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 | Your First CNN | | 3 | Techniques for Training DNNs | | 4 | Data Augmentation | | 5 | Transformers |

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.
• Lab Machines 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.

If you'd like to connect to BC4, we provide guidance for SSH setup.

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.