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Distinguished Lecture Series

Deep Learning

 

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Friday, January 16, 2015, 11:00am

 

I will give a brief history of deep learning explaining what it is,what kinds of task it should be good for and why it was largely abandoned in the 1990's. I will then describe how ideas from statistical physics were used to make deep learning work much better on small datasets. Finally I will describe how deep learning is now used by Google for speech recognition and object recognition and how it may soon be used for machine translation.

Speaker: Geoff Hinton

Bio

Geoffrey Hinton received his BA in experimental psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University. He t

Location : Via Video Wall in CoRE A(Room 301) and CBIM (Room 22)

Committee

Dimitris Metaxas

Event Type: Distinguished Lecture Series

Abstract: 

Organization

University of Toronto