“What Makes Neural Networks So Expressive, and What Could Make Them Smaller,” 12:10 on 9/16 in Holmes 116

Presented by
Thiago Serra

Department of Analytics and Operations Management

School of Management – Bucknell University

Thursday, September 16

Abstract: Neural networks have been successfully applied to complex predictive modeling tasks in areas such as computer vision and natural language processing. On the one hand, they have been shown to be a very powerful mathematical modeling tool.  On the other hand, we may still need an unreasonably large neural network in order to obtain a predictive model with good accuracy in many cases. How can we reconcile those two facts?

Pizza served at 11:40 in terrace Holmes 327.