Deep Learning Study Group

Oct 31, 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. 


mike-bowles/hdDeepLearningStudy

https://arxiv.org/pdf/1503.02406.pdf Naftali Tishby and Noga Zaslavsky. information bottleneck principle.

https://www.cs.huji.ac.il/labs/learning/Papers/allerton.pdf - Naftali Tishby, Fernando C. Pereira, and William Bialek. The information bottleneck method.

https://www.reddit.com/r/MachineLearning/comments/75uua6/r_2_hr_talk_information_theory_of_deep_learning/


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