Dynamics and Generalization in deep neural networks Published 2020-08-13 Download video MP4 360p Recommendations 1:00:24 From Zero to CNNs to Brains 29:47 Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) 55:15 MIT 6.S191: Convolutional Neural Networks 52:51 Invariance and equivariance in brains and machines 1:00:42 An overview of Generative AI: music, video and image creation 58:12 MIT Introduction to Deep Learning | 6.S191 1:10:43 Daniel Everett, "Homo Erectus and the Invention of Human Language" 1:13:23 Language Models as World Models 56:26 Dense Associative Memory in Machine Learning 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 51:31 11. Introduction to Machine Learning 1:31:01 PINNs || Extrapolation in DeepONet || Seminar on: December 16, 2022 1:08:06 Deep Learning Basics: Introduction and Overview Similar videos 51:56 Tomaso Poggio - Dynamics and Generalization in Deep Neural Networks 33:08 Training and generalization dynamics in simple deep networks 22:35 'How neural networks learn' - Part III: Generalization and Overfitting 44:20 Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent 05:45 Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn 1:02:04 Understanding Deep Neural Networks: From Generalization to Interpretability - Gitta Kutyniok 26:02 Karolina Dziugaite on Nonvacuous Generalization Bounds for Deep Neural Networks via PAC-Bayes 59:22 Quantifying and Understanding Memorization in Deep Neural Networks 31:34 PAC-Bayesian approaches to understanding generalization in deep learning - Gintare Dziugaite More results