Aslan Tchamkerten

Bounds on the Approximation Power of Feedforward Neural Networks

The approximation power of general feedforward neural networks with piecewise linear activation functions is investigated. First, lower bounds on the size of a network are established in terms of the approximation error and network depth and width. These bounds improve upon state-of-the-art bounds f…