v AI? Začnite tu!
|
||||
|
||||
Ak ste v AI úplný začiatočník a chcete rýchle, praktické príklady, pozrite si naše [**Príklady pre začiatočníkov**](./examples/README.md)! Tieto zahŕňajú:
|
||||
Ak ste v oblasti AI úplný začiatočník a chcete rýchle, praktické príklady, pozrite si naše [**Príklady pre začiatočníkov**](./examples/README.md)! Tieto zahŕňajú:
|
||||
|
||||
- 🌟 **Hello AI World** - Váš prvý AI program (rozpoznávanie vzorov)
|
||||
- 🧠 **Jednoduchá neurónová sieť** - Vytvorte neurónovú sieť od základu
|
||||
- 🧠 **Jednoduchá neurónová sieť** - Vytvorte neurónovú sieť od základov
|
||||
- 🖼️ **Klasifikátor obrázkov** - Klasifikujte obrázky s podrobnými komentármi
|
||||
- 💬 **Analýza sentimentu textu** - Analyzujte pozitívny/negatívny text
|
||||
|
||||
|
|
@ -142,7 +142,7 @@ Nezabudnite označiť hviezdičkou (🌟) tento repozitár, aby ste ho neskôr
|
|||
|
||||
Pridajte sa na náš [oficiálny AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kde sa môžete stretnúť a sieťovať s ostatnými študentmi, ktorí absolvujú tento kurz, a získať podporu.
|
||||
|
||||
Ak máte spätnú väzbu k produktu alebo otázky počas vývoja, navštívte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Ak máte spätnú väzbu k produktu alebo otázky počas budovania, navštívte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kvízy
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Máte návrhy alebo ste našli pravopisné či kódové chyby? Vytvorte issue al
|
|||
|
||||
Náš tím vytvára aj ďalšie kurzy! Pozrite si:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,11 +204,11 @@ Náš tím vytvára aj ďalšie kurzy! Pozrite si:
|
|||
|
||||
## Získanie pomoci
|
||||
|
||||
Ak sa zaseknete alebo máte otázky o budovaní AI aplikácií, pripojte sa k ostatným študentom a skúseným vývojárom v diskusiách o MCP. Je to podporná komunita, kde sú otázky vítané a vedomosti sa voľne zdieľajú.
|
||||
Ak sa zaseknete alebo máte otázky o budovaní AI aplikácií, pridajte sa k ostatným študentom a skúseným vývojárom v diskusiách o MCP. Je to podporná komunita, kde sú otázky vítané a vedomosti sa voľne zdieľajú.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ak máte spätnú väzbu k produktu alebo chyby počas vývoja, navštívte:
|
||||
Ak máte spätnú väzbu k produktu alebo chyby počas budovania, navštívte:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Ak máte spätnú väzbu k produktu alebo chyby počas vývoja, navštívte:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Upozornenie**:
|
||||
Tento dokument bol preložený pomocou služby AI prekladu [Co-op Translator](https://github.com/Azure/co-op-translator). Hoci sa snažíme o presnosť, prosím, berte na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho rodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nenesieme zodpovednosť za akékoľvek nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.
|
||||
Tento dokument bol preložený pomocou služby AI prekladu [Co-op Translator](https://github.com/Azure/co-op-translator). Hoci sa snažíme o presnosť, prosím, uvedomte si, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho pôvodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nezodpovedáme za žiadne nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,17 +1,17 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
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"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
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"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
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|
||||
"source_file": "README.md",
|
||||
"language_code": "sl"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
|
|
@ -33,7 +33,9 @@ Raziskujte svet **umetne inteligence** (AI) z našim 12-tedenskim kurikulumom, k
|
|||
|
||||
#### Podprto prek GitHub Action (Avtomatizirano in vedno posodobljeno)
|
||||
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](./README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Mjanmar)](../my/README.md) | [Kitajščina (poenostavljena)](../zh/README.md) | [Kitajščina (tradicionalna, Hong Kong)](../hk/README.md) | [Kitajščina (tradicionalna, Macao)](../mo/README.md) | [Kitajščina (tradicionalna, Tajvan)](../tw/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Kanada](../kn/README.md) | [Korejščina](../ko/README.md) | [Litovščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Malajalščina](../ml/README.md) | [Maratščina](../mr/README.md) | [Nepalščina](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijščina (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalščina (Brazilija)](../br/README.md) | [Portugalščina (Portugalska)](../pt/README.md) | [Pandžabščina (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahili](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Telugu](../te/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamščina](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Če želite dodati dodatne prevode, so podprti jeziki navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
|
|
@ -46,20 +48,20 @@ Raziskujte svet **umetne inteligence** (AI) z našim 12-tedenskim kurikulumom, k
|
|||
|
||||
V tem kurikulumu se boste naučili:
|
||||
|
||||
* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simboličnim pristopom z **reprezentacijo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevronske mreže** in **globoko učenje**, ki sta jedro sodobne umetne inteligence. Koncepte za temi pomembnimi temami bomo ponazorili s kodo v dveh najbolj priljubljenih okvirjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
|
||||
* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simbolnim pristopom z **reprezentacijo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevronske mreže** in **globoko učenje**, ki sta jedro sodobne umetne inteligence. Koncepte teh pomembnih tem bomo ponazorili s kodo v dveh najbolj priljubljenih okvirjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
|
||||
* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo nedavne modele, vendar morda nekoliko manj najsodobnejše.
|
||||
* Manj priljubljene pristope k umetni inteligenci, kot so **genetski algoritmi** in **večagentni sistemi**.
|
||||
* Manj priljubljene pristope AI, kot so **genetski algoritmi** in **večagentni sistemi**.
|
||||
|
||||
Kaj ne bomo pokrili v tem kurikulumu:
|
||||
|
||||
> [Poiščite vse dodatne vire za ta tečaj v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Poslovne primere uporabe **umetne inteligence v poslovanju**. Razmislite o tečaju [Uvod v umetno inteligenco za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvit v sodelovanju z [INSEAD](https://www.insead.edu/).
|
||||
* Poslovne primere uporabe **AI v poslovanju**. Razmislite o tečaju [Uvod v AI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvit v sodelovanju z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasično strojno učenje**, ki je dobro opisano v našem [Kurikulumu za strojno učenje za začetnike](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktične aplikacije umetne inteligence, zgrajene z uporabo **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [vizijo](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativno AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
|
||||
* Specifične **oblake za strojno učenje**, kot so [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [Izdelava in upravljanje rešitev za strojno učenje z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Izdelava in upravljanje rešitev za strojno učenje z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Pogovorna umetna inteligenca** in **klepetalni roboti**. Obstaja ločena učna pot [Ustvarjanje rešitev za pogovorno umetno inteligenco](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako pa si lahko ogledate [ta blog prispevek](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za več podrobnosti.
|
||||
* Praktične AI aplikacije, zgrajene z uporabo **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [vizijo](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativno AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
|
||||
* Specifične **oblake ML okvire**, kot so [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [Izdelava in upravljanje rešitev strojnega učenja z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Izdelava in upravljanje rešitev strojnega učenja z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Pogovorna AI** in **klepetalni roboti**. Obstaja ločena učna pot [Ustvarjanje rešitev za pogovorno AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako pa si lahko ogledate [ta blog prispevek](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za več podrobnosti.
|
||||
* **Globoka matematika** za globoko učenje. Za to priporočamo knjigo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je na voljo tudi na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Za uvod v teme _AI v oblaku_ razmislite o tečaju [Začnite z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
|
@ -69,9 +71,9 @@ Za uvod v teme _AI v oblaku_ razmislite o tečaju [Začnite z umetno inteligenco
|
|||
| | Povezava do lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavite svoje razvojno okolje](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Uvod v umetno inteligenco**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Uvod in zgodovina umetne inteligence](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolična umetna inteligenca** |
|
||||
| I | [**Uvod v AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Uvod in zgodovina AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolna AI** |
|
||||
| 02 | [Reprezentacija znanja in ekspertni sistemi](./lessons/2-Symbolic/README.md) | [Ekspertni sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Uvod v nevronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Zvezek](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
|
|
@ -80,14 +82,14 @@ Za uvod v teme _AI v oblaku_ razmislite o tečaju [Začnite z umetno inteligenco
|
|||
| IV | [**Računalniški vid**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Raziskovanje računalniškega vida na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Uvod v računalniški vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Zvezek](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Vnaprej naučene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki za učenje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Vnaprej naučene mreže in prenos učenja](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki za učenje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Avtoenkoderji in VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativne nasprotujoče mreže in prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Zaznavanje objektov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantična segmentacija. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Obdelava naravnega jezika**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Raziskovanje obdelave naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Predstavitev besedila. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantične vektorske predstavitve. Word2Vec in GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 14 | [Semantične besedne vektorske predstavitve. Word2Vec in GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modeliranje jezika. Učenje lastnih vektorskih predstavitev](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentne nevronske mreže](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generativne rekurentne mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
|
|
@ -106,7 +108,7 @@ Za uvod v teme _AI v oblaku_ razmislite o tečaju [Začnite z umetno inteligenco
|
|||
## Vsaka lekcija vsebuje
|
||||
|
||||
* Gradivo za predhodno branje
|
||||
* Izvedljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljiv zvezek vsebuje tudi veliko teoretičnega gradiva, zato je za razumevanje teme potrebno preučiti vsaj eno različico zvezka (bodisi PyTorch ali TensorFlow).
|
||||
* Izvedljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljiv zvezek vsebuje tudi veliko teoretičnega gradiva, zato je za razumevanje teme potrebno preučiti vsaj eno različico zvezka (bodisi PyTorch bodisi TensorFlow).
|
||||
* **Laboratorije**, ki so na voljo za nekatere teme in vam omogočajo, da preizkusite uporabo naučenega gradiva na določenem problemu.
|
||||
* Nekateri oddelki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme.
|
||||
|
||||
|
|
@ -144,7 +146,7 @@ Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-dis
|
|||
|
||||
## Kvizi
|
||||
|
||||
> **Opomba o kvizih**: Vsi kvizi so v mapi Quiz-app v etc\quiz-app ali [na voljo tukaj](https://ff-quizzes.netlify.app/). Povezani so znotraj lekcij, aplikacijo za kvize pa lahko zaženete lokalno ali jo namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma so lokalizirani.
|
||||
> **Opomba o kvizih**: Vsi kvizi so v mapi Quiz-app v etc\quiz-app ali [na voljo tukaj](https://ff-quizzes.netlify.app/). Povezani so znotraj lekcij, aplikacijo za kvize pa lahko zaženete lokalno ali jo namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo.
|
||||
|
||||
## Potrebujemo pomoč
|
||||
|
||||
|
|
@ -162,45 +164,51 @@ Imate predloge ali ste našli pravopisne ali programske napake? Odprite težavo
|
|||
|
||||
Naša ekipa ustvarja tudi druge učne načrte! Oglejte si:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija Generativna AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Osnovno učenje
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Pridobivanje pomoči
|
||||
|
||||
Če se zataknete ali imate kakršna koli vprašanja o gradnji AI aplikacij, se pridružite drugim učencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in znanje se deli brez omejitev.
|
||||
Če se zataknete ali imate kakršna koli vprašanja o gradnji AI aplikacij, se pridružite razpravam z drugimi učenci in izkušenimi razvijalci o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in znanje se deli brez omejitev.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Če imate povratne informacije o izdelku ali napake med gradnjo, obiščite:
|
||||
Če imate povratne informacije o izdelku ali naletite na napake med gradnjo, obiščite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -208,5 +216,5 @@ Naša ekipa ustvarja tudi druge učne načrte! Oglejte si:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Omejitev odgovornosti**:
|
||||
Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da lahko avtomatizirani prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem maternem jeziku je treba obravnavati kot avtoritativni vir. Za ključne informacije priporočamo profesionalni človeški prevod. Ne prevzemamo odgovornosti za morebitne nesporazume ali napačne razlage, ki izhajajo iz uporabe tega prevoda.
|
||||
Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da lahko avtomatizirani prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvirnem jeziku je treba obravnavati kot avtoritativni vir. Za ključne informacije priporočamo profesionalni človeški prevod. Ne prevzemamo odgovornosti za morebitne nesporazume ali napačne razlage, ki izhajajo iz uporabe tega prevoda.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:17:33+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:56:17+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sr"
|
||||
}
|
||||
|
|
@ -49,7 +49,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
У овом курикулуму ћете научити:
|
||||
|
||||
* Различите приступе вештачкој интелигенцији, укључујући "добри стари" симболички приступ са **репрезентацијом знања** и резоновањем ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Неуронске мреже** и **дубоко учење**, који су у срцу модерне AI. Илустроваћемо концепте иза ових важних тема користећи код у два најпопуларнија оквира - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org).
|
||||
* **Неуронске мреже** и **дубоко учење**, који су у срцу модерне вештачке интелигенције. Илустроваћемо концепте иза ових важних тема користећи код у два најпопуларнија оквира - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org).
|
||||
* **Неуронске архитектуре** за рад са сликама и текстом. Покрићемо новије моделе, али можда нећемо обухватити најсавременије.
|
||||
* Мање популарне AI приступе, као што су **генетски алгоритми** и **системи са више агената**.
|
||||
|
||||
|
|
@ -79,18 +79,18 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Бележница](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лабораторија](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Вишеслојни Перцептрон и креирање сопственог оквира](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Бележница](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лабораторија](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Увод у оквире (PyTorch/TensorFlow) и пренапрегнутост](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторија](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Компјутерски вид**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Истражите компјутерски вид на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Увод у компјутерски вид. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Бележница](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторија](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| IV | [**Рачунарски вид**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Истражите рачунарски вид на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Увод у рачунарски вид. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Бележница](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторија](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Конволуционе неуронске мреже](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектуре CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лабораторија](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Унапред обучене мреже и трансфер учења](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Трикови за тренинг](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторија](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Аутоенкодери и Варијациони аутоенкодери (VAEs)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Генеративне противничке мреже (GANs) и пренос уметничког стила](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 08 | [Унапред обучене мреже и трансфер учење](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Трикови за обуку](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторија](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Аутоенкодери и ВАЕ](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Генеративне адверзаријалне мреже и пренос уметничког стила](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Детекција објеката](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторија](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Семантичка сегментација. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Обрада природног језика**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Истражите обраду природног језика на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Репрезентација текста. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Семантички уграђивања речи. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Моделирање језика. Тренинг сопствених уграђивања](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лабораторија](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Семантички уграђени модели речи. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Моделирање језика. Обука сопствених уграђених модела](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лабораторија](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Рекурентне неуронске мреже](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Генеративне рекурентне мреже](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лабораторија](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Трансформери. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
|
|
@ -107,9 +107,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## Свака лекција садржи
|
||||
|
||||
* Материјал за предчитање
|
||||
* Извршиве Jupyter бележнице, које су често специфичне за оквир (**PyTorch** или **TensorFlow**). Извршива бележница такође садржи доста теоријског материјала, па да бисте разумели тему, потребно је да прођете бар једну верзију бележнице (било PyTorch или TensorFlow).
|
||||
* **Лабораторије** доступне за неке теме, које вам пружају прилику да примените материјал који сте научили на одређени проблем.
|
||||
* Материјал за претходно читање
|
||||
* Извршиве Jupyter бележнице, које су често специфичне за оквир (**PyTorch** или **TensorFlow**). Извршива бележница такође садржи доста теоријског материјала, тако да је за разумевање теме потребно проћи барем једну верзију бележнице (било PyTorch или TensorFlow).
|
||||
* **Лабораторије** доступне за неке теме, које вам пружају прилику да примените научени материјал на одређени проблем.
|
||||
* Неке секције садрже линкове ка [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) модулима који покривају повезане теме.
|
||||
|
||||
## Почетак
|
||||
|
|
@ -119,7 +119,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
Ако сте потпуно нови у вештачкој интелигенцији и желите брзе, практичне примере, погледајте наше [**Примере за почетнике**](./examples/README.md)! Они укључују:
|
||||
|
||||
- 🌟 **Здраво, свет вештачке интелигенције** - Ваш први програм вештачке интелигенције (препознавање образаца)
|
||||
- 🧠 **Једноставна неуронска мрежа** - Направите неуронску мрежу од нуле
|
||||
- 🧠 **Једноставна неуронска мрежа** - Изградите неуронску мрежу од нуле
|
||||
- 🖼️ **Класификатор слика** - Класификујте слике са детаљним коментарима
|
||||
- 💬 **Анализа текста** - Анализирајте позитиван/негативан текст
|
||||
|
||||
|
|
@ -144,13 +144,13 @@ Fork-ујте репозиторијум: Кликните на дугме "Fork
|
|||
|
||||
Ако имате повратне информације о производу или питања током изградње, посетите наш [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Квизови
|
||||
## Квизови
|
||||
|
||||
> **Напомена о квизовима**: Сви квизови се налазе у фасцикли Quiz-app у etc\quiz-app, или [онлајн овде](https://ff-quizzes.netlify.app/). Они су повезани унутар лекција, а апликација за квиз може се покренути локално или поставити на Azure; пратите упутства у фасцикли `quiz-app`. Постепено се локализују.
|
||||
|
||||
## Потребна помоћ
|
||||
|
||||
Имате предлоге или сте пронашли правописне или кодне грешке? Отворите проблем или направите pull захтев.
|
||||
Имате предлоге или сте пронашли правописне или кодне грешке? Отворите питање или направите pull request.
|
||||
|
||||
## Посебна захвалност
|
||||
|
||||
|
|
@ -158,17 +158,23 @@ Fork-ујте репозиторијум: Кликните на дугме "Fork
|
|||
* **🔥 Уредник:** [Џен Лупер](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Илустратор скица:** [Томоми Имура](https://twitter.com/girlie_mac)
|
||||
* **✅ Креатор квизова:** [Латифа Бело](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Главни сарадници:** [Јевгениј Пишчик](https://github.com/Pe4enIks)
|
||||
* **🙏 Главни сарадници:** [Евгениј Пишчик](https://github.com/Pe4enIks)
|
||||
|
||||
## Остали курикулуми
|
||||
|
||||
Наш тим производи и друге курикулуме! Погледајте:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Агенти
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -198,7 +204,7 @@ Fork-ујте репозиторијум: Кликните на дугме "Fork
|
|||
|
||||
## Добијање помоћи
|
||||
|
||||
Ако запнете или имате било каква питања о изградњи AI апликација, придружите се другим учесницима и искусним програмерима у дискусијама о MCP. То је подржавајућа заједница где су питања добродошла, а знање се слободно дели.
|
||||
Ако запнете или имате било каква питања око изградње AI апликација, придружите се другим учесницима и искусним програмерима у дискусијама о MCP. То је подржавајућа заједница где су питања добродошла, а знање се слободно дели.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Fork-ујте репозиторијум: Кликните на дугме "Fork
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Одрицање од одговорности**:
|
||||
Овај документ је преведен помоћу услуге за превођење вештачке интелигенције [Co-op Translator](https://github.com/Azure/co-op-translator). Иако настојимо да обезбедимо тачност, молимо вас да имате у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на изворном језику треба сматрати меродавним извором. За критичне информације препоручује се професионални превод од стране људи. Не преузимамо одговорност за било каква погрешна тумачења или неспоразуме који могу настати услед коришћења овог превода.
|
||||
Овај документ је преведен коришћењем услуге за превођење помоћу вештачке интелигенције [Co-op Translator](https://github.com/Azure/co-op-translator). Иако се трудимо да обезбедимо тачност, молимо вас да имате у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на изворном језику треба сматрати ауторитативним извором. За критичне информације препоручује се професионални превод од стране људи. Не сносимо одговорност за било каква погрешна тумачења или неспоразуме који могу произаћи из коришћења овог превода.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:49:00+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:30:45+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sv"
|
||||
}
|
||||
|
|
@ -50,7 +50,7 @@ I denna kursplan kommer du att lära dig:
|
|||
|
||||
* Olika tillvägagångssätt för Artificiell Intelligens, inklusive det "gamla goda" symboliska tillvägagångssättet med **Kunskapsrepresentation** och resonemang ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neurala Nätverk** och **Djupinlärning**, som är kärnan i modern AI. Vi kommer att illustrera koncepten bakom dessa viktiga ämnen med kod i två av de mest populära ramverken - [TensorFlow](http://Tensorflow.org) och [PyTorch](http://pytorch.org).
|
||||
* **Neurala Arkitekturer** för att arbeta med bilder och text. Vi kommer att täcka aktuella modeller men kanske inte de allra senaste.
|
||||
* **Neurala Arkitekturer** för att arbeta med bilder och text. Vi kommer att täcka moderna modeller men kanske inte de allra senaste.
|
||||
* Mindre populära AI-metoder, såsom **Genetiska Algoritmer** och **Multi-Agent System**.
|
||||
|
||||
Vad vi inte kommer att täcka i denna kursplan:
|
||||
|
|
@ -61,7 +61,7 @@ Vad vi inte kommer att täcka i denna kursplan:
|
|||
* **Klassisk Maskininlärning**, som är väl beskriven i vår [Maskininlärning för Nybörjare Kursplan](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktiska AI-applikationer byggda med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. För detta rekommenderar vi att du börjar med moduler på Microsoft Learn för [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** och andra.
|
||||
* Specifika ML **Molnramverk**, såsom [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Överväg att använda [Bygg och driv maskininlärningslösningar med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) och [Bygg och driv maskininlärningslösningar med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) lärvägar.
|
||||
* **Konverserande AI** och **Chatbots**. Det finns en separat [Skapa konverserande AI-lösningar](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) lärväg, och du kan också hänvisa till [detta blogginlägg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) för mer detaljer.
|
||||
* **Konversations-AI** och **Chattbotar**. Det finns en separat [Skapa konversations-AI-lösningar](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) lärväg, och du kan också hänvisa till [detta blogginlägg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) för mer detaljer.
|
||||
* **Djup Matematik** bakom djupinlärning. För detta skulle vi rekommendera [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio och Aaron Courville, som också är tillgänglig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
För en mjuk introduktion till _AI i Molnet_-ämnen kan du överväga att ta [Kom igång med artificiell intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) lärväg.
|
||||
|
|
@ -84,7 +84,7 @@ För en mjuk introduktion till _AI i Molnet_-ämnen kan du överväga att ta [Ko
|
|||
| 07 | [Konvolutionella Neurala Nätverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Förtränade Nätverk och Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) och [Träningstips](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodare och VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativa Adversariella Nätverk & Konstnärlig Stilöverföring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Generativa Adversariella Nätverk & Artistisk Stilöverföring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Objektdetektering](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantisk Segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Naturlig Språkbehandling**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Utforska Naturlig Språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -101,7 +101,7 @@ För en mjuk introduktion till _AI i Molnet_-ämnen kan du överväga att ta [Ko
|
|||
| 22 | [Djup Förstärkningsinlärning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Multi-Agent System](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI Etik** | | |
|
||||
| 24 | [AI Etik och Ansvarsfull AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principer för Ansvarsfull AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [AI Etik och Ansvarsfull AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Ansvarsfull AI-principer](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extras** | | |
|
||||
| 25 | [Multi-Modala Nätverk, CLIP och VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
|
|
@ -121,34 +121,34 @@ Om du är helt ny på AI och vill ha snabba, praktiska exempel, kolla in våra [
|
|||
- 🌟 **Hello AI World** - Ditt första AI-program (mönsterigenkänning)
|
||||
- 🧠 **Enkel Neuralt Nätverk** - Bygg ett neuralt nätverk från grunden
|
||||
- 🖼️ **Bildklassificerare** - Klassificera bilder med detaljerade kommentarer
|
||||
- 💬 **Textkänsla** - Analysera positiv/negativ text
|
||||
- 💬 **Textanalys av känslor** - Analysera positiv/negativ text
|
||||
|
||||
Dessa exempel är utformade för att hjälpa dig förstå AI-koncept innan du går vidare till hela kursplanen.
|
||||
Dessa exempel är utformade för att hjälpa dig förstå AI-koncept innan du dyker in i hela kursplanen.
|
||||
|
||||
### 📚 Fullständig kursplan
|
||||
### 📚 Fullständig kursplan och installation
|
||||
|
||||
- Vi har skapat en [introduktionslektion](./lessons/0-course-setup/setup.md) för att hjälpa dig med att ställa in din utvecklingsmiljö. - För lärare har vi också skapat en [kursplanintroduktion](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Hur man [kör koden i VSCode eller Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Vi har skapat en [introduktionslektion](./lessons/0-course-setup/setup.md) för att hjälpa dig med att ställa in din utvecklingsmiljö. - För lärare har vi också skapat en [kursplaninstallation](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Hur man [kör koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Följ dessa steg:
|
||||
|
||||
Forka repot: Klicka på "Fork"-knappen längst upp till höger på denna sida.
|
||||
Forka Repositoriet: Klicka på "Fork"-knappen längst upp till höger på denna sida.
|
||||
|
||||
Klona repot: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Klona Repositoriet: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Glöm inte att stjärnmärka (🌟) detta repo för att lättare hitta det senare.
|
||||
|
||||
## Träffa andra deltagare
|
||||
|
||||
Gå med i vår [officiella AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) för att träffa och nätverka med andra deltagare som tar denna kurs och få stöd.
|
||||
Gå med i vår [officiella AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) för att träffa och nätverka med andra deltagare som går denna kurs och få stöd.
|
||||
|
||||
Om du har produktfeedback eller frågor under byggandet, besök vårt [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Om du har produktfeedback eller frågor medan du bygger, besök vårt [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quiz
|
||||
|
||||
> **En notering om quiz**: Alla quiz finns i Quiz-app-mappen i etc\quiz-app, eller [Online Här](https://ff-quizzes.netlify.app/) De är länkade från lektionerna och quiz-appen kan köras lokalt eller distribueras till Azure; följ instruktionerna i `quiz-app`-mappen. De lokaliseras gradvis.
|
||||
> **En notis om quiz**: Alla quiz finns i mappen Quiz-app i etc\quiz-app, eller [Online Här](https://ff-quizzes.netlify.app/). De är länkade från lektionerna och quiz-appen kan köras lokalt eller distribueras till Azure; följ instruktionerna i `quiz-app`-mappen. De lokaliseras gradvis.
|
||||
|
||||
## Hjälp sökes
|
||||
## Hjälp önskas
|
||||
|
||||
Har du förslag eller hittat stavfel eller kodfel? Skapa ett ärende eller en pull request.
