Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

Simons Institute via YouTube Direct link

Gradient Descent

10 of 19

10 of 19

Gradient Descent

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Classroom Contents

Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

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  1. 1 Introduction
  2. 2 What is Optimization Generalization
  3. 3 Classical Machine Learning
  4. 4 Deep Learning
  5. 5 Content
  6. 6 Gradient Flow
  7. 7 Endtoend Dynamics
  8. 8 Conventional Approach
  9. 9 Implicit Preconditioning
  10. 10 Gradient Descent
  11. 11 Depth
  12. 12 Matrix Completion
  13. 13 Deep Matrix Factorization
  14. 14 Experiments
  15. 15 Dynamics of Singular Values
  16. 16 Matrix Completion Problem
  17. 17 Singular Value Dynamics
  18. 18 Recap
  19. 19 Nonlinearity

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