Deep neural network approximation theory for high-dimensional functions

Pierfrancesco Beneventano, Patrick Cheridito, Robin Graeber +2

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 DN…