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Har du förslag eller hittat stavfel eller kodfel? Skapa ett ärende eller en pu
|
|||
|
||||
Vårt team producerar andra kursplaner! Kolla in:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenter
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -202,7 +208,7 @@ Om du fastnar eller har frågor om att bygga AI-appar. Gå med andra deltagare o
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Om du har produktfeedback eller fel under byggandet, besök:
|
||||
Om du har produktfeedback eller stöter på fel medan du bygger, besök:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Om du har produktfeedback eller fel under byggandet, besök:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Ansvarsfriskrivning**:
|
||||
Detta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, bör det noteras att automatiserade översättningar kan innehålla fel eller felaktigheter. Det ursprungliga dokumentet på dess ursprungliga språk bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för eventuella missförstånd eller feltolkningar som uppstår vid användning av denna översättning.
|
||||
Detta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, bör du vara medveten om att automatiserade översättningar kan innehålla fel eller felaktigheter. Det ursprungliga dokumentet på dess originalspråk bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för eventuella missförstånd eller feltolkningar som uppstår vid användning av denna översättning.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:06:08+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:45:53+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sw"
|
||||
}
|
||||
|
|
@ -42,24 +42,24 @@ Gundua ulimwengu wa **Akili Bandia** (AI) kupitia mtaala wetu wa wiki 12, masomo
|
|||
## Jiunge na Jamii
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Unachojifunza
|
||||
## Kile Utakachojifunza
|
||||
|
||||
**[Ramani ya Akili ya Kozi](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Katika mtaala huu, utajifunza:
|
||||
|
||||
* Njia tofauti za Akili Bandia, ikijumuisha njia ya zamani ya alama na **Uwakilishi wa Maarifa** na hoja ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Mitandao ya Neural** na **Kujifunza kwa Kina**, ambavyo ni msingi wa AI ya kisasa. Tutaonyesha dhana za mada hizi muhimu kwa kutumia msimbo katika mifumo miwili maarufu - [TensorFlow](http://Tensorflow.org) na [PyTorch](http://pytorch.org).
|
||||
* **Miundo ya Neural** kwa kazi na picha na maandishi. Tutashughulikia mifano ya hivi karibuni lakini huenda tukakosa hali ya kisasa zaidi.
|
||||
* **Mitandao ya Neural** na **Kujifunza kwa Kina**, ambavyo ni msingi wa AI ya kisasa. Tutaelezea dhana za mada hizi muhimu kwa kutumia msimbo katika mifumo miwili maarufu - [TensorFlow](http://Tensorflow.org) na [PyTorch](http://pytorch.org).
|
||||
* **Miundo ya Neural** kwa kazi na picha na maandishi. Tutashughulikia mifano ya hivi karibuni lakini huenda tukakosa baadhi ya hali ya kisasa.
|
||||
* Njia za AI zisizo maarufu, kama vile **Algorithimu za Kijenetiki** na **Mifumo ya Wakala Wengi**.
|
||||
|
||||
Mambo ambayo hatutashughulikia katika mtaala huu:
|
||||
Kile ambacho hatutashughulikia katika mtaala huu:
|
||||
|
||||
> [Pata rasilimali zote za ziada za kozi hii katika mkusanyiko wetu wa Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Matumizi ya biashara ya **AI katika Biashara**. Fikiria kuchukua [Utangulizi wa AI kwa watumiaji wa biashara](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) kwenye Microsoft Learn, au [Shule ya Biashara ya AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), iliyotengenezwa kwa kushirikiana na [INSEAD](https://www.insead.edu/).
|
||||
* **Kujifunza kwa Mashine kwa Kawaida**, ambako kumeelezewa vizuri katika [Mtaala wa Kujifunza kwa Mashine kwa Kompyuta](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Matumizi ya AI ya vitendo yaliyotengenezwa kwa kutumia **[Huduma za Utambuzi](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Kwa hili, tunapendekeza uanze na moduli za Microsoft Learn kwa [maono](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [usindikaji wa lugha asilia](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** na nyinginezo.
|
||||
* Matumizi ya AI ya vitendo yaliyotengenezwa kwa kutumia **[Huduma za Utambuzi](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Kwa hili, tunapendekeza uanze na moduli za Microsoft Learn kwa [maono](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [usindikaji wa lugha asilia](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI ya Kizazi na Huduma ya Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** na nyinginezo.
|
||||
* Mfumo maalum wa ML **Cloud Frameworks**, kama [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), au [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Fikiria kutumia [Jenga na endesha suluhisho za kujifunza kwa mashine na Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) na [Jenga na Endesha Suluhisho za Kujifunza kwa Mashine na Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) njia za kujifunza.
|
||||
* **AI ya Mazungumzo** na **Chat Bots**. Kuna njia tofauti ya kujifunza [Unda suluhisho za AI za mazungumzo](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), na pia unaweza kurejelea [chapisho hili la blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) kwa maelezo zaidi.
|
||||
* **Hisabati ya Kina** nyuma ya kujifunza kwa kina. Kwa hili, tunapendekeza [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) na Ian Goodfellow, Yoshua Bengio na Aaron Courville, ambayo pia inapatikana mtandaoni katika [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
|
@ -77,28 +77,28 @@ Kwa utangulizi wa polepole wa mada za _AI katika Wingu_, unaweza kufikiria kuchu
|
|||
| 02 | [Uwakilishi wa Maarifa na Mifumo ya Wataalamu](./lessons/2-Symbolic/README.md) | [Mifumo ya Wataalamu](./lessons/2-Symbolic/Animals.ipynb) / [Ontolojia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafu ya Dhana](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Utangulizi wa Mitandao ya Neural**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron ya Tabaka Nyingi na Kuunda Mfumo Wetu](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron na Kuunda Mfumo Wetu Wenyewe](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Utangulizi wa Mifumo (PyTorch/TensorFlow) na Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Uchambuzi wa Picha**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Gundua Uchambuzi wa Picha kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Utangulizi wa Uchambuzi wa Picha. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| IV | [**Maono ya Kompyuta**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Chunguza Maono ya Kompyuta kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Utangulizi wa Maono ya Kompyuta. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Mitandao ya Neural ya Convolutional](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Miundo ya CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Mitandao Iliyofunzwa Tayari na Kujifunza kwa Uhamisho](./lessons/4-ComputerVision/08-TransferLearning/README.md) na [Mbinu za Mafunzo](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Mitandao Iliyofunzwa Awali na Kujifunza kwa Uhamisho](./lessons/4-ComputerVision/08-TransferLearning/README.md) na [Mbinu za Mafunzo](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders na VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Mitandao ya Kizazi ya Adversarial & Uhamisho wa Mtindo wa Kisanifu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Mitandao ya Generative Adversarial & Uhamisho wa Mtindo wa Kisanii](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Utambuzi wa Vitu](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Ugawaji wa Semantic. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Usindikaji wa Lugha Asilia**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Gundua Usindikaji wa Lugha Asilia kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 12 | [Ugawaji wa Kisemantiki. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Usindikaji wa Lugha Asilia**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Chunguza Usindikaji wa Lugha Asilia kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Uwakilishi wa Maandishi. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Uwekaji wa Neno la Semantic. Word2Vec na GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Uundaji wa Lugha. Kufundisha Uwekaji wako mwenyewe](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Mitandao ya Neural ya Kurudia](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Mitandao ya Kizazi ya Kurudia](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 14 | [Uwekaji wa Maneno ya Kisemantiki. Word2Vec na GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Uundaji wa Lugha. Kufundisha Uwekaji Wako Mwenyewe](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Mitandao ya Neural ya Kurudiarudia](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Mitandao ya Generative ya Kurudiarudia](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Utambuzi wa Vitu vya Majina](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Miundo Mikubwa ya Lugha, Programu ya Maelekezo na Kazi za Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Mitandao Mikubwa ya Lugha, Uandishi wa Maagizo na Kazi za Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Mbinu Nyingine za AI** || |
|
||||
| 21 | [Algorithms za Kijenetiki](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Kujifunza kwa Kuimarisha Kina](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 21 | [Algorithimu za Kijenetiki](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Kujifunza kwa Kuimarisha kwa Kina](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Mifumo ya Wakala Wengi](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Maadili ya AI** | | |
|
||||
| 24 | [Maadili ya AI na AI ya Uwajibikaji](./lessons/7-Ethics/README.md) | [Microsoft Learn: Kanuni za AI ya Uwajibikaji](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
|
|
@ -108,45 +108,45 @@ Kwa utangulizi wa polepole wa mada za _AI katika Wingu_, unaweza kufikiria kuchu
|
|||
## Kila somo linajumuisha
|
||||
|
||||
* Vifaa vya kusoma kabla
|
||||
* Jupyter Notebooks zinazoweza kutekelezwa, ambazo mara nyingi ni maalum kwa mfumo (**PyTorch** au **TensorFlow**). Notebook inayoweza kutekelezwa pia ina maudhui mengi ya nadharia, kwa hivyo ili kuelewa mada unahitaji kupitia angalau toleo moja la notebook (ama PyTorch au TensorFlow).
|
||||
* **Labs** zinazopatikana kwa baadhi ya mada, ambazo zinakupa fursa ya kujaribu kutumia maudhui uliyoyajifunza kwa tatizo maalum.
|
||||
* Jupyter Notebooks zinazoweza kutekelezwa, ambazo mara nyingi ni maalum kwa mfumo (**PyTorch** au **TensorFlow**). Notebook inayoweza kutekelezwa pia ina nyenzo nyingi za kinadharia, kwa hivyo ili kuelewa mada unahitaji kupitia angalau toleo moja la notebook (ama PyTorch au TensorFlow).
|
||||
* **Maabara** yanayopatikana kwa baadhi ya mada, ambayo yanakupa fursa ya kujaribu kutumia nyenzo ulizojifunza kwa tatizo maalum.
|
||||
* Sehemu zingine zina viungo vya moduli za [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) zinazoshughulikia mada zinazohusiana.
|
||||
|
||||
## Kuanza
|
||||
|
||||
### 🎯 Mpya kwa AI? Anza Hapa!
|
||||
|
||||
Ikiwa wewe ni mpya kabisa kwa AI na unataka mifano ya haraka, ya vitendo, angalia [**Mifano Rafiki kwa Kompyuta**](./examples/README.md)! Hii inajumuisha:
|
||||
Ikiwa wewe ni mgeni kabisa kwa AI na unataka mifano ya haraka, ya vitendo, angalia [**Mifano Rafiki kwa Kompyuta**](./examples/README.md)! Hii inajumuisha:
|
||||
|
||||
- 🌟 **Hello AI World** - Programu yako ya kwanza ya AI (utambuzi wa mifumo)
|
||||
- 🧠 **Mtandao Rahisi wa Neural** - Jenga mtandao wa neural kutoka mwanzo
|
||||
- 🖼️ **Kainishi wa Picha** - Kainisha picha na maelezo ya kina
|
||||
- 🖼️ **Kainisha Picha** - Kainisha picha na maelezo ya kina
|
||||
- 💬 **Hisia za Maandishi** - Changanua maandishi chanya/hasira
|
||||
|
||||
Mifano hii imeundwa ili kukusaidia kuelewa dhana za AI kabla ya kuanza mtaala kamili.
|
||||
Mifano hii imeundwa ili kukusaidia kuelewa dhana za AI kabla ya kuingia kwenye mtaala kamili.
|
||||
|
||||
### 📚 Mpangilio wa Mtaala Kamili
|
||||
### 📚 Usanidi wa Mtaala Kamili
|
||||
|
||||
- Tumeunda [somo la mpangilio](./lessons/0-course-setup/setup.md) kukusaidia kuandaa mazingira yako ya maendeleo. - Kwa Walimu, tumeunda [somo la mpangilio wa mtaala](./lessons/0-course-setup/for-teachers.md) kwa ajili yako pia!
|
||||
- Tumeunda [somo la usanidi](./lessons/0-course-setup/setup.md) kukusaidia kuandaa mazingira yako ya maendeleo. - Kwa Walimu, tumeunda [somo la usanidi wa mtaala](./lessons/0-course-setup/for-teachers.md) kwa ajili yako pia!
|
||||
- Jinsi ya [Kuendesha msimbo katika VSCode au Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Fuata hatua hizi:
|
||||
|
||||
Fanya Fork ya Hifadhi: Bonyeza kitufe cha "Fork" kwenye kona ya juu-kulia ya ukurasa huu.
|
||||
Fork Hifadhi: Bonyeza kitufe cha "Fork" kilicho juu-kulia ya ukurasa huu.
|
||||
|
||||
Clone Hifadhi: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Usisahau kuweka nyota (🌟) kwenye hifadhi hii ili kuipata kwa urahisi baadaye.
|
||||
Usisahau kuweka alama ya nyota (🌟) kwenye hifadhi hii ili iwe rahisi kuipata baadaye.
|
||||
|
||||
## Kutana na Wanafunzi Wengine
|
||||
|
||||
Jiunge na [seva rasmi ya Discord ya AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ili kukutana na kuungana na wanafunzi wengine wanaochukua kozi hii na kupata msaada.
|
||||
Jiunge na [seva rasmi ya AI ya Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kukutana na kuungana na wanafunzi wengine wanaochukua kozi hii na kupata msaada.
|
||||
|
||||
Ikiwa una maoni ya bidhaa au maswali wakati wa kujenga tembelea [Jukwaa la Azure AI Foundry Developer](https://aka.ms/foundry/forum)
|
||||
Ikiwa una maoni ya bidhaa au maswali wakati wa kujenga, tembelea [Jukwaa la Wataalamu wa Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Maswali ya Quiz
|
||||
|
||||
> **Kumbuka kuhusu maswali ya quiz**: Maswali yote ya quiz yamewekwa kwenye folda ya Quiz-app katika etc\quiz-app, au [Mtandaoni Hapa](https://ff-quizzes.netlify.app/) Yameunganishwa kutoka ndani ya masomo, programu ya quiz inaweza kuendeshwa ndani au kupelekwa kwenye Azure; fuata maelekezo katika folda ya `quiz-app`. Yanatafsiriwa hatua kwa hatua.
|
||||
> **Kuhusu maswali ya quiz**: Maswali yote ya quiz yamehifadhiwa kwenye folda ya Quiz-app katika etc\quiz-app, au [Mtandaoni Hapa](https://ff-quizzes.netlify.app/) Yameunganishwa kutoka ndani ya masomo, programu ya quiz inaweza kuendeshwa ndani ya nchi au kupelekwa kwenye Azure; fuata maelekezo kwenye folda ya `quiz-app`. Yanatafsiriwa hatua kwa hatua.
|
||||
|
||||
## Msaada Unahitajika
|
||||
|
||||
|
|
@ -164,45 +164,51 @@ Je, una mapendekezo au umepata makosa ya tahajia au msimbo? Fungua suala au unda
|
|||
|
||||
Timu yetu inazalisha mitaala mingine! Angalia:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Mawakala
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Mfululizo wa AI ya Kizazi
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Mfululizo wa AI Inayozalisha
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Kujifunza kwa Msingi
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Kujifunza Msingi
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Mfululizo wa Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Kupata Msaada
|
||||
|
||||
Ikiwa unakwama au una maswali kuhusu kujenga programu za AI. Jiunge na wanafunzi wenzako na watengenezaji wenye uzoefu katika mijadala kuhusu MCP. Ni jamii inayosaidia ambapo maswali yanakaribishwa na maarifa yanashirikiwa kwa uhuru.
|
||||
Ikiwa utakwama au una maswali yoyote kuhusu kujenga programu za AI. Jiunge na wanafunzi wenzako na watengenezaji wenye uzoefu katika mijadala kuhusu MCP. Ni jamii inayosaidia ambapo maswali yanakaribishwa na maarifa yanashirikiwa kwa uhuru.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ikiwa una maoni ya bidhaa au makosa wakati wa kujenga tembelea:
|
||||
Ikiwa una maoni ya bidhaa au makosa wakati wa kujenga, tembelea:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Ikiwa una maoni ya bidhaa au makosa wakati wa kujenga tembelea:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Kanusho**:
|
||||
Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kwa usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati ya asili katika lugha yake ya asili inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya binadamu inapendekezwa. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii.
|
||||
Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kwa usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati ya asili katika lugha yake ya awali inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya binadamu inapendekezwa. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:29:29+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:05:29+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
|
|
@ -21,109 +21,109 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# தொடக்கநிலை செயற்கை நுண்ணறிவு - பாடத்திட்டம்
|
||||
# தொடக்கத்திற்கான செயற்கை நுண்ணறிவு - ஒரு பாடத்திட்டம்
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| தொடக்கநிலை செயற்கை நுண்ணறிவு - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| தொடக்கத்திற்கான செயற்கை நுண்ணறிவு - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**செயற்கை நுண்ணறிவு** (AI) உலகத்தை 12 வாரங்கள், 24 பாடங்கள் கொண்ட பாடத்திட்டத்தின் மூலம் ஆராயுங்கள்! இது நடைமுறை பாடங்கள், வினாடி வினா, மற்றும் ஆய்வகங்களை உள்ளடக்கியது. இந்த பாடத்திட்டம் தொடக்கநிலை மாணவர்களுக்கு ஏற்றது மற்றும் TensorFlow மற்றும் PyTorch போன்ற கருவிகள், மேலும் AI துறையில் நெறிமுறைகள் பற்றிய தகவல்களை உள்ளடக்கியது.
|
||||
**செயற்கை நுண்ணறிவு** (AI) உலகத்தை 12 வாரங்கள், 24 பாடங்களுடன் கொண்ட பாடத்திட்டத்தின் மூலம் ஆராயுங்கள்! இது நடைமுறை பாடங்கள், வினாடி வினா மற்றும் ஆய்வகங்களை உள்ளடக்கியது. இந்த பாடத்திட்டம் தொடக்க நிலைக்கு ஏற்றது மற்றும் TensorFlow மற்றும் PyTorch போன்ற கருவிகளையும், AI இல் நெறிமுறைகளையும் உள்ளடக்கியது.
|
||||
|
||||
### 🌐 பல மொழி ஆதரவு
|
||||
|
||||
#### GitHub செயல்முறை மூலம் (தானியங்கி மற்றும் எப்போதும் புதுப்பிக்கப்பட்டது)
|
||||
#### GitHub செயல்முறையின் மூலம் ஆதரிக்கப்படுகிறது (தானியங்கி மற்றும் எப்போதும் புதுப்பிக்கப்பட்டது)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](./README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**கூடுதல் மொழிபெயர்ப்புகளை ஆதரிக்க விரும்பினால், [இங்கே](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) பட்டியலிடப்பட்டுள்ள மொழிகளை பார்க்கவும்**
|
||||
**மேலும் மொழிபெயர்ப்புகளை ஆதரிக்க விரும்பினால், ஆதரிக்கப்படும் மொழிகள் [இங்கே](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) பட்டியலிடப்பட்டுள்ளன.**
|
||||
|
||||
## சமூகத்தில் சேருங்கள்
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## நீங்கள் என்ன கற்றுக்கொள்வீர்கள்
|
||||
|
||||
**[பாடத்திட்டத்தின் மனப்படம்](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[பாடநெறியின் மனவரைபடம்](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
இந்த பாடத்திட்டத்தில், நீங்கள் கற்றுக்கொள்வீர்கள்:
|
||||
|
||||
* **செயற்கை நுண்ணறிவு** பற்றிய பல்வேறு அணுகுமுறைகள், குறிப்பாக பழைய சின்னவியல் அணுகுமுறை **அறிவு பிரதிநிதித்துவம்** மற்றும் காரணம் ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **நியூரல் நெட்வொர்க்கள்** மற்றும் **ஆழமான கற்றல்**, இது நவீன AI இன் மையமாக உள்ளது. இந்த முக்கியமான தலைப்புகளின் பின்னால் உள்ள கருத்துகளை [TensorFlow](http://Tensorflow.org) மற்றும் [PyTorch](http://pytorch.org) போன்ற பிரபலமான கட்டமைப்புகளில் உள்ள குறியீடுகளைப் பயன்படுத்தி விளக்குவோம்.
|
||||
* **நியூரல் கட்டமைப்புகள்** படங்கள் மற்றும் உரைகளுடன் வேலை செய்ய. சமீபத்திய மாதிரிகளை நாம் கையாளுவோம், ஆனால் தற்போதைய நிலைமையைப் பற்றிய தகவல்கள் குறைவாக இருக்கலாம்.
|
||||
* **ஜெனடிக் ஆல்காரிதங்கள்** மற்றும் **பல முகவர் அமைப்புகள்** போன்ற குறைவாக பிரபலமான AI அணுகுமுறைகள்.
|
||||
* **செயற்கை நுண்ணறிவின்** பல்வேறு அணுகுமுறைகள், குறிப்பாக பழைய சின்னமான அணுகுமுறை **அறிவு பிரதிநிதித்துவம்** மற்றும் தர்க்கம் ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **நரம்பியல் வலைப்பின்னல்கள்** மற்றும் **ஆழமான கற்றல்**, இவை நவீன AI இன் மையமாக உள்ளன. இந்த முக்கியமான தலைப்புகளின் கருத்துக்களை [TensorFlow](http://Tensorflow.org) மற்றும் [PyTorch](http://pytorch.org) போன்ற பிரபலமான கட்டமைப்புகளில் உள்ள குறியீடுகளைப் பயன்படுத்தி விளக்குவோம்.
|
||||
* படங்கள் மற்றும் உரைகளுடன் வேலை செய்ய **நரம்பியல் கட்டமைப்புகள்**. சமீபத்திய மாதிரிகளை நாங்கள் கையாளுவோம், ஆனால் தற்போதைய நிலையைப் பற்றிய தகவல்கள் குறைவாக இருக்கலாம்.
|
||||
* **மரபுவழி அல்லாத AI அணுகுமுறைகள்**, உதாரணமாக **மரபணு அல்காரிதங்கள்** மற்றும் **பல முகவர் அமைப்புகள்**.
|
||||
|
||||
இந்த பாடத்திட்டத்தில் நாம் கையாளாதவை:
|
||||
|
||||
> [இந்த பாடத்திற்கான கூடுதல் வளங்களை Microsoft Learn தொகுப்பில் காணவும்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **வணிகத்தில் AI** பயன்படுத்துவதற்கான வணிக வழக்குகள். [வணிக பயனர்களுக்கான AI அறிமுகம்](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) Microsoft Learn இல் கற்றல் பாதையை எடுத்துக்கொள்ளவும் அல்லது [AI வணிக பள்ளி](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) உடன் இணைந்து உருவாக்கப்பட்டது.
|
||||
* **சாதாரண மெஷின் கற்றல்**, இது நன்றாக விவரிக்கப்பட்டுள்ளது [தொடக்கநிலை மெஷின் கற்றல் பாடத்திட்டத்தில்](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* **காக்னிடிவ் சர்வீசஸ்** பயன்படுத்தி உருவாக்கப்பட்ட நடைமுறை AI பயன்பாடுகள். இதற்காக, Microsoft Learn இல் [கணினி பார்வை](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [இயற்கை மொழி செயலாக்கம்](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI சேவையுடன் உருவாக்க AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** மற்றும் பிறவற்றைத் தொடங்க பரிந்துரைக்கிறோம்.
|
||||
* **கிளவுட் மெஷின் கற்றல் கட்டமைப்புகள்**, [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), அல்லது [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) போன்றவை. [Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) மற்றும் [Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதைகளைப் பயன்படுத்த பரிந்துரைக்கிறோம்.
|
||||
* **உரையாடல் AI** மற்றும் **சாட் போட்கள்**. [உரையாடல் AI தீர்வுகளை உருவாக்க](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதை உள்ளது, மேலும் [இந்த வலைப்பதிவை](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) மேலும் விவரங்களுக்கு பார்க்கவும்.
|
||||
* **ஆழமான கற்றலின் கணிதம்**. இதற்காக, Ian Goodfellow, Yoshua Bengio மற்றும் Aaron Courville எழுதிய [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) புத்தகத்தை பரிந்துரைக்கிறோம், இது ஆன்லைனில் [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) கிடைக்கிறது.
|
||||
* **AI வணிக பயன்பாடுகள்** பற்றிய வணிக வழக்குகள். [வணிக பயனர்களுக்கான AI அறிமுகம்](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) அல்லது [AI வணிக பள்ளி](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) உடன் இணைந்து உருவாக்கப்பட்டது.
|
||||
* **மரபுவழி இயந்திர கற்றல்**, இது நமது [தொடக்க நிலை இயந்திர கற்றல் பாடத்திட்டத்தில்](http://github.com/Microsoft/ML-for-Beginners) நன்கு விளக்கப்பட்டுள்ளது.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** பயன்படுத்தி உருவாக்கப்பட்ட நடைமுறை AI பயன்பாடுகள். இதற்காக, Microsoft Learn இல் [காட்சி](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [இயற்கை மொழி செயலாக்கம்](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI சேவையுடன் உருவாக்கும் AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** போன்றவற்றைத் தொடங்க பரிந்துரைக்கிறோம்.
|
||||
* **மேக கட்டமைப்புகள்** போன்ற குறிப்பிட்ட ML, உதாரணமாக [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), அல்லது [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) மற்றும் [Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதைகளைப் பயன்படுத்த பரிந்துரைக்கிறோம்.
|
||||
* **உரையாடல் AI** மற்றும் **சாட் பாட்டுகள்**. [உரையாடல் AI தீர்வுகளை உருவாக்கவும்](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதை உள்ளது, மேலும் [இந்த வலைப்பதிவை](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) மேலும் விவரங்களுக்கு பார்க்கலாம்.
|
||||
* ஆழமான கற்றலின் **ஆழமான கணிதம்**. இதற்காக, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) என்ற புத்தகத்தை பரிந்துரைக்கிறோம், இது Ian Goodfellow, Yoshua Bengio மற்றும் Aaron Courville எழுதியது மற்றும் [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) இல் ஆன்லைனில் கிடைக்கிறது.
|
||||
|
||||
கிளவுட் AI தலைப்புகளுக்கான மென்மையான அறிமுகத்திற்காக, [Azure இல் செயற்கை நுண்ணறிவுடன் தொடங்க](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதையை எடுத்துக்கொள்ள பரிந்துரைக்கிறோம்.
|
||||
_மேகத்தில் AI_ தலைப்புகளுக்கான மென்மையான அறிமுகத்திற்காக, [Azure இல் செயற்கை நுண்ணறிவுடன் தொடங்குங்கள்](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதையை எடுத்துக்கொள்ள பரிந்துரைக்கிறோம்.
