A study of singularities on deep neural networks

Abstract

Singularity Theory is a branch of mathematics whose tools and techniques have been applied in several branches of science and technology including robotics, autonomous vehicles, computer graphics, image processing, and network structure. In this project we aim to develop a study of the tools and techniques of Singularity Theory and Applied Math which has recently been used to address problems of machine learning in deep neural networks.