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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-deep-learning Playlist: https://goo.gl/SLCb1y CONNECT: - If you enjoyed this video, please subscribe to this channel. - AI Podcast: https://lexfridman.com/ai/ - Show your support: https://www.patreon.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Twitter: https://twitter.com/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Slack: https://deep-mit-slack.herokuapp.com LINKS: Playlist: https://goo.gl/SLCb1y Lecture 1: Deep Learning - https://youtu.be/-6INDaLcuJY Lecture 2: Self-Driving Cars - https://youtu.be/_OCjqIgxwHw Lecture 3: Deep Reinforcement Learning - https://youtu.be/MQ6pP65o7OM Lecture 4: Computer Vision - https://youtu.be/CLOAswsxudo Lecture 5: Deep Learning for Human Sensing - https://youtu.be/Z2GfE8pLyxc Guest talk: Sacha Arnoud, Waymo - https://youtu.be/LSX3qdy0dFg Guest talk: Emilio Frazolli, nuTonomy - https://youtu.be/dWSbItd0HEA Guest talk: Sterling Anderson, Aurora - https://youtu.be/HKBhP9JISF0 2017: Guest talk: Sertac Karaman, MIT - https://youtu.be/0fLSf3NO0-s Guest talk: Chris Gerdes, Stanford - https://youtu.be/LDprUza7yT4

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