MIT Open 2018 Autopilot Course _ unmanned

This course focuses on the practice and application of deep learning, mainly for beginners, designed for machine learning, but the advanced researchers in this field can also provide a more complete summary and understanding of depth learning and their applications through this course. If you are interested in this course, the following points may be useful:


1. Register an account on the website to ensure that you can follow up on the latest courses. Courses are free and open to the public. If you are a student at MIT and want to receive credits, please register here.

2. Two ways to join our slack: Using the MIT College Mail Register invited to register

3.2017-year course speech and guest lectures

4. If you have any questions, please check the FAQ

5. Students who have enrolled, please check the address of the lecture hall and other details

6. Communicate with Lex on the twitter,linkedin,instagram,facebook, or subscribe to YouTube.

7. Learning mit6.s099: Artificial Intelligence course arrangement.


Course Information

Time/Date: January 8-19th, 7 o'clock in the afternoon hours per day: 60-90 minutes Lecturer: Lex Fridman Contact: deepcars@mit.edu

MIT 6.s094:deep Learning for self-driving cars is a research course in the Forefront field, and the curriculum research team includes:

2018 Course and presentation arrangements

2017 course PPT and speech video address

Lecture 1:introduction to Deep Learning and self-driving courseware address presentation Video]

Lecture 2:deep reinforcement Learning for Motion courseware address video]

Lecture 3:convolutional Neural Networks for End-to-end Learning of the driving task[courseware address Video]

Lecture 4:recurrent Neural Networks for steering through time[Courseware address presentation Video]

Lecture 5:deep Learning for human-centered semi-autonomous vehicles[Courseware address presentation Video]

Extra:mit Sloan:intro to Machine Learning (in 360/VR) [Courseware address speech Video]

2017 Guest Speeches

Theme 1:technology, Policy and Vehicle Safety in the age of ai[speech Video]
Chris Gerdes
Professor Stanford

Theme 2:past, Present, and Future of Motion planning in a Complex world[speech video]
Sertac Karaman
Professor, MIT

Theme 3:from reality:testing self-driving Cars on public roads[speech video]
Karl Iagnemma
CEO, nutonomy and scientist, MIT

Theme 4:self-driving vehicles, SLAM, and Deep learning[speech Video]
John Leonard
Professor, MIT

Theme 5:we only adopt What We Trust:policy and the Business of autonomy[lecture Video]
Eric Daimler
White House Presidential Innovation Fellow, Office of science and Technology Policy

Original address: https://selfdrivingcars.mit.edu