Universal Approximation Theorem - The Fundamental Building Block of Deep Learning
Luis Serrano Academy · 13:16
The universal approximation theorem says a neural network with just one hidden layer can approximate any continuous function as closely as you want, provided the hidden layer is wide enough. Luis Serrano explains it w...