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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.

Interested in the class? Here are some things you could do:

  1. Register an account on the site to stay up-to-date. The material for the course is free and open to the public. If you're an MIT student and would like to get credit for the course, pre-register for it here.
  2. Join our Slack channel (deep-mit.slack.com). There are two ways:
    (a) if you have an mit.edu email, join here
    (b) get an invite by clicking here.
  3. Watch the lectures and guest talks from the 2017 iteration of the course.
  4. If you have questions, check out the FAQ Google Doc.

Course Information:

  • Time/Dates: Every day (time TBD), Jan 8 - Jan 19
  • Location: MIT, Room TBD
  • Instructor: Lex Fridman
  • Contact: deepcars@mit.edu

MIT 6.S094: Deep Learning for Self-Driving Cars is a course on a cutting-edge research area. The research group behind this course includes:

2018 Lecture Slides and Videos:

We have a lot of exciting lectures coming up in 2018. Stay tuned for the announcements...

2017 Lecture Slides and Videos:

  • Lecture 1: Introduction to Deep Learning and Self-Driving Cars
    [ Slides ] - [ Lecture Video ]
  • Lecture 2: Deep Reinforcement Learning for Motion Planning
    [ Slides ] - [ Lecture Video ]
  • Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
    [ Slides ] - [ Lecture Video ]
  • Lecture 4: Recurrent Neural Networks for Steering through Time
    [ Slides ] - [ Lecture Video ]
  • Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
    [ Slides ] - [ Lecture Video ]

2018 Guest Talks:

We have a lot of exciting talks coming up in 2018. Stay tuned for the announcements...

2017 Guest Talks:

From Research to Reality: Testing Self-Driving Cars on Public Roads
CEO, nuTonomy and Research Scientist, MIT
Self-Driving Vehicles, SLAM, and Deep Learning
Professor, MIT
Technology, Policy and Vehicle Safety in the Age of AI
Professor, Stanford
Past, Present, and Future of Motion Planning in a Complex World
Professor, MIT
We Only Adopt What We Trust: Policy and the Business of Autonomy
White House Presidential Innovation Fellow, Office of Science and Technology Policy

Big Thanks

Support for this course was provided by the good folks at MIT-SUTD and the Toyota Class Action Settlement Safety Research and Education Program. The prizes for the competition were provided by our friends and fellow self-driving car engineers at Udacity. And none of it would be possible without the great community of bright young minds at MIT and beyond.