This is lecture 4 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.

OUTLINE:
0:00 - Computer Vision and Convolutional Neural Networks
22:15 - Network Architectures for Image Classification
34:39 - Fully Convolutional Neural Networks
44:35 - Optical Flow
50:07 - SegFuse Dynamic Scene Segmentation Competition

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

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LINKS:
Playlist: https://goo.gl/SLCb1y
Lecture 1: Deep Learning -    • MIT 6.S094: Deep Learning  
Lecture 2: Self-Driving Cars -    • MIT Self-Driving Cars (2018)  
Lecture 3: Deep Reinforcement Learning -    • MIT 6.S094: Deep Reinforcement Learning  
Lecture 4: Computer Vision -    • MIT 6.S094: Computer Vision  
Lecture 5: Deep Learning for Human Sensing -    • MIT 6.S094: Deep Learning for Human S...  

Guest talk: Sacha Arnoud, Waymo -    • Sacha Arnoud, Director of Engineering...  
Guest talk: Emilio Frazolli, nuTonomy -    • Emilio Frazzoli, CTO, nuTonomy - MIT ...  
Guest talk: Sterling Anderson, Aurora -    • Sterling Anderson, Co-Founder, Aurora...  

2017:
Guest talk: Sertac Karaman, MIT -    • Sertac Karaman (MIT) on Motion Planni...  
Guest talk: Chris Gerdes, Stanford -    • Chris Gerdes (Stanford) on Technology...