Deep Learning with PyTorch

This repo contains notebooks and related code for Udacity's Deep Learning with PyTorch lesson.

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

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
assets		assets
1 - Tensors in PyTorch.ipynb		1 - Tensors in PyTorch.ipynb
2 - Neural Networks in PyTorch.ipynb		2 - Neural Networks in PyTorch.ipynb
3 - Training Neural Networks.ipynb		3 - Training Neural Networks.ipynb
4 - Fashion-MNIST.ipynb		4 - Fashion-MNIST.ipynb
5 - Inference and Validation.ipynb		5 - Inference and Validation.ipynb
6 - Saving and Loading Models.ipynb		6 - Saving and Loading Models.ipynb
7 - Loading Image Data.ipynb		7 - Loading Image Data.ipynb
8 - Transfer Learning.ipynb		8 - Transfer Learning.ipynb
README.md		README.md
fc_model.py		fc_model.py
helper.py		helper.py

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