Can I read Universal Approximation in Deep Networks on EtoBox?

Universal Approximation in Deep Networks by Max is a document available to read on EtoBox.

What is Universal Approximation in Deep Networks about?

This document discusses the Universal Approximation Theorem in the context of deep narrow neural networks, demonstrating that such networks with bounded width and arbitrary depth can densely approximate continuous functions using various activation functions, including polynomials. The authors, Patrick Kidger and Terry Lyons, extend previous work by showing that the class of deep narrow networks is capable of approximating functions in compact domains, and they provide results for different activation funct

Author

Max

Language

EN