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[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
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[](https://discord.gg/nTYy5BXMWG)
# 人工智慧初學者課程
||
|:---:|
| AI For Beginners - _速寫筆記由 [@girlie_mac](https://twitter.com/girlie_mac) 製作_ |
使用我們為期 12 週、共 24 課的課程，探索人工智慧（AI）的世界！課程包含實務課程、小測驗和實驗室。課程對初學者友好，涵蓋了 TensorFlow 和 PyTorch 等工具，以及 AI 的倫理議題。
### 🌐 多語言支援
#### 透過 GitHub Action 支援（自動且永遠保持最新）
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](./README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../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)
> **偏好本機克隆？**
>
> 本儲存庫包含 50 多種語言的翻譯，這會顯著增加下載大小。如需克隆不包含翻譯的版本，請使用稀疏檢出：
>
> **Bash / macOS / Linux:**
> ```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'
> ```
>
> **CMD (Windows):**
> ```cmd
> 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"
> ```
>
> 這樣可以讓您以更快的速度下載完成課程所需的一切。
**想要新增其他翻譯語言嗎？支援的語言列表請參考 [這裡](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## 加入社群
[](https://discord.gg/nTYy5BXMWG)
## 你將學到什麼
**[課程心智圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
在本課程中，你將學習：
* 不同的人工智慧方法，包括「經典的」符號主義方法，利用知識表示與推理 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
* 神經網路與深度學習，這是現代 AI 的核心。我們會用兩個最流行的框架——[TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的程式示範來說明這些重要概念。
* 運用於影像和文本的神經架構。我們會介紹近期的模型，但可能略微缺乏最先進的技術。
* 不太主流的 AI 方法，如遺傳演算法和多代理系統。
本課程不包含的內容：
> [在我們的 Microsoft Learn 集合中找到本課程所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* **AI 在商業中的應用案例**。建議學習 Microsoft Learn 上的 [商業用戶人工智慧入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 或與 [INSEAD](https://www.insead.edu/) 合作開發的 [AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
* 經典機器學習，詳見我們的 [機器學習初學者課程](http://github.com/Microsoft/ML-for-Beginners)。
* 利用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 建置的實務 AI 應用。推薦先從 Microsoft Learn 的 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[利用 Azure OpenAI 服務的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等模組開始。
* 特定的 ML 雲端框架，如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議使用 [使用 Azure Machine Learning 建置與操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 建置與操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 自學路徑。
* **對話式 AI** 和 聊天機器人。另有專門的 [建立對話式 AI 解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 自學路徑，還可參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)。
* 深度學習背後的數學原理。推薦閱讀 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 所著的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，線上版本亦可參考 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
想要輕鬆入門 _雲端 AI_ 主題，可以考慮 Microsoft Learn 提供的 [在 Azure 上開始人工智慧](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 自學路徑。
# 內容
| | 課程連結 | PyTorch/Keras/TensorFlow | 實驗室 |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [課程設置](./lessons/0-course-setup/setup.md) | [如何設定您的開發環境](./lessons/0-course-setup/how-to-run.md) | |
| I | [人工智慧簡介](./lessons/1-Intro/README.md) | | |
| 01 | [人工智慧介紹與歷史](./lessons/1-Intro/README.md) | - | - |
| II | **符號 AI** |
| 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [神經網路簡介](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [多層感知器與建立我們自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [框架簡介（PyTorch/TensorFlow）及過擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [電腦視覺](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [在 Microsoft Azure 探索電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [電腦視覺入門。OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [卷積神經網路](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 結構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [預訓練網路及轉移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [自編碼器與變分自編碼器](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [生成對抗網路及藝術風格轉換](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [目標檢測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [語義分割。