Gunnar Carlsson - Topological Deep Learning

Gunnar Carlsson - Topological Deep Learning

Applied Algebraic Topology Network via YouTube Direct link

Intro

1 of 28

1 of 28

Intro

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Gunnar Carlsson - Topological Deep Learning

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  1. 1 Intro
  2. 2 What is Deep Learning?
  3. 3 Problems
  4. 4 Convolutional Neural Networks
  5. 5 Mumford Data Set (De Silva, Ishkhanov, Zomorodian, C.)
  6. 6 Image Patch Analysis: Primary Circle
  7. 7 Image Patch Analysis: Three Circle Model
  8. 8 Image Patch Analysis: Klein Bottle
  9. 9 Primary Visual Cortex
  10. 10 Visual Pathway
  11. 11 The Shape of Data
  12. 12 Topology
  13. 13 How to Build Networks - Mapper Construction
  14. 14 Topological Modeling
  15. 15 Topological Analysis of Weight Spaces (MNIST)
  16. 16 Topological Analysis of Weight Spaces (Cifar10)
  17. 17 Topological Analysis of Weight Spaces (VGG16)
  18. 18 Convolutional Situation
  19. 19 Discovered Geometry
  20. 20 Feature Space Modeling
  21. 21 Microarray Analysis of Breast Cancer Cohort
  22. 22 Explaining the Different Cohorts
  23. 23 UCSD Microbiome
  24. 24 Generalized Convolutional Nets
  25. 25 Klein Bottle Connections
  26. 26 Generalization
  27. 27 Learning on Video
  28. 28 Gary Marcus

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