Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

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Ido Portal: Movement

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Ryan Hall: Moral Victory

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Jimmy Pedro: Judo | Take It Uneasy Podcast

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Foundations of Deep Learning (Hugo Larochelle, Twitter)

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TensorFlow Tutorial (Sherry Moore, Google Brain)

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Nuts and Bolts of Applying Deep Learning (Andrew Ng)

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Sequence to Sequence Deep Learning (Quoc Le, Google)

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Torch Tutorial (Alex Wiltschko, Twitter)

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Theano Tutorial (Pascal Lamblin, MILA)

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Deep Reinforcement Learning (John Schulman, OpenAI)

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Deep Learning for Speech Recognition (Adam Coates, Baidu)

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Deep Learning for Natural Language Processing (Richard Socher, Salesforce)

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Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

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Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)

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Foundations and Challenges of Deep Learning (Yoshua Bengio)

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MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars

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MIT 6.S094: Deep Reinforcement Learning for Motion Planning

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MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

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MIT 6.S094: Recurrent Neural Networks for Steering Through Time

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MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles

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Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

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Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

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23

MIT Sloan: Intro to Machine Learning (in 360/VR)

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MIT 6.S094: Deep Learning

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MIT Self-Driving Cars (2018)

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MIT 6.S094: Deep Reinforcement Learning

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MIT 6.S094: Computer Vision

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MIT 6.S094: Deep Learning for Human Sensing

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MIT AGI: Artificial General Intelligence

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MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)

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Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)

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Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars

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Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)

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Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)

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Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars

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Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars

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MIT AGI: Cognitive Architecture (Nate Derbinsky)

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MIT Advanced Vehicle Technology Study (MIT-AVT)

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MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)

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Geoffrey Hinton: What are you excited about in deep learning?

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Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)

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Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman

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Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4

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Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7

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Eric Schmidt: Google | Lex Fridman Podcast #8

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Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

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Deep Learning Basics: Introduction and Overview

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Deep Learning State of the Art (2019)

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MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

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Self-Driving Cars: State of the Art (2019)

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Drago Anguelov (Waymo) - MIT Self-Driving Cars

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Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars

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Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars

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Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15

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Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17

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Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19

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MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)

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Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

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Rajat Monga: TensorFlow | Lex Fridman Podcast #22

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Gavin Miller: Adobe Research | Lex Fridman Podcast #23

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