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Pytorch exercise to learn to build neural networks in PyTorch
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Part 1 - Tensors in PyTorch (Exercises).ipynb
Part 1 - Tensors in PyTorch (Exercises).md
Part 1 - Tensors in PyTorch (Solution).ipynb
Part 2 - Neural Networks in PyTorch (Exercises).ipynb
Part 2 - Neural Networks in PyTorch (Exercises).md
Part 2 - Neural Networks in PyTorch (Solution).ipynb
Part 3 - Training Neural Networks (Exercises).ipynb
Part 3 - Training Neural Networks (Exercises).md
Part 3 - Training Neural Networks (Solution).ipynb
Part 4 - Fashion-MNIST (Exercises).ipynb
Part 4 - Fashion-MNIST (Exercises).md
Part 4 - Fashion-MNIST (Solution).ipynb
Part 5 - Inference and Validation (Exercises).ipynb
Part 5 - Inference and Validation (Exercises).md
Part 5 - Inference and Validation (Solution).ipynb
Part 6 - Saving and Loading Models.ipynb
Part 6 - Saving and Loading Models.md
Part 7 - Loading Image Data (Exercises).ipynb
Part 7 - Loading Image Data (Exercises).md
Part 7 - Loading Image Data (Solution).ipynb
Part 8 - Transfer Learning (Exercises).ipynb
Part 8 - Transfer Learning (Exercises).md
Part 8 - Transfer Learning (Solution).ipynb
README.md
checkpoint.pth
dogs-vs-cats-0.98.pth
fc_model.py
helper.py
output_15_2.png
output_16_1.png
output_16_2.png
output_18_1.png
output_20_1.png
output_29_0.png
output_31_0.png
output_31_1.png
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sampleSubmission.csv

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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