|
||||
|
||||
# உள்ளடக்கம்
|
||||
|
||||
| | பாடம் இணைப்பு | PyTorch/Keras/TensorFlow | ஆய்வகம் |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [பாடத்திட்ட அமைப்பு](./lessons/0-course-setup/setup.md) | [உங்கள் மேம்பாட்டு சூழலை அமைக்கவும்](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI அறிமுகம்**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI அறிமுகம் மற்றும் வரலாறு](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **சின்னவியல் AI** |
|
||||
| I | [**செயற்கை நுண்ணறிவின் அறிமுகம்**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [செயற்கை நுண்ணறிவின் வரலாறு மற்றும் அறிமுகம்](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **சின்னமான AI** |
|
||||
| 02 | [அறிவு பிரதிநிதித்துவம் மற்றும் நிபுணர் அமைப்புகள்](./lessons/2-Symbolic/README.md) | [நிபுணர் அமைப்புகள்](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
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| III | [**நியூரல் நெட்வொர்க்குகளின் அறிமுகம்**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [பெர்செப்ட்ரான்](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [லாப்](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [பல அடுக்குகள் கொண்ட பெர்செப்ட்ரான் மற்றும் நம்முடைய சொந்த ஃபிரேம்வொர்க் உருவாக்குதல்](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [லாப்](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ஃபிரேம்வொர்க் அறிமுகம் (PyTorch/TensorFlow) மற்றும் ஓவர்ஃபிட்டிங்](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லாப்](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| III | [**நரம்பியல் வலைப்பின்னல்களின் அறிமுகம்**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [பெர்செப்ட்ரான்](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [லேப்](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [பல அடுக்குகள் கொண்ட பெர்செப்ட்ரான் மற்றும் நம்முடைய சொந்த கட்டமைப்பை உருவாக்குதல்](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [லேப்](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [கட்டமைப்புகளுக்கான அறிமுகம் (PyTorch/TensorFlow) மற்றும் ஓவர்ஃபிட்டிங்](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லேப்](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**கம்ப்யூட்டர் பார்வை**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure-ல் கம்ப்யூட்டர் பார்வையை ஆராயுங்கள்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [கம்ப்யூட்டர் பார்வை அறிமுகம். OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [நோட்புக்](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [லாப்](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [கன்வல்யூஷனல் நியூரல் நெட்வொர்க்கள்](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN கட்டமைப்புகள்](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [லாப்](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [முன்னேற்பாடான நெட்வொர்க்கள் மற்றும் டிரான்ஸ்ஃபர் லெர்னிங்](./lessons/4-ComputerVision/08-TransferLearning/README.md) மற்றும் [பயிற்சி முறைகள்](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லாப்](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 06 | [கம்ப்யூட்டர் பார்வைக்கு அறிமுகம். OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [நோட்புக்](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [லேப்](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [கன்வல்யூஷனல் நரம்பியல் வலையமைப்புகள்](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN கட்டமைப்புகள்](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [லேப்](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [முன்னேற்பாடான வலையமைப்புகள் மற்றும் மாற்றம் கற்றல்](./lessons/4-ComputerVision/08-TransferLearning/README.md) மற்றும் [பயிற்சி தந்திரங்கள்](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லேப்](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [ஆட்டோஎன்கோடர்கள் மற்றும் VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [ஜெனரேட்டிவ் அட்வர்சேரியல் நெட்வொர்க்கள் & கலைமயமான ஸ்டைல் டிரான்ஸ்ஃபர்](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [ஒப்ஜெக்ட் டிடெக்ஷன்](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [லாப்](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [செமாண்டிக் செக்மென்டேஷன். U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| 10 | [ஜெனரேட்டிவ் எதிர்மறை வலையமைப்புகள் மற்றும் கலைமயமான பாணி மாற்றம்](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [பொருள் கண்டறிதல்](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [லேப்](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [அர்த்தமுள்ள பிரிவாக்கம். U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**இயற்கை மொழி செயலாக்கம்**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure-ல் இயற்கை மொழி செயலாக்கத்தை ஆராயுங்கள்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [உரையின் பிரதிநிதித்துவம். Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [செமாண்டிக் வார்த்தை எம்பெடிங்ஸ். Word2Vec மற்றும் GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [மொழி மாடலிங். உங்கள் சொந்த எம்பெடிங்ஸ் பயிற்சி](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [லாப்](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [மீள்நினைவூட்டும் நியூரல் நெட்வொர்க்கள்](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [ஜெனரேட்டிவ் மீள்நினைவூட்டும் நெட்வொர்க்கள்](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [லாப்](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 13 | [உரை பிரதிநிதித்துவம். Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [அர்த்தமுள்ள சொல் எம்பெட்டிங்ஸ். Word2Vec மற்றும் GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [மொழி மாதிரிகள். உங்களின் சொந்த எம்பெட்டிங்ஸை பயிற்சி செய்யுங்கள்](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [லேப்](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [மீள்படிவ நரம்பியல் வலையமைப்புகள்](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [ஜெனரேட்டிவ் மீள்படிவ வலையமைப்புகள்](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [லேப்](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [டிரான்ஸ்ஃபார்மர்கள். BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [பெயரிடப்பட்ட பொருள் அடையாளம்](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [லாப்](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [பெரிய மொழி மாடல்கள், ப்ராம்ப்ட் புரோகிராமிங் மற்றும் சில-ஷாட் பணிகள்](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **மற்ற AI தொழில்நுட்பங்கள்** || |
|
||||
| 21 | [ஜெனெடிக் ஆல்கொரிதங்கள்](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [நோட்புக்](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [ஆழமான பலவீனமான கற்றல்](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [லாப்](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [பல-முகவர் அமைப்புகள்](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 19 | [பெயரிடப்பட்ட பொருள் அடையாளம்](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [லேப்](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [பெரிய மொழி மாதிரிகள், ப்ராம்ப்ட் நிரலாக்கம் மற்றும் சில-ஷாட் பணிகள்](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **மற்ற AI நுட்பங்கள்** || |
|
||||
| 21 | [ஜெனடிக் ஆல்காரிதம்கள்](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [நோட்புக்](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [ஆழமான பலவினை கற்றல்](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [லேப்](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [பல முகவர் அமைப்புகள்](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI நெறிமுறைகள்** | | |
|
||||
| 24 | [AI நெறிமுறைகள் மற்றும் பொறுப்பான AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: பொறுப்பான AI கொள்கைகள்](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **கூடுதல் தகவல்கள்** | | |
|
||||
| 25 | [பலவகை நெட்வொர்க்கள், CLIP மற்றும் VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [நோட்புக்](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [பல-மாதிரி வலையமைப்புகள், CLIP மற்றும் VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [நோட்புக்](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## ஒவ்வொரு பாடமும் கொண்டுள்ளது
|
||||
## ஒவ்வொரு பாடத்திலும் உள்ளவை
|
||||
|
||||
* முன் படிக்கும் பொருள்
|
||||
* செயல்படுத்தக்கூடிய ஜூபிடர் நோட்புக்குகள், அவை பெரும்பாலும் **PyTorch** அல்லது **TensorFlow** ஃபிரேம்வொர்க்கிற்கு குறிப்பிட்டவை. செயல்படுத்தக்கூடிய நோட்புக்கில் நிறைய கோட்பாட்டு தகவல்களும் உள்ளன, எனவே தலைப்பை புரிந்துகொள்ள நீங்கள் குறைந்தது ஒரு பதிப்பை (PyTorch அல்லது TensorFlow) படிக்க வேண்டும்.
|
||||
* **லாப்கள்** சில தலைப்புகளுக்கு கிடைக்கின்றன, இது நீங்கள் கற்றுக்கொண்ட பொருளை ஒரு குறிப்பிட்ட பிரச்சனையில் பயன்படுத்த முயற்சிக்க வாய்ப்பை வழங்குகிறது.
|
||||
* முன் படிக்க வேண்டிய பொருட்கள்
|
||||
* செயல்படுத்தக்கூடிய Jupyter நோட்புக்குகள், அவை பெரும்பாலும் கட்டமைப்புக்கு (PyTorch அல்லது TensorFlow) குறிப்பிட்டவை. செயல்படுத்தக்கூடிய நோட்புக்கில் நிறைய கோட்பாட்டு தகவல்களும் உள்ளன, எனவே தலைப்பை புரிந்துகொள்ள நீங்கள் குறைந்தது ஒரு பதிப்பை (PyTorch அல்லது TensorFlow) படிக்க வேண்டும்.
|
||||
* **லேப்கள்** சில தலைப்புகளுக்கு கிடைக்கின்றன, அவை நீங்கள் கற்றுக்கொண்ட பொருட்களை ஒரு குறிப்பிட்ட பிரச்சினைக்கு பயன்படுத்த முயற்சிக்க வாய்ப்பு தருகின்றன.
|
||||
* சில பிரிவுகளில் தொடர்புடைய தலைப்புகளை உள்ளடக்கிய [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) மாட்யூல்களுக்கு இணைப்புகள் உள்ளன.
|
||||
|
||||
## தொடங்குதல்
|
||||
## தொடங்குவது எப்படி
|
||||
|
||||
### 🎯 AI-க்கு புதியவரா? இங்கிருந்து தொடங்குங்கள்!
|
||||
### 🎯 AI-க்கு புதியவரா? இங்கே தொடங்குங்கள்!
|
||||
|
||||
நீங்கள் AI-க்கு முற்றிலும் புதியவராக இருந்தால் மற்றும் விரைவான, கையால் செய்யக்கூடிய உதாரணங்களை விரும்பினால், எங்கள் [**தொடக்கநிலை உதாரணங்கள்**](./examples/README.md) பார்க்கவும்! இதில் அடங்கும்:
|
||||
நீங்கள் AI-க்கு முற்றிலும் புதியவராக இருந்தால் மற்றும் விரைவான, கைகூடான உதாரணங்களை விரும்பினால், எங்கள் [**தொடக்கநிலை உதாரணங்களை**](./examples/README.md) பாருங்கள்! இதில் அடங்கும்:
|
||||
|
||||
- 🌟 **ஹலோ AI உலகம்** - உங்கள் முதல் AI திட்டம் (முறையியல் அடையாளம்)
|
||||
- 🧠 **எளிய நியூரல் நெட்வொர்க்** - அடிப்படையில் இருந்து ஒரு நியூரல் நெட்வொர்க் உருவாக்குங்கள்
|
||||
- 🖼️ **பட வகைப்படுத்தி** - விரிவான கருத்துக்களுடன் படங்களை வகைப்படுத்துங்கள்
|
||||
- 💬 **உரையின் உணர்வு** - நேர்மறை/எதிர்மறை உரையை பகுப்பாய்வு செய்யவும்
|
||||
- 🌟 **Hello AI World** - உங்கள் முதல் AI நிரல் (மாதிரி அடையாளம்)
|
||||
- 🧠 **எளிய நரம்பியல் வலை** - அடிப்படையில் இருந்து ஒரு நரம்பியல் வலையமைப்பை உருவாக்குங்கள்
|
||||
- 🖼️ **பட வகைப்படுத்தி** - விரிவான குறிப்புகளுடன் படங்களை வகைப்படுத்துங்கள்
|
||||
- 💬 **உரை உணர்வு** - நேர்மறை/எதிர்மறை உரையை பகுப்பாய்வு செய்யவும்
|
||||
|
||||
இந்த உதாரணங்கள் முழு பாடத்திட்டத்தில் இறங்குவதற்கு முன் AI கருத்துகளை புரிந்துகொள்ள உதவுவதற்காக வடிவமைக்கப்பட்டுள்ளன.
|
||||
இந்த எடுத்துக்காட்டுகள் முழு பாடத்திட்டத்தில் இறங்குவதற்கு முன் AI கருத்துக்களை புரிந்துகொள்ள உங்களுக்கு உதவுவதற்காக வடிவமைக்கப்பட்டுள்ளன.
|
||||
|
||||
### 📚 முழு பாடத்திட்ட அமைப்பு
|
||||
|
||||
|
|
@ -132,83 +132,89 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
இந்த படிகளை பின்பற்றவும்:
|
||||
|
||||
களஞ்சியத்தை Fork செய்யவும்: இந்த பக்கத்தின் மேல் வலது மூலையில் உள்ள "Fork" பொத்தானை கிளிக் செய்யவும்.
|
||||
Repository-ஐ Fork செய்யவும்: இந்த பக்கத்தின் மேல் வலது மூலையில் உள்ள "Fork" பொத்தானை கிளிக் செய்யவும்.
|
||||
|
||||
களஞ்சியத்தை Clone செய்யவும்: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Repository-ஐ Clone செய்யவும்: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
இந்த களஞ்சியத்தை பின்னர் எளிதாக கண்டுபிடிக்க 🌟 (star) செய்ய மறக்காதீர்கள்.
|
||||
இந்த repo-ஐ பின்னர் எளிதாகக் கண்டுபிடிக்க 🌟 (நட்சத்திரம்) செய்ய மறக்காதீர்கள்.
|
||||
|
||||
## மற்ற கற்றலாளர்களை சந்திக்கவும்
|
||||
## பிற மாணவர்களை சந்திக்கவும்
|
||||
|
||||
இந்த பாடத்தை எடுத்துக்கொள்கின்ற மற்ற கற்றலாளர்களை சந்திக்கவும் மற்றும் தொடர்பு கொள்ளவும் [அதிகாரப்பூர்வ AI Discord சேவையகத்தில்](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) சேரவும்.
|
||||
இந்த பாடத்திட்டத்தை எடுத்துக்கொள்கிற பிற மாணவர்களை சந்திக்கவும், நெட்வொர்க் செய்யவும், ஆதரவைப் பெறவும் [அதிகாரப்பூர்வ AI Discord சர்வரை](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) சேரவும்.
|
||||
|
||||
உங்கள் தயாரிப்பு கருத்துகள் அல்லது கட்டமைப்பின் போது கேள்விகள் இருந்தால், [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) பார்வையிடவும்.
|
||||
உங்கள் தயாரிப்புக்கான கருத்துக்களோ அல்லது கேள்விகளோ இருந்தால், [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) பார்வையிடவும்.
|
||||
|
||||
## வினாடி வினா
|
||||
|
||||
> **வினாடி வினா குறித்த ஒரு குறிப்பை**: அனைத்து வினாடி வினாக்களும் etc\quiz-app உள்ள Quiz-app கோப்பகத்தில் உள்ளன, அல்லது [இணையத்தில் இங்கே](https://ff-quizzes.netlify.app/) இணைக்கப்பட்டுள்ளன. அவை பாடங்களில் இருந்து இணைக்கப்பட்டுள்ளன. Quiz-app உள்ளூர் அல்லது Azure-க்கு வெளியிட இயலும்; `quiz-app` கோப்பகத்தில் உள்ள வழிமுறைகளை பின்பற்றவும். அவை تدريجமாக உள்ளூர்மயமாக்கப்படுகின்றன.
|
||||
> **வினாடி வினா குறிப்பு**: அனைத்து வினாடி வினாக்களும் etc\quiz-app உள்ள Quiz-app கோப்பகத்தில் உள்ளன, அல்லது [இணையத்தில் இங்கே](https://ff-quizzes.netlify.app/) கிடைக்கின்றன. அவை பாடங்களில் இணைக்கப்பட்டுள்ளன. Quiz app-ஐ உள்ளூரில் இயக்கவோ அல்லது Azure-க்கு வெளியிடவோ முடியும்; `quiz-app` கோப்பகத்தில் உள்ள வழிமுறைகளைப் பின்பற்றவும். அவை படிப்படியாக உள்ளூர்மயமாக்கப்படுகின்றன.
|
||||
|
||||
## உதவி தேவை
|
||||
|
||||
உங்களிடம் பரிந்துரைகள் உள்ளனவா அல்லது எழுத்துப்பிழைகள் அல்லது குறியீட்டு பிழைகளை கண்டுபிடித்தீர்களா? ஒரு issue எழுப்பவும் அல்லது pull request உருவாக்கவும்.
|
||||
உங்களுக்கு பரிந்துரைகள் உள்ளதா அல்லது எழுத்துப்பிழைகள் அல்லது குறியீட்டு பிழைகளை கண்டுபிடித்தீர்களா? ஒரு issue-ஐ எழுப்பவும் அல்லது pull request ஒன்றை உருவாக்கவும்.
|
||||
|
||||
## சிறப்பு நன்றி
|
||||
|
||||
* **✍️ முதன்மை ஆசிரியர்:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 ஆசிரியர்:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote விளக்கப்படம்:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 Sketchnote ஓவியர்:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ வினாடி வினா உருவாக்குபவர்:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 முக்கிய பங்களிப்பாளர்கள்:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## மற்ற பாடத்திட்டங்கள்
|
||||
## பிற பாடத்திட்டங்கள்
|
||||
|
||||
எங்கள் குழு மற்ற பாடத்திட்டங்களையும் உருவாக்குகிறது! பாருங்கள்:
|
||||
எங்கள் குழு பிற பாடத்திட்டங்களையும் உருவாக்குகிறது! பாருங்கள்:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### உருவாக்கும் AI தொடர்
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### முக்கிய கற்றல்
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
### Copilot தொடர்
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## உதவி பெறுதல்
|
||||
|
||||
AI பயன்பாடுகளை உருவாக்குவதில் சிக்கலாக இருந்தால் அல்லது கேள்விகள் இருந்தால், MCP பற்றிய விவாதங்களில் மற்ற கற்றலாளர்கள் மற்றும் அனுபவமுள்ள டெவலப்பர்களுடன் சேரவும். இது ஒரு ஆதரவான சமூகமாகும், கேள்விகள் வரவேற்கப்படுகின்றன மற்றும் அறிவு சுதந்திரமாக பகிரப்படுகிறது.
|
||||
AI பயன்பாடுகளை உருவாக்குவதில் சிக்கல்களோ அல்லது கேள்விகளோ இருந்தால், MCP பற்றிய விவாதங்களில் பிற மாணவர்களையும் அனுபவமுள்ள டெவலப்பர்களையும் சந்திக்கவும். இது கேள்விகள் வரவேற்கப்படும் மற்றும் அறிவு இலவசமாக பகிரப்படும் ஆதரவு சமூகமாகும்.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
தயாரிப்பு கருத்துகள் அல்லது கட்டமைப்பின் போது பிழைகள் இருந்தால், பார்வையிடவும்:
|
||||
உங்கள் தயாரிப்புக்கான கருத்துக்களோ அல்லது பிழைகளோ இருந்தால், பார்வையிடவும்:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**குறிப்பு**:
|
||||
இந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை [Co-op Translator](https://github.com/Azure/co-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சிக்கிறோம், ஆனால் தானியங்கி மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனத்தில் கொள்ளவும். அதன் தாய்மொழியில் உள்ள மூல ஆவணம் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பு பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்த தவறான புரிதல்கள் அல்லது தவறான விளக்கங்களுக்கு நாங்கள் பொறுப்பல்ல.
|
||||
**அறிவிப்பு**:
|
||||
இந்த ஆவணம் [Co-op Translator](https://github.com/Azure/co-op-translator) என்ற AI மொழிபெயர்ப்பு சேவையை பயன்படுத்தி மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சிக்கிறோம், ஆனால் தானியங்கி மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனத்தில் கொள்ளவும். அதன் சொந்த மொழியில் உள்ள மூல ஆவணம் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பு பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்த தவறான புரிதல்களுக்கும் அல்லது தவறான விளக்கங்களுக்கும் நாங்கள் பொறுப்பல்ல.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:36:00+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:10:19+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "te"
|
||||
}
|
||||
|
|
@ -23,11 +23,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ ఫర్ బిగినర్స్ - ఒక కోర్సు
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _[@girlie_mac](https://twitter.com/girlie_mac) చేత రూపొందించిన స్కెచ్నోట్_ |
|
||||
| AI For Beginners - _[@girlie_mac](https://twitter.com/girlie_mac) చేత స్కెచ్నోట్_ |
|
||||
|
||||
**ఆర్టిఫిషియల్ ఇంటెలిజెన్స్** (AI) ప్రపంచాన్ని అన్వేషించండి మా 12-వారాల, 24-పాఠాల కోర్సుతో! ఇది ప్రాక్టికల్ పాఠాలు, క్విజ్లు, మరియు ల్యాబ్లను కలిగి ఉంటుంది. ఈ కోర్సు ప్రారంభ స్థాయి వారికి అనుకూలంగా ఉంటుంది మరియు TensorFlow, PyTorch వంటి టూల్స్తో పాటు AI నైతికతను కూడా కవర్ చేస్తుంది.
|
||||
**ఆర్టిఫిషియల్ ఇంటెలిజెన్స్** (AI) ప్రపంచాన్ని 12 వారాల, 24 పాఠాల కోర్సుతో అన్వేషించండి! ఇది ప్రాక్టికల్ పాఠాలు, క్విజ్లు, మరియు ల్యాబ్లను కలిగి ఉంటుంది. ఈ కోర్సు ప్రారంభ స్థాయి వారికి అనుకూలంగా ఉంటుంది మరియు TensorFlow, PyTorch వంటి టూల్స్తో పాటు AI నైతికతను కూడా కవర్ చేస్తుంది.
|
||||
|
||||
### 🌐 బహుభాషా మద్దతు
|
||||
|
||||
|
|
@ -37,34 +37,34 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**మరిన్ని అనువాద భాషల కోసం మద్దతు కావాలనుకుంటే, [ఇక్కడ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) చూడండి.**
|
||||
**మరిన్ని భాషల అనువాదాల కోసం మద్దతు కావాలనుకుంటే, [ఇక్కడ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) చూడండి.**
|
||||
|
||||
## కమ్యూనిటీతో చేరండి
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## మీరు నేర్చుకునే విషయాలు
|
||||
## మీరు నేర్చుకునేది ఏమిటి
|
||||
|
||||
**[కోర్సు మైండ్మ్యాప్](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ఈ కోర్సులో మీరు నేర్చుకునే అంశాలు:
|
||||
ఈ కోర్సులో మీరు నేర్చుకునేది:
|
||||
|
||||
* **ఆర్టిఫిషియల్ ఇంటెలిజెన్స్** పద్ధతులు, అందులో "గుడ్ ఓల్డ్" సింబాలిక్ పద్ధతి **నాలెడ్జ్ రిప్రజెంటేషన్** మరియు తర్కం ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))తో సహా.
|
||||
* ఆధునిక AI యొక్క ప్రాథమికమైన **న్యూరల్ నెట్వర్క్స్** మరియు **డీప్ లెర్నింగ్**. ఈ ముఖ్యమైన అంశాల వెనుక ఉన్న భావాలను [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org) వంటి ఫ్రేమ్వర్క్లలో కోడ్ ఉపయోగించి వివరించబడతాయి.
|
||||
* చిత్రాలు మరియు పాఠ్యంతో పని చేయడానికి **న్యూరల్ ఆర్కిటెక్చర్స్**. తాజా మోడళ్లను కవర్ చేస్తాము కానీ స్టేట్-ఆఫ్-ది-ఆర్ట్లో కొంచెం తక్కువగా ఉండవచ్చు.
|
||||
* **ఆర్టిఫిషియల్ ఇంటెలిజెన్స్** పద్ధతులు, అందులో "గుడ్ ఓల్డ్" సింబాలిక్ పద్ధతి **నాలెడ్జ్ రిప్రజెంటేషన్** మరియు రీజనింగ్ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* ఆధునిక AI యొక్క కేంద్రంగా ఉన్న **న్యూరల్ నెట్వర్క్స్** మరియు **డీప్ లెర్నింగ్**. ఈ ముఖ్యమైన అంశాల వెనుక ఉన్న భావాలను [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org) వంటి ఫ్రేమ్వర్క్లలో కోడ్ ఉపయోగించి వివరించబడతాయి.
|
||||
* చిత్రాలు మరియు టెక్స్ట్తో పని చేయడానికి **న్యూరల్ ఆర్కిటెక్చర్స్**. తాజా మోడళ్లను కవర్ చేస్తాము కానీ స్టేట్-ఆఫ్-ది-ఆర్ట్లో కొంచెం తక్కువగా ఉండవచ్చు.
|
||||
* **జెనెటిక్ అల్గారిథమ్స్** మరియు **మల్టీ-ఏజెంట్ సిస్టమ్స్** వంటి తక్కువ ప్రాచుర్యం పొందిన AI పద్ధతులు.
|
||||
|
||||
ఈ కోర్సులో కవర్ చేయని అంశాలు:
|
||||
ఈ కోర్సులో కవర్ చేయబడని అంశాలు:
|
||||
|
||||
> [ఈ కోర్సుకు సంబంధించిన అన్ని అదనపు వనరులను మా Microsoft Learn కలెక్షన్లో కనుగొనండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI బిజినెస్లో ఉపయోగించే వ్యాపార కేసులు**. [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)ను పరిశీలించండి.
|
||||
* **AI బిజినెస్లో ఉపయోగించే వ్యాపార కేసులు**. [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) కోర్సులను పరిశీలించండి.
|
||||
* **క్లాసిక్ మెషిన్ లెర్నింగ్**, ఇది మా [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)లో బాగా వివరించబడింది.
|
||||
* **[కాగ్నిటివ్ సర్వీసెస్](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ఉపయోగించి ప్రాక్టికల్ AI అప్లికేషన్లు. దీనికి, మీరు [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** మొదలైన వాటితో ప్రారంభించవచ్చు.
|
||||
* **క్లౌడ్ ఫ్రేమ్వర్క్లు**, ఉదా: [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), లేదా [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) మరియు [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)ను పరిశీలించండి.
|
||||
* **కాన్వర్సేషనల్ AI** మరియు **చాట్ బాట్స్**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)ను చూడండి లేదా [ఈ బ్లాగ్ పోస్ట్](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)ను చూడండి.
|
||||
* **డీప్ లెర్నింగ్ వెనుక గణిత శాస్త్రం**. దీని కోసం, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) పుస్తకాన్ని లేదా [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)ను చూడండి.
|
||||
* **క్లౌడ్ ఫ్రేమ్వర్క్లు**, ఉదా: [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), లేదా [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) మరియు [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) కోర్సులను పరిశీలించండి.
|
||||
* **కాన్వర్సేషనల్ AI** మరియు **చాట్ బాట్స్**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) కోర్సు లేదా [ఈ బ్లాగ్ పోస్ట్](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) చూడండి.
|
||||
* **డీప్ లెర్నింగ్ వెనుక గణిత శాస్త్రం**. దీని కోసం, [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) అనే పుస్తకాన్ని సిఫారసు చేస్తాము, ఇది [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)లో కూడా అందుబాటులో ఉంది.
|
||||
|
||||
క్లౌడ్లో _AI_కి సులభమైన పరిచయం కోసం, [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)ను పరిశీలించండి.
|
||||
క్లౌడ్లో _AI_కి సులభమైన పరిచయం కోసం, [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) కోర్సును పరిశీలించండి.
