This repository is a collection of python3 notebooks exploring individual components of PyTorch framework. You can view it as a hands-on tutorial in PyTorch for someone who is already familiar with Python and machine learning.
Our approach is inspired by a classical book, The Little Schemer.
For now, there are only a few documents here:
- MNIST example dissected (only the first two chapters finished)
- Anatomy of the serialized MNIST model
- libtorch classes and code generation