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[](https://discord.gg/nTYy5BXMWG)
# 初學者人工智能課程
||
|:---:|
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
透過我們為期12星期、共24課的課程，探索人工智能（AI）的世界！課程包含實踐課程、測驗及實驗室。課程適合初學者，涵蓋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（自動及隨時更新）
[阿拉伯語](../ar/README.md) | [孟加拉語](../bn/README.md) | [保加利亞語](../bg/README.md) | [緬甸語 (緬甸)](../my/README.md) | [中文 (簡體)](../zh-CN/README.md) | [中文 (繁體，香港)](../zh-HK/README.md) | [中文 (繁體，澳門)](./README.md) | [中文 (繁體，台灣)](../zh-TW/README.md) | [克羅地亞語](../hr/README.md) | [捷克語](../cs/README.md) | [丹麥語](../da/README.md) | [荷蘭語](../nl/README.md) | [愛沙尼亞語](../et/README.md) | [芬蘭語](../fi/README.md) | [法語](../fr/README.md) | [德語](../de/README.md) | [希臘語](../el/README.md) | [希伯來語](../he/README.md) | [印地語](../hi/README.md) | [匈牙利語](../hu/README.md) | [印尼語](../id/README.md) | [義大利語](../it/README.md) | [日語](../ja/README.md) | [坎納達語](../kn/README.md) | [高棉語](../km/README.md) | [韓語](../ko/README.md) | [立陶宛語](../lt/README.md) | [馬來語](../ms/README.md) | [馬拉雅拉姆語](../ml/README.md) | [馬拉地語](../mr/README.md) | [尼泊爾語](../ne/README.md) | [尼日利亞皮欽語](../pcm/README.md) | [挪威語](../no/README.md) | [波斯語 (法爾西語)](../fa/README.md) | [波蘭語](../pl/README.md) | [葡萄牙語 (巴西)](../pt-BR/README.md) | [葡萄牙語 (葡萄牙)](../pt-PT/README.md) | [旁遮普語 (古魯穆奇文)](../pa/README.md) | [羅馬尼亞語](../ro/README.md) | [俄語](../ru/README.md) | [塞爾維亞語 (西里爾字母)](../sr/README.md) | [斯洛伐克語](../sk/README.md) | [斯洛文尼亞語](../sl/README.md) | [西班牙語](../es/README.md) | [斯瓦希里語](../sw/README.md) | [瑞典語](../sv/README.md) | [他加祿語 (菲律賓語)](../tl/README.md) | [泰米爾語](../ta/README.md) | [泰盧固語](../te/README.md) | [泰語](../th/README.md) | [土耳其語](../tr/README.md) | [烏克蘭語](../uk/README.md) | [烏爾都語](../ur/README.md) | [越南語](../vi/README.md)
> **想本地克隆？**
>
> 此儲存庫包含50多種語言翻譯，會大幅增加下載大小。若想不含翻譯檔案克隆，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"
> ```
>
> 這樣能更快下載，並取得完成本課程所需所有內容。
**若希望增添其他支援語言，請參閱 [此處](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## 加入社群
[](https://discord.gg/nTYy5BXMWG)
## 你將學習到什麼
**[課程心智圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
本課程將教你：
* 不同的人工智能方法，包括「經典」符號方法，涵蓋知識表示與推理（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
* 神經網絡與深度學習，是現代AI的核心。我們將用兩大熱門框架的代碼來示範這些重要主題的概念——[TensorFlow](http://Tensorflow.org)及[PyTorch](http://pytorch.org)。
* 用於圖像與文本的神經結構。我們會介紹近期模型，但或許不完全涵蓋最新前沿。
* 較少流行的AI方法，如遺傳算法與多智能體系統。
本課程將不涵蓋的內容：
> [在我們的 Microsoft Learn 集合中找到本課程的所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* 商業應用中的AI業務案例。建議參加Microsoft Learn上的[面向商務用戶的AI入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)學習路徑，或由[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，詳述於我們的[機器學習初學者課程](http://github.com/Microsoft/ML-for-Beginners)。
* 使用[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)建立的實用AI應用。建議先從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)等模塊開始。
* 特定的機器學習雲端框架，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)。建議參考[在 Azure Machine Learning 上建立及運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum)及[在 Azure Databricks 上建立及運營機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)學習路徑。
* 對話式AI及聊天機械人。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)學習路徑，也可參考[此篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)了解更多。
* 深入的深度學習數學。推薦參考 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的[深度學習](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)一書，線上版可見於[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
若想輕鬆入門 _雲端上的AI_ 主題，可考慮學習[在Azure上開始使用人工智能](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)學習路徑。
