MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces computer vision, convolutional neural networks, and end-to-end learning of the driving task.

INFO:
Slides: http://bit.ly/2HdXYvf
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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Видео MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task канала Lex Fridman