This repo contains notebooks and related code exercises for Udacity's Deep Learning with PyTorch lesson. This lesson appears in our AI Programming with Python Nanodegree program.
- Part 1: Introduction to PyTorch and using tensors
- Part 2: Building fully-connected neural networks with PyTorch
- Part 3: How to train a fully-connected network with backpropagation on MNIST
- Part 4: Exercise - train a neural network on Fashion-MNIST
- Part 5: Using a trained network for making predictions and validating networks
- Part 6: How to save and load trained models
- Part 7: Load image data with torchvision, also data augmentation
- Part 8: Use transfer learning to train a state-of-the-art image classifier for dogs and cats