[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) [](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) [](http://makeapullrequest.com) [](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) [](https://GitHub.com/microsoft/AI-For-Beginners/network/) [](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [](https://discord.gg/nTYy5BXMWG) # 初學者人工智能課程 || |:---:| | AI For Beginners - _速寫圖，由 [@girlie_mac](https://twitter.com/girlie_mac)_ | 透過我們為期 12 週、共 24 節的課程，探索 **人工智能**（AI）的世界！課程包含實作課程、測驗與實驗室。此課程適合初學者，涵蓋像 TensorFlow 與 PyTorch 等工具，以及 AI 倫理等主題。 ### 🌐 多語言支援 #### 透過 GitHub Action 支援（自動且持續更新） [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/README.md) | [中文（繁體，香港）](../hk/README.md) | [中文（繁體，澳門）](./README.md) | [中文（繁體，台灣）](../tw/README.md) | [克羅地亞語](../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) | [坎那達語](../kn/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) | [奈及利亞皮欽語](../pcm/README.md) | [挪威語](../no/README.md) | [波斯語（法爾西）](../fa/README.md) | [波蘭語](../pl/README.md) | [葡萄牙語（巴西）](../br/README.md) | [葡萄牙語（葡萄牙）](../pt/README.md) | [旁遮普語（古魯穆奇）](../pa/README.md) | [羅馬尼亞語](../ro/README.md) | [俄語](../ru/README.md) | [塞爾維亞語（西里爾）](../sr/README.md) | [斯洛伐克語](../sk/README.md) | [斯洛維尼亞語](../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）](../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) **如果你想要新增更多翻譯語言，支援的語言列表請見 [這裡](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## 加入社群 [](https://discord.gg/nTYy5BXMWG) ## 你將學到的內容 **[課程心智圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** 在本課程中，你將學到： * 不同的人工智能方法，包括「老派」的符號方法，搭配 **知識表示** 與推論（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。 * 位於現代 AI 核心的 **神經網絡** 與 **深度學習**。我們會使用兩個最受歡迎的框架 — [TensorFlow](http://Tensorflow.org) 與 [PyTorch](http://pytorch.org) 的程式碼來說明這些重要主題背後的概念。 * 用於處理影像與文字的 **神經架構**。我們會涵蓋近期的模型，但在最先進技術方面可能會有些不足。 * 較少見的 AI 方法，例如 **遺傳演算法** 與 **多代理系統**。 本課程不會涵蓋的內容： > [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) * 在商業上使用 **AI 的商業案例**。建議參加 Microsoft Learn 上的 [面向商業使用者的 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 Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。 * **經典機器學習**，詳細內容請參考我們的 [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)。 * 使用 **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 建立的實務 AI 應用。對此，我們建議你先從 Microsoft Learn 的 [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等模組開始學習。 * 特定的機器學習 **雲端框架**，例如 [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)、[Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議參考 [使用 Azure Machine Learning 構建並營運機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 與 [使用 Azure Databricks 構建並營運機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 的學習路徑。 * **會話式 AI** 與 **聊天機器人**。有一個專門的 [建立會話式 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，你也可以參考 [這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 以獲取更多細節。 * 深度學習背後的 **深層數學**。對此我們推薦 Ian Goodfellow、Yoshua Bengio 與 Aaron Courville 所著的 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，該書也可在線上於 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) 取得。 若想對「雲端上的 AI（AI in the Cloud）」主題做溫和的入門，可以考慮參加 [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) 的學習路徑。 # 內容 | | 課程連結 | PyTorch/Keras/TensorFlow | 實驗室 | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [課程設定](./lessons/0-course-setup/setup.md) | [設定你的開發環境](./lessons/0-course-setup/how-to-run.md) | | | I | [**人工智能導論**](./lessons/1-Intro/README.md) | | | | 01 | [人工智能的介紹與歷史](./lessons/1-Intro/README.md) | - | - | | II | **符號式人工智能** | | 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**神經網絡導論**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | | 04 | [多層感知器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) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [框架簡介 (PyTorch/TensorFlow) 與過擬合](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**電腦視覺**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [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) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [捲積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | | 08 | [預訓練網絡與遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [自編碼器與變分自編碼器](./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) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [語義分割。U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | | V | [**自然語言處理**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [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。詞袋/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。訓練你自己的嵌入向量](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [實驗室](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [循環神經網絡](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [生成型循環網絡](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [實驗室](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformer。BERT。](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 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) | [實驗室](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [大型語言模型、提示工程與少量示例任務](./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) | [實驗室](./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 倫理與負責任的人工智慧](./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 | [**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) | | ## 每堂課包含 * 課前閱讀資料 * 可執行的 Jupyter 筆記本，通常會針對特定框架（**PyTorch** 或 **TensorFlow**）。可執行的筆記本也包含大量理論內容，因此要理解主題，您需要至少閱讀其中一個版本的筆記本（PyTorch 或 TensorFlow 其中之一）。 * **實驗室**（Labs）適用於部分主題，讓您有機會將所學應用到特定問題上。 * 部分章節包含連結到 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 的模組，涵蓋相關主題。 ## 入門 ### 🎯 AI 新手？從這裡開始！ 如果您完全沒有 AI 經驗，想要快速的實作範例，請參閱我們的 [**新手友善範例**](./examples/README.md)! 這些範例包括： - 🌟 **Hello AI 世界** - 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 - 🖼️ **影像分類器** - 使用詳細註解進行影像分類 - 💬 **文字情感** - 分析正面/負面文字 These examples are designed to help you understand AI concepts before diving into the full curriculum. ### 📚 完整課程設定 - 我們已建立了一個 [設定教學](./lessons/0-course-setup/setup.md) 以協助你設定開發環境。 - 對於教育工作者，我們也為你建立了一個 [課程設定教學](./lessons/0-course-setup/for-teachers.md)！ - 如何 [在 VSCode 或 Codepace 執行程式碼](./lessons/0-course-setup/how-to-run.md) Follow these steps: Fork the Repository: Click on the "Fork" button at the top-right corner of this page. Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` Don't forget to star (🌟) this repo to find it easier later. ## Meet other Learners Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ## Quizzes > **關於測驗的一點說明**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Here](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. ## Help Wanted Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. ## Special Thanks * **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 編輯：** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Sketchnote 插畫者：** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ 測驗製作者：** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 核心貢獻者：** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Other Curricula Our team produces other curricula! Check out: ### LangChain [](https://aka.ms/langchain4j-for-beginners) [](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents [](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [](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) --- ### 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) --- ### 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) ## Getting Help If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. [](https://discord.gg/nTYy5BXMWG) If you have product feedback or errors while building visit: [](https://aka.ms/foundry/forum) --- 免責聲明： 本文件已使用 AI 翻譯服務 Co-op Translator（https://github.com/Azure/co-op-translator）進行翻譯。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。原始語言之文件應視為具權威性的版本。對於重要或關鍵資訊，建議採用專業人工翻譯。我們對因使用此翻譯而導致之任何誤解或誤譯概不負責。