Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University

Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University

Alan Turing Institute via YouTube Direct link

Intro

1 of 17

1 of 17

Intro

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Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University

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  1. 1 Intro
  2. 2 prediction problem
  3. 3 deep nets approximate
  4. 4 deep nets and splines
  5. 5 spline approximation
  6. 6 max-affine spline (MAS)
  7. 7 max-affine spline operator (MASO)
  8. 8 partitioning
  9. 9 MASO spline partition
  10. 10 learning
  11. 11 theory of the MASO partition
  12. 12 local affine mapping - CNN
  13. 13 deep nets are matched filterbanks
  14. 14 partition-based signal distance
  15. 15 understanding data augmentation
  16. 16 summary
  17. 17 additional research directions

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