Interpreting Deep Neural Networks - Bin Yu Published -- Download video MP4 360p Recommendations 30:03 Understanding the inductive bias due to dropout - Raman Arora 1:02:04 Understanding Deep Neural Networks: From Generalization to Interpretability - Gitta Kutyniok 25:28 Dendrites: Why Biological Neurons Are Deep Neural Networks 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 26:52 A Brain-Inspired Algorithm For Memory 56:08 The Great Transitions in Evolution with Neil Shubin 57:33 MIT 6.S191: Reinforcement Learning 2:06:38 This is why Deep Learning is really weird. 18:40 But what is a neural network? | Chapter 1, Deep learning 40:08 The Most Important Algorithm in Machine Learning 13:37 What are Transformer Models and How do they Work? 17:38 The moment we stopped understanding AI [AlexNet] 1:00:59 What's the future for generative AI? - The Turing Lectures with Mike Wooldridge 47:27 Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering 23:51 Can We Build an Artificial Hippocampus? 58:12 MIT Introduction to Deep Learning | 6.S191 12:47 What is backpropagation really doing? | Chapter 3, Deep learning 58:41 QLS Seminar - SueYeon Chung - April 19 2022 57:31 Invention and History of the Bubble Chamber 24:07 AI can't cross this line and we don't know why. Similar videos 45:36 Bin Yu: Interpreting Deep Neural Networks towards Trustworthiness 57:55 Interpreting deep neural networks towards trustworthiness - Bin Yu, University of California 53:07 Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA 48:27 Bin Yu: Complexity, interpretation, and decision trees 11:11 ⚡Interpreting Neural Networks - Avi S 58:45 Bin Yu, Statistics and EECS, UC Berkeley - Wasserstrom Distinguished Lecture 10:58 Bin Yu - Q&A - The Frontiers of Machine Learning 1:24:47 Distinguished Lecture on Veridical Data Science by Professor Bin YU 18:27 Bin Yu: How data scientists can team with other disciplines More results