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深層学習で切り拓くパーソナルロボットの未来 @東京大学 先端技術セミナー 工学最前線

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June 28, 2019
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深層学習で切り拓くパーソナルロボットの未来 @東京大学 先端技術セミナー 工学最前線

Avatar for Yuya Unno

Yuya Unno

June 28, 2019
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Transcript

  1. 0 1Preferred Networks

  2. l l Chainer CuPy OSS l 2

  3. Preferred Networks (PFN) l 2014 3 l l l 3

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  8. CEATEC JAPAN 2018 (Oct 16–19, 2018) 8

  9. 9

  10. 10

  11. 11

  12. 12

  13. 0 1 l l 2012 l He. et.al, Deep Residual

    Learning for Image Recognition. CVPR 2016. 

  14. 14

  15. 2 3 2 3 15

  16. 2 3 16

  17. 17

  18. 18

  19. 19

  20. 20 /

  21. l l l l l l 21

  22. l l (RGBD) l (RGB) l 4 (RGB) l l

    300 22

  23. 23 Sparse Dense

  24. 2 3 24

  25. 25

  26. 26

  27. 27

  28. Needs English subtitles

  29. 29

  30. Needs English subtitles

  31. 31

  32. 32

  33. 33

  34. 34

  35. 35

  36. 36 AR

  37. PFDet l Google 2 l 170 1200 l NVIDIA Tesla

    V100 512 37 T. Akiba, et.al. PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. ECCV2018.

  38. l l 38 K. Takahashi, J. Tan. Deep Visuo-Tactile Learning:

    Estimation of Tactile Properties from Images. ICRA2019.

  39. l l 39 J. Hatori, et.al. Interactively Picking Real-World Objects

    with Unconstrained Spoken Language Instructions. ICRA2018.

  40. 40

  41. 41 NVIDIA Tesla V100 (32GB) 512 Infiniband P

  42. 42

  43. 43

  44. 44

  45. l 2 3 l 45

  46. l G l l 46

  47. l 2 l l l l 47

  48. 48

  49. None

  50. 50 55

  51. l l l l 0 1 l 0 1 l

    l l 51

  52. l l l 52

  53. × l 0 1 l 0 1 l 53

  54. 15 l l 2 3 l 54

  55. 55 Photo by Kuha455405 / CC BY-SA 3.0

  56. × l MD l MP3 1, 2 1 l ×

    l × 9 01 56

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  58. 0 1 1 100 58 l l 0 1 U

    l l 0 1

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  62. 62

  63. 1 l l 4 l 63

  64. PFI/PFN 64 OSS Blog TechTalk

  65. × l l l 2 3 l 2 3 65

  66. l 1 l G 2 66

  67. l l l l 295 3 l 25 3 l

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