MIT 6.S191 (2020): Deep Learning New Frontiers @AAmini
MIT 6.S191 (2020): Deep Learning New Frontiers  @AAmini
Uploaded March 2020 | Updated September 2026, 3 weeks ago
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: 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


Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
MIT 6.S191 (2020): Deep Learning New FrontiersMIT 6.S191 (2025): Reinforcement LearningMIT 6.S191: Evidential Deep Learning and UncertaintyMIT 6.S191 (2022): Convolutional Neural NetworksMIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)MIT 6.S191: Uncertainty in Deep LearningMIT 6.S191: AI Bias and FairnessMIT 6.S191 (2022): Deep Learning New FrontiersMIT 6.S191 (2019): Deep Generative ModelingMIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention
Alexander Amini |

MIT 6.S191 (2020): Deep Learning New Frontiers

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER