SVTC Luncheon | Deep Neural Networks: How They Work and When They Don’t
This luncheon was originally scheduled for Nov. 15th. Due to poor weather, we have rescheduled for November 29th.
Over the last ten years, deep neural networks have been at the center of a machine learning boom that has seen hundreds of millions of dollars of investment from the tech industry, governments and academic institutions. Dr. Sprague will briefly explain how deep neural networks work, why they’ve had such a big impact, and why they *won’t* solve all of our problems.
About neural networks: https://skymind.ai/wiki/neural-network#define
About the Speaker
Nathan Sprague , Ph.D., is an Associate Professor of Computer Science at James Madison University and the Coordinator of the JMU Robotics Minor. He teaches courses in AI, Robotics and Autonomous Vehicles. His research interests are in the areas of machine learning and computer vision.
