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MIT 6.S094: Computer Vision
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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:
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LINKS:
2017:
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:
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
LINKS:
2017:
MIT 6.S094: Computer Vision
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
MIT 6.S094: Deep Learning
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
Deep Learning for AI and Computer Vision
MIT 6.S094: Deep Reinforcement Learning
MIT 6.S094: Deep Learning for Human Sensing
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Lecture 1: Introduction to Machine Vision
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
Deep Learning Basics: Introduction and Overview
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