The Universal Approximation Theorem is a fundamental concept in neural networks, stating that a feedforward network with a single hidden layer containing a finite number of neurons can approximate ...

Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis" - ...