microsoft/AI-For-Beginners
Publicmirrored fromhttps://github.com/microsoft/AI-For-BeginnersAvailable
etc/Mindmap.md
56lines · modecode
| 1 | # AI |
| 2 | |
| 3 | ## Introduction to AI |
| 4 | - [AI Definition](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai) |
| 5 | - [History of AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai) |
| 6 | - [Approaches to AI](https://github.com/microsoft/AI-For-Beginners/blob/main/1-Intro/README.md#different-approaches-to-ai) |
| 7 | |
| 8 | ## Sybmbolic AI |
| 9 | - Knowledge Representation |
| 10 | - Expert Systems |
| 11 | |
| 12 | ## [Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/README.md) |
| 13 | - [Perceptron](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/03-Perceptron/README.md) |
| 14 | - [Multi-Layered Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/04-OwnFramework/README.md) |
| 15 | - [Intro to Frameworks](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/README.md) |
| 16 | - [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) |
| 17 | - [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md) |
| 18 | - [Overfitting](https://github.com/microsoft/AI-For-Beginners/blob/main/3-NeuralNetworks/05-Frameworks/Overfitting.md) |
| 19 | |
| 20 | ## [Computer Vision](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/README.md) |
| 21 | - Intro to CV. OpenCV |
| 22 | - [Convolutional Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/07-ConvNets/README.md) |
| 23 | - [Architectures](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/07-ConvNets/CNN_Architectures.md) |
| 24 | - [Trasnsfer Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/08-TransferLearning/README.md) |
| 25 | - [Training Tricks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/08-TransferLearning/TrainingTricks.md) |
| 26 | - [Autoencoders and VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/09-Autoencoders/README.md) |
| 27 | - [Generative Adversarial Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/4-ComputerVision/10-GANs/README.md) |
| 28 | - Object Detection |
| 29 | - Segmentation |
| 30 | |
| 31 | ## [Natural Language Processing](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/README.md) |
| 32 | - [Text Representation](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/13-TextRep/README.md) |
| 33 | - Bag of Words |
| 34 | - TF/IDF |
| 35 | - [Semantic Embeddings](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/14-Embeddings/README.md) |
| 36 | - Word2Vec |
| 37 | - GloVE |
| 38 | - [Language Modeling](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/15-LanguageModeling) |
| 39 | - [Recurrent Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/16-RNN/README.md) |
| 40 | - LSTM |
| 41 | - GRU |
| 42 | - [Generative Recurrent Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/17-GenerativeNetworks/README.md) |
| 43 | - [Transformers and BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/5-NLP/18-Transformers/README.md) |
| 44 | - Named Entity Recognition |
| 45 | - Text Generation and GPT |
| 46 | ## Other Techniques |
| 47 | - [Genetic Algorithms](https://github.com/microsoft/AI-For-Beginners/blob/main/6-Other/21-GeneticAlgorithms/README.md) |
| 48 | - Deep Reinforcement Learning |
| 49 | - [Multi-Agent Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/6-Other/23-MultiagentSystems/README.md) |
| 50 | |
| 51 | ## [AI Ethics](https://github.com/microsoft/AI-For-Beginners/blob/main/7-Ethics/README.md) |
| 52 | ## Extras |
| 53 | - Multimodal Networks |
| 54 | - CLIP |
| 55 | - DALL-E |
| 56 | - VQ-GAN |