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1:08:06EN
Lex FridmanPodcast · 2 voixDeep Learning in One Lecture: From Perceptrons to AutoML and the Limits of LearningInvité : Deep Learning Basics · Anime : Lex FridmanLex Fridman's opening lecture for MIT's 6.S094 course surveys why deep learning took off, how neural networks learn, and where the technique still falls short.Modèles et entraînementDeep LearningFondamentaux du ML+3
1:00:25EN
Lex FridmanPodcast · 2 voixCan Machines Think? A Guided Tour of Turing's Test, Its Critics and Its SuccessorsInvité : Turing Test · Anime : Lex FridmanLex Fridman walks through Alan Turing's 1950 paper, the objections to it, and the benchmarks that have tried to replace or extend the imitation game.AI HistoryBenchmarksPhilosophy+3
40:25EN
Lex FridmanPodcastA Language That Knows the World: Stephen Wolfram on Computable KnowledgeAnime : Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.Programming LanguagesSoftware engineeringAI History
1:20:58EN
Lex FridmanPodcastFrom Bag of Words to Attention: Quoc Le Teaches Sequence-to-Sequence Learning Through Email RepliesAnime : Lex FridmanA Deep Learning School talk that builds sequence-to-sequence models step by step around one running example, automatic email reply, and then surveys memory and operation-augmented networks.Modèles et entraînementDeep LearningFondamentaux du ML+2
52:28EN
Lex FridmanPodcast · 2 voixRay Kurzweil on Hierarchies, the Neocortex and Merging with AIInvité : Ray Kurzweil · Anime : Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.Modèles et entraînementAGIAI History+3
32:41EN
Lex FridmanPodcast · 2 voixHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a BreakthroughInvité : David Ferrucci · Anime : Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.Modèles et entraînementAI HistorySearch & retrieval+1
11:59EN
Lex FridmanPodcast · 2 voixFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvité : François Chollet · Anime : Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.Open source et communautéDeep LearningOpen-source ecosystems+3
1:27:41EN
Lex FridmanPodcastDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes NextAnime : 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.Modèles et entraînementDeep LearningAI research+3