Artificial Neural Networks and Machine Learning

Friday, November 7, 2014
Plaza Foyer (Sheraton)
Brian Kmetz , Chapman University
Garrett Isaacs , Chapman University
Inspired by the way biological nervous systems process information, Artificial Neural Networks (ANNs) are composed of several interconnected layers of processing units that grant the capacity to learn from example by adjusting the synapse-like connections between individual processing units to improve performance.