[–] allangrant 2y ago ↗ A video about neural networks, function approximation, machine learning, and mathematical building blocks. This is a submission for #SoME3(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 ChallengeLinks and Content:• On Mathematical Maturity, Thomas Garrity: https://youtube.com/watch?v=zHU1xH6Ogs4• Earth Rotation Loop: https://youtube.com/watch?v=aiQdLP2mBJE• Earth Rotation Loop 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
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[ 4.6 ms ] story [ 10.5 ms ] thread(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
Links and Content:
• On Mathematical Maturity, Thomas Garrity: https://youtube.com/watch?v=zHU1xH6Ogs4
• Earth Rotation Loop: https://youtube.com/watch?v=aiQdLP2mBJE
• Earth Rotation Loop 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