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TemaFundamentos de MLVoces1 voz
1:12:00EN
Lex FridmanPódcastWhy Deep Learning Works at All: Yoshua Bengio on Composition, Saddle Points and the Case for Unsupervised LearningPresenta: Lex FridmanIn a 2016 Deep Learning School talk, Yoshua Bengio explains the assumptions that let neural nets beat the curse of dimensionality and lays out the open challenges ahead.Modelos y entrenamientoFundamentos de MLDeep Learning+2
1:27:41EN
Lex FridmanPódcastDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes NextPresenta: Lex FridmanAn MIT lecture surveys the biggest advances of 2017 to 2019 across language, reinforcement learning, deep learning theory and autonomous vehicles, and lists Fridman's hopes for the year ahead.Modelos y entrenamientoDeep LearningAI research+3
1:02:06EN
Lex FridmanPódcastDeep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real ProblemPresenta: Lex FridmanLex Fridman opens MIT's 6.S094 with a tour of what deep learning is, how it works, what it has achieved and where it still breaks, framed around autonomous vehicles.Modelos y entrenamientoAutonomous DrivingDeep Learning+3