Introductory PyTorch resources
By Daniel Godoy
Learn the basics of building a PyTorch model using a structured, incremental and from first
principles approach. Find out why PyTorch is the fastest growing Deep Learning framework and
how to make use of its capabilities: autograd, dynamic computation graph, model classes,
data loaders and more.
The main goal of this session is to show you how PyTorch works: we will start with a simple
and familiar example in Numpy and "torch" it! At the end of it, you should be able to
understand PyTorch's key components and how to assemble them together into a working model.
Resources & Prerequisites:
We will use Google Colab and work our way together into building a complete model in
PyTorch. You should be comfortable using Jupyter notebooks, Numpy and, preferably, object