The level of computation power guaranteed by the universal approximation theorem is the same as that of look-up tables. It sounds way less impressive when you put it that way. The post The Truth About the [Not So] Universal Approximation Theorem first appeared on Life Is Computation.| Life Is Computation
Multi-layer perceptrons (MLPs) stand as the bedrock of contemporary deep learning architectures, serving as indispensable components in various machine learning applications. Leveraging the expressive power conferred by the universal approximation theorem, MLPs excel in approximating nonlinear functions, embodying a default choice for many tasks. However, despite their widespread adoption, MLPs harbor notable limitations. They often| Synced