The Complete Pytorch Deep Learning Series!

A series, not a single lesson

This is a video series that works through deep learning with PyTorch, covering how to implement and explain neural networks, convolutional networks, attention and transformers. A series like this rewards following in order, since each part builds on the concepts before it.

What it is for

The focus is on understanding how models work as well as writing them, so it suits learners who want to know why a network behaves as it does. Attention and transformers are part of the scope, which keeps the material close to current architectures.

Before you start

A working knowledge of Python and basic machine learning will help. The series description does not list a level or length, so check the playlist for the number of episodes before planning your time.