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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