PDE Models for Deep Neural Networks: Learning Theory, Calculus of Variations and Optimal Control

Peter Markowich, Simone Portaro

We propose a partial differential-integral equation (PDE) framework for deep neural networks (DNNs) and their associated learning problem by taking the continuum limits of both net…