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CO_OP_TRANSLATOR_METADATA:
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{
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"original_hash": "14816e97d79b296c87811724f7785923",
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"translation_date": "2026-01-01T12:20:09+00:00",
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"translation_date": "2026-01-05T15:51:15+00:00",
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"source_file": "README.md",
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"language_code": "he"
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}
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[](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/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/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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[](https://discord.gg/nTYy5BXMWG)
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# בינה מלאכותית למתחילים - תוכנית לימודים
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|:---:|
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| AI למתחילים - _רישום סקיצה מאת [@girlie_mac](https://twitter.com/girlie_mac)_ |
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| בינה מלאכותית למתחילים - _רישום סכמטי מאת [@girlie_mac](https://twitter.com/girlie_mac)_ |
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גלו את עולם ה-**בינה המלאכותית** (AI) עם תכנית הלימודים שלנו בת 12 שבועות ו-24 שיעורים! היא כוללת שיעורים מעשיים, חידונים ומעבדות. התכנית ידידותית למתחילים ומכסה כלים כמו TensorFlow ו-PyTorch, וכן סוגיות אתיות בבינה מלאכותית
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חקרו את עולם **הבינה המלאכותית** (AI) עם תוכנית הלימודים שלנו ל-12 שבועות ו-24 שיעורים! כוללת שיעורים מעשיים, חידונים ומעבדות. תוכנית הלימודים ידידותית למתחילים ומכסה כלים כמו TensorFlow ו-PyTorch, וכן אתיקה בבינה מלאכותית
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### 🌐 תמיכה בריבוי שפות
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### 🌐 תמיכה רב-שפתית
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#### נתמך באמצעות GitHub Action (אוטומטי ותמיד מעודכן)
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
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[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (מפושטת)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טאיוואן)](../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) | [קנדה](../kn/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מאליאלאם](../ml/README.md) | [מרטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [פיג'ין ניגרי](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסי)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פנג'אבי (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) | [תאילנדית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md)
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[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (מפושטת)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טאיוואן)](../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) | [קאנדה](../kn/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מאלאלאי](../ml/README.md) | [מרטהית](../mr/README.md) | [נפאלי](../ne/README.md) | [ניגריאנית פידג'ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסי)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פונג'אבית (גורמוכי)](../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) | [טגלוג (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) | [ווייטנאמית](../vi/README.md)
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> **מעדיפים לשכפל מקומית?**
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> מאגר זה כולל מעל 50 תרגומים לשפות שונות, מה שמגדיל משמעותית את גודל ההורדה. לשכפול בלי תרגומים, השתמשו ב-sparse checkout:
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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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> זה נותן לכם את כל מה שצריך כדי להשלים את הקורס במהירות הורדה גבוהה יותר.
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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**אם ברצונך ששפות תרגום נוספות יתמכו, השפות הנתמכות מפורטות [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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**אם תרצו שיתמכו בשפות נוספות לתרגום, הן רשומות [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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## הצטרפו לקהילה
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[](https://discord.gg/nTYy5BXMWG)
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[](https://discord.gg/nTYy5BXMWG)
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## מה תלמדו
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**[מפת מושגים של הקורס](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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**[מפה מנטלית של הקורס](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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בתכנית זו תלמדו:
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בתוכנית הלימודים הזו תלמדו:
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* גישות שונות ליישומי בינה מלאכותית, כולל הגישה הסימבולית "הטובה והישנה" עם **ייצוג ידע** והסקת מסקנות ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **רשתות נוירונים** ו**למידה עמוקה**, שהן בליבת הבינה המודרנית. נמחיש את המושגים מאחורי הנושאים החשובים הללו באמצעות קוד בשתי המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו[PyTorch](http://pytorch.org).
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* **ארכיטקטורות נוירוניות** לעבודה עם תמונות וטקסט. נכסה מודלים עדכניים, אך ייתכן שנחסר קצת לגבי החידושים העדכניים ביותר.
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* גישות פחות פופולריות בבינה מלאכותית, כגון **אלגוריתמים גנטיים** ו**מערכות רב-סוכניות**.
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* גישות שונות לבינה מלאכותית, כולל הגישה הסימבולית "הישנה והטובה" עם **ייצוג ידע** והסקת מסקנות ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **רשתות נוירונים** ו**למידה עמוקה**, שהן לב ליבה של בינה מלאכותית מודרנית. נמחיש את הרעיונות מאחורי הנושאים החשובים האלה באמצעות קוד בשתי המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו-[PyTorch](http://pytorch.org).
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* **ארכיטקטורות נוירוניות** לעבודה עם תמונות וטקסט. נכסה מודלים עדכניים אך ייתכן שנחסר קצת בסטייט-אוף-דה-ארט.
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* גישות פחות פופולריות ב-AI, כגון **אלגוריתמים גנטיים** ו**מערכות רב-סוכניים**.
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מה שלא נכסה בתכנית זו:
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מה לא נכלול בתוכנית הלימודים הזו:
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> [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)
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> [מצאו את כל המשאבים הנוספים לקורס זה באוסף שלנו ב-Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
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* מקרי שימוש של **בינה מלאכותית בעסקים**. שקלו לעבור את מסלול הלמידה [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף [INSEAD](https://www.insead.edu/).
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* **למידת מכונה קלאסית**, שמתוארת היטב בסילבוס שלנו [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
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* יישומי בינה מלאכותית מעשיים שנבנו באמצעות **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, אנו ממליצים להתחיל במודולים של Microsoft Learn עבור [ראיית מחשב](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), **[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)** ואחרים.
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* מסגרות ענן ספציפיות ל-ML, כגון [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 [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) ו-[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).
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* **בינה שיחתית (Conversational AI)** ובוטים. יש מסלול למידה נפרד [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), ואתם יכולים גם לעיין ב[פוסט הבלוג הזה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים.
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* **מתמטיקה עמוקה** שמאחורי הלמידה העמוקה. לשם כך, אנו ממליצים על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת Ian Goodfellow, Yoshua Bengio ו-Aaron Courville, שהוא גם זמין באינטרנט ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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* מקרים עסקיים של שימוש ב-**AI בעסקים**. שקלו לקחת את מסלול הלמידה [מבוא ל-AI למשתמשים עסקיים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/).
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* **למידת מכונה קלאסית**, המתוארת היטב בתוכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners).
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* 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 מודולים ב-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.
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* מסגרות ענן ספציפיות ללמידת מכונה, כגון [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 למידה של [בניית פתרונות למידת מכונה והפעלתם 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 והפעלתם עם 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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* **בינה מלאכותית שיחתית** ו**צ'אטבוטים**. יש מסלול למידה נפרד [יצירת פתרונות בינה שיחתית](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), וניתן לפנות גם ל-[פוסט בבלוג זה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים.
|
||||
* **מתמטיקה עמוקה** מאחורי הלמידה העמוקה. לשם כך, אנו ממליצים על [למידה עמוקה](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת איאן גודפלו, יושוע בנג'יו ואארון קורוויל, הזמין גם ברשת ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
להיכרות עדינה עם נושאי _בינה מלאכותית בענן_ תוכלו לשקול את מסלול הלמידה [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).
|
||||
להיכרות רכה עם נושאי _AI בענן_ ניתן לשקול לקחת את מסלול הלמידה [התחילו עם בינה מלאכותית ב-Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# תוכן
|
||||
|
||||
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | קישור לשיעור | PyTorch/Keras/TensorFlow | מעבדה |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [הגדרות 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 שלך](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**מבוא לבינה מלאכותית**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [הקדמה והיסטוריה של הבינה המלאכותית](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | ** **בינה סימבולית** |
|
||||
| 01 | [הקדמה והיסטוריה של בינה מלאכותית](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **בינה מלאכותית סימבולית** |
|
||||
| 02 | [ייצוג ידע ומערכות מומחים](./lessons/2-Symbolic/README.md) | [מערכות מומחים](./lessons/2-Symbolic/Animals.ipynb) / [אונטולוגיה](./lessons/2-Symbolic/FamilyOntology.ipynb) /[גרף מושגים](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**מבוא לרשתות עצביות**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [פרספטרון](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [מחברת](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [פרספטרון רב-שכבתי ויצירת מסגרת משלנו](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [מחברת](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [מבוא למסגרות (PyTorch/TensorFlow) והתאמה-יתר](./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) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**ראייה ממוחשבת**](./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)| [חקור ראייה ממוחשבת ב-Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [מבוא לראייה ממוחשבת. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [מחברת](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [רשתות נוירוניות קונבולוציוניות](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ארכיטקטורות 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) | [מעבדה](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [רשתות מאומנות מראש ולמידת העברה](./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) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| III | [**מבוא לרשתות נוירונים**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [פרספתרון](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [מחברת](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [פרספתרון רב-שכבתי ויצירת מסגרות משלנו](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [מחברת](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [הקדמה למסגרות (PyTorch/TensorFlow) וoverfitting](./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) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**ראייה ממוחשבת**](./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)| [חקור ראייה ממוחשבת במייקרוסופט אזיור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [הקדמה לראייה ממוחשבת. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [מחברת](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [רשתות עצביות קונבולוציוניות](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ארכיטקטורות 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) | [מעבדה](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [רשתות מאומנות מראש ולמידת העברה](./lessons/4-ComputerVision/08-TransferLearning/README.md) ו[טכניקות אימון](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [אוטואנקודרים ו-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 | [רשתות מתחרות גנרטיביות והעברת סגנון אמנותית](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [רשתות GAN ולמידת סגנון אמנותי](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [זיהוי אובייקטים](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [מעבדה](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [פילוח סמנטי. 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 | [**עיבוד שפה טבעית**](./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) | [חקור עיבוד שפה טבעית ב-Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 12 | [סגמנטציה סמנטית. 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 | [**עיבוד שפה טבעית**](./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) | [חקור עיבוד שפה טבעית במייקרוסופט אזיור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [ייצוג טקסט. 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 | [הטמעות מילים סמנטיות. Word2Vec and 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 | [חיזוי שפה. אימון הטמעות משלך](./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) | [מעבדה](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [רשתות נוירוניות חוזרות](./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 | [רשתות חוזרות גנרטיביות](./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) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 14 | [הטמעות מילים סמנטיות. Word2Vec ו-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 | [מודל שפה. אימון הטמעות משלך](./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) | [מעבדה](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [רשתות עצביות רקורסיביות](./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 | [רשתות רקורסיביות גנרטיביות](./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) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 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](./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 שפתיים גדולים, כתיבת פרומפטים 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 | **שיטות AI נוספות** || |
|
||||
| 19 | [זיהוי ישויות מוכרות](./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 | [מודלי שפה גדולים, תכנות פרומפטים ומשימות בודדות](./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 בינה מלאכותית 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) |
|
||||
| 23 | [מערכות רב-סוכניות](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **אתיקה של בינה מלאכותית** | | |
|
||||
| 24 | [אתיקה של בינה מלאכותית ובינה אחראית](./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 | **חומרים נוספים** | | |
|
||||
| 25 | [רשתות רב-מודליות, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 23 | [מערכות רב-סוכנים](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **אתיקה בבינה מלאכותית** | | |
|
||||
| 24 | [אתיקה בבינה מלאכותית ובינה מלאכותית אחראית](./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-מודל, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## כל שיעור מכיל
|
||||
|
||||
* חומרי קריאה מקדימים
|
||||
* מחברות Jupyter ניתנות להרצה, שלעיתים ספציפיות למסגרת (**PyTorch** או **TensorFlow**). המחברת הניתנת להרצה מכילה גם הרבה חומר תיאורטי, לכן כדי להבין את הנושא עליך לעבור לפחות על גרסה אחת של המחברת (או PyTorch או TensorFlow).
|
||||
* **מעבדות** זמינות עבור נושאים מסוימים, שמעניקות לך הזדמנות לנסות ליישם את החומר שלמדת על בעיה מסוימת.
|
||||
* בחלק מהסעיפים יש קישורים ל-[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) מודולים המכסים נושאים קשורים.
|
||||
* חומר לקריאה מוקדמת
|
||||
* מחברות Jupyter הניתנות להרצה, שלעיתים קרובות מותאמות למסגרת הספציפית (**PyTorch** או **TensorFlow**). במחברת הניתנת להרצה יש גם הרבה חומר תיאורטי, לכן כדי להבין את הנושא יש לעבור לפחות על גרסה אחת של המחברת (או PyTorch או TensorFlow).
|
||||
* **מעבדות** זמינות בכמה נושאים, שמאפשרות לך לנסות ליישם את החומר שלמדת על בעיה ספציפית.
|
||||
* בחלק מהסעיפים יש קישורים ל[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) המכסים נושאים קשורים.
