This class is an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application. In the mean time, if interested, here are a few things you can do:

  1. Sign up to our mailing list for updates.
  2. Visit MIT Deep Learning for the 3 related courses we're teaching this year.
  3. If you're an MIT student, pre-register for 6.S091, 6.S093, and 6.S094 to receive credit.
  4. If you have questions, check out the FAQ Google Doc.
  5. Connect with Lex on Twitter, LinkedIn, Instagram, Facebook, or YouTube.
  6. Join our Slack channel (deep-mit.slack.com). Get an invite by clicking here.
  7. If you would like to participate in the competitions, register an account on the site.
  8. Attend the lectures. Listeners are welcome. It's open to all.
  9. What the lecture videos below.

2019 Course Information:

  • Time/Dates: Every day, 3pm. Mon, Jan 7 - Jan 18
  • Duration: 60-90 minutes
  • Location: MIT, 54-100 (location details) with some exceptions.
  • Instructor: Lex Fridman
  • Contact: hcai@mit.edu

2019 Schedule of Lectures and Talks

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Self-Driving Cars

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)


Thank You

Thank you to TensorFlow for sponsoring our deep learning education efforts, to Veoneer for sponsoring our autonomous vehicle research, and to the community of researchers and students at MIT and beyond for their ongoing support, ideas, and discussions.