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This page is a collection of MIT courses and lectures on deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence organized by Lex Fridman. Here are some steps to get started:

  1. Sign up to our mailing list for occassional updates.
  2. Connect on Twitter or LinkedIn for more frequent updates.
  3. Read the Deep Learning Basics blog post and check out the code tutorials on our GitHub.
  4. Watch the Deep Learning Basics and other lectures below.
  5. Attend the following lectures at MIT in January 2020. If you cannot attend, the lectures will also be posted on YouTube (with a delay of a few days):

2020 Deep Learning Series Information:

  • Time/Dates: MWF, 3pm. Starting Mon, Jan 6, 2020.
  • Duration: 90-120 minutes (see lecture specific estimates)
  • Location: *UPDATED* MIT 54-100 (capacity: 300, directions)

2020 Schedule of Lectures and Talks

UPDATE: Francois Chollet talk on Mon, Jan 13, is CANCELED. It will be rescheduled and announced at a later date.
Deep Learning State of the Art (2020)
Lex Fridman MIT
Mon, Jan 6, 3pm. Estimated duration (with Q/A): 90 mins
54-100 (directions)
[ Slides ] - [ Video ]
Unlocking AI for Science by Preserving Privacy
Andrew Trask OpenMined, University of Oxford
Wed, Jan 8, 3pm. Estimated duration (with Q/A): 90 mins
54-100 (directions)
[ Slides ] - [ Video ]
Complete Statistical Theory of Learning
Vladimir Vapnik Co-Creator of SVM, Columbia University
Fri, Jan 10, 3pm. Estimated duration (with Q/A): 120 mins
54-100 (directions)
[ Slides ] - [ Video ]
*Canceled! No lecture on Monday.* Measures of Intelligence
Francois Chollet Creator of Keras, Google
*Canceled! No lecture on Monday.*
54-100 (directions)
[ Slides ] - [ Video ]
Deep Learning Hardware Accelerators
Vivienne Sze MIT
Wed, Jan 15, 3pm. Estimated duration (with Q/A): 90 mins
54-100 (directions)
[ Slides ] - [ Video ]
OpenAI Five
Jakub Pachocki Dota Team & Reasoning Team Research Lead, OpenAI
Fri, Jan 17, 3pm. Estimated duration (with Q/A): 90 mins
54-100 (directions)
[ Slides ] - [ Video ]
Note: More lectures are being scheduled. Updates will be posted here when confirmed.

Deep Learning (2019)

Self-Driving Cars

Drago Anguelov
Principal Scientist, Waymo
[ Video ]
Oliver Cameron
CEO, Voyage
[ Video ]
Karl Iagnemma
President, Aptiv Autonomous Mobility
[ Video ]
Lex Fridman
Research Scientist, MIT
[ Video ] [ Slides ]
Sacha Arnoud
Director of Engineering, Waymo
[ Video ]
Emilio Frazzoli
CTO, nuTonomy
[ Video ]
Sterling Anderson
Co-Founder, Aurora
[ Video ]
Chris Gerdes
Professor, Stanford
[ Video ]
Sertac Karaman
Professor, MIT
[ Video ]

Deep Learning (2018)

Deep Learning (2017)

Artificial General Intelligence

Lex Fridman
Research Scientist, MIT
[ Video ] [ Slides ]
Stephen Wolfram
Wolfram Research
[ Video ]
Lisa Feldman Barrett
Professor, Northeastern U.
[ Video ]
Ilya Sutskever
Co-Founder, OpenAI
[ Video ]
Nate Derbinsky
Professor, Northeastern U.
[ Video ]
Richard Moyes
Co-Founder, Article36
[ Video ]

Artificial Intelligence Podcast

Elon Musk
CEO, Tesla, SpaceX
[ Video ] [ Episode ]
Eric Weinstein
Managing Director, Thiel Capital
[ Video ] [ Episode ]
Jim Keller
Senior VP, Intel
[ Video ] [ Episode ]
Bjarne Stroustrup
Creator of C++
[ Video ] [ Episode ]
Jeff Hawkins
Co-Founder, Numenta
[ Video ] [ Episode ]
Sean Carroll
Theoretical Physicist, Caltech
[ Video ] [ Episode ]
Ian Goodfellow
Director of Machine Learning, Apple
[ Video ] [ Episode ]
Ray Dalio
Founder, Bridgewater Associates
[ Video ] [ Episode ]
Michael Stevens
Educator
[ Video ] [ Episode ]
Stuart Russell
Professor, Berkeley
[ Video ] [ Episode ]

Thank You

Thank you to TensorFlow for sponsoring our deep learning education efforts.