|
||||
|
||||
## איך להתחיל
|
||||
## התחלה
|
||||
|
||||
### 🎯 חדש בבינה מלאכותית? התחל כאן!
|
||||
|
||||
אם אתם חדשים לחלוטין בבינה מלאכותית ורוצים דוגמאות מעשיות ומהירות, עיינו ב-[**דוגמאות ידידותיות למתחילים**](./examples/README.md)! אלה כוללות:
|
||||
אם אתה חדש לחלוטין בבינה מלאכותית ורוצה דוגמאות מהירות, מעשיות, עיין ב[**דוגמאות ידידותיות למתחילים**](./examples/README.md)! הן כוללות:
|
||||
|
||||
- 🌟 **שלום עולם ב-AI** - התוכנית הראשונה שלך ב-AI (זיהוי דפוסים)
|
||||
- 🧠 **רשת נוירונית פשוטה** - בניית רשת נוירונית מאפס
|
||||
- 🖼️ **מסווג תמונות** - סיווג תמונות עם הסברים מפורטים
|
||||
- 💬 **רגשות בטקסט** - נתח טקסט חיובי/שלילי
|
||||
- 🌟 **שלום עולם בינה מלאכותית** - תוכנית הבינה המלאכותית הראשונה שלך (זיהוי תבניות)
|
||||
- 🧠 **רשת עצבית פשוטה** - בניית רשת עצבית מאפס
|
||||
- 🖼️ **מסווג תמונות** - סיווג תמונות עם הערות מפורטות
|
||||
- 💬 **סנטימנט טקסט** - ניתוח טקסט חיובי/שלילי
|
||||
|
||||
דוגמאות אלה נועדו לעזור לך להבין מושגים בבינה מלאכותית לפני שמתחילים בתוכנית הלימודים המלאה.
|
||||
דוגמאות אלה נועדו לעזור לך להבין מושגי בינה מלאכותית לפני שקופצים לתכנית הלימודים המלאה.
|
||||
|
||||
### 📚 הגדרת תוכנית הלימודים המלאה
|
||||
### 📚 הגדרת תכנית לימודים מלאה
|
||||
|
||||
- We have created a [שיעור הגדרה](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - For Educators, we have created a [שיעור הגדרת תוכניות לימודים](./lessons/0-course-setup/for-teachers.md) for you too!
|
||||
- כיצד [להריץ את הקוד ב‑VSCode או ב‑Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לך בהגדרת סביבת הפיתוח שלך. - למורים, יצרנו גם [שיעור הגדרת תכנית לימודים](./lessons/0-course-setup/for-teachers.md)!
|
||||
- איך [להריץ את הקוד ב-VSCode או ב-Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
עקבו אחר הצעדים הבאים:
|
||||
עקוב אחר הצעדים הבאים:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
שכפל את המאגר: לחץ על כפתור "Fork" בפינה הימנית העליונה של דף זה.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
שכפל את המאגר: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
אל תשכחו לתת כוכב (🌟) למאגר זה כדי למצוא אותו בקלות מאוחר יותר.
|
||||
אל תשכח לסמן בכוכב (🌟) את המאגר הזה כדי למצוא אותו בקלות מאוחר יותר.
|
||||
|
||||
## הכירו לומדים אחרים
|
||||
|
||||
הצטרפו ל[שרת ה‑Discord הרשמי של AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) שלנו כדי לפגוש ולהתחבר עם לומדים אחרים שלוקחים קורס זה ולקבל תמיכה.
|
||||
הצטרף לשרת ה-Discord הרישמי שלנו ל-AI [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) לפגוש וליצור קשרים 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)
|
||||
אם יש לך משוב על מוצר או שאלות בזמן הבנייה בקר ב-[פורום מפתחי Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzes
|
||||
## חידונים
|
||||
|
||||
> **הערה על החידונים**: כל החידונים נמצאים בתיקיה Quiz-app ב-etc\quiz-app, או [מקוון כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים; אפליקציית החידון ניתנת להרצה מקומית או לפריסה ב‑Azure; עקבו אחר ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה.
|
||||
> **הערה לגבי חידונים**: כל החידונים נמצאים בספריית Quiz-app בתיקיה etc\quiz-app, או [במקוון כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים, אפליקציית החידון ניתן להריץ במקומי או לפרוס ל-Azure; עקוב אחר ההוראות בתיקיית `quiz-app`. הם מיועדים במדרגיות למקומיים.
|
||||
|
||||
## מחפשים עזרה
|
||||
## דרושה עזרה
|
||||
|
||||
יש לכם הצעות או שמצאתם שגיאות כתיב או שגיאות בקוד? פתחו Issue או הגישו Pull Request.
|
||||
יש לך הצעות או מצאת טעויות כתיב או קוד? פתח אתגר (issue) או צור בקשת משיכה (pull request).
|
||||
|
||||
## תודות מיוחדות
|
||||
## תודה מיוחדת
|
||||
|
||||
* **✍️ מחבר ראשי:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 עורכת:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 מאיירת סקצ'נוט:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ יוצרת החידונים:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 תורמים מרכזיים:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ מחבר ראשי:** [דימיטרי סושניקוב](http://soshnikov.com), PhD
|
||||
* **🔥 עורך:** [ג'ן לופר](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 מאייר סקטצ'נוט:** [טומומי אימורה](https://twitter.com/girlie_mac)
|
||||
* **✅ יוצר חידון:** [לטיפה בילו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 תורמים מרכזיים:** [איבגני פישצ'יק](https://github.com/Pe4enIks)
|
||||
|
||||
## תכניות לימוד אחרות
|
||||
## תכניות לימודים נוספות
|
||||
|
||||
הצוות שלנו יוצר תכניות לימוד נוספות! בדקו:
|
||||
הצוות שלנו מייצר תכניות לימודים נוספות! בדוק את:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](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)
|
||||
[](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)
|
||||
[](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)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## קבלת עזרה
|
||||
|
||||
אם נתקעת או יש לך שאלות לגבי בניית אפליקציות AI, הצטרף ללומדים אחרים ומפתחים מנוסים בדיונים על MCP. זו קהילה תומכת שבה שאלות מתקבלות בברכה והידע משתף בחופשיות.
|
||||
אם אתה נתקע או יש לך שאלות על בניית אפליקציות AI. הצטרף ללומדים אחרים ומפתחים מנוסים בדיונים על MCP. זוהי קהילה תומכת שבה שאלות מתקבלות בברכה והידע משתף בחופשיות.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
אם יש לכם משוב על המוצר או שגיאות בזמן הבנייה, בקרו ב:
|
||||
אם יש לך משוב על מוצר או שגיאות בזמן הבנייה בקר ב:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
הצהרת אחריות:
|
||||
מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית Co-op Translator (https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, שימו לב כי תרגומים אוטומטיים עלולים להכיל שגיאות או אי-דיוקים. יש להחשיב את הגרסה המקורית של המסמך בשפת המקור כמקור הסמכות. למידע קריטי מומלץ להיעזר בתרגום מקצועי על ידי מתרגם אנושי. איננו אחראים לכל אי-הבנות או פרשנויות שגויות העשויות לנבוע משימוש בתרגום זה.
|
||||
**כתב ויתור**:
|
||||
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 כי תרגומים אוטומטיים עלולים להכיל שגיאות או אי-דיוקים. יש להתייחס למסמך המקורי בשפתו המקורית כמקור המוסמך. למידע קריטי מומלץ להשתמש בשירותי תרגום מקצועיים בידי אדם. אנו לא אחראים לכל אי-הבנות או פרשנויות שגויות הנובעות מהשימוש בתרגום זה.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,168 +1,179 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T12:26:50+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:57:54+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "id"
|
||||
}
|
||||
-->
|
||||
[](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://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
|
||||
# Kecerdasan Buatan untuk Pemula - Kurikulum
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI Untuk Pemula - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ini mencakup pelajaran praktis, kuis, dan laboratorium. Kurikulum ini ramah pemula dan mencakup alat seperti TensorFlow dan PyTorch, serta etika dalam AI
|
||||
|
||||
Jelajahi dunia **Artificial Intelligence** (AI) dengan kurikulum 12-minggu, 24-pelajaran kami! Ini mencakup pelajaran praktis, kuis, dan lab. Kurikulum ini ramah-pemula dan mencakup alat seperti TensorFlow dan PyTorch, serta etika dalam AI
|
||||
|
||||
### 🌐 Dukungan Multi-Bahasa
|
||||
|
||||
#### Didukung melalui GitHub Action (Otomatis & Selalu Terbaru)
|
||||
|
||||
<!-- 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](./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)
|
||||
[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Macau)](../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) | [Nepali](../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 (Sirilik)](../sr/README.md) | [Slowakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipino)](../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)
|
||||
|
||||
> **Lebih Suka Clone Lokal?**
|
||||
|
||||
> Repositori ini mencakup lebih dari 50 terjemahan bahasa yang secara signifikan meningkatkan ukuran unduhan. Untuk kloning tanpa terjemahan, gunakan sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Ini memberi Anda semua yang Anda butuhkan untuk menyelesaikan kursus dengan unduhan yang jauh lebih cepat.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jika Anda ingin dukungan bahasa terjemahan tambahan, daftar bahasa yang didukung tercantum [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jika Anda ingin memiliki dukungan bahasa terjemahan tambahan yang didukung tercantum [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Bergabung dengan Komunitas
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Apa yang akan Anda pelajari
|
||||
|
||||
**[Peta Konsep Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Peta Pikiran Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Dalam kurikulum ini, Anda akan mempelajari:
|
||||
Dalam kurikulum ini, Anda akan belajar:
|
||||
|
||||
* Berbagai pendekatan pada Kecerdasan Buatan, termasuk pendekatan simbolik "lama yang baik" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Jaringan Syaraf** dan **Pembelajaran Dalam**, yang merupakan inti dari AI modern. Kami akan menjelaskan 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 Neural** untuk bekerja dengan gambar dan teks. Kami akan membahas model-model terbaru tetapi mungkin agak kurang pada state-of-the-art.
|
||||
* Pendekatan AI yang kurang populer, seperti **Algoritma Genetika** dan **Sistem Multi-Agen**.
|
||||
* Pendekatan berbeda terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://id.wikipedia.org/wiki/Kecerdasan_buatan_simbolik)).
|
||||
* **Jaringan Syaraf** dan **Pembelajaran Mendalam**, yang merupakan inti dari AI modern. Kami akan mengilustrasikan konsep di balik topik penting ini menggunakan kode dalam dua kerangka kerja paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org).
|
||||
* **Arsitektur Neural** untuk bekerja dengan gambar dan teks. Kami akan membahas model terbaru tetapi mungkin agak kurang dalam teknologi mutakhir.
|
||||
* Pendekatan AI yang kurang populer, seperti **Algoritma Genetik** dan **Sistem Multi-Agen**.
|
||||
|
||||
Yang tidak akan kami bahas dalam kurikulum ini:
|
||||
Apa yang tidak akan kami bahas dalam kurikulum ini:
|
||||
|
||||
> [Temukan 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)
|
||||
> [Temukan semua sumber daya tambahan untuk kursus ini dalam koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Kasus bisnis penggunaan **AI dalam Bisnis**. Pertimbangkan mengikuti jalur pembelajaran [Introduction to AI for business users](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/).
|
||||
* **Machine Learning Klasik**, yang dijelaskan dengan baik dalam [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* 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 [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 lainnya.
|
||||
* Kerangka **Cloud ML Spesifik**, 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 menggunakan jalur 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).
|
||||
* **Conversational AI** dan **Chat Bots**. Ada jalur pembelajaran terpisah [Create conversational AI solutions](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 dalam. 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 secara daring di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Kasus bisnis menggunakan **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 [Sekolah Bisnis AI](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 telah 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 mulai 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), **[AI Generatif 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 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 secara daring di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Untuk pengantar ringan ke topik _AI in the Cloud_ Anda dapat mempertimbangkan mengikuti Jalur 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 lembut ke topik _AI di Cloud_, Anda bisa 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
|
||||
|
||||
| | Tautan Pelajaran | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Siapkan Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Pengantar AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Pengantar dan Sejarah AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Atur Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Pengenalan AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Pengenalan dan Sejarah AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI Simbolik** |
|
||||
| 02 | [Representasi Pengetahuan dan Sistem Pakar](./lessons/2-Symbolic/README.md) | [Sistem Pakar](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Konsep](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Pengantar Jaringan Syaraf**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| III | [**Pengenalan Jaringan Syaraf**](./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 Multi-Lapis dan Membuat Kerangka Kerja 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 | [Pengantar Frameworks (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 | [**Visi 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)| [Jelajahi Visi Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Pengantar Visi 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 | [Jaringan Saraf Konvolusional](./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) and [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 | [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 | [Jaringan Adversarial Generatif & Transfer 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) | |
|
||||
| 04 | [Multi-Layered Perceptron dan Membuat Framework kami 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 | [Intro ke Frameworks (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 | [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 Pralatih 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 & Transfer 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) | |
|
||||
| 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) |
|
||||
| 12 | [Segmentasi Semantik. 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 | [**Pemrosesan Bahasa Alami**](./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) | [Jelajahi Pemrosesan Bahasa Alami di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representasi Teks. 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 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 Anda 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 | [Jaringan Saraf Rekuren](./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) |
|
||||
| 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) | [Jelajahi Natural Language Processing di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representasi Teks. 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 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 | [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 | [Pengenalan Entitas Bernama](./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) |
|
||||
| 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) | |
|
||||
| VI | **Teknik AI Lainnya** || |
|
||||
| 21 | [Algoritma Genetika](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Pembelajaran Penguatan Mendalam](./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 | [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 | [Sistem Multi-Agen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 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** | | |
|
||||
| IX | **Ekstra** | | |
|
||||
| 25 | [Jaringan Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Each lesson contains
|
||||
## Setiap pelajaran berisi
|
||||
|
||||
* Materi pra-bacaan
|
||||
* Executable Jupyter Notebooks, which are often specific to the framework (**PyTorch** or **TensorFlow**). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow).
|
||||
* **Labs** available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem.
