49 lines
1.9 KiB
Markdown
49 lines
1.9 KiB
Markdown
# AI
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## Introduction to AI
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- [AI Definition](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
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- [History of AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
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- [Approaches to AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai)
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## Sybmbolic AI
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- Knowledge Representation
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- Expert Systems
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## [Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/README.md)
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- [Perceptron](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/03-Perceptron/README.md)
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- [Multi-Layered Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/04-OwnFramework/README.md)
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- [Intro to Frameworks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/README.md)
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- [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
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- [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
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- [Overfitting](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/Overfitting.md)
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## Computer Vision
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- Intro to CV. OpenCV
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- Convolutional Networks
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- Training Tricks
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- Architectures
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- Trasnsfer Learning
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- Autoencoders and VAEs
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- Generative Adversarial Networks
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- Object Detection
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- Segmentation
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## Natural Language Processing
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- Text Representation
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- Bag of Words
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- TF/IDF
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- Semantic Embeddings
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- Word2Vec
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- GloVE
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- Language Modeling
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- Recurrent Neural Networks
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- Generative Recurrent Networks
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- Transformers and BERT
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- Named Entity Recognition
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- Text Generation and GPT
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## Other Techniques
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- Genetic Algorithms
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- Deep Reinforcement Learning
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- Multi-Agent Systems
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## AI Ethics |