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# 人工智慧 (AI)

## [人工智慧簡介](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
 - 人工智慧的定義
 - 人工智慧的歷史
 - 人工智慧的方法
     - 自上而下/符號式
     - 自下而上/神經網路
     - 演化式
     - 協同/湧現式人工智慧
 - [微軟人工智慧商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)

## [符號式人工智慧](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
 - 知識表示
 - [專家系統](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
 - [本體論](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
 - 語意網

## [神經網路](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
 - [感知器](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
 - [多層網路](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
 - [框架簡介](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
   - [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
   - [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
   - [過擬合](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)

## [電腦視覺](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
 - 在微軟學習平台上
    - [人工智慧基礎：探索電腦視覺](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
    - [使用 PyTorch 的電腦視覺](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
    - [使用 TensorFlow 的電腦視覺](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
 - [電腦視覺簡介：OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
 - [卷積網路](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
   - [卷積神經網路架構](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
 - [遷移學習](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
   - [訓練技巧](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
 - [自編碼器與變分自編碼器 (VAEs)](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
 - [生成對抗網路 (GANs)](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
 - [風格遷移](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
 - [物件偵測](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
 - [影像分割](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)

## [自然語言處理](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
 - 在微軟學習平台上
    - [人工智慧基礎：探索自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
    - [使用 PyTorch 的自然語言處理](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
    - [使用 TensorFlow 的自然語言處理](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
 - [文本表示](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
    - 詞袋模型 (Bag of Words)
    - TF/IDF
 - [語意嵌入](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
    - Word2Vec
    - GloVE
 - [語言建模](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
 - [循環神經網路 (RNN)](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
     - 長短期記憶網路 (LSTM)
     - 閘控循環單元 (GRU)
 - [生成式循環網路](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
 - [Transformer 和 BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
 - [命名實體識別 (NER)](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
 - [文本生成與 GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)

## 其他技術
 - [遺傳演算法](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
 - [深度強化學習](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
 - [多代理系統](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)

## [人工智慧倫理](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
 - [微軟學習平台上的負責任人工智慧](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)

## 附加內容
 - [多模態網路](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
   - [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
   - DALL-E
   - VQ-GAN

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