d469: PyTorch tutorial by Yunjey Choi

PyTorch tutorial by Yunjey Choi:

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)
• Generative Adversarial Network

3. Advanced

• Image Captioning (CNN-RNN)
• Deep Convolutional GAN (DCGAN)
• Variational Auto-Encoder
• Neural Style Transfer

4. Utilities

• TensorBoard in PyTorch

 

Getting Started

$ git clone https://github.com/yunjey/pytorch-tutorial.git
$ cd pytorch-tutorial/tutorials/project_path
$ python main.py               # cpu version
$ python main-gpu.py           # gpu version

 

Dependencies

• Python 2.7 or 3.5
• PyTorch 0.1.12

Author

Yunjey Choi/ @yunjey

Learn more about PyTorch