https://github.com/sejas/deep-learning-pytorch

Pytorch exercise to learn to build neural networks in PyTorch
https://github.com/sejas/deep-learning-pytorch

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Pytorch exercise to learn to build neural networks in PyTorch

• Host: GitHub
• URL: https://github.com/sejas/deep-learning-pytorch
• Owner: sejas
• Created: 2019-02-06T23:26:31.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-10T00:26:19.000Z (almost 6 years ago)
• Last Synced: 2025-01-01T15:42:13.088Z (2 days ago)
• Language: Jupyter Notebook
• Size: 41.9 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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](https://www.udacity.com/course/ai-programming-python-nanodegree--nd089).

* **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