Deep Learning for Self-Driving Cars : Lecture 4

Deep Learning for Self-Driving Cars : Lecture 4

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars.

If you are interested in this course, you can go to  and Register an account on the site to stay up-to-date. The material for the course is free and open to the public.

In order to reach more people who are interested in Deep learning, machine learning and artificial intelligence, I would like to share this course material on my website.

This lecture introduces “Recurrent Neural Networks for Steering Through Time”..

You can reach slides here..





Lex Fridman is a Postdoctoral Associate at the MIT AgeLab. He received his BS, MS, and PhD from Drexel University where he worked on applications of machine learning and numerical optimization techniques in a number of fields including robotics, ad hoc wireless networks, active authentication, and activity recognition. Before joining MIT, Dr. Fridman worked as a visiting researcher at Google. His research interests include machine learning, decision fusion, developing and applying deep neural networks in the context of driver state sensing, scene perception, and shared control of semi-autonomous vehicles and numerical optimization.

Social Media Share

Leave a Reply

Your email address will not be published.