YoVDO

6.S094: Deep Learning for Self-Driving Cars

Offered By: Massachusetts Institute of Technology via Independent

Tags

Autonomous Vehicles Courses Deep Learning Courses Human-Centered Design Courses Self-Driving Cars Courses Deep Reinforcement Learning Courses

Course Description

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

Tags

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX