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:
- Sign up to our mailing list for occassional updates.
- Connect on Twitter or LinkedIn for more frequent updates.
- Read the Deep Learning Basics blog post and check out the code tutorials on our GitHub.
- Watch the Deep Learning Basics and other lectures below.
- 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)
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)
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)
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
Lex Fridman
Research Scientist, MIT
Lex Fridman
Research Scientist, MIT
Deep Learning (2018)
Deep Learning (2017)
Artificial General Intelligence
Artificial Intelligence Podcast
Elon Musk
Tesla, SpaceX, Neuralink
Michio Kaku
Theoretical Physicist, CCNY
Eric Weinstein
Managing Director, Thiel Capital
George Hotz
Founder, Comma.ai
Leonard Susskind
Professor, Stanford
Jim Gates
Professor, Brown
Sean Carroll
Theoretical Physicist, Caltech
Noam Chomsky
Professor, MIT
Grant Sanderson
Math Educator
Ian Goodfellow
Director of Machine Learning, Apple
Donald Knuth
Computer Scientist
Stuart Russell
Professor, Berkeley
Sean Carroll
Theoretical Physicist, Caltech
Kai-Fu Lee
CEO, Sinovation Ventures
Thank You
Thank you to TensorFlow for sponsoring our deep learning education efforts.