A visual introduction to the structure of an artificial neural network. More to come!
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Here's the course I referred to in the video. I am not affiliated with NYU.
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Here's 3blue1brown's video on Linear Transformations:
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Special thanks to Matt Henderson, David Ha, Oliver Ni and Sumedh Shenoy for reviewing the video.

And also thanks to Grant Sanderson himself for giving me some manim tips!

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The Neural Network, A Visual Introduction | Visualizing Deep Learning, Chapter 1

0:00 Intro
1:55 One input Perceptron
3:30 Two input Perceptron
4:40 Three input Perceptron
5:17 Activation Functions
6:58 Neural Network
9:45 Visualizing 2-2-2 Network
10:59 Visualizing 2-3-2 Network
12:33 Classification
13:05 Outro

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