Yann LeCun: "Learning Hierarchies of Invariant Features" Published 2015-08-24 Download video MP4 360p Download video MP4 720p Recommendations 1:05:17 Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets" 1:30:52 Invariant Risk Minimization 1:00:10 Yann LeCun: "Energy-Based Self-Supervised Learning" 48:39 Geoffrey Hinton: "Does the Brain do Inverse Graphics?" 1:04:48 Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 1" 47:51 Terence Tao: Structure and Randomness in the Prime Numbers, UCLA 1:01:50 Iain Murray: "Introduction to MCMC for Deep Learning" 50:26 Tom Goldstein: "What do neural loss surfaces look like?" 13:20 Einstein’s Other Theory of Everything 1:13:09 Lecture 10 | Recurrent Neural Networks 1:12:03 Steve Brunton: "Introduction to Fluid Mechanics" 45:47 Andrew Ng: "Deep Learning, Self-Taught Learning and Unsupervised Feature Learning" 22:21 ChatGPT Can Now Talk Like a Human [Latest Updates] 49:01 James Zou: "Deep learning for genomics: Introduction and examples" 13:03 Does Hollywood ruin books? - Numberphile 59:24 Terry Tao, Ph.D. Small and Large Gaps Between the Primes 59:32 Lecture 2 | Image Classification 27:01 AGI Breaks the Team at OpenAI: Full Story Exposed 02:43 PID VS Model Predictive Control (MPC) - (Enrollment link in the description) 1:20:46 Jason Choi -- Introduction to Control Lyapunov Functions and Control Barrier Functions Similar videos 52:16 Learning Invariant Feature Hierarchies 1:14:58 ERMITES_2012_Y_LeCun_2sur2 : « Learning Hierarchies of Invariant Features » 1:22:48 ERMITES_2012_Y_LeCun_1sur2 : « Learning Hierarchies of Invariant Features » 34:06 Yann LeCun: Towards Machines That Can Understand, Reason, & Plan 02:40 Invariant Motor Program Features 1:10:02 ECE 804 - Fall 2012 - Lecture 004 with Dr. Yann LeCun 1:01:49 Learning Invariant Features Using Inertial Priors 56:48 The Impact of chatGPT talks (2023) - Keynote address by Prof. Yann LeCun (NYU/Meta) 52:46 Yann LeCun: Where is AI Leading Us? (lecture part) 57:26 Visual Perception with Deep Learning 48:39 BayLearn2015-Keynote1 03:41 Invariant and Selective Representations in Visual Cortex 54:33 Learning Representations: A Challenge for Learning Theory, COLT 2013 | Yann LeCun, NYU 43:30 Yann LeCun - How does the brain learn so much so quickly? (CCN 2017) 42:52 Yann LeCun - How Does The Brain Learn So Quickly? 54:23 Yann LeCun 1:17:33 Yann LeCun - Feedforward networks, deep and shallow - Cosyne 2019 Keynote lecture 1:01:35 Yann LeCun: "Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction, Pt. 1" More results