Analytic Function Approximation by Path-Norm-Regularized Deep Neural Networks.

We show that neural networks with an absolute value activation function and with network path norm, network sizes and network weights having logarithmic dependence on 1 / ε can ε -approximate functions that are analytic on certain regions of C d . [ABSTRACT FROM AUTHOR]