|
||||
* Some sections contain links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules that cover related topics.
|
||||
* Materi pra-baca
|
||||
* Jupyter Notebooks yang dapat dieksekusi, yang sering kali spesifik untuk framework (**PyTorch** atau **TensorFlow**). Notebook yang dapat dieksekusi juga berisi banyak materi teoretis, jadi untuk memahami topik Anda perlu melalui setidaknya satu versi notebook (baik PyTorch atau TensorFlow).
|
||||
* **Lab** yang 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 membahas topik terkait.
|
||||
|
||||
## Memulai
|
||||
|
||||
### 🎯 Baru di AI? Mulai Di Sini!
|
||||
### 🎯 Baru di AI? Mulai di sini!
|
||||
|
||||
If you're completely new to AI and want quick, hands-on examples, check out our [**Contoh Ramah Pemula**](./examples/README.md)! These include:
|
||||
Jika Anda benar-benar baru di AI dan ingin contoh cepat serta praktik, lihat [**Contoh Ramah Pemula**](./examples/README.md) kami! Ini mencakup:
|
||||
|
||||
- 🌟 **Halo Dunia AI** - Program AI pertama Anda (pengenalan pola)
|
||||
- 🧠 **Jaringan Saraf Sederhana** - Bangun jaringan saraf dari awal
|
||||
- 🖼️ **Klasifikator Gambar** - Mengklasifikasikan gambar dengan komentar terperinci
|
||||
- 💬 **Text Sentiment** - Menganalisis teks positif/negatif
|
||||
- 🌟 **Hello AI World** - Program AI pertama Anda (pengenalan pola)
|
||||
- 🧠 **Jaringan Neural Sederhana** - Bangun jaringan neural dari awal
|
||||
- 🖼️ **Klasifikasi Gambar** - Klasifikasikan gambar dengan komentar rinci
|
||||
- 💬 **Sentimen Teks** - Analisis teks positif/negatif
|
||||
|
||||
Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum mendalami kurikulum lengkap.
|
||||
Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum masuk ke kurikulum penuh.
|
||||
|
||||
### 📚 Pengaturan Kurikulum Lengkap
|
||||
### 📚 Pengaturan Kurikulum Penuh
|
||||
|
||||
- Kami telah membuat a [setup lesson](./lessons/0-course-setup/setup.md) untuk membantu Anda dengan menyiapkan lingkungan pengembangan Anda. - Untuk Pendidik, kami juga telah membuat a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) untuk Anda!
|
||||
- Cara [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Kami telah membuat [pelajaran pengaturan](./lessons/0-course-setup/setup.md) untuk membantu Anda mengatur lingkungan pengembangan Anda. - Untuk Pendidik, kami juga telah membuat [pelajaran pengaturan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk Anda!
|
||||
- Cara [Menjalankan kode di VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Ikuti langkah-langkah berikut:
|
||||
Ikuti langkah-langkah ini:
|
||||
|
||||
Fork the Repository: Klik pada tombol "Fork" di sudut kanan atas halaman ini.
|
||||
Fork Repository: Klik tombol "Fork" di pojok kanan atas halaman ini.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Jangan lupa untuk memberi bintang (🌟) repo ini agar lebih mudah ditemukan nanti.
|
||||
Jangan lupa untuk memberikan bintang (🌟) pada repo ini agar lebih mudah ditemukan nanti.
|
||||
|
||||
## Bertemu Pelajar Lain
|
||||
## Bertemu dengan Pembelajar 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 serta mendapatkan dukungan.
|
||||
Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan pembelajar lain yang mengikuti kursus ini serta dapatkan dukungan.
|
||||
|
||||
Jika Anda memiliki umpan balik produk atau pertanyaan saat membangun, kunjungi [Forum Pengembang Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Jika Anda memiliki masukan produk atau pertanyaan saat membangun, kunjungi [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kuis
|
||||
## Kuis
|
||||
|
||||
> **Catatan tentang kuis**: Semua kuis terdapat di folder Quiz-app di etc\quiz-app, atau [Online di sini](https://ff-quizzes.netlify.app/) Mereka ditautkan dari dalam pelajaran; aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti instruksi di folder `quiz-app`. Mereka sedang secara bertahap dilokalkan.
|
||||
> **Catatan tentang kuis**: Semua kuis terdapat di folder Quiz-app di etc\quiz-app, atau [Online di sini](https://ff-quizzes.netlify.app/) Kuis tersebut terhubung di dalam pelajaran, aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti petunjuk di folder `quiz-app`. Kuis-kuis ini sedang secara bertahap dilokalisasi.
|
||||
|
||||
## Butuh Bantuan
|
||||
|
||||
Apakah Anda memiliki saran atau menemukan kesalahan ejaan atau kesalahan kode? Buka issue atau buat pull request.
|
||||
Apakah Anda punya saran atau menemukan kesalahan ejaan atau kode? Buat masalah atau buat pull request.
|
||||
|
||||
## Ucapan Terima Kasih Khusus
|
||||
|
||||
* **✍️ Penulis Utama:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Pembuat Kuis:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Kontributor Inti:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Kurikulum Lainnya
|
||||
|
||||
Tim kami juga membuat kurikulum lain! Lihat:
|
||||
Tim kami membuat kurikulum lain! Lihat:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -192,7 +203,7 @@ Tim kami juga membuat kurikulum lain! Lihat:
|
|||
[](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/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)
|
||||
|
||||
|
|
@ -206,17 +217,17 @@ Tim kami juga membuat kurikulum lain! Lihat:
|
|||
|
||||
## Mendapatkan Bantuan
|
||||
|
||||
Jika Anda mengalami kebuntuan atau memiliki pertanyaan tentang membangun aplikasi AI, bergabunglah dengan sesama pelajar dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang mendukung di mana pertanyaan disambut dan pengetahuan dibagikan secara bebas.
|
||||
Jika Anda mengalami kebuntuan atau memiliki pertanyaan tentang pembuatan aplikasi AI. Bergabunglah dengan pembelajar lain dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang suportif di mana pertanyaan diterima dan pengetahuan dibagikan secara bebas.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jika Anda memiliki umpan balik produk atau menemukan kesalahan saat membangun, kunjungi:
|
||||
Jika Anda memiliki masukan produk atau menemukan kesalahan saat membangun kunjungi:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Penafian:
|
||||
Dokumen ini diterjemahkan menggunakan layanan terjemahan berbasis AI Co-op Translator (https://github.com/Azure/co-op-translator). Meskipun kami berusaha mencapai ketepatan, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidaktepatan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa terjemahan profesional oleh penerjemah manusia. Kami tidak bertanggung jawab atas segala kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.
|
||||
**Penafian**:
|
||||
Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurasi, mohon diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang sahih. Untuk informasi penting, disarankan menggunakan terjemahan profesional dari penerjemah manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau salah tafsir yang timbul dari penggunaan terjemahan ini.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,21 +1,21 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T12:32:54+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:59:40+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "ms"
|
||||
}
|
||||
-->
|
||||
[](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://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)
|
||||
|
||||
|
|
@ -27,136 +27,145 @@ 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 merangkumi alat seperti TensorFlow dan PyTorch, serta etika dalam AI
|
||||
|
||||
Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ia merangkumi pelajaran praktikal, kuiz, dan makmal. Kurikulum ini mesra pemula dan merangkumi alat seperti TensorFlow dan PyTorch, serta etika dalam AI.
|
||||
|
||||
### 🌐 Sokongan Pelbagai Bahasa
|
||||
|
||||
#### Disokong melalui GitHub Action (Automatik & Sentiasa Dikemas kini)
|
||||
#### Disokong melalui GitHub Action (Automatik & Sentiasa Dikemas Kini)
|
||||
|
||||
<!-- 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](./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)
|
||||
|
||||
> **Lebih Suka Klon Secara Tempatan?**
|
||||
|
||||
> Repositori ini merangkumi lebih 50 terjemahan bahasa yang secara signifikan meningkatkan saiz muat turun. Untuk klon tanpa terjemahan, gunakan sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Ini memberikan anda semua yang anda perlukan untuk menyelesaikan kursus dengan muat turun lebih pantas.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jika anda ingin mempunyai sokongan bahasa terjemahan tambahan disenaraikan [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Sertai Komuniti
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Apa yang akan anda pelajari
|
||||
|
||||
**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Peta Minda Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Dalam kurikulum ini, anda akan mempelajari:
|
||||
|
||||
* 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 merupakan teras AI moden. Kami akan menggambarkan konsep di sebalik topik penting ini menggunakan kod dalam dua rangka kerja paling popular - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org).
|
||||
* **Arkitektur Neural** untuk bekerja dengan imej dan teks. Kami akan membincangkan model terkini tetapi mungkin agak ketinggalan dari segi kemajuan paling mutakhir.
|
||||
* Pendekatan AI yang kurang popular, seperti **Algoritma Genetik** dan **Sistem Pelbagai Ejen**.
|
||||
* Pendekatan berbeza kepada Kecerdasan Buatan, termasuk pendekatan simbolik "lama" 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 menggambarkan 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 merangkumi model terkini tetapi mungkin sedikit kurang dalam keadaan seni tertinggi.
|
||||
* Pendekatan AI yang kurang popular, seperti **Algoritma Genetik** dan **Sistem Multi-Ejen**.
|
||||
|
||||
Apa yang tidak akan kami liputi 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 penggunaan **AI dalam Perniagaan**. Pertimbangkan mengikuti laluan pembelajaran [Introduction to AI for business users](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), dibangunkan dengan kerjasama [INSEAD](https://www.insead.edu/).
|
||||
* **Pembelajaran Mesin Klasik**, yang diterangkan dengan baik dalam kurikulum kami [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplikasi AI praktikal 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), [pemprosesan bahasa semula jadi](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 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 **Bot Sembang**. 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 [pos 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/).
|
||||
* Kajian kes perniagaan menggunakan **AI dalam Perniagaan**. Pertimbangkan untuk mengambil laluan pembelajaran [Pengenalan 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 [Sekolah Perniagaan AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) yang dibangunkan bersama [INSEAD](https://www.insead.edu/).
|
||||
* **Pembelajaran Mesin Klasik**, yang diterangkan dengan baik dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplikasi AI praktikal yang dibina menggunakan **[Perkhidmatan Kognitif](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami mencadangkan anda mulakan dengan modul Microsoft Learn untuk [penglihatan](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemprosesan bahasa semula jadi](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI Generatif 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 Awan ML** khusus, 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 menggunakan laluan pembelajaran [Membina dan mengoperasikan 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 [Membina dan Mengendalikan 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 [Mencipta penyelesaian AI perbualan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan anda juga boleh rujuk [pos blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk maklumat lebih terperinci.
|
||||
* **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 boleh didapati dalam talian di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Untuk pengenalan ringkas kepada topik _AI di Awan_ anda boleh mempertimbangkan 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 lembut kepada topik _AI di Awan_, anda boleh pertimbangkan mengambil Laluan Pembelajaran [Mula 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** |
|
||||
| 02 | [Perwakilan Pengetahuan dan Sistem Pakar](./lessons/2-Symbolic/README.md) | [Sistem Pakar](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Konsep](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Pengenalan kepada Rangkaian Neural**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Buku Nota](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Makmal](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Berbilang Lapisan dan Mewujudkan Rangka Kerja Kita Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Buku Nota](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Makmal](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 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) | [Makmal](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visi 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 Visi Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Pengenalan kepada Visi Komputer. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Buku Nota](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Makmal](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Makmal](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Rangkaian Pra-latih dan Pembelajaran Pemindahan](./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) | [Makmal](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders and 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) | |
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Makmal](./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) | [Makmal](./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) | [Makmal](./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) | [Makmal](./lessons/4-ComputerVision/06-IntroCV/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) | [Makmal](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Rangkaian Pralatih dan Pembelajaran Pindahan](./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) | [Makmal](./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) | |
|
||||
| 11 | [Pengesanan Objek](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Makmal](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentasi Semantik. 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 | [**Pemprosesan Bahasa Semulajadi**](./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) | [Terokai Pemprosesan Bahasa Semulajadi di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Pemprosesan Bahasa Semula Jadi**](./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) | [Terokai Pemprosesan Bahasa Semula Jadi di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Perwakilan Teks. 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 | [Pembenaman perkataan 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 pembenaman anda 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) | [Makmal](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Penterjemahan perkataan 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 penterjemahan anda 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) | [Makmal](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rangkaian Neural Berulang](./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 | [Rangkaian Berulang 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) | [Makmal](./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 | [Pengecaman Entiti Bernama](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Makmal](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Model Bahasa Besar, Pengaturcaraan Petunjuk dan Tugasan 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) | |
|
||||
| 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 | [Pengenalan Entiti Bernama](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Makmal](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Model Bahasa Besar, Pengaturcaraan Prompt dan Tugasan 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 | **Teknik AI Lain** || |
|
||||
| 21 | [Algoritma Genetik](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Buku Nota](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Pembelajaran Pengukuhan Mendalam](./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) | [Makmal](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistem Berbilang Ejen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 21 | [Algoritma Genetik](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Pembelajaran Penguatan Mendalam](./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) | [Makmal](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistem Pelbagai Ejen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika AI** | | |
|
||||
| 24 | [Etika AI dan AI Bertanggungjawab](./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) | |
|
||||
| 24 | [Etika AI dan AI Bertanggungjawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsip AI Bertanggungjawab](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Tambahan** | | |
|
||||
| 25 | [Rangkaian Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Buku Nota](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Rangkaian Multi-Mod, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Setiap pelajaran mengandungi
|
||||
|
||||
* Bahan bacaan awal
|
||||
* Buku Nota Jupyter yang boleh dijalankan, yang sering khusus kepada rangka kerja (**PyTorch** atau **TensorFlow**). Buku nota yang boleh dijalankan juga mengandungi banyak bahan teori, jadi untuk memahami topik anda perlu melalui sekurang-kurangnya satu versi buku nota (sama ada PyTorch atau TensorFlow).
