  We prove a theorem concerning the approximation of bandlimited multivariate
functions by deep ReLU networks for which the curse of the dimensionality is
overcome. Our theorem is based on a result by Maurey and on the ability of deep
ReLU networks to approximate Chebyshev polynomials and analytic functions
efficiently.
