232 lines
28 KiB
Markdown
232 lines
28 KiB
Markdown
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
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[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
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[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
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[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
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[](http://makeapullrequest.com)
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[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
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[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
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[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
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[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
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[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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[](https://discord.gg/nTYy5BXMWG)
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# Umetna inteligenca za začetnike - učni načrt
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||
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|:---:|
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| AI za začetnike - _Sketchnote avtorice [@girlie_mac](https://twitter.com/girlie_mac)_ |
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Raziskujte svet **umetne inteligence** (UI) z našim 12-tedenskim, 24-urnim učnim načrtom! Vključuje praktične lekcije, kvize in laboratorijske vaje. Učni načrt je prijazen do začetnikov in pokriva orodja kot sta TensorFlow in PyTorch, ter tudi etiko v UI.
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### 🌐 Podpora za več jezikov
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#### Podprto preko GitHub Action (avtomatizirano in vedno posodobljeno)
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
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[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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) | [Khmer](../km/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)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-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)
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> **Raje klonirate lokalno?**
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>
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> Ta repozitorij vsebuje več kot 50 prevodov jezikov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite sparse checkout:
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>
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> **Bash / macOS / Linux:**
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> ```bash
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> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
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> cd AI-For-Beginners
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> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
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> ```
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>
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> **CMD (Windows):**
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> ```cmd
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> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
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> cd AI-For-Beginners
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> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
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> ```
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>
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> To vam daje vse, kar potrebujete za dokončanje tečaja s precej hitrejšo prenosa.
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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**Če želite, da so podprti dodatni prevodni jeziki, so navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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## Pridružite se skupnosti
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[](https://discord.gg/nTYy5BXMWG)
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## Kaj se boste naučili
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**[Miselnoposnetkovna shema tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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V tem učnem načrtu boste spoznali:
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* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simboličnim pristopom s **predstavitvijo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **Nevronske mreže** in **globoko učenje**, ki sta osnova sodobne umetne inteligence. Koncepte teh pomembnih tem bomo ponazorili z uporabo kode v dveh najbolj priljubljenih okvirjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
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* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo novejše modele, a morda bomo nekoliko manj aktualni glede najmodernejših modelov.
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* Manj priljubljene pristope k umetni inteligenci, kot so **genetski algoritmi** in **sistemi več agentov**.
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Česa ta učni načrt ne vključuje:
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> [Najdite 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)
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* Poslovni primeri uporabe **UI v podjetništvu**. Razmislite o sprejetju učne poti [Uvod v UI za uporabnike iz podjetij](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, ali [AI poslovna šola](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvita v sodelovanju z [INSEAD](https://www.insead.edu/).
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* **Klasično strojno učenje**, ki je dobro opisano v našem [učnem načrtu Strojno učenje za začetnike](http://github.com/Microsoft/ML-for-Beginners).
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* Praktične aplikacije umetne inteligence zgrajene z uporabo **[Kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [videnje](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 UI 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.
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* Specifični **oblaki računalništva v oblaku 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 [Gradnja 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 [Gradnja 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).
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* **Pogovorna UI** in **čatboti**. Obstaja ločena učna pot [Ustvarjanje rešitev pogovorne UI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako lahko za podrobnosti pogledate [ta blog zapis](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
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* **Globoka matematika** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je prav tako dostopna na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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Za lahek uvod v teme _UI v oblaku_ lahko razmislite o sprejetju učne poti [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).
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# Vsebina
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| | Povezava do lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
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| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
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| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavite svoje razvojno okolje](./lessons/0-course-setup/how-to-run.md) | |
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| I | [**Uvod v UI**](./lessons/1-Intro/README.md) | | |
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| 01 | [Uvod in zgodovina UI](./lessons/1-Intro/README.md) | - | - |
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| II | **Simbolična UI** |
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| 02 | [Predstavitev 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) | |
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| III | [**Uvod v nevronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
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| 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) |
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| 04 | [Večplastni perceptron in ustvarjanje lastnega ogrodja](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Zvezek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
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| 05 | [Uvod v ogrodja (PyTorch/TensorFlow) in prekomerno prileganje](./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) |
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| 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)| [Razišči računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
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| 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) |
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| 07 | [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitekture](./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) |
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| 08 | [Predhodno naučene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki 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) |
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| 09 | [Avtoenkoderji in VAE-ji](./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 | [Generativne sovražne 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) | |
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| 11 | [Zaznavanje predmetov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
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| 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) | |
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| 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) | [Razišči obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
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| 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) | |
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| 14 | [Semantične vgradnje besed. 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) | |
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| 15 | [Modeliranje jezika. Treniraš svoje vgradnje](./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) |
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| 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) | |
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| 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) |
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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 | [Prepoznavanje imenovanih entitet](./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) |
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| 20 | [Veliki jezikovni modeli, programiranje pozivov in opravila z malo podatki](./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 | **Drugi tehniški pristopi v umetni inteligenci** || |
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| 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Zvezek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
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| 22 | [Globoko okrepljeno 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) |
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| 23 | [Sistemi z več agenti](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
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| VII | **Etika umetne inteligence** | | |
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| 24 | [Etika umetne inteligence in odgovorna umetna inteligenca](./lessons/7-Ethics/README.md) | [Microsoft Learn: Načela odgovorne umetne inteligence](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
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| IX | **Dodatki** | | |
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| 25 | [Mreže z več modalnostmi, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
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## Vsaka lekcija vsebuje
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* Gradivo za predhodno branje
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* Izvedljivi Jupyter zvezki, ki so pogosto specifični za okvir (**PyTorch** ali **TensorFlow**). Izvedljivi zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate, da bi razumeli temo, prebrati vsaj eno različico zvezka (bodisi PyTorch ali TensorFlow).
