A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks

Joseph Daws, Clayton G. Webster

In this effort we propose a novel approach for reconstructing multivariate functions from training data, by identifying both a suitable network architecture and an initialization u…