Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Image Classification - Kevin McGuinness - UPC Barcelona 2018

224 views

Published on

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Image Classification - Kevin McGuinness - UPC Barcelona 2018

  1. 1. Kevin McGuinness kevin.mcguinness@dcu.ie Assistant Professor School of Electronic Engineering Dublin City University http://bit.ly/dlcv2018 #DLUPC
  2. 2. = ?
  3. 3. ● ● ● ● ● ● 7
  4. 4. ● ● ● ● ● ● ● ● ● 8
  5. 5. ● ● ● ● ● ● 9
  6. 6. 10
  7. 7. ● ○ ○ ○ ● ● 11 Zeiler and Fergus. Visualizing and understanding convolutional networks ECCV 2014
  8. 8. DeconvN et Conv Net 12 Zeiler and Fergus. Visualizing and understanding convolutional networks ECCV 2014
  9. 9. 13 Zeiler and Fergus. Visualizing and understanding convolutional networks ECCV 2014
  10. 10. 14 Zeiler and Fergus. Visualizing and understanding convolutional networks ECCV 2014
  11. 11. 15 Zeiler and Fergus. Visualizing and understanding convolutional networks ECCV 2014
  12. 12. ● ● ● ● ● ● ● 18
  13. 13. Inception module 19
  14. 14. 20
  15. 15. He et al. Deep Residual Learning for Image Recognition CVPR 2016 22
  16. 16. Thin curves: training error Bold curves: validation error 23 He et al. Deep Residual Learning for Image Recognition CVPR 2016
  17. 17. 24 He et al. Deep Residual Learning for Image Recognition CVPR 2016
  18. 18. 25 He et al. Deep Residual Learning for Image Recognition CVPR 2016
  19. 19. 26
  20. 20. 27
  21. 21. 28 ● ● ● ●
  22. 22. 29
  23. 23. 30
  24. 24. 31
  25. 25. 32
  26. 26. 33
  27. 27. ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● COCO Common Objects in Context
  28. 28. 38
  29. 29. 39
  30. 30. 40

×