|
||||
|
||||
# కంటెంట్
|
||||
|
||||
|
|
@ -76,50 +76,50 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| II | **సింబాలిక్ AI** |
|
||||
| 02 | [నాలెడ్జ్ రిప్రజెంటేషన్ మరియు ఎక్స్పర్ట్ సిస్టమ్స్](./lessons/2-Symbolic/README.md) | [ఎక్స్పర్ట్ సిస్టమ్స్](./lessons/2-Symbolic/Animals.ipynb) / [ఆంటాలజీ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[కాన్సెప్ట్ గ్రాఫ్](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**న్యూరల్ నెట్వర్క్స్ పరిచయం**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [పర్సెప్ట్రాన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [మల్టీ-లేయర్డ్ పర్సెప్ట్రాన్ మరియు మన స్వంత ఫ్రేమ్వర్క్ సృష్టించడం](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ఫ్రేమ్వర్క్లకు పరిచయం (PyTorch/TensorFlow) మరియు ఓవర్ఫిట్టింగ్](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 03 | [పెర్సెప్ట్రాన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [బహుళ-పొరల పెర్సెప్ట్రాన్ మరియు మన స్వంత ఫ్రేమ్వర్క్ సృష్టించడం](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [ఫ్రేమ్వర్క్ల (PyTorch/TensorFlow) పరిచయం మరియు ఓవర్ఫిట్టింగ్](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**కంప్యూటర్ విజన్**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [మైక్రోసాఫ్ట్ ఆజూర్లో కంప్యూటర్ విజన్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [కంప్యూటర్ విజన్ పరిచయం. ఓపెన్సీవీ](./lessons/4-ComputerVision/06-IntroCV/README.md) | [నోట్బుక్](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [కన్వల్యూషనల్ న్యూరల్ నెట్వర్క్లు](./lessons/4-ComputerVision/07-ConvNets/README.md) & [సీఎన్ఎన్ ఆర్కిటెక్చర్లు](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 06 | [కంప్యూటర్ విజన్ పరిచయం. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [నోట్బుక్](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [కన్వల్యూషనల్ న్యూరల్ నెట్వర్క్లు](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ఆర్కిటెక్చర్లు](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [ప్రీ-ట్రెయిన్ చేసిన నెట్వర్క్లు మరియు ట్రాన్స్ఫర్ లెర్నింగ్](./lessons/4-ComputerVision/08-TransferLearning/README.md) మరియు [ట్రైనింగ్ ట్రిక్స్](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [ఆటోఎన్కోడర్లు మరియు వీఏఈలు](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 09 | [ఆటోఎన్కోడర్లు మరియు VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [జెనరేటివ్ అడ్వర్సీరియల్ నెట్వర్క్లు & ఆర్టిస్టిక్ స్టైల్ ట్రాన్స్ఫర్](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [ఆబ్జెక్ట్ డిటెక్షన్](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [సెమాంటిక్ సెగ్మెంటేషన్. యూ-నెట్](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| 12 | [సెమాంటిక్ సెగ్మెంటేషన్. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**నేచురల్ లాంగ్వేజ్ ప్రాసెసింగ్**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [మైక్రోసాఫ్ట్ ఆజూర్లో నేచురల్ లాంగ్వేజ్ ప్రాసెసింగ్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [టెక్స్ట్ రిప్రజెంటేషన్. బౌ/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [సెమాంటిక్ వర్డ్ ఎంబెడింగ్స్. వర్డ్2వెక్ మరియు గ్లోవ్](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [లాంగ్వేజ్ మోడలింగ్. మీ స్వంత ఎంబెడింగ్స్ ట్రైనింగ్ చేయడం](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ల్యాబ్](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 13 | [టెక్స్ట్ ప్రాతినిధ్యం. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [సెమాంటిక్ వర్డ్ ఎంబెడింగ్స్. Word2Vec మరియు GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [లాంగ్వేజ్ మోడలింగ్. మీ స్వంత ఎంబెడింగ్స్ను ట్రైన్ చేయడం](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ల్యాబ్](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [రీకరెంట్ న్యూరల్ నెట్వర్క్లు](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [జెనరేటివ్ రీకరెంట్ నెట్వర్క్లు](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ల్యాబ్](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [ట్రాన్స్ఫార్మర్స్. బర్ట్.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 18 | [ట్రాన్స్ఫార్మర్లు. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [నేమ్డ్ ఎంటిటీ రికగ్నిషన్](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ల్యాబ్](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [లార్జ్ లాంగ్వేజ్ మోడల్స్, ప్రాంప్ట్ ప్రోగ్రామింగ్ మరియు ఫ్యూ-షాట్ టాస్క్లు](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **ఇతర AI పద్ధతులు** || |
|
||||
| 21 | [జెనెటిక్ అల్గారిథమ్స్](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [నోట్బుక్](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [డీప్ రీఇన్ఫోర్స్మెంట్ లెర్నింగ్](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ల్యాబ్](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 21 | [జెనెటిక్ ఆల్గారిథమ్స్](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [నోట్బుక్](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [డీప్ రీన్ఫోర్స్మెంట్ లెర్నింగ్](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ల్యాబ్](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [మల్టీ-ఏజెంట్ సిస్టమ్స్](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI నైతికత** | | |
|
||||
| 24 | [AI నైతికత మరియు బాధ్యతాయుత AI](./lessons/7-Ethics/README.md) | [మైక్రోసాఫ్ట్ లెర్న్: బాధ్యతాయుత AI సూత్రాలు](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **అదనపు అంశాలు** | | |
|
||||
| 25 | [మల్టీ-మోడల్ నెట్వర్క్లు, CLIP మరియు VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [నోట్బుక్](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## ప్రతి పాఠంలో ఉంటాయి
|
||||
## ప్రతి పాఠం కలిగి ఉంటుంది
|
||||
|
||||
* ముందస్తు చదవాల్సిన మెటీరియల్
|
||||
* అమలు చేయగల Jupyter నోట్బుక్లు, ఇవి సాధారణంగా ఫ్రేమ్వర్క్కు ప్రత్యేకంగా ఉంటాయి (**PyTorch** లేదా **TensorFlow**). ఈ నోట్బుక్లు చాలా సారాంశాన్ని కలిగి ఉంటాయి, కాబట్టి మీరు ఈ అంశాన్ని అర్థం చేసుకోవాలంటే కనీసం ఒక వెర్షన్ నోట్బుక్ (PyTorch లేదా TensorFlow) చదవాలి.
|
||||
* కొన్ని అంశాలకు **ల్యాబ్లు** అందుబాటులో ఉంటాయి, ఇవి మీరు నేర్చుకున్న విషయాలను ఒక నిర్దిష్ట సమస్యకు అన్వయించుకునే అవకాశం ఇస్తాయి.
|
||||
* అమలు చేయగల Jupyter నోట్బుక్లు, ఇవి తరచుగా ఫ్రేమ్వర్క్కు ప్రత్యేకమైనవి (**PyTorch** లేదా **TensorFlow**). అమలు చేయగల నోట్బుక్లో చాలా సార్వత్రిక మెటీరియల్ కూడా ఉంటుంది, కాబట్టి అంశాన్ని అర్థం చేసుకోవడానికి మీరు కనీసం ఒక వెర్షన్ నోట్బుక్ (PyTorch లేదా TensorFlow) చూడాలి.
|
||||
* **ల్యాబ్లు** కొన్ని అంశాలకు అందుబాటులో ఉంటాయి, ఇవి మీరు నేర్చుకున్న మెటీరియల్ను నిర్దిష్ట సమస్యకు వర్తింపజేయడానికి అవకాశం ఇస్తాయి.
|
||||
* కొన్ని విభాగాలు సంబంధిత అంశాలను కవర్ చేసే [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) మాడ్యూల్లకు లింక్లను కలిగి ఉంటాయి.
|
||||
|
||||
## ప్రారంభించండి
|
||||
## ప్రారంభం
|
||||
|
||||
### 🎯 AIకి కొత్తవారా? ఇక్కడ ప్రారంభించండి!
|
||||
### 🎯 AI కొత్తగా నేర్చుకుంటున్నారా? ఇక్కడ ప్రారంభించండి!
|
||||
|
||||
మీరు AIకి పూర్తిగా కొత్తవారు మరియు వేగంగా, ప్రాక్టికల్ ఉదాహరణలు కావాలనుకుంటే, మా [**ప్రారంభం కోసం సులభమైన ఉదాహరణలు**](./examples/README.md) చూడండి! వీటిలో ఉన్నాయి:
|
||||
మీరు AIలో పూర్తిగా కొత్తవారు మరియు వేగవంతమైన, ప్రాక్టికల్ ఉదాహరణలను కోరుకుంటే, మా [**ప్రారంభం-స్నేహపూర్వక ఉదాహరణలు**](./examples/README.md) చూడండి! ఇవి కలిగి ఉంటాయి:
|
||||
|
||||
- 🌟 **హలో AI వరల్డ్** - మీ మొదటి AI ప్రోగ్రామ్ (ప్యాటర్న్ గుర్తింపు)
|
||||
- 🧠 **సింపుల్ న్యూరల్ నెట్వర్క్** - మొదటినుంచి ఒక న్యూరల్ నెట్వర్క్ నిర్మించండి
|
||||
- 🧠 **సింపుల్ న్యూరల్ నెట్వర్క్** - న్యూరల్ నెట్వర్క్ను మొదటి నుండి నిర్మించండి
|
||||
- 🖼️ **ఇమేజ్ క్లాసిఫైయర్** - వివరమైన వ్యాఖ్యలతో చిత్రాలను వర్గీకరించండి
|
||||
- 💬 **టెక్స్ట్ సెంటిమెంట్** - సానుకూల/ప్రతికూల టెక్స్ట్ను విశ్లేషించండి
|
||||
|
||||
|
|
@ -132,83 +132,89 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
ఈ దశలను అనుసరించండి:
|
||||
|
||||
రిపోజిటరీని ఫోర్క్ చేయండి: ఈ పేజీపై కుడి పైభాగంలో ఉన్న "Fork" బటన్పై క్లిక్ చేయండి.
|
||||
రిపోజిటరీని ఫోర్క్ చేయండి: ఈ పేజీపై కుడి పైభాగంలో ఉన్న "ఫోర్క్" బటన్పై క్లిక్ చేయండి.
|
||||
|
||||
రిపోజిటరీని క్లోన్ చేయండి: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
తరువాత సులభంగా కనుగొనడానికి ఈ రిపోకు స్టార్ (🌟) ఇవ్వడం మర్చిపోవద్దు.
|
||||
|
||||
## ఇతర అభ్యాసకులను కలవండి
|
||||
## ఇతర విద్యార్థులను కలవండి
|
||||
|
||||
ఈ కోర్సును తీసుకుంటున్న ఇతర అభ్యాసకులను కలవడానికి మరియు నెట్వర్క్ చేయడానికి మా [అధికారిక AI డిస్కార్డ్ సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)లో చేరండి మరియు మద్దతు పొందండి.
|
||||
ఈ కోర్సు తీసుకుంటున్న ఇతర విద్యార్థులను కలవడానికి మరియు నెట్వర్క్ చేయడానికి మా [అధికారిక AI డిస్కార్డ్ సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)లో చేరండి మరియు మద్దతు పొందండి.
|
||||
|
||||
మీరు ప్రొడక్ట్ ఫీడ్బ్యాక్ లేదా ప్రశ్నలు కలిగి ఉంటే, మా [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)ను సందర్శించండి.
|
||||
|
||||
## క్విజ్లు
|
||||
|
||||
> **క్విజ్ల గురించి ఒక గమనిక**: అన్ని క్విజ్లు etc\quiz-appలోని Quiz-app ఫోల్డర్లో ఉన్నాయి, లేదా [ఆన్లైన్ ఇక్కడ](https://ff-quizzes.netlify.app/). అవి పాఠాల నుండి లింక్ చేయబడ్డాయి. క్విజ్ యాప్ను స్థానికంగా నడపవచ్చు లేదా Azureలో డిప్లాయ్ చేయవచ్చు; `quiz-app` ఫోల్డర్లోని సూచనలను అనుసరించండి. అవి క్రమంగా స్థానికీకరించబడుతున్నాయి.
|
||||
> **క్విజ్ల గురించి ఒక గమనిక**: అన్ని క్విజ్లు etc\quiz-appలోని Quiz-app ఫోల్డర్లో ఉన్నాయి, లేదా [ఆన్లైన్ ఇక్కడ](https://ff-quizzes.netlify.app/). అవి పాఠాలలో లింక్ చేయబడ్డాయి. క్విజ్ యాప్ను లోకల్గా నడపవచ్చు లేదా Azureలో డిప్లాయ్ చేయవచ్చు; `quiz-app` ఫోల్డర్లోని సూచనలను అనుసరించండి. అవి క్రమంగా స్థానికీకరించబడుతున్నాయి.
|
||||
|
||||
## సహాయం కావాలి
|
||||
|
||||
మీకు సూచనలు ఉన్నాయా లేదా ఎక్కడైనా వ్రాతపొరపాటు లేదా కోడ్ పొరపాటు కనుగొన్నారా? ఒక ఇష్యూ రైజ్ చేయండి లేదా పుల్ రిక్వెస్ట్ సృష్టించండి.
|
||||
మీకు సూచనలు ఉన్నాయా లేదా ఎక్కడైనా స్పెల్లింగ్ లేదా కోడ్ లోపాలను కనుగొన్నారా? ఒక ఇష్యూ రైజ్ చేయండి లేదా పుల్ రిక్వెస్ట్ సృష్టించండి.
|
||||
|
||||
## ప్రత్యేక ధన్యవాదాలు
|
||||
## ప్రత్యేక కృతజ్ఞతలు
|
||||
|
||||
* **✍️ ప్రధాన రచయిత:** [డిమిట్రీ సోష్నికోవ్](http://soshnikov.com), పీహెచ్.డి
|
||||
* **🔥 ఎడిటర్:** [జెన్ లూపర్](https://twitter.com/jenlooper), పీహెచ్.డి
|
||||
* **✍️ ప్రధాన రచయిత:** [దిమిత్రి సోష్నికోవ్](http://soshnikov.com), పీహెచ్డీ
|
||||
* **🔥 ఎడిటర్:** [జెన్ లూపర్](https://twitter.com/jenlooper), పీహెచ్డీ
|
||||
* **🎨 స్కెచ్నోట్ ఇలస్ట్రేటర్:** [టొమోమి ఇమురా](https://twitter.com/girlie_mac)
|
||||
* **✅ క్విజ్ క్రియేటర్:** [లతీఫా బెల్లో](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 ప్రధాన సహకారులు:** [ఎవ్గెనీ పిష్చిక్](https://github.com/Pe4enIks)
|
||||
|
||||
## ఇతర పాఠ్యాంశాలు
|
||||
|
||||
మా బృందం ఇతర పాఠ్యాంశాలను కూడా ఉత్పత్తి చేస్తుంది! చూడండి:
|
||||
మా బృందం ఇతర పాఠ్యాంశాలను కూడా ఉత్పత్తి చేస్తుంది! వీటిని చూడండి:
|
||||
|
||||
### లాంగ్చైన్
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / ఏజెంట్లు
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### జనరేటివ్ AI సిరీస్
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### ప్రధాన అభ్యాసం
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### కోపైలట్ సిరీస్
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## సహాయం పొందడం
|
||||
|
||||
మీరు ఎక్కడైనా ఇరుక్కుపోయినా లేదా AI యాప్లను నిర్మించడంపై ప్రశ్నలు ఉంటే, ఇతర అభ్యాసకులు మరియు అనుభవజ్ఞులైన డెవలపర్లతో చర్చలలో చేరండి. ఇది ప్రశ్నలు స్వాగతించబడే మరియు జ్ఞానం ఉచితంగా పంచబడే సహాయక సమాజం.
|
||||
మీరు ఎక్కడైనా ఇరుక్కుపోతే లేదా AI యాప్లను నిర్మించడంపై ప్రశ్నలు ఉంటే, ఇతర విద్యార్థులు మరియు అనుభవజ్ఞులైన డెవలపర్లతో చర్చలలో చేరండి. ఇది మద్దతు గల కమ్యూనిటీ, ఇక్కడ ప్రశ్నలు స్వాగతించబడతాయి మరియు జ్ఞానం ఉచితంగా పంచబడుతుంది.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
మీకు ప్రొడక్ట్ ఫీడ్బ్యాక్ లేదా నిర్మాణంలో పొరపాట్లు ఉంటే, సందర్శించండి:
|
||||
మీకు ప్రొడక్ట్ ఫీడ్బ్యాక్ లేదా నిర్మాణంలో లోపాలు ఉంటే, సందర్శించండి:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**అస్వీకరణ**:
|
||||
ఈ పత్రం AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము ఖచ్చితత్వానికి ప్రయత్నిస్తున్నప్పటికీ, ఆటోమేటెడ్ అనువాదాలు తప్పులు లేదా అసమగ్రతలను కలిగి ఉండవచ్చు. దాని స్వస్థల భాషలో ఉన్న అసలు పత్రాన్ని అధికారం కలిగిన మూలంగా పరిగణించాలి. కీలకమైన సమాచారం కోసం, ప్రొఫెషనల్ మానవ అనువాదాన్ని సిఫారసు చేస్తాము. ఈ అనువాదం ఉపయోగం వల్ల కలిగే ఏవైనా అపార్థాలు లేదా తప్పుదారులు కోసం మేము బాధ్యత వహించము.
|
||||
**విమర్శ**:
|
||||
ఈ పత్రాన్ని AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించారు. మేము ఖచ్చితత్వానికి ప్రయత్నిస్తున్నప్పటికీ, ఆటోమేటెడ్ అనువాదాలలో తప్పులు లేదా అసమానతలు ఉండవచ్చు. దయచేసి, దాని స్వదేశీ భాషలోని అసలు పత్రాన్ని అధికారం కలిగిన మూలంగా పరిగణించండి. ముఖ్యమైన సమాచారం కోసం, ప్రొఫెషనల్ మానవ అనువాదాన్ని సిఫారసు చేస్తాము. ఈ అనువాదాన్ని ఉపయోగించడం వల్ల కలిగే ఏవైనా అపార్థాలు లేదా తప్పుదారులు కోసం మేము బాధ్యత వహించము.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,125 +1,125 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:47:05+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:28:50+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "th"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# ปัญญาประดิษฐ์สำหรับผู้เริ่มต้น - หลักสูตร
|
||||
# ปัญญาประดิษฐ์สำหรับผู้เริ่มต้น - หลักสูตร
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _ภาพสเก็ตช์โดย [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _ภาพสเก็ตช์โดย [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
สำรวจโลกของ **ปัญญาประดิษฐ์** (AI) ด้วยหลักสูตร 12 สัปดาห์ 24 บทเรียน! หลักสูตรนี้ประกอบด้วยบทเรียนเชิงปฏิบัติ แบบทดสอบ และห้องปฏิบัติการ หลักสูตรนี้เหมาะสำหรับผู้เริ่มต้นและครอบคลุมเครื่องมืออย่าง TensorFlow และ PyTorch รวมถึงจริยธรรมใน AI
|
||||
สำรวจโลกของ **ปัญญาประดิษฐ์** (AI) ด้วยหลักสูตร 12 สัปดาห์ 24 บทเรียน! หลักสูตรนี้ประกอบด้วยบทเรียนเชิงปฏิบัติ แบบทดสอบ และห้องปฏิบัติการ หลักสูตรนี้เหมาะสำหรับผู้เริ่มต้นและครอบคลุมเครื่องมืออย่าง TensorFlow และ PyTorch รวมถึงจริยธรรมใน AI
|
||||
|
||||
### 🌐 รองรับหลายภาษา
|
||||
### 🌐 รองรับหลายภาษา
|
||||
|
||||
#### รองรับผ่าน GitHub Action (อัตโนมัติและอัปเดตเสมอ)
|
||||
#### รองรับผ่าน GitHub Action (อัตโนมัติและอัปเดตเสมอ)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](./README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](./README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**หากคุณต้องการให้มีการสนับสนุนการแปลเพิ่มเติม สามารถดูภาษาที่รองรับได้ [ที่นี่](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**หากคุณต้องการให้มีการสนับสนุนภาษาเพิ่มเติม สามารถดูรายการภาษาที่รองรับได้ [ที่นี่](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## เข้าร่วมชุมชน
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## เข้าร่วมชุมชน
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## สิ่งที่คุณจะได้เรียนรู้
|
||||
## สิ่งที่คุณจะได้เรียนรู้
|
||||
|
||||
**[แผนผังความคิดของหลักสูตร](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[แผนผังความคิดของหลักสูตร](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ในหลักสูตรนี้ คุณจะได้เรียนรู้:
|
||||
ในหลักสูตรนี้ คุณจะได้เรียนรู้:
|
||||
|
||||
* วิธีการต่าง ๆ ในการสร้างปัญญาประดิษฐ์ รวมถึงวิธีการแบบดั้งเดิมที่ใช้ **การแทนความรู้** และการให้เหตุผล ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))
|
||||
* **โครงข่ายประสาทเทียม** และ **การเรียนรู้เชิงลึก** ซึ่งเป็นหัวใจสำคัญของ AI สมัยใหม่ เราจะอธิบายแนวคิดเบื้องหลังหัวข้อสำคัญเหล่านี้ด้วยโค้ดในสองเฟรมเวิร์กยอดนิยม - [TensorFlow](http://Tensorflow.org) และ [PyTorch](http://pytorch.org)
|
||||
* **สถาปัตยกรรมโครงข่ายประสาทเทียม** สำหรับการทำงานกับภาพและข้อความ เราจะครอบคลุมโมเดลล่าสุด แต่บางครั้งอาจไม่ครอบคลุมถึงเทคโนโลยีที่ล้ำสมัยที่สุด
|
||||
* วิธีการ AI ที่ไม่ค่อยได้รับความนิยม เช่น **อัลกอริทึมพันธุกรรม** และ **ระบบหลายตัวแทน**
|
||||
* วิธีการต่าง ๆ ในการสร้างปัญญาประดิษฐ์ รวมถึงวิธีการแบบดั้งเดิมที่ใช้ **การแทนความรู้** และการให้เหตุผล ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))
|
||||
* **โครงข่ายประสาทเทียม** และ **การเรียนรู้เชิงลึก** ซึ่งเป็นหัวใจสำคัญของ AI สมัยใหม่ เราจะอธิบายแนวคิดเบื้องหลังหัวข้อสำคัญเหล่านี้ด้วยโค้ดในสองเฟรมเวิร์กยอดนิยม - [TensorFlow](http://Tensorflow.org) และ [PyTorch](http://pytorch.org)
|
||||
* **สถาปัตยกรรมโครงข่ายประสาทเทียม** สำหรับการทำงานกับภาพและข้อความ เราจะครอบคลุมโมเดลล่าสุด แต่บางครั้งอาจไม่ครอบคลุมถึงเทคโนโลยีที่ล้ำสมัยที่สุด
|
||||
* วิธีการ AI ที่ไม่ค่อยได้รับความนิยม เช่น **อัลกอริทึมเชิงพันธุกรรม** และ **ระบบหลายตัวแทน**
|
||||
|
||||
สิ่งที่เราจะไม่ครอบคลุมในหลักสูตรนี้:
|
||||
สิ่งที่เราจะไม่ครอบคลุมในหลักสูตรนี้:
|
||||
|
||||
> [ค้นหาทรัพยากรเพิ่มเติมทั้งหมดสำหรับหลักสูตรนี้ใน Microsoft Learn collection ของเรา](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [ค้นหาทรัพยากรเพิ่มเติมสำหรับหลักสูตรนี้ใน Microsoft Learn collection ของเรา](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* กรณีศึกษาทางธุรกิจของการใช้ **AI ในธุรกิจ** ลองพิจารณาเรียนรู้เส้นทาง [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) บน Microsoft Learn หรือ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ซึ่งพัฒนาร่วมกับ [INSEAD](https://www.insead.edu/)
|
||||
* **การเรียนรู้ของเครื่องแบบดั้งเดิม** ซึ่งอธิบายไว้อย่างดีใน [หลักสูตร Machine Learning for Beginners](http://github.com/Microsoft/ML-for-Beginners)
|
||||
* การประยุกต์ใช้ AI เชิงปฏิบัติที่สร้างขึ้นโดยใช้ **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** สำหรับเรื่องนี้ เราแนะนำให้เริ่มต้นด้วยโมดูล Microsoft Learn สำหรับ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** และอื่น ๆ
|
||||
* เฟรมเวิร์ก **Cloud ML** เฉพาะ เช่น [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) หรือ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) ลองพิจารณาใช้ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) และ [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) เส้นทางการเรียนรู้
|
||||
* **AI เชิงสนทนา** และ **แชทบอท** มีเส้นทางการเรียนรู้แยกต่างหาก [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) และคุณยังสามารถดู [โพสต์บล็อกนี้](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) เพื่อดูรายละเอียดเพิ่มเติม
|
||||
* **คณิตศาสตร์เชิงลึก** ที่อยู่เบื้องหลังการเรียนรู้เชิงลึก สำหรับเรื่องนี้ เราขอแนะนำ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) โดย Ian Goodfellow, Yoshua Bengio และ Aaron Courville ซึ่งสามารถหาอ่านได้ทางออนไลน์ที่ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)
|
||||
* กรณีศึกษาทางธุรกิจของการใช้ **AI ในธุรกิจ** ลองพิจารณาเรียนรู้เส้นทาง [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) บน Microsoft Learn หรือ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ที่พัฒนาร่วมกับ [INSEAD](https://www.insead.edu/)
|
||||
* **การเรียนรู้ของเครื่องแบบดั้งเดิม** ซึ่งอธิบายไว้อย่างดีใน [หลักสูตร Machine Learning for Beginners](http://github.com/Microsoft/ML-for-Beginners)
|
||||
* การประยุกต์ใช้ AI เชิงปฏิบัติที่สร้างขึ้นโดยใช้ **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** สำหรับเรื่องนี้ เราแนะนำให้เริ่มต้นด้วยโมดูล Microsoft Learn สำหรับ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** และอื่น ๆ
|
||||
* เฟรมเวิร์ก **Cloud ML** เฉพาะ เช่น [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) หรือ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) ลองพิจารณาใช้ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) และ [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)
|
||||
* **AI เชิงสนทนา** และ **แชทบอท** มีเส้นทางการเรียนรู้แยกต่างหาก [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) และคุณยังสามารถดู [โพสต์บล็อกนี้](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) เพื่อดูรายละเอียดเพิ่มเติม
|
||||
* **คณิตศาสตร์เชิงลึก** ที่อยู่เบื้องหลังการเรียนรู้เชิงลึก สำหรับเรื่องนี้ เราขอแนะนำ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) โดย Ian Goodfellow, Yoshua Bengio และ Aaron Courville ซึ่งสามารถหาอ่านได้ทางออนไลน์ที่ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)
|
||||
|
||||
สำหรับการแนะนำเบื้องต้นเกี่ยวกับหัวข้อ _AI ในคลาวด์_ คุณอาจพิจารณาเรียนรู้เส้นทาง [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)
|
||||
สำหรับการแนะนำเบื้องต้นเกี่ยวกับหัวข้อ _AI ในคลาวด์_ คุณอาจพิจารณาเรียนรู้เส้นทาง [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
# เนื้อหา
|
||||
# เนื้อหา
|
||||
|
||||
| | ลิงก์บทเรียน | PyTorch/Keras/TensorFlow | ห้องปฏิบัติการ |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [การตั้งค่าหลักสูตร](./lessons/0-course-setup/setup.md) | [ตั้งค่าสภาพแวดล้อมการพัฒนา](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**แนะนำเกี่ยวกับ AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [แนะนำและประวัติของ AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI เชิงสัญลักษณ์** |
|
||||
| 02 | [การแทนความรู้และระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/README.md) | [ระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/Animals.ipynb) / [ออนโทโลยี](./lessons/2-Symbolic/FamilyOntology.ipynb) /[กราฟแนวคิด](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**แนะนำโครงข่ายประสาทเทียม**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [เพอร์เซปตรอน](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [สมุดบันทึก](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [แลป](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [เพอร์เซปตรอนหลายชั้นและการสร้างเฟรมเวิร์กของเราเอง](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [สมุดบันทึก](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [แลป](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [แนะนำเฟรมเวิร์ก (PyTorch/TensorFlow) และการโอเวอร์ฟิตติ้ง](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [แลป](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**คอมพิวเตอร์วิชั่น**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [สำรวจคอมพิวเตอร์วิชั่นบน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [แนะนำคอมพิวเตอร์วิชั่น. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [สมุดบันทึก](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [แลป](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [โครงข่ายประสาทเทียมแบบคอนโวลูชัน](./lessons/4-ComputerVision/07-ConvNets/README.md) & [สถาปัตยกรรม CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [แลป](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [เครือข่ายที่ผ่านการฝึกฝนล่วงหน้าและการเรียนรู้แบบถ่ายโอน](./lessons/4-ComputerVision/08-TransferLearning/README.md) และ [เคล็ดลับการฝึกฝน](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [แลป](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| | ลิงก์บทเรียน | PyTorch/Keras/TensorFlow | ห้องปฏิบัติการ |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [การตั้งค่าหลักสูตร](./lessons/0-course-setup/setup.md) | [ตั้งค่าสภาพแวดล้อมการพัฒนา](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**แนะนำเกี่ยวกับ AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [แนะนำและประวัติของ AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI เชิงสัญลักษณ์** |
|
||||
| 02 | [การแทนความรู้และระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/README.md) | [ระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/Animals.ipynb) / [ออนโทโลยี](./lessons/2-Symbolic/FamilyOntology.ipynb) /[กราฟแนวคิด](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
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| III | [**แนะนำโครงข่ายประสาทเทียม**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [เพอร์เซปตรอน (Perceptron)](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [สมุดบันทึก (Notebook)](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [แลป (Lab)](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [เพอร์เซปตรอนหลายชั้นและการสร้างเฟรมเวิร์กของเราเอง](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [สมุดบันทึก (Notebook)](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [แลป (Lab)](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [แนะนำเฟรมเวิร์ก (PyTorch/TensorFlow) และการโอเวอร์ฟิตติ้ง](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [แลป (Lab)](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
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||||
| IV | [**คอมพิวเตอร์วิทัศน์ (Computer Vision)**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [สำรวจคอมพิวเตอร์วิทัศน์บน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [แนะนำคอมพิวเตอร์วิทัศน์และ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [สมุดบันทึก (Notebook)](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [แลป (Lab)](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [โครงข่ายประสาทเทียมแบบคอนโวลูชัน (Convolutional Neural Networks)](./lessons/4-ComputerVision/07-ConvNets/README.md) & [สถาปัตยกรรม CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [แลป (Lab)](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [เครือข่ายที่ผ่านการฝึกฝนล่วงหน้าและการเรียนรู้แบบถ่ายโอน (Transfer Learning)](./lessons/4-ComputerVision/08-TransferLearning/README.md) และ [เคล็ดลับการฝึกฝน](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [แลป (Lab)](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [ออโต้เอนโค้ดเดอร์และ VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [เครือข่ายปฏิปักษ์เชิงกำเนิด & การถ่ายโอนสไตล์ศิลปะ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [การตรวจจับวัตถุ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [แลป](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [การแบ่งส่วนเชิงความหมาย. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**การประมวลผลภาษาธรรมชาติ**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [สำรวจการประมวลผลภาษาธรรมชาติบน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [การแทนข้อความ. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [การฝังคำเชิงความหมาย. Word2Vec และ GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [การสร้างแบบจำลองภาษา. การฝึกฝนการฝังคำของคุณเอง](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [แลป](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [โครงข่ายประสาทเทียมแบบวนซ้ำ](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [เครือข่ายประสาทเทียมแบบวนซ้ำเชิงกำเนิด](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [แลป](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [ทรานส์ฟอร์เมอร์. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [การจดจำเอนทิตีที่มีชื่อ](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [แลป](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 10 | [เครือข่ายปฏิปักษ์เชิงกำเนิด (GANs) และการถ่ายโอนสไตล์ศิลปะ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [การตรวจจับวัตถุ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [แลป (Lab)](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [การแบ่งส่วนเชิงความหมาย (Semantic Segmentation) และ U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**การประมวลผลภาษาธรรมชาติ (Natural Language Processing)**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [สำรวจการประมวลผลภาษาธรรมชาติบน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [การแทนข้อความ: Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [การฝังคำเชิงความหมาย: Word2Vec และ GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [การสร้างแบบจำลองภาษาและการฝึกฝนการฝังคำของคุณเอง](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [แลป (Lab)](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [โครงข่ายประสาทเทียมแบบวนซ้ำ (Recurrent Neural Networks)](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [เครือข่ายประสาทเทียมแบบวนซ้ำเชิงกำเนิด](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [แลป (Lab)](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [ทรานส์ฟอร์เมอร์ (Transformers) และ BERT](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [การจดจำเอนทิตีที่มีชื่อ (Named Entity Recognition)](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [แลป (Lab)](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [โมเดลภาษาขนาดใหญ่, การเขียนโปรแกรมด้วยพรอมต์ และงานแบบ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **เทคนิค AI อื่นๆ** || |
|
||||
| 21 | [อัลกอริทึมเชิงพันธุกรรม](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [สมุดบันทึก](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [การเรียนรู้เชิงลึกแบบเสริมแรง](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [แลป](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [ระบบหลายตัวแทน](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 21 | [อัลกอริทึมเชิงพันธุกรรม (Genetic Algorithms)](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [สมุดบันทึก (Notebook)](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [การเรียนรู้เชิงลึกแบบเสริมแรง (Deep Reinforcement Learning)](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [แลป (Lab)](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [ระบบหลายตัวแทน (Multi-Agent Systems)](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **จริยธรรม AI** | | |
|
||||
| 24 | [จริยธรรม AI และ AI ที่มีความรับผิดชอบ](./lessons/7-Ethics/README.md) | [Microsoft Learn: หลักการ AI ที่มีความรับผิดชอบ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **เพิ่มเติม** | | |
|
||||
| 25 | [เครือข่ายหลายรูปแบบ, CLIP และ VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [สมุดบันทึก](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [เครือข่ายหลายรูปแบบ, CLIP และ VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [สมุดบันทึก (Notebook)](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## แต่ละบทเรียนประกอบด้วย
|
||||
|
||||
* เนื้อหาอ่านล่วงหน้า
|
||||
* สมุดบันทึก Jupyter ที่สามารถรันได้ ซึ่งมักจะเฉพาะเจาะจงกับเฟรมเวิร์ก (**PyTorch** หรือ **TensorFlow**) สมุดบันทึกที่สามารถรันได้ยังมีเนื้อหาทฤษฎีมากมาย ดังนั้นเพื่อความเข้าใจในหัวข้อ คุณจำเป็นต้องศึกษาสมุดบันทึกอย่างน้อยหนึ่งเวอร์ชัน (ไม่ว่าจะเป็น PyTorch หรือ TensorFlow)
|
||||
* **แลป** ที่มีให้สำหรับบางหัวข้อ ซึ่งเปิดโอกาสให้คุณลองนำเนื้อหาที่คุณได้เรียนรู้ไปประยุกต์ใช้กับปัญหาเฉพาะ
|
||||
* สมุดบันทึก Jupyter ที่สามารถรันได้ ซึ่งมักจะเฉพาะเจาะจงกับเฟรมเวิร์ก (**PyTorch** หรือ **TensorFlow**) สมุดบันทึกที่สามารถรันได้ยังมีเนื้อหาทฤษฎีจำนวนมาก ดังนั้นเพื่อความเข้าใจในหัวข้อ คุณจำเป็นต้องศึกษาสมุดบันทึกอย่างน้อยหนึ่งเวอร์ชัน (ไม่ว่าจะเป็น PyTorch หรือ TensorFlow)
|
||||
* **แลป (Labs)** ที่มีให้สำหรับบางหัวข้อ ซึ่งเปิดโอกาสให้คุณลองนำสิ่งที่คุณได้เรียนรู้ไปประยุกต์ใช้กับปัญหาเฉพาะ
|
||||
* บางส่วนมีลิงก์ไปยังโมดูล [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ที่ครอบคลุมหัวข้อที่เกี่ยวข้อง
