pytorch的一些学习资料

https://github.com/yunjey/pytorch-tutorial

pytorch的一些学习资料

1. Basics

• PyTorch Basics
• Linear Regression
• Logistic Regression
• Feedforward Neural Network

2. Intermediate

• Convolutional Neural Network
• Deep Residual Network
• Recurrent Neural Network
• Bidirectional Recurrent Neural Network
• Language Model (RNN-LM)

3. Advanced

• Generative Adversarial Networks
• Variational Auto-Encoder
• Neural Style Transfer
• Image Captioning (CNN-RNN)

4. Utilities

• TensorBoard in PyTorch

 

 

https://github.com/jcjohnson/pytorch-examples

• Warm-up: numpy
• PyTorch: Tensors
• PyTorch: Autograd
• PyTorch: Defining new autograd functions
• TensorFlow: Static Graphs
• PyTorch: nn
• PyTorch: optim
• PyTorch: Custom nn Modules
• PyTorch: Control Flow and Weight Sharing