|
||||
* **Makmal** tersedia untuk beberapa topik, yang memberi anda peluang untuk mencuba menerapkan bahan yang telah anda pelajari kepada masalah tertentu.
|
||||
* Beberapa bahagian mengandungi pautan kepada modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang merangkumi topik berkaitan.
|
||||
* Bahan pra-bacaan
|
||||
* Jupyter Notebook yang boleh dilaksanakan, yang selalunya khusus kepada rangka kerja (**PyTorch** atau **TensorFlow**). Notebook boleh dilaksanakan juga mengandungi banyak bahan teori, jadi untuk memahami topik anda perlu lalui sekurang-kurangnya satu versi notebook (sama ada PyTorch atau TensorFlow).
|
||||
* **Makmal** yang disediakan untuk beberapa topik, yang memberi anda peluang untuk mencuba menggunakan bahan yang telah anda pelajari kepada satu masalah tertentu.
|
||||
* Sesetengah bahagian mengandungi pautan ke modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang merangkumi topik berkaitan.
|
||||
|
||||
## Mula
|
||||
## Mula Bermula
|
||||
|
||||
### 🎯 Baru dalam AI? Mula di sini!
|
||||
### 🎯 Baru dalam AI? Mula Di Sini!
|
||||
|
||||
Jika anda benar-benar baru dalam AI dan mahukan contoh ringkas yang praktikal, lihat [**Contoh Mesra Pemula**](./examples/README.md)! Ini termasuk:
|
||||
Jika anda benar-benar baru dalam AI dan mahukan contoh pantas yang boleh dicuba, cuba lihat [**Contoh Mesra Pemula**](./examples/README.md) kami! Ini termasuk:
|
||||
|
||||
- 🌟 **Hello AI World** - Program AI pertama anda (pengenalan corak)
|
||||
- 🧠 **Simple Neural Network** - Bina rangkaian neural dari awal
|
||||
- 🖼️ **Image Classifier** - Mengklasifikasikan imej dengan ulasan terperinci
|
||||
- 💬 **Analisis Sentimen Teks** - Menganalisis teks positif/negatif
|
||||
- 🧠 **Rangkaian Neural Ringkas** - Bina rangkaian neural dari awal
|
||||
- 🖼️ **Pengklasifikasi Imej** - Klasifikasikan imej dengan komen terperinci
|
||||
- 💬 **Sentimen Teks** - Analisis teks positif/negatif
|
||||
|
||||
Contoh-contoh ini direka untuk membantu anda memahami konsep AI sebelum menyelami kurikulum penuh.
|
||||
Contoh-contoh ini direka untuk membantu anda memahami konsep AI sebelum meneroka keseluruhan kurikulum.
|
||||
|
||||
### 📚 Persediaan Kurikulum Penuh
|
||||
|
||||
- Kami telah membuat satu [pelajaran persediaan](./lessons/0-course-setup/setup.md) untuk membantu anda menyediakan persekitaran pembangunan anda. - Untuk Pendidik, kami juga telah membuat satu [pelajaran persediaan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk anda!
|
||||
- Cara untuk [Menjalankan kod dalam VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Kami telah mencipta [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) untuk anda!
|
||||
- Cara untuk [Menjalankan kod di VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Ikuti langkah-langkah ini:
|
||||
|
||||
Fork Repositori: Klik pada butang "Fork" di penjuru atas-kanan halaman ini.
|
||||
Fork Repositori: Klik pada butang "Fork" di sudut kanan atas halaman ini.
|
||||
|
||||
Clone Repositori: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Jangan lupa untuk memberikan bintang (🌟) repo ini supaya lebih mudah dicari kemudian.
|
||||
Jangan lupa untuk memberi bintang (🌟) pada repo ini supaya mudah dicari kemudian.
|
||||
|
||||
## Temui Pelajar Lain
|
||||
## Berkenalan dengan Pelajar Lain
|
||||
|
||||
Sertai [pelayan Discord rasmi AI kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berhubung dengan pelajar lain yang mengikuti kursus ini dan mendapatkan sokongan.
|
||||
Sertai [pelayan Discord AI rasmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berhubung dengan pelajar lain yang mengikuti kursus ini dan dapatkan sokongan.
|
||||
|
||||
Jika anda mempunyai maklum balas produk atau soalan semasa membina lawati [Forum Pembangun Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Jika anda mempunyai maklum balas produk atau soalan semasa membina, lawati [Forum Pembangun Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kuiz
|
||||
## Kuiz
|
||||
|
||||
> **Catatan tentang kuiz**: Semua kuiz terkandung dalam folder Quiz-app di etc\quiz-app, atau [Dalam Talian Di Sini](https://ff-quizzes.netlify.app/) Mereka dipautkan dari dalam pelajaran; aplikasi kuiz boleh dijalankan secara tempatan atau dideploy ke Azure; ikut arahan dalam folder `quiz-app`. Mereka sedang diterjemahkan secara berperingkat.
|
||||
> **Nota mengenai kuiz**: Semua kuiz terkandung dalam folder Quiz-app di etc\quiz-app, atau [Dalam Talian Di Sini](https://ff-quizzes.netlify.app/) Kuiz ini dipautkan dari dalam pelajaran dan aplikasi kuiz boleh dijalankan secara tempatan atau dideploy ke Azure; ikuti arahan dalam folder `quiz-app`. Ia sedang dalam proses pelokalan secara berperingkat.
|
||||
|
||||
## Bantuan Diperlukan
|
||||
|
||||
Ada cadangan atau menemui kesalahan ejaan atau kod? Buka isu atau buat pull request.
|
||||
Adakah anda mempunyai cadangan atau mendapati kesalahan ejaan atau kod? Sila laporkan isu atau buat permintaan tarik.
|
||||
|
||||
## Ucapan Terima Kasih Khas
|
||||
## Terima Kasih Istimewa
|
||||
|
||||
* **✍️ Pengarang Utama:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Penyunting:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Pencipta Kuiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Penyumbang Teras:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
|
@ -172,7 +181,7 @@ Pasukan kami menghasilkan kurikulum lain! Lihat:
|
|||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agen
|
||||
### 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)
|
||||
|
|
@ -180,11 +189,11 @@ Pasukan kami menghasilkan kurikulum lain! Lihat:
|
|||
|
||||
---
|
||||
|
||||
### Siri Generatif 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)
|
||||
### 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)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -207,9 +216,9 @@ Pasukan kami menghasilkan kurikulum lain! Lihat:
|
|||
|
||||
## Mendapatkan Bantuan
|
||||
|
||||
Jika anda tersekat atau mempunyai sebarang soalan tentang membina aplikasi AI. Sertai rakan pelajar dan pembangun berpengalaman dalam perbincangan tentang MCP. Ini ialah komuniti yang menyokong di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas.
|
||||
Jika anda tersekat atau mempunyai sebarang soalan tentang membina aplikasi AI. Sertai pelajar lain dan pembangun berpengalaman dalam perbincangan tentang MCP. Ia adalah komuniti sokongan di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jika anda mempunyai maklum balas produk atau ralat semasa membina, lawati:
|
||||
|
||||
|
|
@ -218,6 +227,6 @@ Jika anda mempunyai maklum balas produk atau ralat 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 ketidakakuratan. Dokumen asal dalam bahasa asalnya hendaklah dianggap sebagai sumber rujukan yang sah. Untuk maklumat yang kritikal, disarankan mendapatkan terjemahan profesional oleh penterjemah manusia. Kami tidak bertanggungjawab ke atas sebarang salah faham atau salah tafsiran yang timbul daripada penggunaan terjemahan ini.
|
||||
**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 maklum bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang sah. Untuk maklumat penting, terjemahan profesional oleh manusia adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,222 +1,233 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T12:41:30+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T16:06:48+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sw"
|
||||
}
|
||||
-->
|
||||
[](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://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)
|
||||
|
||||
# Akili Bandia kwa Waanza - Mtaala
|
||||
# Akili Bandia kwa Komesheni - Mtaala
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI kwa Waanza - _Sketchnote na [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI Kwa Komesheni - _Sketchnote na [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Chunguza dunia ya **Akili Bandia** (AI) kwa kutumia mtaala wetu wa wiki 12, masomo 24! Inajumuisha masomo ya vitendo, maswali ya mtihani, na maabara. Mtaala ni rafiki kwa wanaoanza na unahusisha zana kama TensorFlow na PyTorch, pamoja na maadili katika AI
|
||||
|
||||
Gundua dunia ya **Akili Bandia** (AI) kupitia mtaala wetu wa wiki 12, masomo 24! Inajumuisha masomo ya vitendo, mitihani, na maabara. Mtaala huu ni rafiki kwa waanza na unafunika zana kama TensorFlow na PyTorch, pamoja na maadili katika AI
|
||||
|
||||
### 🌐 Msaada wa Lugha Nyingi
|
||||
|
||||
#### Inasaidiwa kupitia GitHub Action (Otomatiki & Daima Imesasishwa)
|
||||
#### Unaungwa mkono kupitia GitHub Action (Moja kwa moja na Daima Imeboreshwa)
|
||||
|
||||
<!-- 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](./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)
|
||||
[Kiarabu](../ar/README.md) | [Kibengali](../bn/README.md) | [Kibulgaria](../bg/README.md) | [Kiburma (Myanmar)](../my/README.md) | [Kichina (Rahisi)](../zh/README.md) | [Kichina (Kiasili, Hong Kong)](../hk/README.md) | [Kichina (Kiasili, Macau)](../mo/README.md) | [Kichina (Kiasili, Taiwan)](../tw/README.md) | [Kikroeshia](../hr/README.md) | [Kicheki](../cs/README.md) | [Kidenmaki](../da/README.md) | [Kiholanzi](../nl/README.md) | [Kiestonia](../et/README.md) | [Kifini](../fi/README.md) | [Kifaransa](../fr/README.md) | [Kijerumani](../de/README.md) | [Kigiriki](../el/README.md) | [Kiebrania](../he/README.md) | [Kihindi](../hi/README.md) | [Kihungari](../hu/README.md) | [Kiindonesian](../id/README.md) | [Kiitaliano](../it/README.md) | [Kijapani](../ja/README.md) | [Kikannada](../kn/README.md) | [Kikorea](../ko/README.md) | [Kilitwania](../lt/README.md) | [Kimalay](../ms/README.md) | [Kimalayalam](../ml/README.md) | [Kimarathi](../mr/README.md) | [Kinepali](../ne/README.md) | [Kipidgin cha Nigeria](../pcm/README.md) | [Kinorwe](../no/README.md) | [Kiajemi (Farsi)](../fa/README.md) | [Kipolandi](../pl/README.md) | [Kireno (Brazili)](../br/README.md) | [Kireno (Ureno)](../pt/README.md) | [Kipunjabi (Gurmukhi)](../pa/README.md) | [Kiromania](../ro/README.md) | [Kirusi](../ru/README.md) | [Kiserbia (Siriliki)](../sr/README.md) | [Kislovakia](../sk/README.md) | [Kislovenia](../sl/README.md) | [Kihispania](../es/README.md) | [Kiswahili](./README.md) | [Kiswidi](../sv/README.md) | [Kitagalog (Filipino)](../tl/README.md) | [Kitamili](../ta/README.md) | [Kitelugu](../te/README.md) | [Kithai](../th/README.md) | [Kituruki](../tr/README.md) | [Kiukraini](../uk/README.md) | [Kiurdu](../ur/README.md) | [Kivietinamu](../vi/README.md)
|
||||
|
||||
> **Unapendelea Kunoa Mitaa?**
|
||||
|
||||
> Hifadhidata hii inajumuisha tafsiri za lugha zaidi ya 50 ambazo zinaongeza ukubwa wa pakiti ya kupakua. Ili kunakili bila tafsiri, tumia sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Hii inakupa kila kitu unachohitaji kukamilisha kozi haraka zaidi.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Ikiwa ungependa kuwa na lugha zaidi za tafsiri zinazounga mkono zimetajwa [hapa](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Jiunge na Jamii
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Utajifunza Nini
|
||||
## Utajifunza nini
|
||||
|
||||
**[Ramani ya Mawazo ya Kozi](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Katika mtaala huu, utajifunza:
|
||||
|
||||
* Mbinu tofauti za Akili Bandia, ikiwa ni pamoja na njia ya "kawaida zamani" ya kimasharti ya alama na **Uwakilishi wa Maarifa** na hoja ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Mitandao ya Neva** na **Kujifunza kwa Kina**, ambazo ni msingi wa AI ya kisasa. Tutafafanua dhana za mada hizi muhimu kwa kutumia msimbo katika mojawapo ya mifumo maarufu - [TensorFlow](http://Tensorflow.org) na [PyTorch](http://pytorch.org).
