Speaker: Dr. Yimin Zhong (Auburn)

 

Title: Numerical Understanding of Neural Networks

 

 

Abstract: In this talk, I will talk about a couple of recent works on neural networks. The motivation is to see whether neural networks are suitable for general scientific computing. Our study of shallow neural networks demonstrates that shallow neural networks are in general low-pass filters from different perspectives. Based on this observation, we proposed to make use of the composition of shallow networks to construct deep neural networks, which demonstrates better performance over the vanilla fully connected neural networks of comparable parameters.

 

 

This talk is a part of Dr. Zhong's 3^rd year review process.

 

ACM seminar’s website: https://auburn.edu/cosam/mathseminar/index.htm