HTC Seminar Series #8: Feedforward Networks, Deep and Shallow

Todays HTC Seminar Series talk rounds out our presentations (#3 of the godfathers of deep learning) by presenting a talk by Yann LeCunn of New York University and Facebook. The talk is the Cosyne 2019 Keynote Lecture on 'Feedforward networks, deep and shallow'.

This is a fun talk that covers a lot of ground. It's a good introduction to the history of deep learning research.  With a lot of good tie ins to human visual system computational modeling work.

It also spends a lot of time discussing where deep learning research could go next.  So a discussion of unsupervised learning, energy approaches to representation learning, sparse coding, etc. Lot's of interesting ideas discussed.

Mask R-CNN is also discussed.  Its available as a PyTorch model, and we'll take a look at it in a later post.


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