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Deep Learning with PyTorch

This repo contains notebooks and related code 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