|
||||
* **Miundo ya Mitandao ya Neva** kwa kufanya kazi na picha na maandishi. Tutafunika miundo ya hivi karibuni lakini huenda ikawa si ya hali ya juu kabisa.
|
||||
* Njia zisizo maarufu za AI, kama vile **Algoriti za Kijenetiki** na **Mifumo ya Wakala Wengi**.
|
||||
* Njia tofauti za Akili Bandia, ikijumuisha njia ya "kile kilichotumika zamani" ya kimfumu na **Uwakilishi wa Maarifa** na kutathmini ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Mito ya Neva** na **Kujifunza Kwa Kina**, ambavyo ni msingi wa AI za kisasa. Tutatoa mifano ya dhana nyuma ya mada hizi muhimu kwa kutumia msimbo katika mifumo miwili maarufu - [TensorFlow](http://Tensorflow.org) na [PyTorch](http://pytorch.org).
|
||||
* **Mimari ya Neva** ya kufanya kazi na picha na maandishi. Tutashughulikia mifano ya hivi karibuni lakini huenda ikawa haijawa ya hali ya juu kabisa.
|
||||
* Mbinu zisizo maarufu za AI, kama vile **Algoriti za Kijasiriamali** na **Mifumo ya Wakaazi Wengi**.
|
||||
|
||||
Mambo ambayo hatutajadili katika mtaala huu:
|
||||
Kile ambacho hatutagusia 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)
|
||||
|
||||
* Mifano ya biashara ya kutumia **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) njia ya kujifunza kwenye Microsoft Learn, au [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), iliyotengenezwa kwa ushirikiano na [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning ya Klasiki**, ambayo imeelezewa vizuri katika [Mtaala wetu wa Machine Learning kwa Waanza](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Programu za vitendo za AI zilizojengwa kwa kutumia **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Kwa hili, tunapendekeza uanze na moduli za Microsoft Learn kwa [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [uchakataji 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.
|
||||
* Mfumo maalum wa Cloud wa ML, 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 njia za kujifunza [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) na [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 ya Mazungumzo** na **Chat Bots**. Kuna njia ya kujifunza tofauti [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), na pia unaweza kurejelea [hili blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) kwa maelezo zaidi.
|
||||
* **Hisabati Nzito** nyuma ya kujifunza kwa kina. Kwa hili, tungependekeza [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) iliyoandikwa na Ian Goodfellow, Yoshua Bengio na Aaron Courville, ambayo pia inapatikana mtandaoni kwenye [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Mifano ya biashara ya kutumia **AI katika Biashara**. Fikiria kuchukua njia ya mafunzo ya [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 ushirikiano na [INSEAD](https://www.insead.edu/).
|
||||
* **Kujifunza kwa Mashine ya Kiasili**, ambayo imeelezewa vizuri katika [Mtaala wetu wa Kujifunza kwa Mashine kwa Wanaanziajira](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Programu za vitendo za AI zilizojengwa kwa kutumia **[Huduma za Akili](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Kwa hili, tunapendekeza uanze na moduli za Microsoft Learn za [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 ya 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 **Wingu wa ML**, kama vile [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 njia za mafunzo [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).
|
||||
* **AI ya Mazungumzo** na **Chat Bots**. Kuna njia tofauti ya mafunzo ya [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 wa Kina** nyuma ya kujifunza kwa kina. Kwa hili, tunapendekeza kitabu cha [Kujifunza kwa Kina](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) cha Ian Goodfellow, Yoshua Bengio na Aaron Courville, ambacho kinapatikana pia mtandaoni kwenye [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Kwa utangulizi mpole kwenye mada za _AI katika Cloud_ unaweza kuzingatia kuchukua Njia ya Kujifunza [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).
|
||||
Kwa utangulizi mpole kwa mada za _AI katika Wingu_ unaweza kufikiria kuchukua Njia ya Kujifunza ya [Anza na Akili Bandia kwenye Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Yaliyomo
|
||||
|
||||
| | Kiunganisho cha Somo | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Kiungo cha Somo | PyTorch/Keras/TensorFlow | Maabara |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Usanidi wa Kozi](./lessons/0-course-setup/setup.md) | [Sanidi Mazingira Yako ya Maendeleo](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Utangulizi wa AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Utangulizi na Historia ya AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI ya Kielezo** |
|
||||
| II | **AI ya Kimfumo ya Alama** |
|
||||
| 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 Neva**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Daftari](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Maabara](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Yenye Tabaka Nyingi na Kuunda Mfumo Wetu Mwenyewe](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Daftari](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Maabara](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Utangulizi kwa 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) | [Maabara](./lessons/3-NeuralNetworks/05-Frameworks/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)| [Gundua 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) | [Daftari](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Maabara](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Mitandao ya Neva za 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) | [Maabara](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Mitandao Zilizofunzwa Awali na 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) | [Maabara](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| III | [**Utangulizi wa Mito ya Neva**](./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) |
|
||||
| IV | [**Kompyuta 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)| [Explore Computer Vision on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Intro to 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) & [CNN Architectures](./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 | [Pre-trained Networks and 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) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders and 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 | [Utambuzi wa Vitu](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Maabara](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Ugawaji wa Semantiki. 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)|
|
||||
| 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 wa Kisemiantiki. Word2Vec and 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. Kufunza embeddings zako](./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) | [Maabara](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Mitandao ya Neva ya Kurudiwa](./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 Zinazozalisha za Kurudiwa](./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) | [Maabara](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 11 | [Object Detection](./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 | [Semantic Segmentation. 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) | [Explore Natural Language Processing on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Text Representation. 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 | [Semantic word embeddings. Word2Vec and 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 | [Language Modeling. Training your own 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 | [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 | [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 | [Utambuzi wa Vitu Vilivyotajwa](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Maabara](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 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 | [Large Language Models, Prompt Programming and Few-Shot Tasks](./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 | [Algorithimu za Kijenetiki](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Daftari](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Kujifunza kwa Uimarishaji wa 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) | [Maabara](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Mifumo ya Mawakala Wengi](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | [Maadili ya AI] | | |
|
||||
| 24 | [AI Ethics and Responsible AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Kanuni za AI Inayewajibika](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | [Nyongeza] | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Daftari](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| VI | **Mbinu Nyingine za AI** || |
|
||||
| 21 | [Genetic Algorithms](./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 | **Maadili ya AI** | | |
|
||||
| 24 | [AI Ethics and Responsible AI](./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 | **Zaidi** | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Kila somo linajumuisha
|
||||
## Kila somo lina
|
||||
|
||||
* Nyenzo za kusoma kabla
|
||||
* Daftari za Jupyter zinazoweza kutekelezwa, ambazo mara nyingi ni maalum kwa mfumo (**PyTorch** au **TensorFlow**). Daftari inayotekelezwa pia ina nyenzo nyingi za nadharia, kwa hivyo kuelewa mada unahitaji kupitia angalau toleo moja la daftari (iwe PyTorch au TensorFlow).
|
||||
* **Maabara** zinapatikana kwa baadhi ya mada, ambazo zinakupa fursa ya kujaribu kutumia nyenzo ulizojifunza kwa tatizo maalum.
|
||||
* Sehemu baadhi zina viungo kwa moduli za [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) zinazofunika mada zinazohusiana.
|
||||
* Vitabu vya Jupyter vinavyoweza kutekelezwa, ambavyo mara nyingi ni maalum kwa mfumo fulani (**PyTorch** au **TensorFlow**). Kitabu kinachoweza kutekelezwa pia kinajumuisha nyenzo nyingi za kinadharia, kwa hivyo ili kuelewa mada unapaswa kupitia kwa angalau toleo moja la kitabu (PyTorch au TensorFlow).
|
||||
* **Maabara** zinazopatikana kwa baadhi ya mada, ambayo hukupa fursa ya kujaribu kutumia nyenzo ulizojifunza kwa tatizo fulani.
|
||||
* Sehemu zingine zina viungo vya moduli za [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ambazo zinashughulikia mada zinazohusiana.
|
||||
|
||||
## Kuanzia
|
||||
|
||||
### 🎯 Mpya kwa AI? Anza Hapa!
|
||||
|
||||
Ikiwa wewe ni mpya kabisa kwa AI na unataka mifano ya haraka, ya vitendo, angalia [**Mifano kwa Waanziaji**](./examples/README.md)! Hizi zinajumuisha:
|
||||
Ikiwa wewe ni mpya kabisa kwa AI na unataka mifano ya mkono kwa haraka, angalia [**Mifano ya Kuanzia Kwa Waanzilishi**](./examples/README.md)! Hizi ni pamoja na:
|
||||
|
||||
- 🌟 **Hello AI World** - Programu yako ya kwanza ya AI (utambuzi wa mifumo)
|
||||
- 🧠 **Simple Neural Network** - Jenga mtandao wa neva kutoka mwanzoni
|
||||
- 🖼️ **Image Classifier** - Klasifisha picha kwa maelezo ya kina
|
||||
- 💬 **Hisia za Maandishi** - Changanua maandishi chanya/hasi
|
||||
- 🌟 **Hello AI World** - Programu yako ya kwanza ya AI (kutambua mifumo)
|
||||
- 🧠 **Mtandao Rahisi wa Neural** - Jenga mtandao wa neva kutoka mwanzo
|
||||
- 🖼️ **Mtambuzi wa Picha** - Tandaza picha na maelezo ya kina
|
||||
- 💬 **Hisia za Maandishi** - Changanua maandishi chanya/negativi
|
||||
|
||||
These examples are designed to help you understand AI concepts before diving into the full curriculum.
|
||||
Mifano hii imeundwa kukusaidia kuelewa dhana za AI kabla ya kuanza mtaala kamili.
|
||||
|
||||
### 📚 Usanidi wa Mtaala Kamili
|
||||
### 📚 Mpango Kamili wa Mtaala
|
||||
|
||||
- Tumetengeneza somo la [somo la usanidi](./lessons/0-course-setup/setup.md) kukusaidia kuanzisha mazingira yako ya maendeleo. - Kwa Walimu, tumetengeneza pia somo la [somo la usanidi wa mtaala](./lessons/0-course-setup/for-teachers.md) kwa ajili yenu!
|
||||
- Jinsi ya [Kukimbia msimbo kwenye VSCode au Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Tumetengeneza [somo la usanidi](./lessons/0-course-setup/setup.md) kukusaidia kujenga mazingira yako ya maendeleo. - Kwa Walimu, tumetengeneza [somo la usanidi wa mitaala](./lessons/0-course-setup/for-teachers.md) pia kwa ajili yenu!
|
||||
- Jinsi ya [Kukimbia msimbo katika VSCode au Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
Fuata hatua hizi:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fungua Nakala: Bonyeza kitufe cha "Fork" kilicho kona ya juu-kushoto ya ukurasa huu.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Nakili Nakala: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Usisahau kuweka nyota (🌟) kwenye repo hii ili kuipata kwa urahisi baadaye.
|
||||
|
||||
## Kutana na Wanafunzi Wengine
|
||||
|
||||
Join our [seva rasmi ya Discord ya AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support.
|
||||
Jiunge na [server rasmi ya AI Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kutana na kujenga mtandao na wanafunzi wengine wanaochukua kozi hii na pata msaada.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Ikiwa una maoni au maswali kuhusu bidhaa wakati wa kujenga tembelea [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Majaribio
|
||||
## Maswali ya Kujipima
|
||||
|
||||
> **Kumbuka kuhusu majaribio**: Majaribio yote yamehifadhiwa kwenye folda ya Quiz-app katika etc\quiz-app, au [Mtandaoni Hapa](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized.
|
||||
> **Kumbuka kuhusu maswali ya kujipima**: Maswali yote yapo 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 kwa ndani au kuwekwa kwenye Azure; fuata maelekezo katika folda ya `quiz-app`. Yanaendelea kutafsiriwa kwa lugha tofauti polepole.
|
||||
|
||||
## Tunaomba Msaada
|
||||
## Msaada Unahitajika
|
||||
|
||||
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
|
||||
Je, una mapendekezo au umeona makosa ya tahajia au msimbo? Toa tatizo au tengeneza ombi la kuvuta.
|
||||
|
||||
## Shukrani Maalum
|
||||
|
||||
* **✍️ Mwandishi Mkuu:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Mhariri:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Mchoraji wa Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Muumba wa Majaribio:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Wachangiaji Wakuu:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✅ Muumba wa Maswali:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Washiriki Wakuu:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Mitaala Mengine
|
||||
|
||||
Our team produces other curricula! Check out:
|
||||
Timu yetu hutengeneza mitaala mingine! Angalia:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Wakala
|
||||
[](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 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)
|
||||
### 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)
|
||||
|
||||
---
|
||||
|
||||
### Mafunzo ya 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://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)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Kupata Msaada
|
||||
|
||||
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.
|
||||
Ikiwa unakumbwa na shida au una maswali kuhusu kujenga programu za AI. Jiunge na wanafunzi wenzako na waendelezaji wenye uzoefu katika majadiliano kuhusu MCP. Ni jamii yenye msaada ambapo maswali yanakaribishwa na maarifa yanashirikishwa kwa uhuru.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you have product feedback or errors while building visit:
|
||||
Ikiwa una maoni kuhusu bidhaa au makosa wakati wa kujenga tembelea:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Taarifa ya kutotegemewa:
|
||||
Nyaraka hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kufikia usahihi, tafadhali fahamu kwamba tafsiri za kiotomatiki zinaweza kuwa na makosa au zisizo sahihi. Nyaraka asili katika lugha yake inapaswa kuzingatiwa kama chanzo chenye mamlaka. Kwa taarifa muhimu, inashauriwa kutumia mtafsiri mtaalamu wa kibinadamu. Hatuwajibiki kwa kutoelewana au tafsiri mbaya zitakazotokana na matumizi ya tafsiri hii.
