Programming PyTorch for Deep Learning

A book by Ian Pointer

Notebooks

Chapter 1 - Getting Started with PyTorch

Chapter 2 - Image Classification with PyTorch

• Building an image classifier.ipynb

Chapter 3 - Convolutional Neural Networks

• Building a CNN model.ipynb

Chapter 4 - Transfer Learning and Other Tricks

• Transfer learning with ResNet.ipynb
• Finding that learning rate.ipynb

Chapter 5 - Text Classification

Chapter 6 - A Journey into Sound

Chapter 7 - Debugging PyTorch Models

Chapter 8 - PyTorch in Production

Chapter 9 - PyTorch in the Wild