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PyTorch Labsheets

Labsheets for the Applied Deep Learning course.

Overview

Labsheet Description
0 Introduction to Python and the scientific Python ecosystem
1 Your First Fully Connected Network
2 BC4 and Your First CNN
3 Techniques for Training DNNs
4 Data Augmentation

If you have trouble viewing the labsheets on github, you can try using the NBViewer service provided by ipython.org.

Environments

In these labs we'll be using two computing environments:

  • Colaboratory (a hosted version of Jupyter notebooks) for exploring PyTorch and dabbling with simple and non-computationally expensive experiments.
  • Blue Crystal 4 (docs) for GPU accelerated experiments.

If instead you'd like to install Jupyter locally on your laptop, we provide some guidance on a best efforts basis. If you have trouble setting things up then we'd recommend using Colaboratory instead.

Problems

Kindly file an issue with a description of the problem you're facing, your setup, what you are observing and what you expect to happen instead.

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Contributors

willprice avatar zhifanzhu avatar dwhettam avatar hazeldoughty avatar mwray avatar ahmaddarkhalil avatar jonmun avatar

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