A graduate topics course at the University of Waterloo on deep learning from a statistical theory perspective, taught by Ali Ghodsi. Commenters point to it as a companion to other deep learning courses for those working through research papers.

Commenters suggest it alongside cs231n and cs224d as a useful deep learning course in a paper-reading roadmap.

What commenters said (1)

1. Recommendsgamapuna2016in “Deep learning papers reading roadmap”

   In addition to cs231n which someone recommended, I would also suggest cs224d (stanford) and university of waterloo's course by ali ghodsi STAT 946

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