Why Neural Networks can learn (almost) anything

A video about neural networks, how they work, and why they’re useful. My twitter: SOURCES Neural network playground: Universal Function Approximation: Proof: Covering ReLUs: Covering discontinuous functions: 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: Transformers are turing complete: More on backpropagation: More on the mandelbrot set: Additional Sources: