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-dee...
Playlist: https://goo.gl/SLCb1y

Links to individual lecture videos for the course:

Lecture 1: Introduction to Deep Learning and Self-Driving Cars
   • MIT 6.S094: Introduction to Deep Lear...  

Lecture 2: Deep Reinforcement Learning for Motion Planning
   • MIT 6.S094: Deep Reinforcement Learni...  

Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
   • MIT 6.S094: Convolutional Neural Netw...  

Lecture 4: Recurrent Neural Networks for Steering through Time
   • MIT 6.S094: Recurrent Neural Networks...  

Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
   • MIT 6.S094: Deep Learning for Human-C...  

CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- AI Podcast: https://lexfridman.com/ai/
- LinkedIn:   / lexfridman  
- Twitter:   / lexfridman  
- Facebook:   / lexfridman  
- Instagram:   / lexfridman  
- Slack: https://deep-mit-slack.herokuapp.com