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ReLU network training - weight decay
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Classroom Contents
Rapture of the Deep: Highs and Lows of Sparsity in Neural Networks
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- 1 Intro
- 2 Based on joint work with
- 3 Sparsity & frugality
- 4 Sparsity & interpretability
- 5 Deep sparsity?
- 6 Bilinear sparsity: blind deconvolution
- 7 ReLU network training - weight decay
- 8 Behind the scene
- 9 Greed is good?
- 10 Optimization with support constraints
- 11 Application: butterfly factorization
- 12 Wandering in equivalence classes
- 13 Other consequences of scale-invariance
- 14 Conservation laws