|
||||
|
||||
## เริ่มต้น
|
||||
## เริ่มต้นใช้งาน
|
||||
|
||||
### 🎯 ใหม่กับ AI? เริ่มต้นที่นี่!
|
||||
### 🎯 ใหม่กับ AI? เริ่มที่นี่!
|
||||
|
||||
หากคุณเป็นมือใหม่ในด้าน AI และต้องการตัวอย่างที่เข้าใจง่ายและลงมือทำได้ทันที ลองดู [**ตัวอย่างสำหรับผู้เริ่มต้น**](./examples/README.md)! ซึ่งรวมถึง:
|
||||
หากคุณเป็นมือใหม่ใน AI และต้องการตัวอย่างที่เข้าใจง่ายและลงมือทำได้ทันที ลองดู [**ตัวอย่างสำหรับผู้เริ่มต้น**](./examples/README.md)! ซึ่งรวมถึง:
|
||||
|
||||
- 🌟 **Hello AI World** - โปรแกรม AI แรกของคุณ (การจดจำรูปแบบ)
|
||||
- 🧠 **โครงข่ายประสาทเทียมง่ายๆ** - สร้างโครงข่ายประสาทเทียมจากศูนย์
|
||||
- 🧠 **โครงข่ายประสาทเทียมแบบง่าย** - สร้างโครงข่ายประสาทเทียมตั้งแต่เริ่มต้น
|
||||
- 🖼️ **ตัวจำแนกภาพ** - จำแนกภาพพร้อมคำอธิบายอย่างละเอียด
|
||||
- 💬 **วิเคราะห์ความรู้สึกของข้อความ** - วิเคราะห์ข้อความในเชิงบวก/ลบ
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
### 📚 การตั้งค่าหลักสูตรเต็ม
|
||||
|
||||
- เราได้สร้าง [บทเรียนการตั้งค่า](./lessons/0-course-setup/setup.md) เพื่อช่วยคุณในการตั้งค่าสภาพแวดล้อมการพัฒนา - สำหรับครูผู้สอน เราได้สร้าง [บทเรียนการตั้งค่าหลักสูตร](./lessons/0-course-setup/for-teachers.md) ให้คุณด้วย!
|
||||
- เราได้สร้าง [บทเรียนการตั้งค่า](./lessons/0-course-setup/setup.md) เพื่อช่วยคุณตั้งค่าสภาพแวดล้อมการพัฒนา - สำหรับครูผู้สอน เราได้สร้าง [บทเรียนการตั้งค่าสำหรับครู](./lessons/0-course-setup/for-teachers.md) ไว้ให้ด้วย!
|
||||
- วิธี [รันโค้ดใน VSCode หรือ Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
ทำตามขั้นตอนเหล่านี้:
|
||||
|
|
@ -140,13 +140,13 @@ Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
|||
|
||||
## พบปะกับผู้เรียนคนอื่น ๆ
|
||||
|
||||
เข้าร่วม [เซิร์ฟเวอร์ Discord AI อย่างเป็นทางการ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) เพื่อพบปะและสร้างเครือข่ายกับผู้เรียนคนอื่น ๆ ที่กำลังเรียนหลักสูตรนี้และรับการสนับสนุน
|
||||
เข้าร่วม [เซิร์ฟเวอร์ Discord AI อย่างเป็นทางการ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) เพื่อพบปะและสร้างเครือข่ายกับผู้เรียนคนอื่น ๆ ที่กำลังเรียนหลักสูตรนี้ และรับการสนับสนุน
|
||||
|
||||
หากคุณมีคำถามหรือข้อเสนอแนะเกี่ยวกับผลิตภัณฑ์ในขณะที่กำลังพัฒนา สามารถเยี่ยมชม [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## แบบทดสอบ
|
||||
|
||||
> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดอยู่ในโฟลเดอร์ Quiz-app ใน etc\quiz-app หรือ [ออนไลน์ที่นี่](https://ff-quizzes.netlify.app/) แบบทดสอบเหล่านี้ถูกลิงก์จากบทเรียน และแอปแบบทดสอบสามารถรันได้ในเครื่องหรือปรับใช้ใน Azure; ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` แบบทดสอบกำลังถูกแปลเป็นภาษาท้องถิ่นอย่างต่อเนื่อง
|
||||
> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดอยู่ในโฟลเดอร์ Quiz-app ใน etc\quiz-app หรือ [ออนไลน์ที่นี่](https://ff-quizzes.netlify.app/) แบบทดสอบเหล่านี้ถูกลิงก์จากบทเรียน และสามารถรันได้ในเครื่องหรือปรับใช้ใน Azure; ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` แบบทดสอบกำลังถูกแปลเป็นภาษาท้องถิ่นอย่างต่อเนื่อง
|
||||
|
||||
## ต้องการความช่วยเหลือ
|
||||
|
||||
|
|
@ -158,22 +158,28 @@ Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
|||
* **🔥 บรรณาธิการ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 นักวาดภาพประกอบ Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ ผู้สร้างแบบทดสอบ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 ผู้ร่วมให้ข้อมูลหลัก:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 ผู้ร่วมพัฒนาหลัก:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## หลักสูตรอื่น ๆ
|
||||
|
||||
ทีมของเราผลิตหลักสูตรอื่น ๆ ด้วย! ลองดู:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -181,28 +187,28 @@ Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
|||
---
|
||||
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## การขอความช่วยเหลือ
|
||||
|
||||
หากคุณติดขัดหรือมีคำถามเกี่ยวกับการสร้างแอป AI เข้าร่วมกับผู้เรียนคนอื่น ๆ และนักพัฒนาที่มีประสบการณ์ในการพูดคุยเกี่ยวกับ MCP นี่คือชุมชนที่สนับสนุนซึ่งยินดีต้อนรับคำถามและแบ่งปันความรู้กันอย่างอิสระ
|
||||
หากคุณติดขัดหรือมีคำถามเกี่ยวกับการสร้างแอป AI เข้าร่วมกับผู้เรียนคนอื่น ๆ และนักพัฒนาที่มีประสบการณ์ในชุมชน MCP ที่นี่เป็นชุมชนที่สนับสนุนซึ่งยินดีต้อนรับคำถามและแบ่งปันความรู้กันอย่างอิสระ
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
หากคุณมีข้อเสนอแนะเกี่ยวกับผลิตภัณฑ์หรือพบข้อผิดพลาดขณะสร้าง สามารถเยี่ยมชม:
|
||||
หากคุณมีข้อเสนอแนะเกี่ยวกับผลิตภัณฑ์หรือพบข้อผิดพลาดในขณะพัฒนา เยี่ยมชม:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**ข้อจำกัดความรับผิดชอบ**:
|
||||
เอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้ว่าเราจะพยายามให้การแปลมีความถูกต้อง แต่โปรดทราบว่าการแปลโดยอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาดั้งเดิมควรถือเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ ขอแนะนำให้ใช้บริการแปลภาษามืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลนี้
|
||||
เอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้ว่าเราจะพยายามให้การแปลมีความถูกต้อง แต่โปรดทราบว่าการแปลอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาต้นทางควรถือเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ แนะนำให้ใช้บริการแปลภาษามนุษย์ที่เป็นมืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดพลาดที่เกิดจากการใช้การแปลนี้
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:04:19+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:44:36+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tl"
|
||||
}
|
||||
|
|
@ -27,9 +27,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| AI Para sa mga Baguhan - _Sketchnote ni [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Tuklasin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-linggong, 24-araling kurikulum! Kasama dito ang mga praktikal na leksyon, pagsusulit, at mga laboratoryo. Ang kurikulum ay madaling maunawaan para sa mga baguhan at sumasaklaw sa mga tool tulad ng TensorFlow at PyTorch, pati na rin ang etika sa AI.
|
||||
Tuklasin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-linggong, 24-aralin na kurikulum! Kasama dito ang mga praktikal na aralin, pagsusulit, at mga laboratoryo. Ang kurikulum ay madaling maunawaan para sa mga baguhan at sumasaklaw sa mga tool tulad ng TensorFlow at PyTorch, pati na rin ang etika sa AI.
|
||||
|
||||
### 🌐 Suporta sa Iba't Ibang Wika
|
||||
### 🌐 Suporta sa Maraming Wika
|
||||
|
||||
#### Sinusuportahan sa pamamagitan ng GitHub Action (Awtomatiko at Laging Napapanahon)
|
||||
|
||||
|
|
@ -42,40 +42,40 @@ Tuklasin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-li
|
|||
## Sumali sa Komunidad
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Ano ang Matututuhan Mo
|
||||
## Ano ang Matututunan Mo
|
||||
|
||||
**[Mindmap ng Kurso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Sa kurikulum na ito, matututuhan mo:
|
||||
Sa kurikulum na ito, matututunan mo:
|
||||
|
||||
* Iba't ibang paraan sa Artipisyal na Intelihensiya, kabilang ang "lumang paraan" na simbolikong paraan gamit ang **Knowledge Representation** at pangangatwiran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neural Networks** at **Deep Learning**, na siyang sentro ng modernong AI. Ipapakita namin ang mga konsepto sa likod ng mga mahahalagang paksang ito gamit ang code sa dalawang pinakapopular na framework - [TensorFlow](http://Tensorflow.org) at [PyTorch](http://pytorch.org).
|
||||
* Iba't ibang mga pamamaraan sa Artipisyal na Intelihensiya, kabilang ang "lumang paraan" na simbolikong diskarte gamit ang **Knowledge Representation** at pangangatwiran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neural Networks** at **Deep Learning**, na siyang sentro ng modernong AI. Ipapakita namin ang mga konsepto sa likod ng mga mahahalagang paksa gamit ang code sa dalawang pinakasikat na framework - [TensorFlow](http://Tensorflow.org) at [PyTorch](http://pytorch.org).
|
||||
* **Neural Architectures** para sa pagproseso ng mga imahe at teksto. Tatalakayin namin ang mga kamakailang modelo ngunit maaaring kulang sa pinakabagong teknolohiya.
|
||||
* Hindi gaanong popular na mga paraan ng AI, tulad ng **Genetic Algorithms** at **Multi-Agent Systems**.
|
||||
* Mas hindi sikat na mga diskarte sa AI, tulad ng **Genetic Algorithms** at **Multi-Agent Systems**.
|
||||
|
||||
Ano ang hindi namin tatalakayin sa kurikulum na ito:
|
||||
|
||||
> [Hanapin ang lahat ng karagdagang mapagkukunan para sa kursong ito sa aming Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Mga kaso ng negosyo sa paggamit ng **AI sa Negosyo**. Isaalang-alang ang pagkuha ng [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path sa Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), na binuo kasama ang [INSEAD](https://www.insead.edu/).
|
||||
* **Classic Machine Learning**, na mahusay na ipinaliwanag sa aming [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktikal na aplikasyon ng AI gamit ang **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para dito, inirerekomenda naming magsimula sa mga module ng Microsoft Learn para sa [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** at iba pa.
|
||||
* Mga kaso sa negosyo ng paggamit ng **AI sa Negosyo**. Isaalang-alang ang pagkuha ng [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path sa Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), na binuo sa pakikipagtulungan sa [INSEAD](https://www.insead.edu/).
|
||||
* **Classic Machine Learning**, na mahusay na nailarawan sa aming [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktikal na aplikasyon ng AI na binuo gamit ang **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para dito, inirerekumenda namin na magsimula sa mga module ng Microsoft Learn para sa [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** at iba pa.
|
||||
* Mga partikular na ML **Cloud Frameworks**, tulad ng [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Isaalang-alang ang paggamit ng [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) at [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.
|
||||
* **Conversational AI** at **Chat Bots**. May hiwalay na [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, at maaari ka ring sumangguni sa [blog post na ito](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para sa higit pang detalye.
|
||||
* **Malalim na Matematika** sa likod ng deep learning. Para dito, inirerekomenda namin ang [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) nina Ian Goodfellow, Yoshua Bengio at Aaron Courville, na makukuha rin online sa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **Malalim na Matematika** sa likod ng deep learning. Para dito, inirerekumenda namin ang [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ni Ian Goodfellow, Yoshua Bengio at Aaron Courville, na makukuha rin online sa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Para sa isang magaan na pagpapakilala sa mga paksang _AI sa Cloud_, maaari mong isaalang-alang ang pagkuha ng [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
Para sa banayad na pagpapakilala sa mga paksa ng _AI sa Cloud_, maaari mong isaalang-alang ang pagkuha ng [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.
|
||||
|
||||
# Nilalaman
|
||||
|
||||
| | Link ng Aralin | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Pag-setup ng Kurso](./lessons/0-course-setup/setup.md) | [I-setup ang Iyong Development Environment](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Panimula sa AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Panimula at Kasaysayan ng AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| 0 | [Setup ng Kurso](./lessons/0-course-setup/setup.md) | [I-setup ang Iyong Development Environment](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introduksyon sa AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introduksyon at Kasaysayan ng AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolikong AI** |
|
||||
| 02 | [Knowledge Representation at Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Panimula sa Neural Networks**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| III | [**Introduksyon sa Neural Networks**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron at Paglikha ng Sariling Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Intro sa Frameworks (PyTorch/TensorFlow) at Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
|
|
@ -108,26 +108,26 @@ Para sa isang magaan na pagpapakilala sa mga paksang _AI sa Cloud_, maaari mong
|
|||
## Bawat Aralin ay Naglalaman ng
|
||||
|
||||
* Mga materyal na babasahin bago magsimula
|
||||
* Mga executable na Jupyter Notebooks, na madalas na partikular sa framework (**PyTorch** o **TensorFlow**). Ang executable notebook ay naglalaman din ng maraming teoretikal na materyal, kaya upang maunawaan ang paksa, kailangan mong dumaan sa kahit isang bersyon ng notebook (PyTorch o TensorFlow).
|
||||
* **Labs** na magagamit para sa ilang mga paksa, na nagbibigay sa iyo ng pagkakataon na subukan ang paglalapat ng mga natutunan sa isang partikular na problema.
|
||||
* Mga executable na Jupyter Notebooks, na kadalasang partikular sa framework (**PyTorch** o **TensorFlow**). Ang executable notebook ay naglalaman din ng maraming teoretikal na materyal, kaya upang maunawaan ang paksa, kailangan mong dumaan sa kahit isang bersyon ng notebook (PyTorch o TensorFlow).
|
||||
* **Labs** na magagamit para sa ilang mga paksa, na nagbibigay ng pagkakataon na subukan ang paglalapat ng mga natutunan sa isang partikular na problema.
|
||||
* Ang ilang mga seksyon ay naglalaman ng mga link sa [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules na sumasaklaw sa mga kaugnay na paksa.
|
||||
|
||||
## Pagsisimula
|
||||
|
||||
### 🎯 Bago sa AI? Dito Magsimula!
|
||||
### 🎯 Bago sa AI? Simulan Dito!
|
||||
|
||||
Kung ikaw ay ganap na bago sa AI at nais ng mabilis, hands-on na mga halimbawa, tingnan ang aming [**Mga Halimbawa para sa Baguhan**](./examples/README.md)! Kasama dito ang:
|
||||
|
||||
- 🌟 **Hello AI World** - Ang iyong unang AI program (pattern recognition)
|
||||
- 🧠 **Simple Neural Network** - Gumawa ng neural network mula sa simula
|
||||
- 🖼️ **Image Classifier** - Mag-classify ng mga imahe na may detalyadong mga komento
|
||||
- 💬 **Text Sentiment** - Suriin ang positibo/negatibong teksto
|
||||
- 💬 **Sentimyento ng Teksto** - Suriin ang positibo/negatibong teksto
|
||||
|
||||
Ang mga halimbawang ito ay idinisenyo upang matulungan kang maunawaan ang mga konsepto ng AI bago sumabak sa buong kurikulum.
|
||||
|
||||
### 📚 Pagsasaayos ng Buong Kurikulum
|
||||
|
||||
- Gumawa kami ng [aralin sa pagsasaayos](./lessons/0-course-setup/setup.md) upang matulungan ka sa pag-set up ng iyong development environment. - Para sa mga guro, gumawa rin kami ng [aralin sa pagsasaayos ng kurikulum](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Nilikha namin ang isang [aralin sa pagsasaayos](./lessons/0-course-setup/setup.md) upang matulungan kang i-set up ang iyong development environment. - Para sa mga Guro, mayroon din kaming [aralin sa pagsasaayos ng kurikulum](./lessons/0-course-setup/for-teachers.md) para sa inyo!
|
||||
- Paano [Patakbuhin ang code sa VSCode o Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Sundin ang mga hakbang na ito:
|
||||
|
|
@ -136,21 +136,21 @@ I-fork ang Repository: I-click ang "Fork" na button sa kanang-itaas na bahagi ng
|
|||
|
||||
I-clone ang Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Huwag kalimutang i-star (🌟) ang repo na ito para mas madali mo itong mahanap sa hinaharap.
|
||||
Huwag kalimutang i-star (🌟) ang repo na ito upang mas madali mo itong mahanap sa susunod.
|
||||
|
||||
## Makipagkilala sa Iba Pang Mga Nag-aaral
|
||||
## Makipagkilala sa Iba Pang Mga Mag-aaral
|
||||
|
||||
Sumali sa aming [opisyal na AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) upang makipag-network sa iba pang mga nag-aaral na kumukuha ng kursong ito at makakuha ng suporta.
|
||||
Sumali sa aming [opisyal na AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) upang makipagkilala at makipag-network sa iba pang mga mag-aaral na kumukuha ng kursong ito at makakuha ng suporta.
|
||||
|
||||
Kung mayroon kang feedback sa produkto o mga tanong habang gumagawa, bisitahin ang aming [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Mga Quiz
|
||||
|
||||
> **Isang paalala tungkol sa mga quiz**: Ang lahat ng quiz ay matatagpuan sa Quiz-app folder sa etc\quiz-app, o [Online Dito](https://ff-quizzes.netlify.app/) Ang mga ito ay naka-link mula sa loob ng mga aralin. Ang quiz app ay maaaring patakbuhin nang lokal o i-deploy sa Azure; sundin ang mga tagubilin sa `quiz-app` folder. Ang mga ito ay unti-unting nilolokal.
|
||||
> **Isang paalala tungkol sa mga quiz**: Ang lahat ng mga quiz ay matatagpuan sa Quiz-app folder sa etc\quiz-app, o [Online Dito](https://ff-quizzes.netlify.app/) Ang mga ito ay naka-link mula sa loob ng mga aralin. Ang quiz app ay maaaring patakbuhin nang lokal o i-deploy sa Azure; sundin ang mga tagubilin sa `quiz-app` folder. Unti-unti itong nilolokal.
|
||||
|
||||
## Tulong na Kailangan
|
||||
## Kailangan ng Tulong
|
||||
|
||||
May mga mungkahi o nakakita ng mga maling spelling o code? Mag-raise ng issue o gumawa ng pull request.
|
||||
Mayroon ka bang mga mungkahi o nakakita ng mga pagkakamali sa spelling o code? Mag-raise ng isyu o gumawa ng pull request.
|
||||
|
||||
## Espesyal na Pasasalamat
|
||||
|
||||
|
|
@ -158,47 +158,53 @@ May mga mungkahi o nakakita ng mga maling spelling o code? Mag-raise ng issue o
|
|||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote Illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Tagalikha ng Quiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Pangunahing Mga Kontribyutor:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Pangunahing Kontribyutor:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Iba Pang Kurikulum
|
||||
|
||||
Ang aming team ay gumagawa ng iba pang kurikulum! Tingnan:
|
||||
Ang aming koponan ay gumagawa rin ng iba pang mga kurikulum! Tingnan:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Pangunahing Pag-aaral
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Pagkuha ng Tulong
|
||||
|
||||
Kung ikaw ay nahihirapan o may mga tanong tungkol sa paggawa ng AI apps. Sumali sa mga kapwa nag-aaral at mga bihasang developer sa mga talakayan tungkol sa MCP. Ito ay isang suportadong komunidad kung saan ang mga tanong ay malugod na tinatanggap at ang kaalaman ay malayang ibinabahagi.
|
||||
Kung ikaw ay nahihirapan o may mga tanong tungkol sa paggawa ng AI apps. Sumali sa mga kapwa mag-aaral at mga bihasang developer sa mga talakayan tungkol sa MCP. Ito ay isang suportadong komunidad kung saan ang mga tanong ay malugod na tinatanggap at ang kaalaman ay malayang ibinabahagi.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Kung mayroon kang feedback sa produkto o mga error habang gumagawa, bisitahin:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Paunawa**:
|
||||
Ang dokumentong ito ay isinalin gamit ang AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Bagamat sinisikap naming maging tumpak, mangyaring tandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa kanyang katutubong wika ang dapat ituring na opisyal na pinagmulan. Para sa mahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na dulot ng paggamit ng pagsasaling ito.
|
||||
Ang dokumentong ito ay isinalin gamit ang AI translation service na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagamat sinisikap naming maging tumpak, pakitandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na opisyal na sanggunian. Para sa mahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na dulot ng paggamit ng pagsasaling ito.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,98 +1,98 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:43:11+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:25:25+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tr"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Yeni Başlayanlar için Yapay Zeka - Bir Müfredat
|
||||
# Yeni Başlayanlar için Yapay Zeka - Bir Müfredat
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| Yeni Başlayanlar için Yapay Zeka - _[@girlie_mac](https://twitter.com/girlie_mac) tarafından yapılmış Sketchnote_ |
|
||||
||
|
||||
|:---:|
|
||||
| Yeni Başlayanlar için Yapay Zeka - _[@girlie_mac](https://twitter.com/girlie_mac) tarafından yapılmış Sketchnote_ |
|
||||
|
||||
**Yapay Zeka** (AI) dünyasını 12 haftalık, 24 derslik müfredatımızla keşfedin! Pratik dersler, testler ve laboratuvar çalışmaları içerir. Müfredat, yeni başlayanlar için uygundur ve TensorFlow, PyTorch gibi araçların yanı sıra yapay zekada etik konularını da kapsar.
