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Deep Learning II - Joan Bruna NYU

Deep Learning II - Joan Bruna NYU

Paul G. Allen School via YouTube Direct link

Continuous Domain

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Continuous Domain

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Deep Learning II - Joan Bruna NYU

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  1. 1 Introduction
  2. 2 Motivation
  3. 3 Symmetry
  4. 4 Transformations
  5. 5 Time Series
  6. 6 Continuous Domain
  7. 7 Geometric Stability
  8. 8 Convolutional Network
  9. 9 Other Models
  10. 10 Spatial Support
  11. 11 Convolutional Kernel Networks
  12. 12 Reproducing Kernels
  13. 13 Scattering Representation

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