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    6.S094: Deep Learning for Self-Driving Cars

    Massachusetts Institute of Technology via Independent

    2 Reviews 227 students interested
    Found in Artificial Intelligence, Autonomous Vehicles
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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

    Class Central Charts

    Tags

    deep learning core autonomous core autonomous vehicles core

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

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    Andrea M
    3.0 7 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
    Was this review helpful to you? Yes
    NN
    Norman N
    4.0 2 years ago
    Norman completed this course.
    Was this review helpful to you? Yes
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