|
||||
**Yapay Zeka** (AI) dünyasını 12 haftalık, 24 derslik müfredatımızla keşfedin! Pratik dersler, testler ve laboratuvar çalışmaları içerir. Müfredat, yeni başlayanlar için uygundur ve TensorFlow, PyTorch gibi araçların yanı sıra yapay zekada etik konularını da kapsar.
|
||||
|
||||
### 🌐 Çok Dilli Destek
|
||||
### 🌐 Çok Dilli Destek
|
||||
|
||||
#### GitHub Action ile Desteklenir (Otomatik ve Her Zaman Güncel)
|
||||
#### GitHub Action ile Desteklenir (Otomatik ve Her Zaman Güncel)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arapça](../ar/README.md) | [Bengalce](../bn/README.md) | [Bulgarca](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Çince (Basitleştirilmiş)](../zh/README.md) | [Çince (Geleneksel, Hong Kong)](../hk/README.md) | [Çince (Geleneksel, Makao)](../mo/README.md) | [Çince (Geleneksel, Tayvan)](../tw/README.md) | [Hırvatça](../hr/README.md) | [Çekçe](../cs/README.md) | [Danca](../da/README.md) | [Flemenkçe](../nl/README.md) | [Estonca](../et/README.md) | [Fince](../fi/README.md) | [Fransızca](../fr/README.md) | [Almanca](../de/README.md) | [Yunanca](../el/README.md) | [İbranice](../he/README.md) | [Hintçe](../hi/README.md) | [Macarca](../hu/README.md) | [Endonezce](../id/README.md) | [İtalyanca](../it/README.md) | [Japonca](../ja/README.md) | [Kannada](../kn/README.md) | [Korece](../ko/README.md) | [Litvanca](../lt/README.md) | [Malayca](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalce](../ne/README.md) | [Nijerya Pidgin](../pcm/README.md) | [Norveççe](../no/README.md) | [Farsça](../fa/README.md) | [Lehçe](../pl/README.md) | [Portekizce (Brezilya)](../br/README.md) | [Portekizce (Portekiz)](../pt/README.md) | [Pencapça (Gurmukhi)](../pa/README.md) | [Romence](../ro/README.md) | [Rusça](../ru/README.md) | [Sırpça (Kiril)](../sr/README.md) | [Slovakça](../sk/README.md) | [Slovence](../sl/README.md) | [İspanyolca](../es/README.md) | [Svahili](../sw/README.md) | [İsveççe](../sv/README.md) | [Tagalog (Filipince)](../tl/README.md) | [Tamilce](../ta/README.md) | [Telugu](../te/README.md) | [Tayca](../th/README.md) | [Türkçe](./README.md) | [Ukraynaca](../uk/README.md) | [Urduca](../ur/README.md) | [Vietnamca](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](./README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ek çeviri dillerinin desteklenmesini istiyorsanız, desteklenen diller [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir.**
|
||||
**Ek dil desteği istiyorsanız, desteklenen diller [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir.**
|
||||
|
||||
## Topluluğa Katılın
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Topluluğa Katılın
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Neler Öğreneceksiniz
|
||||
## Neler Öğreneceksiniz
|
||||
|
||||
**[Kursun Zihin Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Kursun Zihin Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Bu müfredatta şunları öğreneceksiniz:
|
||||
Bu müfredatta şunları öğreneceksiniz:
|
||||
|
||||
* **Bilgi Temsili** ve akıl yürütme gibi "eski usul" sembolik yaklaşımlar da dahil olmak üzere Yapay Zeka'ya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern yapay zekanın temelini oluşturan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, en popüler iki çerçeve olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod kullanarak açıklayacağız.
|
||||
* Görüntüler ve metinlerle çalışmak için **Sinir Mimarileri**. Güncel modelleri ele alacağız ancak en son teknolojilerde biraz eksik kalabiliriz.
|
||||
* **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri** gibi daha az popüler yapay zeka yaklaşımları.
|
||||
* **Bilgi Temsili** ve akıl yürütme gibi "eski usul" sembolik yaklaşımlar da dahil olmak üzere Yapay Zeka'ya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern yapay zekanın temelini oluşturan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, en popüler iki çerçeve olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod kullanarak açıklayacağız.
|
||||
* Görüntüler ve metinlerle çalışmak için **Sinir Mimarileri**. Güncel modelleri ele alacağız ancak en son teknolojilerde biraz eksik kalabiliriz.
|
||||
* **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri** gibi daha az popüler yapay zeka yaklaşımları.
|
||||
|
||||
Bu müfredatta ele almayacağımız konular:
|
||||
Bu müfredatta ele almayacağımız konular:
|
||||
|
||||
> [Bu kurs için tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulabilirsiniz](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Bu kurs için tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulabilirsiniz](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **İş Dünyasında Yapay Zeka** kullanımına dair iş vakaları. Microsoft Learn'de [İş kullanıcıları için yapay zekaya giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)'u, [INSEAD](https://www.insead.edu/) ile iş birliği içinde geliştirilmiş olanı inceleyin.
|
||||
* **Klasik Makine Öğrenimi**, bu konu [Yeni Başlayanlar için Makine Öğrenimi Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi bir şekilde açıklanmıştır.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak oluşturulmuş pratik yapay zeka uygulamaları. Bunun için, Microsoft Learn'deki [görüş](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Servisi ile Üretken Yapay Zeka](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ve diğer modüllerle başlamanızı öneririz.
|
||||
* [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) gibi belirli ML **Bulut Çerçeveleri**. [Azure Machine Learning ile makine öğrenimi çözümleri oluşturun ve yönetin](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile Makine Öğrenimi Çözümleri Oluşturun ve Yönetin](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını kullanmayı düşünün.
|
||||
* **Konuşma Yapay Zekası** ve **Sohbet Botları**. Bunun için ayrı bir [Konuşma yapay zeka çözümleri oluşturun](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu vardır ve daha fazla ayrıntı için [bu blog yazısına](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) başvurabilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılmış [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz, bu kitap ayrıca çevrimiçi olarak [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) adresinde mevcuttur.
|
||||
* **İş Dünyasında Yapay Zeka** kullanımına dair iş vakaları. Microsoft Learn'de [İş kullanıcıları için yapay zekaya giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)'u inceleyebilirsiniz.
|
||||
* **Klasik Makine Öğrenimi**, bu konu [Yeni Başlayanlar için Makine Öğrenimi Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi bir şekilde açıklanmıştır.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak oluşturulan pratik yapay zeka uygulamaları. Bunun için Microsoft Learn'deki [görüş](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Servisi ile Üretken Yapay Zeka](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ve diğer modüllerle başlamanızı öneririz.
|
||||
* [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) gibi belirli ML **Bulut Çerçeveleri**. [Azure Machine Learning ile makine öğrenimi çözümleri oluşturun ve yönetin](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile makine öğrenimi çözümleri oluşturun ve yönetin](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını kullanmayı düşünebilirsiniz.
|
||||
* **Konuşma Yapay Zekası** ve **Sohbet Botları**. Bunun için ayrı bir [Konuşma yapay zeka çözümleri oluşturun](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu vardır ve daha fazla ayrıntı için [bu blog yazısına](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) başvurabilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılmış [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz, bu kitap ayrıca çevrimiçi olarak [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) adresinde mevcuttur.
|
||||
|
||||
Bulut konularında _Yapay Zeka_'ya nazik bir giriş yapmak için [Azure'da yapay zeka ile tanışın](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu inceleyebilirsiniz.
|
||||
Bulut konularında _Yapay Zeka_'ya nazik bir giriş yapmak için [Azure'da yapay zeka ile tanışın](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu inceleyebilirsiniz.
|
||||
|
||||
# İçerik
|
||||
# İçerik
|
||||
|
||||
| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurs Kurulumu](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Yapay Zekaya Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Yapay Zekanın Tanımı ve Tarihi](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik Yapay Zeka** |
|
||||
| 02 | [Bilgi Temsili ve Uzman Sistemler](./lessons/2-Symbolic/README.md) | [Uzman Sistemler](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloji](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kavram Grafiği](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Sinir Ağlarına Giriş**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurs Kurulumu](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Yapay Zekaya Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Yapay Zekanın Tanımı ve Tarihi](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik Yapay Zeka** |
|
||||
| 02 | [Bilgi Temsili ve Uzman Sistemler](./lessons/2-Symbolic/README.md) | [Uzman Sistemler](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloji](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kavram Grafiği](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Sinir Ağlarına Giriş**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturmak](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Aşırı Uyum](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Bilgisayarla Görü**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayarla Görü Keşfet](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bilgisayarla Görüye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolüsyonel Sinir Ağları](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Mimarileri](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenme](./lessons/4-ComputerVision/08-TransferLearning/README.md) ve [Eğitim İpuçları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Otoenkoderler ve VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Üretici Çekişmeli Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Üretken Çekişmeli Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Nesne Tespiti](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantik Bölütleme. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Doğal Dil İşleme**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure'da Doğal Dil İşlemeyi Keşfet](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Metin Temsili. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantik Kelime Gömmeleri. Word2Vec ve GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Dil Modelleme. Kendi Gömmelerinizi Eğitme](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Semantik Kelime Gömüleri. Word2Vec ve GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Dil Modelleme. Kendi Gömülerinizi Eğitmek](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Tekrarlayan Sinir Ağları](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Üretici Tekrarlayan Ağlar](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Üretken Tekrarlayan Ağlar](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Dönüştürücüler. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Büyük Dil Modelleri, İpucu Programlama ve Az Örnekli Görevler](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
|
|
@ -108,7 +108,7 @@ Bulut konularında _Yapay Zeka_'ya nazik bir giriş yapmak için [Azure'da yapay
|
|||
## Her ders şunları içerir
|
||||
|
||||
* Ön okuma materyali
|
||||
* Çalıştırılabilir Jupyter Notebooks, genellikle çerçeveye özgü (**PyTorch** veya **TensorFlow**). Çalıştırılabilir notebook ayrıca birçok teorik materyal içerir, bu yüzden konuyu anlamak için notebook'un en az bir versiyonunu (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* Çalıştırılabilir Jupyter Notebooks, genellikle çerçeveye özgü (**PyTorch** veya **TensorFlow**). Çalıştırılabilir notebook ayrıca çok fazla teorik materyal içerir, bu yüzden konuyu anlamak için notebook'un en az bir versiyonunu (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* **Lab'ler** bazı konular için mevcuttur ve öğrendiğiniz materyali belirli bir probleme uygulama fırsatı sunar.
|
||||
* Bazı bölümler, ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar içerir.
|
||||
|
||||
|
|
@ -116,18 +116,18 @@ Bulut konularında _Yapay Zeka_'ya nazik bir giriş yapmak için [Azure'da yapay
|
|||
|
||||
### 🎯 AI'ye Yeni mi Başlıyorsunuz? Buradan Başlayın!
|
||||
|
||||
AI'ye tamamen yeniyseniz ve hızlı, uygulamalı örnekler arıyorsanız, [**Yeni Başlayanlar İçin Örnekler**](./examples/README.md)'e göz atın! Bunlar şunları içerir:
|
||||
AI'ye tamamen yeniyseniz ve hızlı, uygulamalı örnekler arıyorsanız, [**Yeni Başlayanlar İçin Örnekler**](./examples/README.md) bölümüne göz atın! Bunlar şunları içerir:
|
||||
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk AI programınız (desen tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Sıfırdan bir sinir ağı oluşturun
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Görüntüleri ayrıntılı yorumlarla sınıflandırın
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Görüntüleri detaylı açıklamalarla sınıflandırın
|
||||
- 💬 **Metin Duygusu** - Olumlu/olumsuz metinleri analiz edin
|
||||
|
||||
Bu örnekler, tam müfredata dalmadan önce yapay zeka kavramlarını anlamanıza yardımcı olmak için tasarlanmıştır.
|
||||
|
||||
### 📚 Tam Müfredat Kurulumu
|
||||
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olmak için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk. - Eğitmenler için ayrıca bir [müfredat kurulum dersi](./lessons/0-course-setup/for-teachers.md) de hazırladık!
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olmak için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk. - Eğitmenler için ayrıca bir [müfredat kurulum dersi](./lessons/0-course-setup/for-teachers.md) hazırladık!
|
||||
- [Kodunuzu VSCode veya Codepace'te nasıl çalıştıracağınızı](./lessons/0-course-setup/how-to-run.md) öğrenin.
|
||||
|
||||
Bu adımları izleyin:
|
||||
|
|
@ -146,9 +146,9 @@ Bu kursu alan diğer öğrencilerle tanışmak ve ağ kurmak için [resmi AI Dis
|
|||
|
||||
## Quizler
|
||||
|
||||
> **Quizler hakkında bir not**: Tüm quizler, etc\quiz-app klasöründeki Quiz-app klasöründe veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/) yer almaktadır. Derslerin içinden bağlantılıdır ve quiz uygulaması yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir.
|
||||
> **Quizler hakkında bir not**: Tüm quizler, etc\quiz-app klasöründeki Quiz-app klasöründe veya [çevrimiçi burada](https://ff-quizzes.netlify.app/) bulunur. Derslerin içinden bağlantılıdır ve quiz uygulaması yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir.
|
||||
|
||||
## Yardım İsteniyor
|
||||
## Yardım İstiyoruz
|
||||
|
||||
Önerileriniz var mı veya yazım ya da kod hataları mı buldunuz? Bir sorun bildirin veya bir pull request oluşturun.
|
||||
|
||||
|
|
@ -164,6 +164,12 @@ Bu kursu alan diğer öğrencilerle tanışmak ve ağ kurmak için [resmi AI Dis
|
|||
|
||||
Ekibimiz başka müfredatlar da üretiyor! Göz atın:
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Ajanlar
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,7 +204,7 @@ Ekibimiz başka müfredatlar da üretiyor! Göz atın:
|
|||
|
||||
## Yardım Alma
|
||||
|
||||
Eğer takılırsanız veya yapay zeka uygulamaları oluşturma hakkında sorularınız olursa, diğer öğrenciler ve deneyimli geliştiricilerle MCP hakkında tartışmalara katılın. Soruların memnuniyetle karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluk.
|
||||
Eğer takılırsanız veya yapay zeka uygulamaları oluşturma hakkında sorularınız varsa, diğer öğrenciler ve deneyimli geliştiricilerle MCP hakkında tartışmalara katılın. Soruların memnuniyetle karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluk.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Eğer ürünle ilgili geri bildirimleriniz veya oluşturma sırasında hataları
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Feragatname**:
|
||||
Bu belge, AI çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çeviriler hata veya yanlışlıklar içerebilir. Belgenin orijinal dili, yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan herhangi bir yanlış anlama veya yanlış yorumlama durumunda sorumluluk kabul edilmez.
|
||||
Bu belge, [Co-op Translator](https://github.com/Azure/co-op-translator) adlı yapay zeka çeviri hizmeti kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çevirilerin hata veya yanlışlıklar içerebileceğini lütfen unutmayın. Belgenin orijinal dili, yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan yanlış anlamalar veya yanlış yorumlamalardan sorumlu değiliz.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:21:39+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:05:58+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tw"
|
||||
}
|
||||
|
|
@ -23,9 +23,9 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# 人工智慧入門課程 - 一個完整的課程
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| 人工智慧入門課程 - _手繪筆記由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製_ |
|
||||
| 人工智慧入門課程 - _速記筆記由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製_ |
|
||||
|
||||
透過我們為期 12 週、共 24 節課的課程，探索 **人工智慧** (AI) 的世界！課程包含實用的教學、測驗和實驗室練習。這是一個適合初學者的課程，涵蓋了像 TensorFlow 和 PyTorch 這樣的工具，以及 AI 的倫理議題。
|
||||
|
||||
|
|
@ -48,23 +48,23 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
在這個課程中，您將學到：
|
||||
|
||||
* 不同的人工智慧方法，包括「經典」的符號方法，使用 **知識表示** 和推理 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
|
||||
* **神經網路** 和 **深度學習**，這是現代 AI 的核心。我們將使用兩個最受歡迎的框架 [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的程式碼來說明這些重要主題的概念。
|
||||
* 不同的人工智慧方法，包括「經典的」符號方法，使用 **知識表徵** 和推理 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
|
||||
* **神經網路** 和 **深度學習**，這是現代 AI 的核心。我們將使用兩個最受歡迎的框架 [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的程式碼來說明這些重要主題背後的概念。
|
||||
* 用於處理影像和文字的 **神經架構**。我們將涵蓋一些近期的模型，但可能不包括最新的技術。
|
||||
* 不那麼常見的 AI 方法，例如 **遺傳演算法** 和 **多代理系統**。
|
||||
|
||||
我們不會在這個課程中涵蓋：
|
||||
本課程不會涵蓋的內容：
|
||||
|
||||
> [在 Microsoft Learn 的課程資源集合中找到所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [在 Microsoft Learn 集合中找到本課程的所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI 在商業中的應用案例**。建議參加 [商業用戶的 AI 入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，或 [AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，這是與 [INSEAD](https://www.insead.edu/) 合作開發的。
|
||||
* **經典機器學習**，這在我們的 [機器學習入門課程](http://github.com/Microsoft/ML-for-Beginners) 中有詳細描述。
|
||||
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 構建的實際 AI 應用。建議從 Microsoft Learn 的模組開始，例如 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[使用 Azure OpenAI Service 的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* **AI 在商業中的應用案例**。建議參加 [商業用戶的 AI 入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，或 [AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)，由 [INSEAD](https://www.insead.edu/) 合作開發。
|
||||
* **經典機器學習**，這部分已在我們的 [機器學習入門課程](http://github.com/Microsoft/ML-for-Beginners) 中詳細描述。
|
||||
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 構建的實際 AI 應用。建議從 Microsoft Learn 的模組開始，例如 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[使用 Azure OpenAI 服務的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的 ML **雲端框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議使用 [使用 Azure Machine Learning 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 構建和運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
* **對話式 AI** 和 **聊天機器人**。有一個單獨的 [創建對話式 AI 解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 學習路徑，您也可以參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 獲取更多細節。
|
||||
* **深度學習的數學基礎**。建議閱讀 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 所著的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可以在線上閱讀 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
* **深度學習的數學基礎**。建議閱讀 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 所著的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可在線上閱讀 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
|
||||
如果您想要輕鬆了解 _雲端 AI_ 主題，可以考慮參加 [在 Azure 上開始人工智慧](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
如果您想要輕鬆了解 _雲端 AI_ 主題，可以考慮參加 [在 Azure 上開始人工智慧之旅](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
|
||||
|
||||
# 課程內容
|
||||
|
||||
|
|
@ -74,17 +74,17 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| I | [**AI 簡介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI 的簡介與歷史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **符號 AI** |
|
||||
| 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [知識表徵與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**神經網路簡介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [感知器 (Perceptron)](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [多層感知器與建立我們自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介紹 (PyTorch/TensorFlow) 與過擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**電腦視覺**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [探索 Microsoft Azure 上的電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [電腦視覺入門. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [卷積神經網路 (Convolutional Neural Networks)](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 06 | [電腦視覺介紹. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [卷積神經網路](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [預訓練網路與遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [自編碼器與變分自編碼器 (VAEs)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [生成對抗網路 (GANs) 與藝術風格轉換](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [生成對抗網路 (GANs) 與藝術風格轉移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [物件偵測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [語義分割. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**自然語言處理**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [探索 Microsoft Azure 上的自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
|
|
@ -103,27 +103,27 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| VII | **AI 倫理** | | |
|
||||
| 24 | [AI 倫理與負責任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任的 AI 原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **其他內容** | | |
|
||||
| 25 | [多模態網路、CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [多模態網路, CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## 每個課程包含
|
||||
|
||||
* 預讀材料
|
||||
* 可執行的 Jupyter Notebook，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行的 Notebook 也包含大量理論材料，因此要理解主題，您需要至少閱讀一個版本的 Notebook（PyTorch 或 TensorFlow）。
|
||||
* 可執行的 Jupyter Notebook，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。Notebook 也包含大量理論內容，因此要理解主題，您需要至少閱讀一個版本的 Notebook（PyTorch 或 TensorFlow）。
|
||||
* **實驗室**，適用於某些主題，讓您有機會將所學應用於特定問題。
|
||||
* 部分章節包含指向 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結，涵蓋相關主題。
|
||||
|
||||
## 開始使用
|
||||
## 開始學習
|
||||
|
||||
### 🎯 AI 新手？從這裡開始！
|
||||
|
||||
如果您對 AI 完全陌生，並希望快速上手實作範例，請查看我們的 [**初學者友好範例**](./examples/README.md)！這些範例包括：
|
||||
如果您對 AI 完全陌生，並希望快速上手實作範例，請查看我們的 [**適合初學者的範例**](./examples/README.md)！這些範例包括：
|
||||
|
||||
- 🌟 **Hello AI World** - 您的第一個 AI 程式（模式識別）
|
||||
- 🧠 **簡單神經網路** - 從零開始建立神經網路
|
||||
- 🖼️ **圖像分類器** - 帶有詳細註解的圖像分類器
|
||||
- 💬 **文字情感分析** - 分析正面/負面的文字
|
||||
|
||||
這些範例旨在幫助你在深入完整課程之前了解 AI 概念。
|
||||
這些範例旨在幫助你在進入完整課程之前了解 AI 概念。
|
||||
|
||||
### 📚 完整課程設置
|
||||
|
||||
|
|
@ -132,7 +132,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
請按照以下步驟操作：
|
||||
|
||||
分叉此儲存庫：點擊本頁右上角的 "Fork" 按鈕。
|
||||
分叉此儲存庫：點擊此頁面右上角的 "Fork" 按鈕。
|
||||
|
||||
克隆此儲存庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
|
|
@ -140,13 +140,13 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## 與其他學習者交流
|
||||
|
||||
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與其他學習這門課程的學員交流並獲得支援。
|
||||
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與其他學習此課程的學員交流並獲得支援。
|
||||
|
||||
如果在構建過程中有產品反饋或問題，請訪問我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)
|
||||
如果在構建過程中有產品反饋或問題，請訪問我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)。
|
||||
|
||||
## 測驗
|
||||
|
||||
> **關於測驗的說明**：所有測驗都包含在 etc\quiz-app 資料夾中的 Quiz-app 資料夾內，或[線上測驗](https://ff-quizzes.netlify.app/)。它們在課程中有連結，測驗應用程式可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示操作。測驗正在逐步本地化。
|
||||
> **關於測驗的說明**：所有測驗都包含在 etc\quiz-app 的 Quiz-app 資料夾中，或[線上測驗](https://ff-quizzes.netlify.app/)。它們在課程中有連結，測驗應用程式可以在本地運行或部署到 Azure；請按照 `quiz-app` 資料夾中的指示操作。測驗正在逐步本地化。
|
||||
|
||||
## 需要幫助
|
||||
|
||||
|
|
@ -164,37 +164,43 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
我們的團隊還製作了其他課程！查看以下內容：
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 生成式 AI 系列
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 核心學習
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot 系列
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 獲取幫助
|
||||
|
||||
|
|
@ -202,7 +208,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
如果在構建過程中有產品反饋或錯誤，請訪問：
|
||||
如果你在構建過程中有產品反饋或發現錯誤，請訪問：
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**免責聲明**：
|
||||
本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯，請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵資訊，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。
|
||||
本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原文文件作為權威來源。對於關鍵資訊，建議尋求專業人工翻譯。我們對於因使用本翻譯而產生的任何誤解或誤釋不承擔責任。
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,21 +1,21 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T20:25:45+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T15:02:34+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "uk"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
|
|
@ -27,14 +27,14 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|:---:|
|
||||
| Штучний інтелект для початківців - _Скетчнот від [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Досліджуйте світ **Штучного інтелекту** (AI) за допомогою нашої 12-тижневої програми з 24 уроків! Вона включає практичні заняття, тести та лабораторні роботи. Програма розрахована на початківців і охоплює інструменти, такі як TensorFlow і PyTorch, а також етику в AI.
|
||||
Досліджуйте світ **Штучного інтелекту** (ШІ) з нашою 12-тижневою навчальною програмою, що складається з 24 уроків! Вона включає практичні заняття, тести та лабораторні роботи. Програма розрахована на початківців і охоплює інструменти, такі як TensorFlow і PyTorch, а також етику в ШІ.
|
||||
|
||||
### 🌐 Підтримка багатомовності
|
||||
### 🌐 Підтримка багатьох мов
|
||||
|
||||
#### Підтримується через GitHub Action (автоматично та завжди актуально)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Арабська](../ar/README.md) | [Бенгальська](../bn/README.md) | [Болгарська](../bg/README.md) | [Бірманська (М'янма)](../my/README.md) | [Китайська (спрощена)](../zh/README.md) | [Китайська (традиційна, Гонконг)](../hk/README.md) | [Китайська (традиційна, Макао)](../mo/README.md) | [Китайська (традиційна, Тайвань)](../tw/README.md) | [Хорватська](../hr/README.md) | [Чеська](../cs/README.md) | [Данська](../da/README.md) | [Голландська](../nl/README.md) | [Естонська](../et/README.md) | [Фінська](../fi/README.md) | [Французька](../fr/README.md) | [Німецька](../de/README.md) | [Грецька](../el/README.md) | [Іврит](../he/README.md) | [Гінді](../hi/README.md) | [Угорська](../hu/README.md) | [Індонезійська](../id/README.md) | [Італійська](../it/README.md) | [Японська](../ja/README.md) | [Каннада](../kn/README.md) | [Корейська](../ko/README.md) | [Литовська](../lt/README.md) | [Малайська](../ms/README.md) | [Малаялам](../ml/README.md) | [Маратхі](../mr/README.md) | [Непальська](../ne/README.md) | [Нігерійський піджин](../pcm/README.md) | [Норвезька](../no/README.md) | [Перська (фарсі)](../fa/README.md) | [Польська](../pl/README.md) | [Португальська (Бразилія)](../br/README.md) | [Португальська (Португалія)](../pt/README.md) | [Пенджабі (Гурмухі)](../pa/README.md) | [Румунська](../ro/README.md) | [Російська](../ru/README.md) | [Сербська (кирилиця)](../sr/README.md) | [Словацька](../sk/README.md) | [Словенська](../sl/README.md) | [Іспанська](../es/README.md) | [Суахілі](../sw/README.md) | [Шведська](../sv/README.md) | [Тагальська (філіппінська)](../tl/README.md) | [Тамільська](../ta/README.md) | [Телугу](../te/README.md) | [Тайська](../th/README.md) | [Турецька](../tr/README.md) | [Українська](./README.md) | [Урду](../ur/README.md) | [В'єтнамська](../vi/README.md)
|
||||
[Арабська](../ar/README.md) | [Бенгальська](../bn/README.md) | [Болгарська](../bg/README.md) | [Бірманська (М'янма)](../my/README.md) | [Китайська (спрощена)](../zh/README.md) | [Китайська (традиційна, Гонконг)](../hk/README.md) | [Китайська (традиційна, Макао)](../mo/README.md) | [Китайська (традиційна, Тайвань)](../tw/README.md) | [Хорватська](../hr/README.md) | [Чеська](../cs/README.md) | [Данська](../da/README.md) | [Голландська](../nl/README.md) | [Естонська](../et/README.md) | [Фінська](../fi/README.md) | [Французька](../fr/README.md) | [Німецька](../de/README.md) | [Грецька](../el/README.md) | [Іврит](../he/README.md) | [Гінді](../hi/README.md) | [Угорська](../hu/README.md) | [Індонезійська](../id/README.md) | [Італійська](../it/README.md) | [Японська](../ja/README.md) | [Каннада](../kn/README.md) | [Корейська](../ko/README.md) | [Литовська](../lt/README.md) | [Малайська](../ms/README.md) | [Малаялам](../ml/README.md) | [Маратхі](../mr/README.md) | [Непальська](../ne/README.md) | [Нігерійський піджин](../pcm/README.md) | [Норвезька](../no/README.md) | [Перська (фарсі)](../fa/README.md) | [Польська](../pl/README.md) | [Португальська (Бразилія)](../br/README.md) | [Португальська (Португалія)](../pt/README.md) | [Панджабі (Гурмухі)](../pa/README.md) | [Румунська](../ro/README.md) | [Російська](../ru/README.md) | [Сербська (кирилиця)](../sr/README.md) | [Словацька](../sk/README.md) | [Словенська](../sl/README.md) | [Іспанська](../es/README.md) | [Суахілі](../sw/README.md) | [Шведська](../sv/README.md) | [Тагальська (філіппінська)](../tl/README.md) | [Тамільська](../ta/README.md) | [Телугу](../te/README.md) | [Тайська](../th/README.md) | [Турецька](../tr/README.md) | [Українська](./README.md) | [Урду](../ur/README.md) | [В'єтнамська](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Якщо ви хочете додати інші переклади, список підтримуваних мов доступний [тут](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
|
@ -42,38 +42,38 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
## Приєднуйтесь до спільноти
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Що ви дізнаєтесь
|
||||
## Чого ви навчитеся
|
||||
|
||||
**[Ментальна карта курсу](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
У цій навчальній програмі ви дізнаєтесь:
|
||||
У цій навчальній програмі ви дізнаєтеся:
|
||||
|
||||
* Різні підходи до Штучного інтелекту, включаючи "старий добрий" символічний підхід із **Представленням знань** та логікою ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Нейронні мережі** та **Глибоке навчання**, які є основою сучасного AI. Ми ілюструємо концепції цих важливих тем за допомогою коду в двох найпопулярніших фреймворках - [TensorFlow](http://Tensorflow.org) та [PyTorch](http://pytorch.org).
