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