Deep Learning for Vision: Tricks of the Trade

Deep Learning for Vision: Tricks of the Trade

Meta Developers via YouTube Direct link

Learning Non-Linear Features

5 of 23

5 of 23

Learning Non-Linear Features

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Deep Learning for Vision: Tricks of the Trade

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  1. 1 Intro
  2. 2 Ideal Features
  3. 3 The Manifold of Natural Images
  4. 4 Ideal Feature Extraction
  5. 5 Learning Non-Linear Features
  6. 6 Linear Combination prediction of class
  7. 7 A Potential Problem with Deep Learning
  8. 8 Deep Learning in Practice
  9. 9 KEY IDEAS: WHY DEEP LEARNING
  10. 10 Buzz Words
  11. 11 (My) Definition
  12. 12 ConvNets: today
  13. 13 Deep Gated MRF
  14. 14 Sampling High-Resolution Images
  15. 15 Sampling After Training on Face Images
  16. 16 Cons
  17. 17 CONV NETS: TYPICAL ARCHITECTURE
  18. 18 CONV NETS: EXAMPLES
  19. 19 CHOOSING THE ARCHITECTURE
  20. 20 HOW TO OPTIMIZE
  21. 21 HOW TO IMPROVE GENERALIZATION
  22. 22 OTHER THINGS GOOD TO KNOW
  23. 23 WHAT IF IT DOES NOT WORK?

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