Online Course
6.S094: Deep Learning for Self-Driving Cars
Massachusetts Institute of Technology via Independent
Overview
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.
Syllabus
- 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 ]
Taught by
Lex Fridman
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Reviews
3.5 rating, based on 2 reviews
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Andrea Migotto
Andrea Migotto completed this course and found the course difficulty to be easy.
a good general overview of the application of deep learning in the world of autonomous driving, being the subject very vast nothing is treated in detail -
Norman
Norman completed this course.
Never Stop Learning!
