Watch Neural Networks in Action: How Machines Learn and Approximate Functions 🤖

A video about neural networks, function approximation, machine learning, and mathematical building blocks. Dennis Nedry did nothing wrong. This is a submission for #SoME3

Original vid: https://www.youtube.com/watch?v=0QczhVg5HaI

My Links
Patreon: https://www.patreon.com/emergentgarden
Discord: https://discord.gg/ZsrAAByEnr

Links and Content:
On Mathematical Maturity, Thomas Garrity: https://www.youtube.com/watch?v=zHU1xH6Ogs4
Earth Rotation Loop: https://www.youtube.com/watch?v=aiQdLP2mBJE
Modeling Shell Surfaces: https://www.geogebra.org/m/xtv7zpn5
Fourier Features Paper: https://arxiv.org/abs/2006.10739
Code for mandelbrot/image approximations: https://github.com/MaxRobinsonTheGreat/mandelbrotnn
Code for line/surface approximations: https://github.com/MaxRobinsonTheGreat/ManimApproximations

Music: https://youtube.com/@acolyte-compositions

Timestamps
(0:00) Functions Describe the World
(3:15) Neural Architecture
(5:35) Higher Dimensions
(11:55) Taylor Series
(15:20) Fourier Series
(21:25) The Real World
(24:32) An Open Challenge