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Future of Computer Vision
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Classroom Contents
Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun
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- 1 Intro
- 2 ACM President
- 3 Two paradigms for AI
- 4 Symbolic and biological paradigms
- 5 Programming
- 6 Neural nets
- 7 Random weights
- 8 Rosenblatt
- 9 Winter
- 10 How Neural Networks Work
- 11 Types of Learning Algorithms
- 12 Supervised Learning
- 13 Back Propagation
- 14 Backpropagation
- 15 Silly Theories
- 16 Conference Rejection
- 17 Technical Advances
- 18 Acoustic Modeling
- 19 Object Recognition
- 20 Machine Translation
- 21 Future of Computer Vision
- 22 Future of Neural Networks
- 23 Handwriting Recognition
- 24 Perceptual World
- 25 Hierarchy
- 26 Bill Recognition
- 27 Face Detection
- 28 Pedestrian Detection
- 29 Segmentation
- 30 Panopticon Network
- 31 Medical Image Analysis
- 32 Breast Cancer Detection
- 33 MRI Data Collection
- 34 Translation with Neural Networks
- 35 Image Segmentation
- 36 Reinforcement Learning
- 37 Training a Robot
- 38 Training a Car
- 39 Developmental Psychology
- 40 Object permanence
- 41 Wheres the salvation
