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Recurrent Neural Nets as Sequence Decoders

Oriol Vinyals ( Google )

This past year, Recurrent Neural Networks have seen a lot of attention as powerful models that are able to decode sequences from signals. In this talk, I'll review some of our recent work on parsing, machine translation, and image captions.

Speaker bio

Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. He holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego.

 

 

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