Robin Graeber

Deep neural network approximation theory for high-dimensional functions

2021 · arXiv (Cornell University)

The purpose of this article is to develop a machinery to study the capacity of deep neural networks (DNNs) to approximate high-dimensional functions. In particular, we show that DNNs have the expressive power to overcome …