U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [自然語言處理](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [在 Microsoft Azure 探索自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [文本表示。Bag of Words/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 | [語義詞嵌入。Word2Vec 與 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 | [語言模型。訓練你自己的嵌入](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [實驗](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [循環神經網路](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [生成循環網路](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [實驗](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformer。BERT。](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [命名實體識別](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [實驗](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [大型語言模型、提示編程及少量示範任務](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **其他 AI 技術** || |
| 21 | [遺傳演算法](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [筆記本](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [深度強化學習](./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) | [實驗](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [多代理系統](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI 倫理** | | |
| 24 | [AI 倫理與負責任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任的 AI 原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | 額外資源 | | |
| 25 | [多模態網路、CLIP 與 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## 每個課程包含
* 預先閱讀材料
* 可執行的 Jupyter 筆記本，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行的筆記本也包含大量理論材料，因此要理解主題，至少需要閱讀其中一個版本的筆記本（PyTorch 或 TensorFlow 其中一個）。
* 一些主題提供的 實驗室，讓你有機會嘗試將所學知識應用到具體問題中。
* 部分章節包含指向涵蓋相關主題的 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結。
## 入門指南
### 🎯 AI 新手？從這裡開始！
如果你完全是 AI 新手，想要快速且實作的範例，請查看我們的[新手友好範例](./examples/README.md)！範例如下：
- 🌟 **Hello AI World** - 你的第一個 AI 程式（模式識別）
- 🧠 簡單神經網路 - 從頭構建神經網路
- 🖼️ 影像分類器 - 使用詳細說明進行影像分類
- 💬 文字情感分析 - 分析正面/負面文字
這些範例旨在幫助你理解 AI 概念，為進入完整課程作準備。
### 📚 完整課程設定
- 我們已建立一個 [設定課程](./lessons/0-course-setup/setup.md)，協助你完成開發環境的安裝。
- 教育者專用的 [課程設定指南](./lessons/0-course-setup/for-teachers.md) 也已準備好！
- 如何在 VSCode 或 Codespace 中 [執行程式碼詳見此處](./lessons/0-course-setup/how-to-run.md)
按照以下步驟操作：
Fork 該倉庫：點擊本頁右上角的「Fork」按鈕。
Clone 該倉庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
別忘了給此倉庫點星（🌟），日後較易尋找。
## 認識其他學習者
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與其他學習此課程的學員交流及尋求支援。
如果你在構建過程中有產品意見或疑問，請訪問我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)
## 小測驗
> 關於小測驗的說明：所有小測驗均位於 `etc\quiz-app` 資料夾中的 Quiz-app 資料夾，或可[在線上存取](https://ff-quizzes.netlify.app/)。這些小測驗在課程內有鏈結，且可本地運行或部署至 Azure；請依照 `quiz-app` 資料夾內的說明操作。小測驗正在逐步本地化中。
## 需要幫助
你有建議或發現拼寫或程式碼錯誤嗎？歡迎提出 issue 或建立 pull request。
## 特別致謝
* **✍️ 主要作者:** [Dmitry Soshnikov](http://soshnikov.com), 博士
* **🔥 編輯:** [Jen Looper](https://twitter.com/jenlooper), 博士
* **🎨 筆記插畫:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 小測驗出題:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 核心貢獻者:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## 其他課程
我們團隊也製作其他課程！請參考：
### LangChain
[](https://aka.ms/langchain4j-for-beginners)
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[](https://github.com/microsoft/langchain-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)
---
### 生成式 AI 系列
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
---
### 核心學習
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Copilot 系列
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
## 尋求協助
如果你卡關或在構建 AI 應用程式時有任何問題，歡迎加入學員與資深開發者的討論社群——MCP 社群。這裡是個支持性的社群，歡迎提問並自由分享知識。
[](https://discord.gg/nTYy5BXMWG)
如有產品反饋或構建時發現錯誤，請造訪：
[](https://aka.ms/foundry/forum)
---
**免責聲明**：
本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們力求準確，但請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應視為權威來源。對於重要資訊，建議採用專業人工翻譯。我們對於因使用本翻譯而產生的任何誤解或誤譯不負任何責任。