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Part 1 - Tensors in PyTorch (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 1 - Tensors in PyTorch (Solution).ipynb add new pytorch content Nov 16, 2018
Part 2 - Neural Networks in PyTorch (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 2 - Neural Networks in PyTorch (Solution).ipynb add new pytorch content Nov 16, 2018
Part 3 - Training Neural Networks (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 3 - Training Neural Networks (Solution).ipynb add new pytorch content Nov 16, 2018
Part 4 - Fashion-MNIST (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 4 - Fashion-MNIST (Solution).ipynb
Part 5 - Inference and Validation (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 5 - Inference and Validation (Solution).ipynb add new pytorch content Nov 16, 2018
Part 6 - Saving and Loading Models.ipynb add new pytorch content Nov 16, 2018
Part 7 - Loading Image Data (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 7 - Loading Image Data (Solution).ipynb add new pytorch content Nov 16, 2018
Part 8 - Transfer Learning (Exercises).ipynb add new pytorch content Nov 16, 2018
Part 8 - Transfer Learning (Solution).ipynb add new pytorch content Nov 16, 2018
README.md add new pytorch content Nov 16, 2018
fc_model.py add new pytorch content Nov 16, 2018
helper.py add new pytorch content Nov 16, 2018

README.md

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
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