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