Neural networks simplified and made easy, for the layperson (or medical practitioner). I've tried to keep things simple, and provide a beginner's introduction to machine learning and neural networks. By the end of this series, you'll have created your first complete and functioning artificial neural network, written in Google Colab. I recommend listening on 1.5 or 2x speed.

This technology will be all throughout medical practise in the years to come, so its definitely worth trying to get your head around.

In part 3, we get stuck into how the learning part of machine learning works, by introducing some very simple mathematical optimisation.

Part 1:    • Coding a Neural Network: A Beginner's...  
Part 2:    • Coding a Neural Network: A Beginner's...  
...
Part 4:    • Coding a Neural Network: A Beginner's...  
Part 5:    • Coding a Neural Network: A Beginner's...  

This tutorial is greatly indebted to the work of Justin Johnson: https://github.com/jcjohnson

Let me know what you think in the comments below

** Note error at 11:03 partial derivative should read [2x , 2y] **
Thanks to viewer Muhammad Magid for identifying this.