Topology and geometry of half-rectified network optimization

2016

Abstract

The loss surface of deep neural networks has recently attracted interest in the optimization and machine learning communities as a prime example of high-dimensional non-convex problem. Some insights were recently gained using spin glass models and mean-field approximations, but at the expense of strongly simplifying the nonlinear nature of the model.

Authors

CD Freeman
Joan Bruna