MIT Introduction to Deep Learning 6.S191: Lecture 6
Deep Learning Limitations and New Frontiers
Lecturer: Ava Soleimany
January 2021

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
1:11​ - Course logistics
3:48​ - Upcoming hot topics and guest lectures
6:56​ - Deep learning and expressivity of NNs
10:02​ - Generalization of deep models
14:03 - Neural network failure modes
18:43 - Uncertainty in deep learning
22:41​ - Adversarial attacks
26:35 - Algorithmic bias
27:27​ - Limitations summary
28:29​ - Structure in DL
29:46 - Learning on graphs
37:50 - Learning on 3D pointclouds
39:58​ - Automated Machine Learning (AutoML)
48:03 - Conclusion


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