# 內容
| | 課程連結 | PyTorch/Keras/TensorFlow | 實驗室 |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [課程設置](./lessons/0-course-setup/setup.md) | [設置您的開發環境](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI簡介**](./lessons/1-Intro/README.md) | | |
| 01 | [人工智能簡介及歷史](./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 | [神經網絡入門](./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 | [框架入門（PyTorch/TensorFlow）及過度擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗](./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 | [卷積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [預訓練網絡與遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [自編碼器與變分自編碼器 (VAEs)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [生成對抗網絡與藝術風格遷移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [物件偵測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗](./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 | [文字表示。詞袋模型／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 | [語意詞嵌入。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。訓練自己的詞嵌入](./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 | [循環神經網絡](./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 | [生成循環網絡](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [實驗](./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 | [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、提示編程與少量示例任務](./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 | [基因演算法](./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 | [多智能體系統](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI 倫理** | | |
| 24 | [AI 倫理與負責任 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 负责任的 AI 原则](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | 額外內容 | | |
| 25 | [多模態網絡、CLIP 與 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## 每課包含
* 預讀資料
* 可執行的 Jupyter 筆記本，通常針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行筆記本還包含大量理論內容，因此要理解主題，您至少需要瀏覽一個版本的筆記本（PyTorch 或 TensorFlow 其中一個）。
* 一些主題提供的 實驗室，讓您有機會嘗試將所學材料應用於特定問題。
* 部分章節包含連結至涵蓋相關主題的 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組。
## 入門指南
### 🎯 AI 新手？從這裡開始！
如果您完全是 AI 新手並想要快速進行實作範例，請參考我們的 [初學者友善範例](./examples/README.md)！這些範例包括：
- 🌟 **Hello AI World** - 您的第一個 AI 程式（模式識別）
- 🧠 簡單神經網絡 - 從零開始構建神經網絡
- 🖼️ 圖像分類器 - 使用詳細註解的圖像分類
- 💬 文本情感分析 - 分析正面/負面文本
這些範例旨在幫助您在深入完整課程之前理解 AI 概念。
### 📚 完整課程設定
- 我們已建立了一個[設定課程](./lessons/0-course-setup/setup.md)協助您設定開發環境。 - 針對教師，我們也建立了一個[課程設定教學](./lessons/0-course-setup/for-teachers.md)！
- 如何[在 VSCode 或 Codespace 中執行程式碼](./lessons/0-course-setup/how-to-run.md)
請依照以下步驟：
Fork 倉庫：點擊頁面右上角的「Fork」按鈕。
Clone 倉庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
別忘了為此倉庫點星 (🌟)，以方便日後尋找。
## 與其他學習者相見
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，認識並與其他修讀此課程的學習者交流，並獲得支援。
若在開發過程中有產品意見或問題，請前往我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)
## 測驗
> 關於測驗的小提醒：所有測驗均位於 Quiz-app 資料夾中等路徑 etc\quiz-app，亦可[線上存取](https://ff-quizzes.netlify.app/)。它們在課程中有連結，且測驗應用程式可以本地執行或部署至 Azure；請依 `quiz-app` 資料夾中的說明操作。測驗逐步進行本地化。
## 徵求協助
您有建議或發現拼寫或程式碼錯誤嗎？請提出 issue 或發起 pull request。
## 特別感謝
* **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com), 博士
* **🔥 編輯：** [Jen Looper](https://twitter.com/jenlooper), 博士
* **🎨 筆記插畫師：** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 測驗製作人：** [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
我們的團隊還製作其他課程！請查閱：
### 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
如果您遇到瓶頸或在建置 AI 應用時有任何疑問，加入其他學習者及經驗豐富開發者的討論吧。這是一個支持性強、歡迎發問且樂於分享知識的社群。
[](https://discord.gg/nTYy5BXMWG)
若在開發過程中有產品意見或錯誤，請前往：
[](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。原文所用的本地語言版本應被視為權威版本。對於重要資訊，建議使用專業人工翻譯。我們對因使用本翻譯而產生的任何誤解或誤釋不承擔任何責任。