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6.S094: Deep Learning for Self-Driving Cars

Massachusetts Institute of Technology via Independent

2 Reviews 204 students interested

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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

Reviews for 6.S094: Deep Learning for Self-Driving Cars
3.5 Based on 2 reviews

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Andrea M
3.0 3 months ago
Andrea 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
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Norman N
4.0 2 years ago
Norman completed this course.
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