Dr. Oriol Vinyals – Google
Abstract: Deep learning has been a popular research area due to major successes in perception tasks such as speech recognition and object classification. In the first part of my talk, I will give a brief overview of the main concepts of deep learning.
I will focus on recent advances on a topic that my group has been especially actively working on: natural language processing and understanding using Recurrent Neural Networks (RNNs). In the past year, RNNs have done exceptionally well at learning to decode sequences of symbols from input signals. In the main part of this talk, I will review some recent successes on machine translation, image understanding, and beyond. I will finish the talk with a discussion of some of the next challenges for deep learning and some exciting research and applications that people in the field have started looking at.
Biography: Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. Oriol holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego. He is a recipient of the 2011 Microsoft Research Ph.D. Fellowship. He was an early adopter of the new deep learning wave at Berkeley and, in his thesis, he focused on non-convex optimization and recurrent neural networks. At Google Brain, he continues working on his areas of interest, which include artificial intelligence with particular emphasis on machine learning, language, and vision.
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Date(s) - Oct 12, 2015
1:00 pm - 2:00 pm
EE-IV Shannon Room #54-134
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095