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* **Laboratorijske vaje** za nekatere teme, ki vam omogočajo, da preizkusite uporabo naučenega gradiva na določen problem.
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* Nekateri razdelki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki obravnavajo sorodne teme.
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## Začetek
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### 🎯 Nov v AI? Začni tukaj!
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Če ste povsem novi v AI in želite hitre, praktične primere, si oglejte naše [**Primere za začetnike**](./examples/README.md)! Ti vključujejo:
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- 🌟 **Pozdravljen AI svet** - Vaš prvi AI program (prepoznavanje vzorcev)
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- 🧠 **Preprosta nevronska mreža** - Zgradite nevronsko mrežo iz nič
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- 🖼️ **Klasifikator slik** - Klasificirajte slike z podrobnimi komentarji
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- 💬 **Čustvena analiza besedil** - Analizirajte pozitivna/negativna besedila
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Ti primeri so zasnovani, da vam pomagajo razumeti pojme AI, preden se poglobite v celoten kurikulum.
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### 📚 Celotna namestitev kurikuluma
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- Pripravili smo [lekcijo za nastavitev](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi razvojnega okolja. - Za učitelje smo pripravili tudi [lekcijo za nastavitev kurikuluma](./lessons/0-course-setup/for-teachers.md)!
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- Kako [zaženete kodo v VSCode ali Codespace](./lessons/0-course-setup/how-to-run.md)
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Sledite tem korakom:
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Razvejite repozitorij: Kliknite gumb "Fork" v zgornjem desnem kotu te strani.
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Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
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Ne pozabite dati zvezdice (🌟) temu repozitoriju, da ga boste lažje našli pozneje.
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## Spoznajte druge učence
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Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in se povežete z drugimi učenci tega tečaja ter pridobite podporo.
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Če imate povratne informacije o izdelku ali vprašanja med razvojem, obiščite naš [Azure AI Foundry Developerski forum](https://aka.ms/foundry/forum).
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## Kvizi
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> **Opomba o kvizih**: Vsi kvizi so v mapi Quiz-app na poti etc\quiz-app ali [na spletu tukaj](https://ff-quizzes.netlify.app/). Povezani so iz lekcij, aplikacijo za kvize lahko zaženete lokalno ali namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma jih lokaliziramo.
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## Potrebna pomoč
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Imate predloge ali ste našli pravopisne ali kodne napake? Pojasnite težavo ali ustvarite pull request.
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## Posebna zahvala
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* **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), mag. znanosti
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* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), mag. znanosti
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* **🎨 Ilustrator skic:** [Tomomi Imura](https://twitter.com/girlie_mac)
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* **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
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* **🙏 Glavni sodelavci:** [Evgenii Pishchik](https://github.com/Pe4enIks)
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## Drugi kurikulumi
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Naša ekipa pripravlja tudi druge kurikulume! Oglejte si:
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<!-- CO-OP TRANSLATOR OTHER COURSES START -->
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### LangChain
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[](https://aka.ms/langchain4j-for-beginners)
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[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
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[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
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---
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### Azure / Edge / MCP / Agent
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[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
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---
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### Serija generativne AI
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[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
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[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
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[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
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[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
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---
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### Osnovno učenje
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[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
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[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
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---
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### Serija Copilot
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[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
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[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
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<!-- CO-OP TRANSLATOR OTHER COURSES END -->
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## Pridobivanje pomoči
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Če se zataknete ali imate vprašanja o izdelavi AI aplikacij, se pridružite drugim učencem in izkušenim razvijalcem v razpravah o MCP. Je podporna skupnost, kjer so vprašanja dobrodošla in se znanje prosto deli.
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[](https://discord.gg/nTYy5BXMWG)
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Če imate povratne informacije o izdelku ali napake med razvojem, obiščite:
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[](https://aka.ms/foundry/forum)
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---
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<!-- CO-OP TRANSLATOR DISCLAIMER START -->
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**Omejitev odgovornosti**:
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Ta dokument je bil preveden z uporabo AI prevajalske storitve [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, upoštevajte, da avtomatizirani prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v svojem izvirnem jeziku naj se šteje kot avtoritativni vir. Za kritične informacije priporočamo strokovni človeški prevod. Nismo odgovorni za morebitna nesporazumevanja ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda.
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<!-- CO-OP TRANSLATOR DISCLAIMER END --> |