Coding a Neural Network: A Beginner's Guide (part 4)

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.
In part 4, we discuss how to implement backpropagation. This can be super confusing to newcomers, but is actually quite simple once you break down all the calculus.
Part 1: • Coding a Neural Networ...
Part 2: • Coding a Neural Networ...
Part 3: • Coding a Neural Networ...
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Part 5: • Coding a Neural Networ...
This tutorial is greatly indebted to the work of Justin Johnson: github.com/jcj...
Let me know what you think in the comments below👇

[@zackz6557]

Man, your tutorial is honestly the best of the best; but I still got confused with all that derivatives....I need more coffee

[@soccer11scout]

same

[@FURY99509]

Thank you for the series, you saved my life!

[@shahbajsingh4228]

So underrated