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Intro to ConvNets: The backbone of modern compu...

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April 10, 2019
Technology
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Intro to ConvNets: The backbone of modern computer vision

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Tryolabs

April 10, 2019

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Transcript

  1. The backbone of modern computer vision Intro to ConvNets

  2. 2

  3. 3 =

  4. 4

  5. Convolutional Network

  6. 6 ⊙ = Σ input output kernel

  7. 7 input output ⊙ = kernel Σ

  8. 8 input output = kernel Σ ⊙

  9. 9 input output ⊙ = kernel Σ

  10. 10 kernel input output

  11. 11

  12. 12 Optimization Label: Bird ConvNet Loss Function Prediction: Cat

  13. 13 Optimization ConvNet Prediction: Bird Loss Function Label: Bird

  14. 14 Non-linear function from: wikipedia.org Sigmoid Function

  15. 15 Pooling operation from: computersciencewiki.org

  16. 16

  17. 17 Conv layer Non-linear function Convolution & Non-linear function &

    Pooling Pooling Conv layer Non-linear function Pooling Conv layer Non-linear function

  18. 18 AlexNet (2012)

  19. Thanks!