Search Results for author: Joseph Daws Jr.

Found 1 papers, 1 papers with code

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

1 code implementation24 May 2019 Joseph Daws Jr., 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 using polynomial-based approximations.

Cannot find the paper you are looking for? You can Submit a new open access paper.