A brief introduction to PyTorch with some subjective emphasis, meant to be presented in a one hour session.
We'll briefly cover some core PyTorch concepts and then go through a simple classification example.
You can follow on Binder (takes long to build after changes to the repository):
Alternatively, you can clone the repository. The dependencies are:
- numpy
- matplotlib
- scikit-learn
- pytorch
PyTorch Installation Instructions. Make sure you choose the correct architecture!