HTC Seminar Series #8: 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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