|
||||
**Tangazo la Majadiliano**:
|
||||
Nyaraka hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kufikia usahihi, tafadhali fahamu kwamba tafsiri za kiotomatiki zinaweza kuwa na makosa au ukosefu wa usahihi. Nyaraka ya asili katika lugha yake ya mama inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu na ya binadamu inapendekezwa. Hatuwajibiki kwa kutoelewana au tafsiri potofu zitakazotokea kutokana na matumizi ya tafsiri hii.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,33 +1,33 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T12:38:31+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T16:03:26+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tl"
|
||||
}
|
||||
-->
|
||||
[](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://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)
|
||||
|
||||
# Artipisyal na Intelihensiya para sa mga Nagsisimula - Isang Kurikulum
|
||||
# Artificial Intelligence for Beginners - Isang Kurikulum
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI Para sa mga Nagsisimula - _Sketchnote ni [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Sketchnote ni [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Galugarin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-linggo, 24-araling kurikulum! Kabilang dito ang mga praktikal na aralin, pagsusulit, at mga lab. Ang kurikulum ay angkop para sa mga nagsisimula at sumasaklaw sa mga tool tulad ng TensorFlow at PyTorch, pati na rin ang etika sa AI
|
||||
Siyasatin ang mundo ng **Artificial Intelligence** (AI) sa aming 12-linggong, 24-leksyon na kurikulum! Kasama dito ang mga praktikal na leksyon, pagsusulit, at mga lab. Ang kurikulum ay angkop para sa mga nagsisimula at sumasaklaw sa mga tool tulad ng TensorFlow at PyTorch, pati na rin ang etika sa AI.
|
||||
|
||||
|
||||
### 🌐 Suporta sa Maramihang Wika
|
||||
|
|
@ -36,9 +36,19 @@ Galugarin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-l
|
|||
|
||||
<!-- 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)](./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)
|
||||
|
||||
> **Mas gusto mo bang Kopyahin Local?**
|
||||
|
||||
> Kasama sa repository na ito ang mahigit 50 na pagsasalin ng wika na malaki ang pinapataas sa laki ng pag-download. Upang kopyahin nang walang mga pagsasalin, gamitin ang sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Bibigyan ka nito ng lahat ng kailangan mo para matapos ang kurso nang mas mabilis ang pag-download.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Kung nais mong magkaroon ng karagdagang mga pagsasalin, makikita ang mga suportadong wika [dito](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Kung nais mong magkaroon ng karagdagang suportadong mga wika ng pagsasalin ay nakalista [dito](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Sumali sa Komunidad
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -47,177 +57,177 @@ Galugarin ang mundo ng **Artipisyal na Intelihensiya** (AI) gamit ang aming 12-l
|
|||
|
||||
**[Mindmap ng Kurso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Sa kurikulum na ito, matututunan mo:
|
||||
Sa kurikulum na ito, matututunan mo ang:
|
||||
|
||||
* Iba't ibang paraan sa Artipisyal na Intelihensiya, kabilang ang "good old" simbolikong pamamaraan na may **Representasyon ng Kaalaman** at pangangatwiran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Mga Neural Network** at **Deep Learning**, na nasa puso ng makabagong 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).
|
||||
* **Neural Architectures** para sa pagtatrabaho sa mga imahe at teksto. Tatalakayin namin ang mga kamakailang modelo ngunit maaaring medyo kulang sa pinakabagong state-of-the-art.
|
||||
* Mas hindi gaanong popular na mga pamamaraan ng AI, tulad ng **Genetic Algorithms** at **Multi-Agent Systems**.
|
||||
* Iba't ibang mga pamamaraan sa Artificial Intelligence, kabilang ang "good old" na simbolikong pamamaraan gamit ang **Knowledge Representation** at pangangatwiran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Neural Networks** at **Deep Learning**, na nasa sentro ng modernong AI. Ipapakita namin ang mga konsepto sa likod ng mga importanteng paksang ito gamit ang code sa dalawang pinakasikat na frameworks - [TensorFlow](http://Tensorflow.org) at [PyTorch](http://pytorch.org).
|
||||
* **Neural Architectures** para sa pagproseso ng mga larawan at teksto. Sasaklawin namin ang mga kamakailang modelo ngunit maaaring medyo kulang sa pinakabagong estado-ng-sining.
|
||||
* Hindi gaanong kilalang mga pamamaraan ng AI, tulad ng **Genetic Algorithms** at **Multi-Agent Systems**.
|
||||
|
||||
Ang hindi namin tatalakayin sa kurikulum na ito:
|
||||
Ang hindi namin sasaklawin sa kurikulum na ito:
|
||||
|
||||
> [Hanapin ang lahat ng karagdagang mga mapagkukunan para sa kursong ito sa aming Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Hanapin ang lahat ng karagdagang mga mapagkukunan para sa kurso na ito sa aming koleksyon sa Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Mga kaso ng 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 ang [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), na binuo sa pakikipagtulungan ng [INSEAD](https://www.insead.edu/).
|
||||
* **Klasikong Machine Learning**, na mahusay na inilarawan sa aming [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Mga praktikal na aplikasyon ng AI na ginawa gamit ang **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para dito, inirerekomenda naming simulan mo ang 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 mo ring sanggunian ang [ang blog post na ito](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para sa karagdagang 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 available din online sa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Mga business cases 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 inilalarawan sa aming [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Mga praktikal na aplikasyon ng AI na ginawa gamit ang **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para dito, inirerekomenda naming magsimula ka 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 espesipikong 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) na mga learning path.
|
||||
* **Conversational AI** at **Chat Bots**. Mayroon nang hiwalay na [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) na 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 karagdagang detalye.
|
||||
* **Malalim na Matematika** sa likod ng deep learning. Para dito, nirerekomenda 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/).
|
||||
|
||||
Para sa banayad na pagpapakilala sa mga paksa ng _AI in the 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 isang mahinahong 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 |
|
||||
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Pagsasaayos ng Kurso](./lessons/0-course-setup/setup.md) | [I-setup ang Iyong Development Environment](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Course Setup](./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) | - | - |
|
||||
| II | **Simbolikong AI** |
|
||||
| 02 | [Representasyon ng Kaalaman 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) | |
|
||||
| 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) |||
|
||||
| 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 aming 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 | [Panimula sa Mga Framework (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) |
|
||||
| IV | [**Paningin ng Kompyuter**](./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)| [I-explore ang Paningin ng Kompyuter sa Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Panimula sa 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) |
|
||||
| 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) |
|
||||
| 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)| [I-explore ang Computer Vision sa Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Intro to 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) & [CNN Architectures](./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 | [Pre-trained Networks and 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) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders and 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 | [Deteksiyon ng Objekto](./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 | [Semantikong Segmentasyon. 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 | [**Pagpoproseso ng Natural na Wika**](./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) | [I-explore ang Pagpoproseso ng Natural na Wika sa Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Paglalarawan ng Teksto. 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 | [Semantikong word embeddings. Word2Vec and 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 | [Pagmomodelo ng Wika. Pagsasanay ng sarili mong 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) |
|
||||
| 11 | [Object Detection](./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 | [Semantic Segmentation. 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) | [I-explore ang Natural Language Processing sa Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Text Representation. 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 | [Semantic word embeddings. Word2Vec and 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 | [Language Modeling. Training your own 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 | [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 | [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 | [Pagtukoy ng Mga Named Entity](./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 | [Malalaking Modelong Pangwika, Prompt Programming at Few-Shot na Mga Gawain](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Iba pang Mga Teknik ng AI** || |
|
||||
| 21 | [Genetikong Algoritmo](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Malalim na 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 | [Sistemang Maramihang Ahente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika ng AI** | | |
|
||||
| 24 | [Etika ng AI at Responsable na AI](./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 | **Mga Ekstra** | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP at VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.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 | [Large Language Models, Prompt Programming and Few-Shot Tasks](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Iba Pang AI Techniques** || |
|
||||
| 21 | [Genetic Algorithms](./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 Ethics** | | |
|
||||
| 24 | [AI Ethics and Responsible AI](./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 | **Extras** | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Bawat leksyon ay naglalaman
|
||||
## Bawat aralin ay naglalaman ng
|
||||
|
||||
* Mga materyal na dapat basahin muna
|
||||
* Executable 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 (alinman sa PyTorch o TensorFlow).
|
||||
* **Labs** na magagamit para sa ilang paksa, na nagbibigay sa iyo ng pagkakataon na subukan ang pag-aaplay ng mga natutunan mo sa isang partikular na problema.
|
||||
* Ang ilang seksyon ay naglalaman ng mga link sa [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) na mga module na sumasaklaw sa mga kaugnay na paksa.
|
||||
* Mga materyal na pang-prebasa
|
||||
* Mga maee-execute na Jupyter Notebooks, na madalas na nakatuon sa isang partikular na framework (**PyTorch** o **TensorFlow**). Ang maee-execute na 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).
|
||||
* Mga **Labs** na makukuha para sa ilang mga paksa, na nagbibigay sa iyo ng pagkakataon na subukan ang pag-aaplay ng mga natutunang materyal sa isang partikular na problema.
|
||||
* Ang ilang mga seksyon ay naglalaman ng mga link sa mga module ng [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) na sumasaklaw sa mga kaugnay na paksa.
|
||||
|
||||
## Paano Magsimula
|
||||
## Pagsisimula
|
||||
|
||||
### 🎯 Bago sa AI? Magsimula Dito!
|
||||
|
||||
Kung ikaw ay ganap na bago sa AI at nais ng mabilis, praktikal na mga halimbawa, tingnan ang aming [**Mga Halimbawa para sa mga Nagsisimula**](./examples/README.md)! Kasama sa mga ito:
|
||||
Kung ganap kang bago sa AI at nais ng mabilis na mga halimbawa na may kasamang hands-on, tingnan ang aming [**Mga Halimbawang Madaling Simulan para sa Baguhan**](./examples/README.md)! Kasama dito ang:
|
||||
|
||||
- 🌟 **Hello AI World** - Ang iyong unang AI na programa (pagkilala ng pattern)
|
||||
- 🧠 **Simple Neural Network** - Bumuo ng isang neural network mula sa simula
|
||||
- 🖼️ **Image Classifier** - Mag-uri ng mga imahe na may detalyadong mga paliwanag
|
||||
- 💬 **Sentimyento ng Teksto** - Suriin ang positibo/negatibong teksto
|
||||
- 🌟 **Hello AI World** - Ang iyong unang AI program (pagkilala ng pattern)
|
||||
- 🧠 **Simpleng Neural Network** - Gumawa ng neural network mula sa simula
|
||||
- 🖼️ **Image Classifier** - Mag-klasipika ng mga larawan na may detalyadong mga paliwanag
|
||||
- 💬 **Sentimiyento ng Teksto** - Suriin ang positibo/negatibong teksto
|
||||
|
||||
Ang mga halimbawang ito ay idinisenyo upang tulungan kang maunawaan ang mga konsepto ng AI bago lumusong sa buong kurikulum.
|
||||
Ang mga halimbawa na ito ay idinisenyo upang matulungan kang maunawaan ang mga konsepto ng AI bago sumabak sa buong kurikulum.
|
||||
|
||||
### 📚 Pag-setup ng Buong Kurikulum
|
||||
### 📚 Pagsasaayos ng Buong Kurikulum
|
||||
|
||||
- We have created a [setup lesson](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Para sa mga guro, gumawa rin kami ng [aralin sa pag-setup 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)
|
||||
- Nilikha namin ang isang [setup lesson](./lessons/0-course-setup/setup.md) upang tulungan ka sa pagsasaayos ng iyong development environment. - Para sa mga Tagapagturo, gumawa rin kami ng isang [curricula setup lesson](./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:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fork ang Repository: Pindutin ang "Fork" na button sa kanang itaas na sulok ng pahinang ito.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
I-clone ang Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Huwag kalimutang bigyan ng star (🌟) ang repo na ito upang mas madaling mahanap ito kalaunan.
|
||||
|
||||
## Makilala ang iba pang mga Nag-aaral
|
||||
## Makipagkita sa Iba Pang Mga Nag-aaral
|
||||
|
||||
Sumali sa aming [opisyal na AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) upang makilala at makipag-network sa ibang mga nag-aaral na kumuha 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 makilala at makipag-network sa iba pang mga nag-aaral na kumukuha ng kursong ito at makakuha ng suporta.
|
||||
|
||||
Kung mayroon kang feedback tungkol sa produkto o mga tanong habang nagtatayo, bisitahin ang aming [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Kung mayroon kang feedback sa produkto o mga tanong habang nagtatayo, bisitahin ang aming [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzes
|
||||
## Mga Pagsusulit
|
||||
|
||||
> **Isang tala tungkol sa mga pagsusulit**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Dito](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized.