|
||||
* Різні підходи до Штучного інтелекту, включаючи "старий добрий" символічний підхід із **Представленням знань** і логікою ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Нейронні мережі** та **Глибоке навчання**, які є основою сучасного ШІ. Ми пояснимо концепції цих важливих тем за допомогою коду в двох найпопулярніших фреймворках - [TensorFlow](http://Tensorflow.org) і [PyTorch](http://pytorch.org).
|
||||
* **Нейронні архітектури** для роботи із зображеннями та текстом. Ми розглянемо сучасні моделі, хоча вони можуть бути трохи застарілими.
|
||||
* Менш популярні підходи до AI, такі як **Генетичні алгоритми** та **Системи з багатьма агентами**.
|
||||
* Менш популярні підходи до ШІ, такі як **Генетичні алгоритми** та **Системи з багатьма агентами**.
|
||||
|
||||
Що ми не охоплюємо в цій навчальній програмі:
|
||||
Що ми не будемо охоплювати в цій навчальній програмі:
|
||||
|
||||
> [Знайдіть усі додаткові ресурси для цього курсу в нашій колекції Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Бізнес-кейси використання **AI у бізнесі**. Рекомендуємо пройти навчальний шлях [Вступ до AI для бізнес-користувачів](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn або [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), розроблений у співпраці з [INSEAD](https://www.insead.edu/).
|
||||
* Бізнес-кейси використання **ШІ в бізнесі**. Рекомендуємо пройти навчальний шлях [Вступ до ШІ для бізнес-користувачів](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn або [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), розроблений у співпраці з [INSEAD](https://www.insead.edu/).
|
||||
* **Класичне машинне навчання**, яке добре описане в нашій [Навчальній програмі з машинного навчання для початківців](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Практичні застосування AI, побудовані за допомогою **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для цього рекомендуємо почати з модулів Microsoft Learn для [комп'ютерного зору](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обробки природної мови](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративного AI з Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** та інших.
|
||||
* Конкретні **хмарні фреймворки ML**, такі як [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) або [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Рекомендуємо пройти навчальні шляхи [Створення та управління рішеннями машинного навчання з Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) та [Створення та управління рішеннями машинного навчання з Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Розмовний AI** та **чат-боти**. Є окремий навчальний шлях [Створення рішень розмовного AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а також можна звернутися до [цієї статті](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для отримання додаткової інформації.
|
||||
* **Глибока математика** глибокого навчання. Для цього рекомендуємо книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) авторів Іана Гудфеллоу, Йошуа Бенджіо та Аарона Курвіля, яка також доступна онлайн за посиланням [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Практичні застосування ШІ, створені за допомогою **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для цього рекомендуємо почати з модулів Microsoft Learn для [комп'ютерного зору](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обробки природної мови](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративного ШІ з Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** та інших.
|
||||
* Конкретні **хмарні фреймворки для машинного навчання**, такі як [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) або [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Рекомендуємо використовувати навчальні шляхи [Створення та управління рішеннями машинного навчання з Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) та [Створення та управління рішеннями машинного навчання з Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Розмовний ШІ** та **чат-боти**. Є окремий навчальний шлях [Створення рішень для розмовного ШІ](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а також можна звернутися до [цієї статті](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для отримання додаткової інформації.
|
||||
* **Глибока математика** глибокого навчання. Для цього рекомендуємо книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) авторів Ієна Гудфеллоу, Йошуа Бенджіо та Аарона Курвіля, яка також доступна онлайн за посиланням [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Для м'якого вступу до тем _AI у хмарі_ можна пройти навчальний шлях [Початок роботи зі штучним інтелектом на Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Для м'якого вступу до тем _ШІ в хмарі_ можна розглянути навчальний шлях [Початок роботи зі штучним інтелектом на Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Зміст
|
||||
|
||||
| | Посилання на урок | PyTorch/Keras/TensorFlow | Лабораторна робота |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Налаштування курсу](./lessons/0-course-setup/setup.md) | [Налаштування середовища розробки](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Вступ до AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Вступ та історія AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Символічний AI** |
|
||||
| I | [**Вступ до ШІ**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Вступ та історія ШІ](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Символічний ШІ** |
|
||||
| 02 | [Представлення знань та експертні системи](./lessons/2-Symbolic/README.md) | [Експертні системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтологія](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф концептів](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Вступ до нейронних мереж**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Ноутбук](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лабораторна робота](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
|
|
@ -85,7 +85,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 08 | [Попередньо навчені мережі та перенесення навчання](./lessons/4-ComputerVision/08-TransferLearning/README.md) та [Трюки навчання](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Автокодувальники та VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Генеративні змагальні мережі та перенесення художнього стилю](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Розпізнавання об'єктів](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 11 | [Виявлення об'єктів](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Семантична сегментація. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Обробка природної мови**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Дослідження обробки природної мови на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Представлення тексту. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
|
|
@ -138,52 +138,58 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
Не забудьте додати зірочку (🌟) цьому репозиторію, щоб легше знайти його пізніше.
|
||||
|
||||
## Познайомтеся з іншими учнями
|
||||
## Знайомтеся з іншими учнями
|
||||
|
||||
Приєднуйтесь до нашого [офіційного AI Discord-сервера](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), щоб познайомитися та спілкуватися з іншими учнями, які проходять цей курс, і отримувати підтримку.
|
||||
Приєднуйтесь до нашого [офіційного AI Discord-сервера](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), щоб знайомитися та спілкуватися з іншими учнями, які проходять цей курс, і отримувати підтримку.
|
||||
|
||||
Якщо у вас є відгуки про продукт або питання під час створення, відвідайте наш [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Тести
|
||||
## Вікторини
|
||||
|
||||
> **Примітка про тести**: Усі тести знаходяться в папці Quiz-app у etc\quiz-app або [онлайн тут](https://ff-quizzes.netlify.app/). Вони пов’язані з уроками, і додаток для тестів можна запускати локально або розгортати в Azure; дотримуйтесь інструкцій у папці `quiz-app`. Вони поступово локалізуються.
|
||||
> **Примітка про вікторини**: Усі вікторини знаходяться в папці Quiz-app у etc\quiz-app, або [онлайн тут](https://ff-quizzes.netlify.app/). Вони пов'язані з уроками, і додаток для вікторин можна запускати локально або розгортати в Azure; дотримуйтесь інструкцій у папці `quiz-app`. Вікторини поступово локалізуються.
|
||||
|
||||
## Потрібна допомога
|
||||
|
||||
У вас є пропозиції або ви знайшли орфографічні чи кодові помилки? Створіть issue або pull request.
|
||||
Є пропозиції або знайшли орфографічні чи кодові помилки? Створіть issue або pull request.
|
||||
|
||||
## Особлива подяка
|
||||
|
||||
* **✍️ Основний автор:** [Дмитро Сошніков](http://soshnikov.com), PhD
|
||||
* **✍️ Основний автор:** [Дмитро Сошников](http://soshnikov.com), PhD
|
||||
* **🔥 Редактор:** [Джен Лупер](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ілюстратор скетчнотів:** [Томомі Імура](https://twitter.com/girlie_mac)
|
||||
* **✅ Автор тестів:** [Латіфа Белло](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **✅ Автор вікторин:** [Латіфа Белло](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Основні учасники:** [Євгеній Піщик](https://github.com/Pe4enIks)
|
||||
|
||||
## Інші курси
|
||||
|
||||
Наша команда створює й інші курси! Ознайомтеся:
|
||||
Наша команда створює інші навчальні матеріали! Ознайомтеся:
|
||||
|
||||
### Azure / Edge / MCP / Агенти
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Серія про генеративний ШІ
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Серія Генеративного AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Основне навчання
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -191,14 +197,14 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
---
|
||||
|
||||
### Серія про Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
### Серія Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Отримання допомоги
|
||||
|
||||
Якщо ви застрягли або маєте питання щодо створення додатків з ШІ, приєднуйтесь до обговорень з іншими учнями та досвідченими розробниками про MCP. Це підтримуюча спільнота, де вітаються питання та вільно ділиться знаннями.
|
||||
Якщо ви застрягли або маєте питання щодо створення AI-додатків, приєднуйтесь до обговорень MCP з іншими учнями та досвідченими розробниками. Це підтримуюча спільнота, де питання вітаються, а знання діляться вільно.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Відмова від відповідальності**:
|
||||
Цей документ був перекладений за допомогою сервісу автоматичного перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, будь ласка, майте на увазі, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ на його рідній мові слід вважати авторитетним джерелом. Для критичної інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникають внаслідок використання цього перекладу.
|
||||
Цей документ було перекладено за допомогою сервісу автоматичного перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, звертаємо вашу увагу, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ на його рідній мові слід вважати авторитетним джерелом. Для критично важливої інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникли внаслідок використання цього перекладу.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:15:09+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T13:59:07+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ur"
|
||||
}
|
||||
|
|
@ -21,20 +21,20 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# مصنوعی ذہانت کے لیے ابتدائی رہنما - ایک نصاب
|
||||
# مصنوعی ذہانت برائے ابتدائی افراد - ایک نصاب
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| مصنوعی ذہانت کے لیے ابتدائی رہنما - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| مصنوعی ذہانت برائے ابتدائی افراد - _اسکیچ نوٹ از [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**مصنوعی ذہانت** (AI) کی دنیا کو دریافت کریں ہمارے 12 ہفتوں کے 24 اسباق پر مشتمل نصاب کے ساتھ! اس میں عملی اسباق، کوئز اور لیبز شامل ہیں۔ یہ نصاب ابتدائی افراد کے لیے موزوں ہے اور TensorFlow اور PyTorch جیسے ٹولز کے ساتھ ساتھ AI میں اخلاقیات کا احاطہ کرتا ہے۔
|
||||
**مصنوعی ذہانت** (AI) کی دنیا کو دریافت کریں ہمارے 12 ہفتوں کے، 24 اسباق پر مشتمل نصاب کے ساتھ! اس میں عملی اسباق، کوئز اور لیبز شامل ہیں۔ یہ نصاب ابتدائی افراد کے لیے موزوں ہے اور TensorFlow اور PyTorch جیسے ٹولز کے ساتھ ساتھ AI میں اخلاقیات کا احاطہ کرتا ہے۔
|
||||
|
||||
### 🌐 کثیر زبان کی حمایت
|
||||
### 🌐 کثیر لسانی معاونت
|
||||
|
||||
#### GitHub Action کے ذریعے معاون (خودکار اور ہمیشہ تازہ ترین)
|
||||
#### GitHub ایکشن کے ذریعے معاون (خودکار اور ہمیشہ تازہ ترین)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاریائی](../bg/README.md) | [برمی (میانمار)](../my/README.md) | [چینی (سادہ)](../zh/README.md) | [چینی (روایتی، ہانگ کانگ)](../hk/README.md) | [چینی (روایتی، مکاؤ)](../mo/README.md) | [چینی (روایتی، تائیوان)](../tw/README.md) | [کروشین](../hr/README.md) | [چیک](../cs/README.md) | [ڈینش](../da/README.md) | [ڈچ](../nl/README.md) | [ایسٹونین](../et/README.md) | [فنش](../fi/README.md) | [فرانسیسی](../fr/README.md) | [جرمن](../de/README.md) | [یونانی](../el/README.md) | [عبرانی](../he/README.md) | [ہندی](../hi/README.md) | [ہنگریائی](../hu/README.md) | [انڈونیشیائی](../id/README.md) | [اطالوی](../it/README.md) | [جاپانی](../ja/README.md) | [کنڑ](../kn/README.md) | [کوریائی](../ko/README.md) | [لتھوانیائی](../lt/README.md) | [ملائی](../ms/README.md) | [ملیالم](../ml/README.md) | [مراٹھی](../mr/README.md) | [نیپالی](../ne/README.md) | [نائجیرین پیجن](../pcm/README.md) | [نارویجین](../no/README.md) | [فارسی (ایرانی)](../fa/README.md) | [پولش](../pl/README.md) | [پرتگالی (برازیل)](../br/README.md) | [پرتگالی (پرتگال)](../pt/README.md) | [پنجابی (گرمکھی)](../pa/README.md) | [رومانیائی](../ro/README.md) | [روسی](../ru/README.md) | [سربیائی (سیریلک)](../sr/README.md) | [سلوواک](../sk/README.md) | [سلووینیائی](../sl/README.md) | [ہسپانوی](../es/README.md) | [سواحلی](../sw/README.md) | [سویڈش](../sv/README.md) | [ٹیگالوگ (فلپینی)](../tl/README.md) | [تمل](../ta/README.md) | [تیلگو](../te/README.md) | [تھائی](../th/README.md) | [ترکی](../tr/README.md) | [یوکرینی](../uk/README.md) | [اردو](./README.md) | [ویتنامی](../vi/README.md)
|
||||
[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاریائی](../bg/README.md) | [برمی (میانمار)](../my/README.md) | [چینی (سادہ)](../zh/README.md) | [چینی (روایتی، ہانگ کانگ)](../hk/README.md) | [چینی (روایتی، مکاؤ)](../mo/README.md) | [چینی (روایتی، تائیوان)](../tw/README.md) | [کروشین](../hr/README.md) | [چیک](../cs/README.md) | [ڈینش](../da/README.md) | [ڈچ](../nl/README.md) | [ایسٹونین](../et/README.md) | [فنش](../fi/README.md) | [فرانسیسی](../fr/README.md) | [جرمن](../de/README.md) | [یونانی](../el/README.md) | [عبرانی](../he/README.md) | [ہندی](../hi/README.md) | [ہنگریائی](../hu/README.md) | [انڈونیشیائی](../id/README.md) | [اطالوی](../it/README.md) | [جاپانی](../ja/README.md) | [کنڑ](../kn/README.md) | [کوریائی](../ko/README.md) | [لیتھوینین](../lt/README.md) | [ملائی](../ms/README.md) | [ملیالم](../ml/README.md) | [مراٹھی](../mr/README.md) | [نیپالی](../ne/README.md) | [نائجیرین پیجن](../pcm/README.md) | [نارویجین](../no/README.md) | [فارسی](../fa/README.md) | [پولش](../pl/README.md) | [پرتگالی (برازیل)](../br/README.md) | [پرتگالی (پرتگال)](../pt/README.md) | [پنجابی (گرمکھی)](../pa/README.md) | [رومانیائی](../ro/README.md) | [روسی](../ru/README.md) | [سربیائی (سیریلیک)](../sr/README.md) | [سلوواک](../sk/README.md) | [سلووینیائی](../sl/README.md) | [ہسپانوی](../es/README.md) | [سواحلی](../sw/README.md) | [سویڈش](../sv/README.md) | [ٹیگالوگ (فلپائنی)](../tl/README.md) | [تمل](../ta/README.md) | [تیلگو](../te/README.md) | [تھائی](../th/README.md) | [ترکی](../tr/README.md) | [یوکرینی](../uk/README.md) | [اردو](./README.md) | [ویتنامی](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**اگر آپ اضافی زبانوں میں ترجمہ چاہتے ہیں تو معاون زبانوں کی فہرست [یہاں](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) موجود ہے۔**
|
||||
|
|
@ -46,10 +46,10 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
**[کورس کا مائنڈ میپ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
اس نصاب میں آپ سیکھیں گے:
|
||||
اس نصاب میں، آپ سیکھیں گے:
|
||||
|
||||
* مصنوعی ذہانت کے مختلف طریقے، جن میں "پرانا اچھا" علامتی طریقہ شامل ہے جس میں **علم کی نمائندگی** اور استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) شامل ہیں۔
|
||||
* **نیورل نیٹ ورکس** اور **ڈیپ لرننگ**، جو جدید AI کا مرکز ہیں۔ ہم ان اہم موضوعات کے پیچھے تصورات کو دو مشہور فریم ورک - [TensorFlow](http://Tensorflow.org) اور [PyTorch](http://pytorch.org) میں کوڈ کے ذریعے واضح کریں گے۔
|
||||
* مصنوعی ذہانت کے مختلف طریقے، جن میں "پرانا" علامتی طریقہ شامل ہے جس میں **علم کی نمائندگی** اور استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) شامل ہیں۔
|
||||
* **نیورل نیٹ ورکس** اور **ڈیپ لرننگ**، جو جدید AI کا مرکز ہیں۔ ہم ان اہم موضوعات کے تصورات کو دو مشہور فریم ورک - [TensorFlow](http://Tensorflow.org) اور [PyTorch](http://pytorch.org) میں کوڈ کے ذریعے واضح کریں گے۔
|
||||
* **نیورل آرکیٹیکچرز** جو تصاویر اور متن کے ساتھ کام کرتے ہیں۔ ہم حالیہ ماڈلز کا احاطہ کریں گے لیکن جدید ترین میں کچھ کمی ہو سکتی ہے۔
|
||||
* کم مقبول AI طریقے، جیسے **جینیٹک الگورتھمز** اور **ملٹی ایجنٹ سسٹمز**۔
|
||||
|
||||
|
|
@ -57,20 +57,20 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
> [اس کورس کے تمام اضافی وسائل ہماری Microsoft Learn کلیکشن میں تلاش کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **AI کو کاروبار میں استعمال کرنے کے کاروباری کیسز**۔ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ یا [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)، جو [INSEAD](https://www.insead.edu/) کے تعاون سے تیار کی گئی ہے، لینے پر غور کریں۔
|
||||
* **کاروبار میں AI کے استعمال کے کیسز**۔ Microsoft Learn پر [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) یا [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) لینے پر غور کریں، جو [INSEAD](https://www.insead.edu/) کے تعاون سے تیار کیا گیا ہے۔
|
||||
* **کلاسک مشین لرننگ**، جو ہمارے [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) میں اچھی طرح بیان کی گئی ہے۔
|
||||
* **Cognitive Services** کا استعمال کرتے ہوئے عملی AI ایپلیکیشنز۔ اس کے لیے، ہم تجویز کرتے ہیں کہ آپ Microsoft Learn کے ماڈیولز کے ساتھ شروع کریں جیسے [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** اور دیگر۔
|
||||
* مخصوص ML **Cloud Frameworks**، جیسے [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)۔ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) اور [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ لینے پر غور کریں۔
|
||||
* **Conversational AI** اور **Chat Bots**۔ ایک الگ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ موجود ہے، اور آپ مزید تفصیل کے لیے [اس بلاگ پوسٹ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) کا حوالہ دے سکتے ہیں۔
|
||||
* **ڈیپ لرننگ کے پیچھے گہری ریاضی**۔ اس کے لیے، ہم تجویز کریں گے [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) از ایان گڈفیلو، یوشوا بینگیو اور ایرن کورویل، جو آن لائن بھی دستیاب ہے [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)۔
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** کا استعمال کرتے ہوئے عملی AI ایپلیکیشنز۔ اس کے لیے، ہم تجویز کرتے ہیں کہ آپ Microsoft Learn کے ماڈیولز سے آغاز کریں جیسے [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** اور دیگر۔
|
||||
* مخصوص ML **کلاؤڈ فریم ورک**، جیسے [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)۔ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) اور [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھز استعمال کرنے پر غور کریں۔
|
||||
* **مکالماتی AI** اور **چیٹ بوٹس**۔ اس کے لیے ایک علیحدہ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ موجود ہے، اور آپ مزید تفصیل کے لیے [اس بلاگ پوسٹ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) کا حوالہ دے سکتے ہیں۔
|
||||
* **ڈیپ لرننگ کے پیچھے گہری ریاضی**۔ اس کے لیے، ہم تجویز کرتے ہیں [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) از ایان گڈفیلو، یوشوا بینگیو اور آرون کورویل، جو آن لائن بھی دستیاب ہے [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)۔
|
||||
|
||||
AI in the Cloud کے موضوعات پر نرم تعارف کے لیے آپ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ لینے پر غور کر سکتے ہیں۔
|
||||
کلاؤڈ میں _AI_ کے موضوعات کا نرم تعارف حاصل کرنے کے لیے آپ [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) لرننگ پاتھ لینے پر غور کر سکتے ہیں۔
|
||||
|
||||
# مواد
|
||||
|
||||
| | سبق کا لنک | PyTorch/Keras/TensorFlow | لیب |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [کورس سیٹ اپ](./lessons/0-course-setup/setup.md) | [اپنے ڈیولپمنٹ ماحول کو سیٹ اپ کریں](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [کورس سیٹ اپ](./lessons/0-course-setup/setup.md) | [اپنا ڈیولپمنٹ ماحول سیٹ اپ کریں](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**مصنوعی ذہانت کا تعارف**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [مصنوعی ذہانت کا تعارف اور تاریخ](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **علامتی AI** |
|
||||
|
|
@ -107,7 +107,7 @@ AI in the Cloud کے موضوعات پر نرم تعارف کے لیے آپ [Get
|
|||
|
||||
## ہر سبق میں شامل ہے
|
||||
|
||||
* پہلے سے پڑھنے کا مواد
|
||||
* پیشگی مطالعہ کا مواد
|
||||
* قابل عمل Jupyter نوٹ بکس، جو اکثر فریم ورک (**PyTorch** یا **TensorFlow**) کے لیے مخصوص ہوتی ہیں۔ قابل عمل نوٹ بک میں بہت سا نظریاتی مواد بھی شامل ہوتا ہے، لہذا موضوع کو سمجھنے کے لیے آپ کو کم از کم نوٹ بک کے ایک ورژن (PyTorch یا TensorFlow) سے گزرنا ہوگا۔
|
||||
* **لیبز** کچھ موضوعات کے لیے دستیاب ہیں، جو آپ کو سیکھے گئے مواد کو کسی خاص مسئلے پر لاگو کرنے کا موقع فراہم کرتی ہیں۔
|
||||
* کچھ سیکشنز میں [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ماڈیولز کے لنکس شامل ہیں جو متعلقہ موضوعات کا احاطہ کرتے ہیں۔
|
||||
|
|
@ -119,11 +119,11 @@ AI in the Cloud کے موضوعات پر نرم تعارف کے لیے آپ [Get
|
|||
اگر آپ AI میں بالکل نئے ہیں اور فوری، عملی مثالیں چاہتے ہیں، تو ہمارے [**ابتدائی دوستانہ مثالیں**](./examples/README.md) دیکھیں! ان میں شامل ہیں:
|
||||
|
||||
- 🌟 **ہیلو AI ورلڈ** - آپ کا پہلا AI پروگرام (پیٹرن کی پہچان)
|
||||
- 🧠 **سادہ نیورل نیٹ ورک** - شروع سے ایک نیورل نیٹ ورک بنائیں
|
||||
- 🧠 **سادہ نیورل نیٹ ورک** - شروع سے نیورل نیٹ ورک بنائیں
|
||||
- 🖼️ **امیج کلاسیفائر** - تفصیلی تبصروں کے ساتھ تصاویر کو کلاسیفائی کریں
|
||||
- 💬 **متن کا جذباتی تجزیہ** - مثبت/منفی متن کا تجزیہ کریں
|
||||
|
||||
یہ مثالیں آپ کو AI کے تصورات کو سمجھنے میں مدد دینے کے لیے بنائی گئی ہیں، تاکہ آپ مکمل نصاب میں داخل ہونے سے پہلے تیار ہو سکیں۔
|
||||
یہ مثالیں آپ کو AI کے تصورات کو سمجھنے میں مدد دینے کے لیے بنائی گئی ہیں تاکہ آپ مکمل نصاب میں داخل ہونے سے پہلے تیار ہو سکیں۔
|
||||
|
||||
### 📚 مکمل نصاب کی ترتیب
|
||||
|
||||
|
|
@ -132,17 +132,17 @@ AI in the Cloud کے موضوعات پر نرم تعارف کے لیے آپ [Get
|
|||
|
||||
ان مراحل کی پیروی کریں:
|
||||
|
||||
ریپوزٹری کو فورک کریں: اس صفحے کے اوپر دائیں کونے میں "Fork" بٹن پر کلک کریں۔
|
||||
ریپوزیٹری کو فورک کریں: اس صفحے کے اوپر دائیں کونے میں "Fork" بٹن پر کلک کریں۔
|
||||
|
||||
ریپوزٹری کو کلون کریں: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
ریپوزیٹری کو کلون کریں: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
اس ریپوزٹری کو بعد میں آسانی سے تلاش کرنے کے لیے اسے اسٹار (🌟) دینا نہ بھولیں۔
|
||||
اس ریپو کو بعد میں آسانی سے تلاش کرنے کے لیے اسے اسٹار (🌟) دینا نہ بھولیں۔
|
||||
|
||||
## دیگر سیکھنے والوں سے ملیں
|
||||
|
||||
ہمارے [سرکاری AI ڈسکارڈ سرور](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) میں شامل ہوں تاکہ اس کورس کو لینے والے دیگر سیکھنے والوں سے ملاقات کریں اور نیٹ ورکنگ کریں اور مدد حاصل کریں۔
|
||||
|
||||
اگر آپ کو پروڈکٹ کے بارے میں رائے یا سوالات ہوں تو ہمارے [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) پر جائیں۔
|
||||
اگر آپ کو پروڈکٹ کے بارے میں کوئی رائے یا سوالات ہوں تو ہمارے [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) پر جائیں۔
|
||||
|
||||
## کوئزز
|
||||
|
||||
|
|
@ -158,47 +158,53 @@ AI in the Cloud کے موضوعات پر نرم تعارف کے لیے آپ [Get
|
|||
* **🔥 ایڈیٹر:** [جین لوپر](https://twitter.com/jenlooper), پی ایچ ڈی
|
||||
* **🎨 اسکیچ نوٹ مصور:** [تومومی ایمورا](https://twitter.com/girlie_mac)
|
||||
* **✅ کوئز تخلیق کار:** [لطیفہ بیلو](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 بنیادی شراکت دار:** [ایوگینی پشچک](https://github.com/Pe4enIks)
|
||||
* **🙏 بنیادی شراکت دار:** [ایوگینی پیشچک](https://github.com/Pe4enIks)
|
||||
|
||||
## دیگر نصاب
|
||||
|
||||
ہماری ٹیم دیگر نصاب بھی تیار کرتی ہے! دیکھیں:
|
||||
|
||||
### لینگ چین
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / ایجنٹس
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### جنریٹیو AI سیریز
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### بنیادی تعلیم
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### کوپائلٹ سیریز
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## مدد حاصل کریں
|
||||
|
||||
اگر آپ کسی مسئلے میں پھنس جائیں یا AI ایپس بنانے کے بارے میں کوئی سوال ہو۔ ساتھی سیکھنے والوں اور تجربہ کار ڈویلپرز کے ساتھ MCP پر گفتگو میں شامل ہوں۔ یہ ایک معاون کمیونٹی ہے جہاں سوالات کا خیرمقدم کیا جاتا ہے اور علم آزادانہ طور پر شیئر کیا جاتا ہے۔
|
||||
اگر آپ کسی مسئلے میں پھنس جائیں یا AI ایپس بنانے کے بارے میں کوئی سوال ہو۔ دیگر سیکھنے والوں اور تجربہ کار ڈویلپرز کے ساتھ MCP پر گفتگو میں شامل ہوں۔ یہ ایک معاون کمیونٹی ہے جہاں سوالات کا خیرمقدم کیا جاتا ہے اور علم آزادانہ طور پر شیئر کیا جاتا ہے۔
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:58:47+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:40:19+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "vi"
|
||||
}
|
||||
|
|
@ -14,7 +14,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
|
@ -37,7 +37,7 @@ Khám phá thế giới **Trí tuệ nhân tạo** (AI) với chương trình h
|
|||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](./README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Nếu bạn muốn có thêm các ngôn ngữ dịch, danh sách các ngôn ngữ được hỗ trợ có tại [đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Nếu bạn muốn có thêm ngôn ngữ dịch, danh sách các ngôn ngữ được hỗ trợ có tại [đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Tham gia cộng đồng
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -48,7 +48,7 @@ Khám phá thế giới **Trí tuệ nhân tạo** (AI) với chương trình h
|
|||
|
||||
Trong chương trình này, bạn sẽ học:
|
||||
|
||||
* Các cách tiếp cận khác nhau với Trí tuệ nhân tạo, bao gồm cách tiếp cận biểu tượng "cổ điển" với **Biểu diễn tri thức** và lý luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Các cách tiếp cận khác nhau với Trí tuệ nhân tạo, bao gồm cách tiếp cận biểu tượng "cổ điển" với **Biểu diễn tri thức** và suy luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Mạng nơ-ron** và **Học sâu**, là cốt lõi của AI hiện đại. Chúng tôi sẽ minh họa các khái niệm đằng sau những chủ đề quan trọng này bằng mã trong hai framework phổ biến nhất - [TensorFlow](http://Tensorflow.org) và [PyTorch](http://pytorch.org).
