Seminar Event Detail


Theoretical Computer Science

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.

Files:


Speaker:  Matus Telgarsky
Institution:  U-M

Event Organizer:      schoeneb

 

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