Intro to ConvNets: The backbone of modern computer vision

Transcript

1. The backbone of modern computer vision Intro to ConvNets
3. 3 =
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
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
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!