arXiv · 1905.10324
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks
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.
Explore related subjects
Keep this discovery
J. D. Curtó, I. C. Zarza, Kris Kitani, Irwin King, Michael R. Lyu. 2019-05-24. Doctor of Crosswise: Reducing Over-parametrization in Neural Networks. https://arxiv.org/abs/1905.10324
Cite the original work for its findings. Save a collection to share your selection of sources.