Foundations and Challenges of Deep Learning (Yoshua Bengio)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below.
Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks an…
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Ido Portal: Movement
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Ryan Hall: Value of Competition | Take It Uneasy Podcast
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Ryan Hall: Moral Victory
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Ryan Hall: Best Martial Art for Self Defense | Take It Uneasy Podcast
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Ryan Hall: Principles of Jiu Jitsu | Take It Uneasy Podcast
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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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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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Max Tegmark: Life 3.0 | Lex Fridman Podcast #1
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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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Christof Koch: Consciousness | Lex Fridman Podcast #2
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Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
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Steven Pinker: AI in the Age of Reason | Lex Fridman Podcast #3
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Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
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Black Belt Speech | Lex Fridman
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Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5
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Guido van Rossum: Python | Lex Fridman Podcast #6
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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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Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9
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Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
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Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11
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Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12
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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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DeepCamp AI