MIT Introduction to Deep Learning 6.S191: Lecture 6 with Ava Soleimany.

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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