|Date: Friday, October 16, 2015
Location: 3725 BBB (10:00 AM to 11:00 AM)
Title: Representation power of neural networks
Abstract: This talk will survey a number of classical results regarding the representation power of neural networks, and also provide a new result separating shallow and deep networks: namely, there exist classification problems where a shallow network needs exponentially as many nodes to match the performance of a deep network. All proofs will be elementary and the talk will require no knowledge of machine learning.
Speaker: Matus Telgarsky
Event Organizer: schoeneb