L4 Latent Variable Models and Variational AutoEncoders -- CS294-158 SP24 Deep Unsupervised Learning Published 2024-02-10 Download video MP4 360p Recommendations 1:19:11 L1 Introduction -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley Spring 2024 1:16:10 L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series) 2:11:09 L2 Autoregressive Models -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley Spring 2024 3:55:13 Wolfram Physics Project: Working Session Wednesday, May 6, 2020 [Finding Black Hole Structures] 1:34:22 Logarithm Fundamentals | Ep. 6 Lockdown live math 3:57:16 Wolfram Physics Project: Working Session Tuesday, Aug. 4, 2020 [Empirical Physical Metamathematics] 3:15:38 What is ChatGPT doing...and why does it work? 3:54:12 Wolfram Physics Project: Relations to Category Theory 41:22 L3 Policy Gradients and Advantage Estimation (Foundations of Deep RL Series) 59:52 MIT 6.S191: Deep Generative Modeling 3:31:03 A conversation between Nassim Nicholas Taleb and Stephen Wolfram at the Wolfram Summer School 2021 3:51:31 No Black Box Machine Learning Course – Learn Without Libraries 2:38:20 L11 Language Models -- guest instructor: Alec Radford (OpenAI) --- Deep Unsupervised Learning SP20 1:14:54 What makes the natural log "natural"? | Ep. 7 Lockdown live math 27:12 Variational Autoencoder - Model, ELBO, loss function and maths explained easily! 2:19:34 Grant Sanderson (3Blue1Brown) | Unsolvability of the Quintic | The Cartesian Cafe w/ Timothy Nguyen 3:50:43 Complete Dynamic Programming Practice - Noob to Expert | Topic Stream 1 3:58:45 Building the Formula 1 App with React Native 2:16:00 L9 Semi-Supervised Learning and Unsupervised Distribution Alignment -- CS294-158-SP20 UC Berkeley 1:00:30 'Putin has become a caricature of himself’: Understanding Russia with Mark Galeotti | Podcast