From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge

From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge

Alan Turing Institute via YouTube Direct link

Neural networks

17 of 20

17 of 20

Neural networks

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From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge

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  1. 1 Intro
  2. 2 Dose
  3. 3 Imposed problems
  4. 4 Variation regularization
  5. 5 Applications
  6. 6 Examples
  7. 7 Regularizers
  8. 8 The idea
  9. 9 Key words
  10. 10 Deep neural networks
  11. 11 What are people doing
  12. 12 Pseudoinverse
  13. 13 Learning the regularizer
  14. 14 Bilevel optimization problem
  15. 15 Training the regularizer
  16. 16 Gradient descent step
  17. 17 Neural networks
  18. 18 Results
  19. 19 Takeaway messages
  20. 20 Disadvantages

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