|
||||
> **Isang paalala tungkol sa mga pagsusulit**: Lahat ng pagsusulit ay nasa Quiz-app folder sa etc\quiz-app, o [Online Dito](https://ff-quizzes.netlify.app/) Nakakabit ang mga ito sa loob ng mga aralin, maaari patakbuhin ang quiz app nang lokal o ideploy sa Azure; sundin ang mga tagubilin sa folder na `quiz-app`. Unti-unti rin itong nilalokalisa.
|
||||
|
||||
## Kailangan ng Tulong
|
||||
## Naghahanap ng Tulong
|
||||
|
||||
Mayroon ka bang mga suhestiyon o nakakita ng mga pagkakamali sa baybay o code? Magbukas ng isyu o gumawa ng pull request.
|
||||
Mayroon ka bang mga mungkahi o nakakita ng mga maling baybay o error sa code? Mag-raise ng isyu o gumawa ng pull request.
|
||||
|
||||
## Espesyal na Pasasalamat
|
||||
|
||||
* **✍️ Pangunahing May-akda:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Illustrador ng Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Taglikha ng Quiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Pangunahing Mga Kontribyutor:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Tagalikha ng Pagsusulit:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Pangunahing mga Kontribyutor:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Iba pang Kurikulum
|
||||
## Iba Pang Kurikulum
|
||||
|
||||
Ang aming koponan ay gumagawa ng iba pang mga kurikulum! Tingnan ang:
|
||||
Ang aming koponan ay gumagawa ng iba pang mga kurikulum! Silipin:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Mga Ahente
|
||||
[](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)
|
||||
### 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)
|
||||
|
||||
---
|
||||
|
||||
### Serye ng Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-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)
|
||||
|
||||
---
|
||||
|
||||
### Pangunahing Pagkatuto
|
||||
[](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)
|
||||
### 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)
|
||||
|
||||
---
|
||||
|
||||
### Serye ng 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)
|
||||
### 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)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Pagkuha ng Tulong
|
||||
|
||||
Kung ikaw ay ma-stuck o may anumang mga tanong tungkol sa pagbuo ng mga AI apps, sumali sa mga kapwa nag-aaral at mga bihasang developer sa mga diskusyon tungkol sa MCP. Ito ay isang sumusuportang komunidad kung saan malugod ang mga tanong at malayang ibinabahagi ang kaalaman.
|
||||
Kung ikaw ay nahihirapan o may mga tanong tungkol sa paggawa ng mga AI app, sumali sa mga kasama mong nag-aaral at mga bihasang developer sa mga talakayan tungkol sa MCP. Ito ay isang suportadong komunidad kung saan malugod ang mga tanong at malayang ibinabahagi ang kaalaman.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Kung mayroon kang feedback tungkol sa produkto o mga error habang nagtatayo, bisitahin:
|
||||
Kung mayroon kang feedback sa produkto o nagkaroon ng mga error habang nagtatayo, bisitahin:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Paunawa:
|
||||
Ang dokumentong ito ay isinalin gamit ang serbisyong pagsasalin ng AI na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagaman nagsusumikap kaming maging tumpak, pakitandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatumpak. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na awtoritatibong pinagmulan. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na maaaring magmula sa paggamit ng pagsasaling ito.
|
||||
**Pagsasaalang-alang**:
|
||||
Ang dokumentong ito ay isinalin gamit ang AI translation service na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagamat nagsusumikap kami para sa katumpakan, pakitandaan na ang awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o di-tumpak na impormasyon. Ang orihinal na dokumento sa sariling wika nito ang dapat ituring na pangunahing sanggunian. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na bunga ng paggamit ng pagsasaling ito.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,16 +1,16 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T12:23:44+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:54:24+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "vi"
|
||||
}
|
||||
-->
|
||||
[](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/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
|
|
@ -21,148 +21,160 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Trí Tuệ Nhân Tạo Cho Người Mới - Chương Trình Học
|
||||
# Trí Tuệ Nhân Tạo Cho Người Mới Bắt Đầu - Một Chương Trình Học
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| Trí Tuệ Nhân Tạo Cho Người Mới Bắt Đầu - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Khám phá thế giới của **Artificial Intelligence** (AI) với chương trình học 12 tuần, 24 bài học của chúng tôi! Nó bao gồm các bài học thực hành, bài kiểm tra và phòng thí nghiệm. Chương trình phù hợp cho người mới bắt đầu và bao quát các công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI
|
||||
Khám phá thế giới của **Trí Tuệ Nhân Tạo** (AI) với chương trình học 12 tuần, 24 bài học của chúng tôi! Nó bao gồm các bài học thực hành, bài kiểm tra và phòng thí nghiệm. Chương trình học thân thiện với người mới bắt đầu và bao gồm các công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI
|
||||
|
||||
### 🌐 Hỗ trợ Đa Ngôn ngữ
|
||||
|
||||
#### Hỗ trợ qua GitHub Action (Tự động & Luôn Cập nhật)
|
||||
### 🌐 Hỗ trợ đa ngôn ngữ
|
||||
|
||||
#### Được hỗ trợ qua GitHub Action (Tự động & Luôn cập nhật)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Tiếng Ả Rập](../ar/README.md) | [Tiếng Bengal](../bn/README.md) | [Tiếng Bulgaria](../bg/README.md) | [Tiếng Myanmar (Burmese)](../my/README.md) | [Tiếng Trung (Giản thể)](../zh/README.md) | [Tiếng Trung (Phồn thể, Hồng Kông)](../hk/README.md) | [Tiếng Trung (Phồn thể, Macau)](../mo/README.md) | [Tiếng Trung (Phồn thể, Đài Loan)](../tw/README.md) | [Tiếng Croatia](../hr/README.md) | [Tiếng Séc](../cs/README.md) | [Tiếng Đan Mạch](../da/README.md) | [Tiếng Hà Lan](../nl/README.md) | [Tiếng Estonia](../et/README.md) | [Tiếng Phần Lan](../fi/README.md) | [Tiếng Pháp](../fr/README.md) | [Tiếng Đức](../de/README.md) | [Tiếng Hy Lạp](../el/README.md) | [Tiếng Do Thái](../he/README.md) | [Tiếng Hindi](../hi/README.md) | [Tiếng Hungary](../hu/README.md) | [Tiếng Indonesia](../id/README.md) | [Tiếng Ý](../it/README.md) | [Tiếng Nhật](../ja/README.md) | [Tiếng Kannada](../kn/README.md) | [Tiếng Hàn](../ko/README.md) | [Tiếng Lithuania](../lt/README.md) | [Tiếng Mã Lai](../ms/README.md) | [Tiếng Malayalam](../ml/README.md) | [Tiếng Marathi](../mr/README.md) | [Tiếng Nepal](../ne/README.md) | [Tiếng Pidgin Nigeria](../pcm/README.md) | [Tiếng Na Uy](../no/README.md) | [Tiếng Ba Tư (Farsi)](../fa/README.md) | [Tiếng Ba Lan](../pl/README.md) | [Tiếng Bồ Đào Nha (Brazil)](../br/README.md) | [Tiếng Bồ Đào Nha (Portugal)](../pt/README.md) | [Tiếng Punjabi (Gurmukhi)](../pa/README.md) | [Tiếng Romania](../ro/README.md) | [Tiếng Nga](../ru/README.md) | [Tiếng Serbia (Cyrillic)](../sr/README.md) | [Tiếng Slovakia](../sk/README.md) | [Tiếng Slovenia](../sl/README.md) | [Tiếng Tây Ban Nha](../es/README.md) | [Tiếng Swahili](../sw/README.md) | [Tiếng Thụy Điển](../sv/README.md) | [Tiếng Tagalog (Filipino)](../tl/README.md) | [Tiếng Tamil](../ta/README.md) | [Tiếng Telugu](../te/README.md) | [Tiếng Thái](../th/README.md) | [Tiếng Thổ Nhĩ Kỳ](../tr/README.md) | [Tiếng Ukraina](../uk/README.md) | [Tiếng Urdu](../ur/README.md) | [Tiếng Việt](./README.md)
|
||||
[Tiếng Ả Rập](../ar/README.md) | [Tiếng Bengal](../bn/README.md) | [Tiếng Bulgaria](../bg/README.md) | [Tiếng Miến Điện (Myanmar)](../my/README.md) | [Tiếng Trung (Giản thể)](../zh/README.md) | [Tiếng Trung (Phồn thể, Hồng Kông)](../hk/README.md) | [Tiếng Trung (Phồn thể, Ma Cao)](../mo/README.md) | [Tiếng Trung (Phồn thể, Đài Loan)](../tw/README.md) | [Tiếng Croatia](../hr/README.md) | [Tiếng Séc](../cs/README.md) | [Tiếng Đan Mạch](../da/README.md) | [Tiếng Hà Lan](../nl/README.md) | [Tiếng Estonia](../et/README.md) | [Tiếng Phần Lan](../fi/README.md) | [Tiếng Pháp](../fr/README.md) | [Tiếng Đức](../de/README.md) | [Tiếng Hy Lạp](../el/README.md) | [Tiếng Hebrew](../he/README.md) | [Tiếng Hindi](../hi/README.md) | [Tiếng Hungary](../hu/README.md) | [Tiếng Indonesia](../id/README.md) | [Tiếng Ý](../it/README.md) | [Tiếng Nhật](../ja/README.md) | [Tiếng Kannada](../kn/README.md) | [Tiếng Hàn](../ko/README.md) | [Tiếng Lithuania](../lt/README.md) | [Tiếng Malay](../ms/README.md) | [Tiếng Malayalam](../ml/README.md) | [Tiếng Marathi](../mr/README.md) | [Tiếng Nepal](../ne/README.md) | [Tiếng Pidgin Nigeria](../pcm/README.md) | [Tiếng Na Uy](../no/README.md) | [Tiếng Ba Tư (Farsi)](../fa/README.md) | [Tiếng Ba Lan](../pl/README.md) | [Tiếng Bồ Đào Nha (Brazil)](../br/README.md) | [Tiếng Bồ Đào Nha (Bồ Đào Nha)](../pt/README.md) | [Tiếng Punjabi (Gurmukhi)](../pa/README.md) | [Tiếng Romania](../ro/README.md) | [Tiếng Nga](../ru/README.md) | [Tiếng Serbia (Chữ Cyrillic)](../sr/README.md) | [Tiếng Slovakia](../sk/README.md) | [Tiếng Slovenia](../sl/README.md) | [Tiếng Tây Ban Nha](../es/README.md) | [Tiếng Swahili](../sw/README.md) | [Tiếng Thụy Điển](../sv/README.md) | [Tiếng Tagalog (Philippines)](../tl/README.md) | [Tiếng Tamil](../ta/README.md) | [Tiếng Telugu](../te/README.md) | [Tiếng Thái](../th/README.md) | [Tiếng Thổ Nhĩ Kỳ](../tr/README.md) | [Tiếng Ukraina](../uk/README.md) | [Tiếng Urdu](../ur/README.md) | [Tiếng Việt](./README.md)
|
||||
|
||||
> **Ưu tiên sao chép về máy?**
|
||||
|
||||
> Kho lưu trữ này bao gồm hơn 50 bản dịch ngôn ngữ làm tăng đáng kể dung lượng tải về. Để sao chép mà không có bản dịch, hãy sử dụng sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Điều này cung cấp cho bạn mọi thứ bạn cần để hoàn thành khóa học với tốc độ tải về nhanh hơn nhiều.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Nếu bạn muốn hỗ trợ thêm các ngôn ngữ dịch khác được liệt kê [tại đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Tham gia Cộng đồng
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Bạn sẽ học được gì
|
||||
## Những gì bạn sẽ học
|
||||
|
||||
**[Sơ đồ tư duy của Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Bản đồ tư duy Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Trong chương trình này, bạn sẽ học:
|
||||
Trong chương trình học này, bạn sẽ học:
|
||||
|
||||
* Các phương pháp tiếp cận khác nhau đối với Trí tuệ Nhân tạo, bao gồm phương pháp ký hiệu "cũ tốt" với **Biểu diễn Tri thức** và suy luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Các phương pháp khác nhau trong Trí Tuệ Nhân Tạo, bao gồm phương pháp biểu diễn ký hiệu "cổ điển" với **Biểu diễn Kiến thức** và lý 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 hơi thiếu so với những gì là tiên tiến nhất.
|
||||
* Các phương pháp AI ít phổ biến hơn, chẳng hạn như **Thuật toán Di truyền** và **Hệ thống Đa Tác nhân**.
|
||||
* **Kiến trúc Mạng Nơ-ron** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ đề cập các mô hình gần đây nhưng có thể hơi thiếu một chút về trạng thái nghệ thuật hiện đại.
|
||||
* Các phương pháp AI ít phổ biến hơn, như **Thuật toán Di truyền** và **Hệ thống Đa Tác nhân**.
|
||||
|
||||
Những gì chúng tôi sẽ không đề cập trong chương trình này:
|
||||
Những gì chúng tôi sẽ không đề cập trong chương trình học 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 kinh doanh sử dụng **AI trong Kinh doanh**. Hãy cân nhắc tham gia lộ trình học [Giới thiệu về AI cho người dùng doanh nghiệp](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 hợp tác với [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning Kinh điển**, được mô tả kỹ trong [Chương trình Machine Learning cho Người mới bắt đầu](http://github.com/Microsoft/ML-for-Beginners) của chúng tôi.
|
||||
* Ứng dụng AI thực tiễn xây dựng bằng **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Đối với điều này, chúng tôi khuyên bạn bắt đầu với các module Microsoft Learn cho [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), **[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)** và các chủ đề khác.
