Topological and Parametric Properties of Deep Neural Network

Abstract

Topological invariant known as index describes the numerous biological functions as well as the physical and chemical characteristics of chemical structure with several applications. A Deep Neural Network (DNN) is created to imitate the functioning of the human brain and has numerous layers to learn its more complicated patterns. Recent studies have focused on the classification of structural features of neural networks.