SOTAVerified

Doctor of Crosswise: Reducing Over-parametrization in Neural Networks

2019-05-24Code Available0· sign in to hype

J. D. Curtó, I. C. Zarza, Kris Kitani, Irwin King, Michael R. Lyu

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Dr. of Crosswise proposes a new architecture to reduce over-parametrization in Neural Networks. It introduces an operand for rapid computation in the framework of Deep Learning that leverages learned weights. The formalism is described in detail providing both an accurate elucidation of the mechanics and the theoretical implications.

Reproductions