Deep Learning Study Group

Apr 18, 2017 · Santa Clara, United States of America

Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature.  This meetup uses discussion among the participants to speed understanding of current research results.  That requires that some participants read the paper before attending.  Anyone is welcome to attend and listen without reading the paper.  If nobody reads the paper the meeting will be short.

Papers that we're reading, code that participants generate and other random stuff can be found at github site for the group. 


Reservoir Computing by Felix Grezes.

Slides by Felix Grezes: Reservoir Computing for Neural Networks (more at: )

This is a short, very useful backgrounder on randomized projections,
here used for compressed sensing, in a blog post by Terence Tao

and the same story told with illustrations on the Nuit Blanche blog:

(BTW is a tremendous website.)

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