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A video about neural networks, how they work, and why they're useful.
My twitter: / max_romana
SOURCES
Neural network playground: playground.tensorflow.org/
Universal Function Approximation:
Proof: / hornik.pdf
Covering ReLUs: proceedings.neurips.cc/paper/...
Covering discontinuous functions: arxiv.org/pdf/2012.03016.pdf
Turing Completeness:
Networks of infinite size are turing complete: Neural Computability I & II (behind a paywall unfourtunately, but is cited in following paper)
RNNs are turing complete: binds.cs.umass.edu/papers/199...
Transformers are turing complete: arxiv.org/abs/2103.05247
More on backpropagation:
• What is backpropagatio...
More on the mandelbrot set:
• The Mandelbrot Set - N...
Additional Sources:
Neat explanation of universal function approximation proof: • The Universal Approxim...
Where I got the hard coded parameters: towardsdatascience.com/can-ne...
Reviewers:
Andrew Carr / andrew_n_carr
Connor Christopherson
TIMESTAMPS
(0:00) Intro
(0:27) Functions
(2:31) Neurons
(4:25) Activation Functions
(6:36) NNs can learn anything
(8:31) NNs can't learn anything
(9:35) ...but they can learn a lot
MUSIC
• It Was Here