Coding a Neural Network: A Beginner's Guide (part 1)

00:00 - Opening Google Colab
00:24 - Write your first line of code
02:08 - Create your first matrix
04:32 - What is a 'classifier' NN
06:20 - The 'weights' matrix
08:55 - Compute your first dot product
11:04 - Generate a dummy output

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.

Part 2: https://youtu.be/jQyzqpYKJ3M
Part 3: https://youtu.be/QMvLIDuAZjA
Part 4: https://youtu.be/XVAyyAbrK5k
Part 5: https://youtu.be/9ny-KcWNU-g

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👇

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