MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2021): Deep Learning New Frontiers

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 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!!