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.

Let me know what you think in the comments below👇

[luckeyduckey]

this is underrated I've been trying to find a good tutorial that explains how to make a neural network from start to finish and you explained it in a very clear way that's easy to understand everyone else is either very confusing or didn't finish the network

[fallen_]

I honestly have no idea how you only have this many subscribers! Great Content!

[dominicblond]

He’s back. Huge if true! But only if true....

[Your_Better_You]

3 year late question and this may sound dumb but...okay here goes... in the i_data there are 8 pairs of two floating numbers, does all those pairs goes in to only one input node? or the 0 indices goes to 1st node and all 1 indices goes to the next node?

[ShiriR]

I feel like longer variable names that explains more is better because the idea that variables needed to be short was for efficiency but nowadays most IDE's auto complete for you making this practice redundant. Longer variable names will allow for easier reading of the code. but then again its not THAT important.

[xwdesignproductions]

What if you have 2 hidden layers, do you create 2 variables ? please reply