MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles

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United States Lex Fridman
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This is lecture 5 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017.

INFO:
Slides: http://bit.ly/2HcHq6O
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Playlist: https://goo.gl/SLCb1y

Links to individual lecture videos for the course:

Lecture 1: Introduction to Deep Learning and Self-Driving Cars
https://youtu.be/1L0TKZQcUtA

Lecture 2: Deep Reinforcement Learning for Motion Planning
https://youtu.be/QDzM8r3WgBw

Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
https://youtu.be/U1toUkZw6VI

Lecture 4: Recurrent Neural Networks for Steering through Time
https://youtu.be/nFTQ7kHQWtc

Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
https://youtu.be/ByZF8_-OJNI

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Tags:
mit
deep learning
self-driving cars
driver state
gaze classification
drowsiness detection
emotion recognition
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