|
||||
* **Kiến trúc nơ-ron** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ đề cập đến các mô hình gần đây nhưng có thể chưa bao quát được những mô hình tiên tiến nhất.
|
||||
* Các cách tiếp cận AI ít phổ biến hơn, như **Thuật toán di truyền** và **Hệ thống đa tác nhân**.
|
||||
|
|
@ -57,9 +57,9 @@ Những gì chúng tôi sẽ không đề cập trong chương trình này:
|
|||
|
||||
> [Tìm tất cả tài nguyên bổ sung cho khóa học này trong bộ sưu tập Microsoft Learn của chúng tôi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Các trường hợp sử dụng **AI trong kinh doanh**. Hãy cân nhắc tham gia lộ trình học [Giới thiệu về AI cho người dùng kinh doanh](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [Trường Kinh doanh AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), được phát triển cùng với [INSEAD](https://www.insead.edu/).
|
||||
* Các trường hợp sử dụng **AI trong kinh doanh**. Hãy cân nhắc tham gia lộ trình học [Giới thiệu về AI cho người dùng kinh doanh](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), được phát triển cùng với [INSEAD](https://www.insead.edu/).
|
||||
* **Học máy cổ điển**, được mô tả chi tiết trong [Chương trình học Học máy cho người mới bắt đầu](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Ứng dụng AI thực tế được xây dựng bằng **[Dịch vụ nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Để bắt đầu, chúng tôi khuyến nghị các module Microsoft Learn về [thị giác](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI tạo sinh với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các module khác.
|
||||
* Ứng dụng AI thực tế được xây dựng bằng **[Dịch vụ nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Để bắt đầu, bạn có thể tham khảo các module Microsoft Learn về [thị giác](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI tạo sinh với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các module khác.
|
||||
* Các **Framework đám mây ML** cụ thể, như [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), hoặc [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Hãy cân nhắc sử dụng lộ trình học [Xây dựng và vận hành giải pháp học máy với Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) và [Xây dựng và vận hành giải pháp học máy với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI hội thoại** và **Chat Bots**. Có một lộ trình học riêng [Tạo giải pháp AI hội thoại](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), và bạn cũng có thể tham khảo [bài viết blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết.
|
||||
* **Toán học chuyên sâu** đằng sau học sâu. Để tìm hiểu thêm, chúng tôi khuyến nghị cuốn sách [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, cũng có sẵn trực tuyến tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
|
@ -74,13 +74,13 @@ Những gì chúng tôi sẽ không đề cập trong chương trình này:
|
|||
| I | [**Giới thiệu về AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Giới thiệu và Lịch sử AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI biểu tượng** |
|
||||
| 02 | [Biểu diễn tri thức và Hệ thống chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ thống chuyên gia](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Biểu diễn tri thức và Hệ chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ chuyên gia](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Giới thiệu về Mạng nơ-ron**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Nhiều Lớp và Tạo Framework của Riêng Chúng Ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Giới thiệu về Frameworks (PyTorch/TensorFlow) và Hiện Tượng Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [Giới Thiệu Frameworks (PyTorch/TensorFlow) và Hiện Tượng Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Thị Giác Máy Tính**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Khám Phá Thị Giác Máy Tính trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Giới thiệu về Thị Giác Máy Tính. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 06 | [Giới Thiệu về Thị Giác Máy Tính. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Mạng Nơ-ron Tích Chập](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Kiến Trúc CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Mạng Đã Được Huấn Luyện và Học Chuyển Giao](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [Các Mẹo Huấn Luyện](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders và VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
|
|
@ -109,12 +109,12 @@ Những gì chúng tôi sẽ không đề cập trong chương trình này:
|
|||
|
||||
* Tài liệu đọc trước
|
||||
* Các Jupyter Notebook có thể thực thi, thường được thiết kế riêng cho từng framework (**PyTorch** hoặc **TensorFlow**). Notebook này cũng chứa nhiều tài liệu lý thuyết, vì vậy để hiểu chủ đề, bạn cần xem qua ít nhất một phiên bản của notebook (dùng PyTorch hoặc TensorFlow).
|
||||
* **Labs** có sẵn cho một số chủ đề, giúp bạn có cơ hội áp dụng những gì đã học vào một vấn đề cụ thể.
|
||||
* **Labs** có sẵn cho một số chủ đề, giúp bạn có cơ hội áp dụng kiến thức đã học vào một vấn đề cụ thể.
|
||||
* Một số phần có liên kết đến các module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) bao quát các chủ đề liên quan.
|
||||
|
||||
## Bắt Đầu
|
||||
|
||||
### 🎯 Mới Bắt Đầu Với AI? Bắt Đầu Từ Đây!
|
||||
### 🎯 Mới Bắt Đầu Với AI? Bắt Đầu Tại Đây!
|
||||
|
||||
Nếu bạn hoàn toàn mới với AI và muốn có các ví dụ thực hành nhanh chóng, hãy xem [**Các Ví Dụ Dành Cho Người Mới Bắt Đầu**](./examples/README.md)! Bao gồm:
|
||||
|
||||
|
|
@ -136,13 +136,13 @@ Fork kho lưu trữ: Nhấn vào nút "Fork" ở góc trên bên phải của tr
|
|||
|
||||
Clone kho lưu trữ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Đừng quên gắn sao (🌟) cho kho lưu trữ này để dễ dàng tìm lại sau.
|
||||
Đừng quên gắn sao (🌟) kho lưu trữ này để dễ dàng tìm lại sau.
|
||||
|
||||
## Gặp gỡ các học viên khác
|
||||
|
||||
Tham gia [máy chủ Discord AI chính thức](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) của chúng tôi để gặp gỡ và kết nối với các học viên khác đang tham gia khóa học này và nhận hỗ trợ.
|
||||
|
||||
Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong quá trình xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong khi xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Câu hỏi trắc nghiệm
|
||||
|
||||
|
|
@ -150,7 +150,7 @@ Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong quá trì
|
|||
|
||||
## Cần sự giúp đỡ
|
||||
|
||||
Bạn có đề xuất hoặc phát hiện lỗi chính tả hay mã? Hãy tạo một issue hoặc pull request.
|
||||
Bạn có đề xuất hoặc phát hiện lỗi chính tả hay lỗi mã? Hãy tạo một issue hoặc pull request.
|
||||
|
||||
## Lời cảm ơn đặc biệt
|
||||
|
||||
|
|
@ -164,16 +164,22 @@ Bạn có đề xuất hoặc phát hiện lỗi chính tả hay mã? Hãy tạo
|
|||
|
||||
Nhóm của chúng tôi sản xuất các chương trình học khác! Hãy xem qua:
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Chuỗi AI Tạo sinh
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Chuỗi Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -181,24 +187,24 @@ Nhóm của chúng tôi sản xuất các chương trình học khác! Hãy xem
|
|||
---
|
||||
|
||||
### Học tập cốt lõi
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Chuỗi Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Nhận hỗ trợ
|
||||
|
||||
Nếu bạn gặp khó khăn hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI. Hãy tham gia cùng các học viên khác và các nhà phát triển có kinh nghiệm trong các cuộc thảo luận về MCP. Đây là một cộng đồng hỗ trợ, nơi các câu hỏi được chào đón và kiến thức được chia sẻ tự do.
|
||||
Nếu bạn gặp khó khăn hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI, hãy tham gia cùng các học viên khác và các nhà phát triển có kinh nghiệm trong các cuộc thảo luận về MCP. Đây là một cộng đồng hỗ trợ, nơi các câu hỏi được chào đón và kiến thức được chia sẻ tự do.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ Nếu bạn có phản hồi về sản phẩm hoặc gặp lỗi trong quá tr
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Tuyên bố miễn trừ trách nhiệm**:
|
||||
Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với thông tin quan trọng, khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.
|
||||
Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "52a6a6a14341e1cc2546c2bc17ba7e32",
|
||||
"translation_date": "2025-12-12T19:16:56+00:00",
|
||||
"original_hash": "37ee7f47d982b98152785f96eefd5ffc",
|
||||
"translation_date": "2025-12-17T14:00:44+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "zh"
|
||||
}
|
||||
|
|
@ -21,64 +21,64 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# 人工智能入门 - 课程大纲
|
||||
# 人工智能入门 - 一套课程
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| 人工智能入门 - _由 [@girlie_mac](https://twitter.com/girlie_mac) 绘制的速写图_ |
|
||||
||
|
||||
|:---:|
|
||||
| 人工智能入门 - _速写笔记由 [@girlie_mac](https://twitter.com/girlie_mac) 绘制_ |
|
||||
|
||||
通过我们的12周、24课的课程大纲，探索**人工智能**（AI）的世界！课程包括实践课程、测验和实验室。该课程适合初学者，涵盖了TensorFlow和PyTorch等工具，以及人工智能伦理相关内容。
|
||||
通过我们的 12 周、24 节课程的学习，探索**人工智能**（AI）的世界！课程包括实践课程、测验和实验室。它对初学者友好，涵盖了 TensorFlow 和 PyTorch 等工具，以及 AI 的伦理问题。
|
||||
|
||||
### 🌐 多语言支持
|
||||
### 🌐 多语言支持
|
||||
|
||||
#### 通过GitHub Action支持（自动化且始终保持最新）
|
||||
#### 通过 GitHub Action 支持（自动化且始终保持最新）
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[阿拉伯语](../ar/README.md) | [孟加拉语](../bn/README.md) | [保加利亚语](../bg/README.md) | [缅甸语](../my/README.md) | [中文（简体）](./README.md) | [中文（繁体，香港）](../hk/README.md) | [中文（繁体，澳门）](../mo/README.md) | [中文（繁体，台湾）](../tw/README.md) | [克罗地亚语](../hr/README.md) | [捷克语](../cs/README.md) | [丹麦语](../da/README.md) | [荷兰语](../nl/README.md) | [爱沙尼亚语](../et/README.md) | [芬兰语](../fi/README.md) | [法语](../fr/README.md) | [德语](../de/README.md) | [希腊语](../el/README.md) | [希伯来语](../he/README.md) | [印地语](../hi/README.md) | [匈牙利语](../hu/README.md) | [印尼语](../id/README.md) | [意大利语](../it/README.md) | [日语](../ja/README.md) | [卡纳达语](../kn/README.md) | [韩语](../ko/README.md) | [立陶宛语](../lt/README.md) | [马来语](../ms/README.md) | [马拉雅拉姆语](../ml/README.md) | [马拉地语](../mr/README.md) | [尼泊尔语](../ne/README.md) | [尼日利亚皮钦语](../pcm/README.md) | [挪威语](../no/README.md) | [波斯语（法尔西语）](../fa/README.md) | [波兰语](../pl/README.md) | [葡萄牙语（巴西）](../br/README.md) | [葡萄牙语（葡萄牙）](../pt/README.md) | [旁遮普语（古木基文）](../pa/README.md) | [罗马尼亚语](../ro/README.md) | [俄语](../ru/README.md) | [塞尔维亚语（西里尔文）](../sr/README.md) | [斯洛伐克语](../sk/README.md) | [斯洛文尼亚语](../sl/README.md) | [西班牙语](../es/README.md) | [斯瓦希里语](../sw/README.md) | [瑞典语](../sv/README.md) | [他加禄语（菲律宾语）](../tl/README.md) | [泰米尔语](../ta/README.md) | [泰卢固语](../te/README.md) | [泰语](../th/README.md) | [土耳其语](../tr/README.md) | [乌克兰语](../uk/README.md) | [乌尔都语](../ur/README.md) | [越南语](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[阿拉伯语](../ar/README.md) | [孟加拉语](../bn/README.md) | [保加利亚语](../bg/README.md) | [缅甸语](../my/README.md) | [中文（简体）](./README.md) | [中文（繁体，香港）](../hk/README.md) | [中文（繁体，澳门）](../mo/README.md) | [中文（繁体，台湾）](../tw/README.md) | [克罗地亚语](../hr/README.md) | [捷克语](../cs/README.md) | [丹麦语](../da/README.md) | [荷兰语](../nl/README.md) | [爱沙尼亚语](../et/README.md) | [芬兰语](../fi/README.md) | [法语](../fr/README.md) | [德语](../de/README.md) | [希腊语](../el/README.md) | [希伯来语](../he/README.md) | [印地语](../hi/README.md) | [匈牙利语](../hu/README.md) | [印尼语](../id/README.md) | [意大利语](../it/README.md) | [日语](../ja/README.md) | [卡纳达语](../kn/README.md) | [韩语](../ko/README.md) | [立陶宛语](../lt/README.md) | [马来语](../ms/README.md) | [马拉雅拉姆语](../ml/README.md) | [马拉地语](../mr/README.md) | [尼泊尔语](../ne/README.md) | [尼日利亚皮钦语](../pcm/README.md) | [挪威语](../no/README.md) | [波斯语（法尔西语）](../fa/README.md) | [波兰语](../pl/README.md) | [葡萄牙语（巴西）](../br/README.md) | [葡萄牙语（葡萄牙）](../pt/README.md) | [旁遮普语（古木基文）](../pa/README.md) | [罗马尼亚语](../ro/README.md) | [俄语](../ru/README.md) | [塞尔维亚语（西里尔文）](../sr/README.md) | [斯洛伐克语](../sk/README.md) | [斯洛文尼亚语](../sl/README.md) | [西班牙语](../es/README.md) | [斯瓦希里语](../sw/README.md) | [瑞典语](../sv/README.md) | [他加禄语（菲律宾语）](../tl/README.md) | [泰米尔语](../ta/README.md) | [泰卢固语](../te/README.md) | [泰语](../th/README.md) | [土耳其语](../tr/README.md) | [乌克兰语](../uk/README.md) | [乌尔都语](../ur/README.md) | [越南语](../vi/README.md)
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**如果您希望支持其他语言，请查看[这里](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**如果您希望支持其他翻译语言，请参考 [此处](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## 加入社区
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## 加入社区
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## 您将学到什么
|
||||
## 您将学到什么
|
||||
|
||||
**[课程思维导图](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[课程思维导图](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
在本课程中，您将学习：
|
||||
在本课程中，您将学习：
|
||||
|
||||
* 人工智能的不同方法，包括“经典”的符号方法，如**知识表示**和推理（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
|
||||
* **神经网络**和**深度学习**，它们是现代人工智能的核心。我们将使用代码演示这些重要主题的概念，涉及两个最流行的框架——[TensorFlow](http://Tensorflow.org)和[PyTorch](http://pytorch.org)。
|
||||
* **神经网络架构**，用于处理图像和文本。我们将涵盖一些最新模型，但可能略微缺乏最前沿的内容。
|
||||
* 不太流行的人工智能方法，例如**遗传算法**和**多智能体系统**。
|
||||
* 人工智能的不同方法，包括“经典”的符号方法，涉及**知识表示**和推理（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
|
||||
* **神经网络**和**深度学习**，它们是现代 AI 的核心。我们将通过两种最流行的框架 [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的代码来说明这些重要主题背后的概念。
|
||||
* 用于处理图像和文本的**神经架构**。我们将涵盖一些最新的模型，但可能对最前沿的内容有所欠缺。
|
||||
* 不太流行的 AI 方法，例如**遗传算法**和**多智能体系统**。
|
||||
|
||||
本课程不会涵盖以下内容：
|
||||
本课程不包括以下内容：
|
||||
|
||||
> [在我们的Microsoft Learn集合中找到所有额外资源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [在 Microsoft Learn 集合中找到本课程的所有额外资源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **人工智能在商业中的应用案例**。建议学习Microsoft Learn上的[面向商业用户的人工智能介绍](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)学习路径，或与[INSEAD](https://www.insead.edu/)合作开发的[AI商业学校](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
|
||||
* **经典机器学习**，这在我们的[机器学习入门课程](http://github.com/Microsoft/ML-for-Beginners)中有详细描述。
|
||||
* 使用**[认知服务](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**构建的实际人工智能应用。建议从Microsoft Learn模块开始，例如[视觉](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然语言处理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI服务的生成式AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**等。
|
||||
* 特定的机器学习**云框架**，例如[Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)或[Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建议学习[使用Azure Machine Learning构建和操作机器学习解决方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum)和[使用Azure Databricks构建和操作机器学习解决方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)学习路径。
|
||||
* **对话式人工智能**和**聊天机器人**。有一个单独的[创建对话式人工智能解决方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)学习路径，您还可以参考[这篇博客文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)了解更多细节。
|
||||
* **深度学习背后的数学原理**。建议阅读Ian Goodfellow、Yoshua Bengio和Aaron Courville的[深度学习](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，该书也可在线访问：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
* **AI 在商业中的应用案例**。建议学习 Microsoft Learn 上的 [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 学习路径，或与 [INSEAD](https://www.insead.edu/) 合作开发的 [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
|
||||
* **经典机器学习**，这在我们的 [机器学习入门课程](http://github.com/Microsoft/ML-for-Beginners) 中有详细描述。
|
||||
* 使用 **[认知服务](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 构建的实际 AI 应用。为此，我们建议从 Microsoft Learn 的模块开始，例如 [视觉](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然语言处理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI 服务的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等。
|
||||
* 特定的 ML **云框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建议使用 [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 学习路径。
|
||||
* **对话式 AI** 和 **聊天机器人**。有一个单独的 [创建对话式 AI 解决方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 学习路径，您还可以参考 [这篇博客文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 了解更多细节。
|
||||
* **深度学习的数学原理**。为此，我们推荐 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，也可以在线访问 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
|
||||
|
||||
如果您想轻松了解_云中的人工智能_主题，可以考虑学习[在Azure上开始人工智能](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)学习路径。
|
||||
如果您想轻松了解 _云端 AI_ 主题，可以考虑学习 [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 学习路径。
|
||||
|
||||
# 内容
|
||||
# 内容
|
||||
|
||||
| | 课程链接 | PyTorch/Keras/TensorFlow | 实验室 |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [课程设置](./lessons/0-course-setup/setup.md) | [设置您的开发环境](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**人工智能简介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [人工智能的介绍与历史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **符号人工智能** |
|
||||
| 02 | [知识表示与专家系统](./lessons/2-Symbolic/README.md) | [专家系统](./lessons/2-Symbolic/Animals.ipynb) / [本体论](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念图](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**神经网络简介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [笔记本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [实验](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [多层感知器及创建自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [笔记本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [实验](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架介绍（PyTorch/TensorFlow）及过拟合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [实验](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| | 课程链接 | PyTorch/Keras/TensorFlow | 实验室 |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [课程设置](./lessons/0-course-setup/setup.md) | [设置开发环境](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI 简介**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI 的介绍与历史](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **符号 AI** |
|
||||
| 02 | [知识表示与专家系统](./lessons/2-Symbolic/README.md) | [专家系统](./lessons/2-Symbolic/Animals.ipynb) / [本体论](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念图](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**神经网络简介**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [感知机](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [笔记本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [实验](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [多层感知机及创建我们自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [笔记本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [实验](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [框架简介（PyTorch/TensorFlow）及过拟合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [实验](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**计算机视觉**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [探索 Microsoft Azure 上的计算机视觉](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [计算机视觉简介. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [笔记本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [实验](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [卷积神经网络](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN架构](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [实验](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
|
|
@ -93,7 +93,7 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
| 15 | [语言建模. 训练自己的嵌入](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [实验](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [循环神经网络](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [生成循环网络](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [实验](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformer. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [命名实体识别](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [实验](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [大型语言模型、提示编程和少样本任务](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **其他AI技术** || |
|
||||
|
|
@ -108,35 +108,35 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
## 每节课包含
|
||||
|
||||
* 预读材料
|
||||
* 可执行的 Jupyter 笔记本，通常针对特定框架（**PyTorch** 或 **TensorFlow**）。可执行笔记本还包含大量理论内容，因此要理解主题，至少需要学习一个版本的笔记本（PyTorch 或 TensorFlow）。
|
||||
* **实验**：部分主题提供实验，您可以尝试将所学知识应用于具体问题。
|
||||
* 部分章节包含链接到 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模块，涵盖相关主题。
|
||||
* 可执行的Jupyter笔记本，通常针对特定框架（**PyTorch**或**TensorFlow**）。可执行笔记本还包含大量理论内容，因此要理解主题，至少需要学习一个版本的笔记本（PyTorch或TensorFlow）。
|
||||
* **实验**：部分主题提供实验，您可以尝试将所学内容应用于具体问题。
|
||||
* 部分章节包含链接到[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)模块，涵盖相关主题。
|
||||
|
||||
## 入门指南
|
||||
|
||||
### 🎯 AI新手？从这里开始！
|
||||
|
||||
如果您对AI完全陌生，并希望快速上手实践，请查看我们的 [**面向初学者的示例**](./examples/README.md)！这些示例包括：
|
||||
如果您对AI完全陌生，并希望快速上手实践，请查看我们的[**面向初学者的示例**](./examples/README.md)！这些示例包括：
|
||||
|
||||
- 🌟 **Hello AI World** - 您的第一个AI程序（模式识别）
|
||||
- 🧠 **简单神经网络** - 从零开始构建一个神经网络
|
||||
- 🖼️ **图像分类器** - 带详细注释的图像分类器
|
||||
- 🖼️ **图像分类器** - 带有详细注释的图像分类器
|
||||
- 💬 **文本情感分析** - 分析正面/负面文本
|
||||
|
||||
这些示例旨在帮助您在深入学习完整课程之前了解 AI 概念。
|
||||
这些示例旨在帮助您在深入学习完整课程之前理解 AI 概念。
|
||||
|
||||
### 📚 完整课程设置
|
||||
|
||||
- 我们创建了一个[设置课程](./lessons/0-course-setup/setup.md)，帮助您设置开发环境。- 对于教育工作者，我们还创建了一个[课程设置课程](./lessons/0-course-setup/for-teachers.md)！
|
||||
- 如何[在 VSCode 或 Codepace 中运行代码](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
按照以下步骤操作：
|
||||
请按照以下步骤操作：
|
||||
|
||||
分叉仓库：点击本页面右上角的“Fork”按钮。
|
||||
|
||||
克隆仓库：`git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
别忘了给这个仓库点个星星（🌟），方便以后找到。
|
||||
别忘了给这个仓库点星标 (🌟)，方便以后找到。
|
||||
|
||||
## 认识其他学习者
|
||||
|
||||
|
|
@ -146,11 +146,11 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
## 测验
|
||||
|
||||
> **关于测验的说明**：所有测验都包含在 etc\quiz-app 文件夹中的 Quiz-app 文件夹中，或者[在线访问](https://ff-quizzes.netlify.app/)。它们在课程中有链接，测验应用可以本地运行或部署到 Azure；请按照 `quiz-app` 文件夹中的说明操作。测验正在逐步本地化。
|
||||
> **关于测验的说明**：所有测验都包含在 etc\quiz-app 文件夹中的 Quiz-app 文件夹中，或[在线访问](https://ff-quizzes.netlify.app/)。它们在课程中有链接，测验应用可以本地运行或部署到 Azure；请按照 `quiz-app` 文件夹中的说明操作。测验正在逐步本地化。
|
||||
|
||||
## 寻求帮助
|
||||
## 需要帮助
|
||||
|
||||
您有建议或发现拼写或代码错误吗？请提交一个 issue 或创建一个 pull request。
|
||||
您有建议或发现拼写或代码错误吗？请提交问题或创建拉取请求。
|
||||
|
||||
## 特别感谢
|
||||
|
||||
|
|
@ -164,41 +164,47 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
我们的团队还制作了其他课程！查看以下内容：
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 生成式 AI 系列
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### 核心学习
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot 系列
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 获取帮助
|
||||
|
||||
如果您遇到困难或对构建 AI 应用有任何疑问，请加入关于 MCP 的讨论，与其他学习者和经验丰富的开发者交流。这是一个支持性的社区，欢迎提问并自由分享知识。
|
||||
如果您遇到困难或对构建 AI 应用有任何疑问，请加入学习者和经验丰富的开发者的讨论。这里是一个支持性的社区，欢迎提问并自由分享知识。
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
|
|
@ -210,5 +216,5 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**免责声明**：
|
||||
本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保翻译的准确性，但请注意，自动翻译可能包含错误或不准确之处。原始语言的文档应被视为权威来源。对于重要信息，建议使用专业人工翻译。我们对因使用此翻译而产生的任何误解或误读不承担责任。
|
||||
本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保准确性，但请注意，自动翻译可能包含错误或不准确之处。应以原始语言的文档为权威来源。对于关键信息，建议使用专业人工翻译。我们对因使用本翻译而引起的任何误解或误读不承担责任。
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
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Reference in New Issue