On Bayesian Deep Learning and Deep Bayesian Learning Published -- Download video MP4 360p Recommendations 51:57 Learning State Representations 1:06:38 Deep Learning: Practice and Trends Tutorial Parts I & II 15:05 Variational Autoencoders 09:35 Interview with Inventor of Neural Nets Warren McCulloch, neurologist who helped start it way back. 59:52 MIT 6.S191: Deep Generative Modeling 25:28 Watching Neural Networks Learn 1:11:36 Geoffrey Hinton talk "What is wrong with convolutional neural nets ?" 57:33 MIT 6.S191: Reinforcement Learning 14:28 Graph Neural Networks - a perspective from the ground up 06:45 Bayesian neural networks 16:37 Recurrent Neural Networks (RNNs), Clearly Explained!!! 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 39:15 Possible End of Humanity from AI? Geoffrey Hinton at MIT Technology Review's EmTech Digital 1:20:57 Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 54:20 Yann LeCun Lecture 6/8 Recurrent Neural Networks and their Applications in NLP 20:33 Gradient descent, how neural networks learn | Chapter 2, Deep learning Similar videos 45:16 Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote) 07:03 Bayesian Neural Network | Deep Learning 25:31 Physics: A Gateway to Bayesian Deep Learning | SciPy 2018 | Henri Palacci 36:15 Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning 1:57:07 Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial 48:52 MIT 6.S191: Evidential Deep Learning and Uncertainty 2:55:30 Bayesian Deep Learning — ANDREW GORDON WILSON 23:34 Bayesian Agents: Bayesian Reasoning and Deep Learning in Agent-based Systems 1:37:56 Bayesian Deep Learning | NeurIPS 2019 05:24 Bayesian Learning - Georgia Tech - Machine Learning 1:15:46 [EEML'24] Yee Whye Teh - Bayesian Deep Learning More results