Published On Premiered Mar 13, 2020
MIT Introduction to Deep Learning 6.S191: Lecture 6
Deep Learning Limitations and New Frontiers
Lecturer: Ava Soleimany
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 - Introduction
0:58 - Course logistics
3:59 - Upcoming guest lectures
5:35 - Deep learning and expressivity of NNs
10:02 - Generalization of deep models
14:14 - Adversarial attacks
17:00 - Limitations summary
18:18 - Structure in deep learning
22:53 - Uncertainty & bayesian deep learning
28:09 - Deep evidential regression
33:08 - AutoML
36:43 - Conclusion
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