Deep Neural Network Approximation Theory

Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs +1

This paper develops fundamental limits of deep neural network learning by characterizing what is possible if no constraints are imposed on the learning algorithm and on the amount…