|
||||
* Các **Framework Đám mây** ML cụ thể, chẳng hạn 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 các lộ trình học [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) và [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).
|
||||
* **Conversational AI** và **Chat Bots**. Có một lộ trình học riêng [Create conversational AI solutions](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 trên blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết chi tiết hơn.
|
||||
* **Toán học Sâu** đằng sau học sâu. Cho điều này, chúng tôi khuyên [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, cuốn sách cũng có sẵn trực tuyến tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Các trường hợp kinh doanh sử dụng **AI trong Doanh nghiệp**. Hãy cân nhắc tham gia con đường học [Giới thiệu AI cho người dùng doanh nghiệp](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 hợp tác với [INSEAD](https://www.insead.edu/).
|
||||
* **Học Máy Cổ điển**, được mô tả rõ trong [Chương trình Học Máy cho Người Mới Bắt Đầu](http://github.com/Microsoft/ML-for-Beginners) của chúng tôi.
|
||||
* Các ứng dụng AI thực tế xây dựng bằng **[Dịch vụ Nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Cho điều này, chúng tôi khuyên bạn bắt đầu với các module Microsoft Learn cho [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 **Khung Công tác 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 các con đường học [Xây dựng và vận hành giải pháp máy học 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 & Vận hành Giải pháp Máy học với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI Đàm thoại** và **Chat Bots**. Có con đường học riêng biệt [Tạo giải pháp AI đàm 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 đăng blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết.
|
||||
* **Toán học sâu** phía sau học sâu. Với điều này, chúng tôi đề xuất [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/).
|
||||
|
||||
Để có phần giới thiệu nhẹ nhàng về các chủ đề _AI trên Đám mây_ bạn có thể cân nhắc tham gia Lộ trình Học [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Để làm quen nhẹ nhàng với các chủ đề _AI trên Đám mây_, bạn có thể cân nhắc tham gia con đường học [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Nội dung
|
||||
|
||||
| | Liên kết bài học | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Liên kết Bài học | PyTorch/Keras/TensorFlow | Phòng thí nghiệm |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Thiết lập Khóa học](./lessons/0-course-setup/setup.md) | [Thiết lập Môi trường Phát triển của bạn](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Giới thiệu về AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Giới thiệu và Lịch sử của AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI Biểu tượng** |
|
||||
| 02 | [Biểu diễn Tri thức và Hệ chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ chuyên gia](./lessons/2-Symbolic/Animals.ipynb) / [Bản thể học](./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) | [Sổ ghi chép](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Bài Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron nhiều lớp và Tạo framework riêng của chúng ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Sổ ghi chép](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Bài Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Giới thiệu về Frameworks (PyTorch/TensorFlow) và Quá khớp](./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) | [Bài 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) | [Sổ ghi chép](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Bài 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) | [Bài Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Mạng đã được huấn luyện trước và Học chuyển giao](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [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) | [Bài Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoder và 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 | [Mạng Tạo Sinh Đối Kháng và Chuyển đổi Phong cách Nghệ thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Phát hiện đối tượng](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Bài Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Phân đoạn ngữ nghĩa. 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 | [**Xử lý ngôn ngữ tự nhiên**](./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) | [Khám phá Xử lý Ngôn ngữ Tự nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Biểu diễn Văn bản. 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 | [Nhúng từ ngữ nghĩa. Word2Vec và 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 | [Mô hình ngôn ngữ. Huấn luyện nhúng của riêng bạn](./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) | [Bài Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Mạng nơ-ron hồi tiếp](./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 | [Mạng hồi tiếp sinh tạo](./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) | [Bài Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 01 | [Giới thiệu và Lịch sử AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **AI Ký Hiệu** |
|
||||
| 02 | [Biểu diễn Kiến 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) | |
|
||||
| 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 đa lớp và Tạo khung làm việc 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 các khung làm việc (PyTorch/TensorFlow) và hiện tượng quá khớp](./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) |
|
||||
| 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 sẵn và Học truyền tải](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [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) | |
|
||||
| 10 | [Mạng Tạo Đối Kháng Sinh (GANs) và Chuyển Đổi Phong Cách Nghệ Thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Phát Hiện Đối Tượng](./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 | [Phân Đoạn Ngữ Nghĩa. 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 | [**Xử Lý Ngôn Ngữ Tự Nhiên**](./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) | [Khám Phá Xử Lý Ngôn Ngữ Tự Nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Biểu Diễn Văn Bản. 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 | [Biểu Diễn Từ Ngữ Ngữ Nghĩa. Word2Vec và 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 | [Mô Hình Ngôn Ngữ. Huấn luyện biểu diễn ngôn ngữ của bạn](./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 | [Mạng Nơ-ron Tái hiện](./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 | [Mạng Tái hiện Sinh tạo](./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 | [Nhận dạng thực thể có tên](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Bài Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Mô hình ngôn ngữ lớn, Lập trình prompt và tác vụ 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 | **Các kỹ thuật AI khác** || |
|
||||
| 21 | [Thuật toán di truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Sổ ghi chép](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Học tăng cường sâu](./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) | [Bài Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Hệ thống đa tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Đạo đức AI** | | |
|
||||
| 24 | [Đạo đức AI và Trách nhiệm trong AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI có trách nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Phần bổ sung** | | |
|
||||
| 25 | [Mạng đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Sổ ghi chép](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 19 | [Nhận diện Thực thể Được đặt tên](./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 | [Mô hình Ngôn ngữ Lớn, Lập trình Prompt và Các tác vụ 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 | **Các Kỹ Thuật AI Khác** || |
|
||||
| 21 | [Thuật Toán Di Truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Học Tăng Cường Sâu](./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 | [Hệ thống Đa Tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Đạo Đức AI** | | |
|
||||
| 24 | [Đạo Đức AI và AI Có Trách Nhiệm](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI Có Trách Nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Phần Bổ Sung** | | |
|
||||
| 25 | [Mạng Đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Mỗi bài học bao gồm
|
||||
|
||||
* Tài liệu đọc trước
|
||||
* Các Sổ ghi chép Jupyter có thể thực thi, thường là dành riêng cho framework (**PyTorch** hoặc **TensorFlow**). Sổ ghi chép có thể thực thi cũng chứa nhiều nội dung lý thuyết, vì vậy để hiểu chủ đề bạn cần xem qua ít nhất một phiên bản của sổ ghi chép (hoặc PyTorch hoặc TensorFlow).
|
||||
* **Labs** có sẵn cho một số chủ đề, cho bạn cơ hội thử áp dụng những gì bạn đã học vào một vấn đề cụ thể.
|
||||
* Một số phần chứa liên kết đến [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) các module bao gồm các chủ đề liên quan.
|
||||
* Các Jupyter Notebook có thể chạy được, thường dành riêng cho khung làm việc (**PyTorch** hoặc **TensorFlow**). Các notebook này cũng chứa nhiều tài liệu lý thuyết, vì vậy để hiểu chủ đề bạn cần làm qua ít nhất một phiên bản notebook (hoặc PyTorch hoặc TensorFlow).
|
||||
* **Phòng thí nghiệm** có sẵn cho một số chủ đề, giúp bạn có cơ hội áp dụng tài liệu đã học vào một vấn đề cụ thể.
|
||||
* Một số phần có liên kết đến các mô-đun [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) liên quan.
|
||||
|
||||
## Bắt đầu
|
||||
|
||||
### 🎯 Mới với AI? Bắt đầu tại đây!
|
||||
### 🎯 Mới với AI? Bắt đầu ở đây!
|
||||
|
||||
Nếu bạn hoàn toàn mới với AI và muốn các ví dụ thực hành nhanh chóng, hãy xem [**Ví dụ Dành cho Người mới bắt đầu**](./examples/README.md)! Chúng bao gồm:
|
||||
Nếu bạn hoàn toàn mới với AI và muốn có các ví dụ thực hành nhanh, hãy xem [**Ví dụ thân thiện cho người mới bắt đầu**](./examples/README.md)! Bao gồm:
|
||||
|
||||
- 🌟 **Hello AI World** - Chương trình AI đầu tiên của bạn (nhận dạng mẫu)
|
||||
- 🧠 **Mạng nơ-ron đơn giản** - Xây dựng một mạng nơ-ron từ đầu
|
||||
- 🖼️ **Bộ phân loại ảnh** - Phân loại hình ảnh với chú thích chi tiết
|
||||
- 🌟 **Chào Thế Giới AI** - Chương trình AI đầu tiên của bạn (nhận dạng mẫu)
|
||||
- 🧠 **Mạng Nơ-ron Đơn giản** - Xây dựng một mạng nơ-ron từ đầu
|
||||
- 🖼️ **Phân loại Hình ảnh** - Phân loại hình ảnh với chú thích chi tiết
|
||||
- 💬 **Cảm xúc văn bản** - Phân tích văn bản tích cực/tiêu cực
|
||||
|
||||
These examples are designed to help you understand AI concepts before diving into the full curriculum.
|
||||
Những ví dụ này được thiết kế để giúp bạn hiểu các khái niệm AI trước khi đi sâu vào toàn bộ chương trình học.
|
||||
|
||||
### 📚 Thiết lập Toàn bộ Chương trình học
|
||||
### 📚 Thiết lập toàn bộ chương trình học
|
||||
|
||||
- We have created a [bài học thiết lập](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Dành cho giáo viên, we have created a [bài học thiết lập chương trình học](./lessons/0-course-setup/for-teachers.md) for you too!
|
||||
- How to [Chạy mã trong VSCode hoặc a Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Chúng tôi đã tạo một [bài học cài đặt](./lessons/0-course-setup/setup.md) để giúp bạn thiết lập môi trường phát triển.
|
||||
- Dành cho các nhà giáo dục, chúng tôi cũng đã tạo một [bài học thiết lập chương trình học](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Cách [chạy mã trong VSCode hoặc Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
Hãy làm theo các bước sau:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fork Repository: Nhấn nút "Fork" ở góc trên bên phải của trang này.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Đừng quên bấm sao (🌟) repo này để dễ tìm lại sau.
|
||||
|
||||
## Gặp gỡ những người học khác
|
||||
## Gặp gỡ các học viên khác
|
||||
|
||||
Join our [máy chủ Discord chính thức về AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support.
|
||||
Tham gia [máy chủ Discord AI chính thức của chúng tôi](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) để gặp gỡ và kết nối với những người học khác đang theo khóa học này và nhận được sự hỗ trợ.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [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 quá trình xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzes
|
||||
## Trắc nghiệm
|
||||
|
||||
> **Một ghi chú về các bài kiểm tra**: Tất cả các bài kiểm tra nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized.
|
||||
> **Một lưu ý về các bài kiểm tra:** Tất cả các bài kiểm tra đều nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/). Chúng được liên kết từ bên trong các bài học, ứng dụng quiz có thể chạy cục bộ hoặc triển khai lên Azure; hãy làm theo hướng dẫn trong thư mục `quiz-app`. Chúng đang được dần dần dịch địa phương hóa.
|
||||
|
||||
## Cần giúp đỡ
|
||||
## Cần sự giúp đỡ
|
||||
|
||||
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
|
||||
Bạn có đề xuất hoặc phát hiện lỗi chính tả hoặc mã? Hãy tạo issue hoặc gửi pull request.
|
||||
|
||||
## Lời cảm ơn đặc biệt
|
||||
## Tri ân đặc biệt
|
||||
|
||||
* **✍️ Tác giả chính:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Biên tập:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **✍️ Tác giả chính:** [Dmitry Soshnikov](http://soshnikov.com), Tiến sĩ
|
||||
* **🔥 Biên tập viên:** [Jen Looper](https://twitter.com/jenlooper), Tiến sĩ
|
||||
* **🎨 Minh họa sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Người tạo quiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Cộng tác viên chính:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✅ Người tạo bài kiểm tra:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Những đóng góp chính:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Các chương trình học khác
|
||||
|
||||
Our team produces other curricula! Check out:
|
||||
Đội ngũ của chúng tôi còn phát triển các chương trình học khác! Hãy xem:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -175,48 +187,48 @@ Our team produces other curricula! Check out:
|
|||
[](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)
|
||||
|
||||
---
|
||||
|
||||
### Chuỗi AI Tạo Sinh
|
||||
[](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)
|
||||
### Loạt bài AI Tạo sinh
|
||||
[](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)
|
||||
|
||||
---
|
||||
|
||||
### Học cốt lõi
|
||||
### 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/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)
|
||||
### Loạt bài 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)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Nhận trợ giúp
|
||||
## Nhận giúp đỡ
|
||||
|
||||
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.
|
||||
Nếu bạn bị kẹt hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI, hãy tham gia cùng các học viên và nhà phát triển có kinh nghiệm 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)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you have product feedback or errors while building visit:
|
||||
Nếu bạn có phản hồi về sản phẩm hoặc lỗi trong quá trình xây dựng, hãy truy cập:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
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 nỗ lực để 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 gốc của nó nên được coi là nguồn chính thức. Đối với những thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp do con người thực hiện. Chúng tôi không chịu trách nhiệm về bất kỳ hiểu nhầm hoặc giải thích sai nào phát sinh từ việc sử dụng bản dịch này.
|
||||
**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 gốc nên được coi là nguồn thông tin chính thức. Đối với những thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hay giải thích sai nào phát sinh từ việc sử dụng bản dịch này.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
Loading…
Reference in New Issue