AlphaFold Decoded: Introduction to Machine Learning (Lesson 2)

This video is an introduction to Machine Learning, going through the example of a feed-forward neural network for handwritten digit recognition. You can explore the topic hands-on in the accompanying Jupyter Notebook, where you'll do the full implementation yourself with automatic checks: Assignment: 1) Clone https://github.com/kilianmandon/alpha... 2) Work on tutorials/machine_learning Setup Instructions on https://github.com/kilianmandon/alpha... The video is part of a series on implementing AlphaFold 2 from scratch in PyTorch. Even though AlphaFold 3 was released, I think this is still highly relevant. For one, you can't really do an implementation of AlphaFold 3 (code's not released and we don't have pretrained weights) and second, AlphaFold 3 reuses a lot of the structures from AlphaFold 2 (except for the Structure Module), so even if you're more interested in AF 3 this is great preparation. On AlphaFold 3, there's a really cool video from Looking Glass Universe, that takes an in-depth look at its inner workings: AlphaFold 3 (Looking Glass Universe):    • AlphaFold 3 deep dive   Alternative Tutorials on Machine Learning: 3Blue1Brown:    • But what is a neural network? | Deep learn...   Sebastian Lague:    • I Tried Coding a Neural Network to Identif...   Chapters: 00:00 Intro 01:20 Recognizing Patterns 03:34 Hierachical Features 07:00 Non-Linearities 09:53 Magic of ML 11:35 Gradient Descent 14:21 Derivatives 19:46 Example Code 20:52 Overview 21:32 Outro