Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun

Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun

Association for Computing Machinery (ACM) via YouTube Direct link

Object permanence

40 of 41

40 of 41

Object permanence

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Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun

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

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