Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations

Denis Belomestny, Alexey Naumov, Nikita Puchkin +1

This paper investigates the approximation properties of deep neural networks with piecewise-polynomial activation functions. We derive the required depth, width, and sparsity of a…