Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M

Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M

Alan Turing Institute via YouTube Direct link

Three Theorems

14 of 16

14 of 16

Three Theorems

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Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M

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  1. 1 Intro
  2. 2 Deep Neural Networks
  3. 3 ReLU Networks
  4. 4 Architecture of Neural Networks
  5. 5 Structure of TW.L
  6. 6 Comparing T, with
  7. 7 Approximation Error
  8. 8 Approximation Classes
  9. 9 More general construction
  10. 10 Consequences
  11. 11 Extremes
  12. 12 Let us be careful
  13. 13 Manifold Approximation
  14. 14 Three Theorems
  15. 15 Covering
  16. 16 Last Thoughts

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