/MIT Deep Learning: Lectures and Tutorials for Introduction to and Overview of the Field

MIT Deep Learning: Lectures and Tutorials for Introduction to and Overview of the Field


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: 1-2 hours (see lecture specific estimates)
  • Location: MIT Building E51, see below for exact rooms (they vary).

2020 Schedule of Lectures and Talks

Note: Please double-check which room each lecture is in. The building is always the same (E51), but the room varies.

Deep Learning State of the Art (2020)

Lex Fridman MIT

Mon, Jan 6, 3pm. Estimated duration (with Q/A): 120 mins

[ 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

[ 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

[ Slides ] – [ Video ]

Measures of Intelligence

Francois Chollet Creator of Keras, Google

Mon, Jan 13, 3pm. Estimated duration (with Q/A): 90 mins

[ Slides ] – [ Video ]

Deep Learning Hardware Accelerators

Vivienne Sze MIT

Wed, Jan 15, 3pm. Estimated duration (with Q/A): 90 mins

[ Slides ] – [ Video ]

Note: More lectures are being scheduled. Updates will be posted here when confirmed.

Deep Learning (2019)

Self-Driving Cars

Lex Fridman

Research Scientist, MIT

Drago Anguelov

Principal Scientist, Waymo

Oliver Cameron

CEO, Voyage

Karl Iagnemma

President, Aptiv Autonomous Mobility

Lex Fridman

Research Scientist, MIT

Sacha Arnoud

Director of Engineering, Waymo

Emilio Frazzoli

CTO, nuTonomy

Sterling Anderson

Co-Founder, Aurora

Chris Gerdes

Professor, Stanford

Sertac Karaman

Professor, MIT

Deep Learning (2018)

Deep Learning (2017)

Artificial General Intelligence

Lex Fridman

Research Scientist, MIT

Josh Tenenbaum

Professor, MIT

Stephen Wolfram

Wolfram Research

Ray Kurzweil

Google

Lisa Feldman Barrett

Professor, Northeastern U.

Ilya Sutskever

Co-Founder, OpenAI

Nate Derbinsky

Professor, Northeastern U.

Richard Moyes

Co-Founder, Article36

Artificial Intelligence Podcast

Elon Musk

CEO, Tesla, SpaceX

Elon Musk

Tesla, SpaceX, Neuralink

Eric Weinstein

Managing Director, Thiel Capital

Michio Kaku

Theoretical Physicist, CCNY

George Hotz

Founder, Comma.ai

Leonard Susskind

Professor, Stanford

Bjarne Stroustrup

Creator of C++

Jeff Hawkins

Co-Founder, Numenta

Ian Goodfellow

Director of Machine Learning, Apple

Noam Chomsky

Professor, MIT

Sean Carroll

Theoretical Physicist, Caltech

Stuart Russell

Professor, Berkeley

Sean Carroll

Theoretical Physicist, Caltech

Kai-Fu Lee

CEO, Sinovation Ventures

Max Tegmark

Professor, MIT

Yann LeCun

Chief AI Scientist, Facebook

Ray Dalio

Founder, Bridgewater Associates

Eric Schmidt

CEO/Chairman, Google (2001-17)

Guido van Rossum

Creator and BDFL of Python

Garry Kasparov

Chess World Champion

Thank You

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



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