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101 件
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1:12:00EN
Lex FridmanポッドキャストWhy Deep Learning Works at All: Yoshua Bengio on Composition, Saddle Points and the Case for Unsupervised Learningホスト 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.モデルと学習機械学習の基礎Deep Learning+2
1:02:24EN
Lex FridmanポッドキャストFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion Planningホスト Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.Autonomous DrivingRoboticsAI research+2
1:27:41EN
Lex FridmanポッドキャストDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes Nextホスト 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.モデルと学習Deep LearningAI research+3
51:18EN
Lex Fridmanポッドキャスト · 2 人Engineering Intelligence: Lex Fridman's Opening Lecture for MIT's AGI Courseゲスト MIT AGI · ホスト Lex FridmanLex Fridman lays out an engineering-first approach to artificial general intelligence, previews the course's projects and guest speakers, and frames deep learning's limits.モデルと学習AGI(汎用人工知能)AI research+3
1:02:06EN
Lex FridmanポッドキャストDeep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real Problemホスト 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.モデルと学習Autonomous DrivingDeep Learning+3