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Minimax analysis
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Classroom Contents
Sample-Complexity of Estimating Convolutional and Recurrent Neural Networks
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- 1 Intro
- 2 FNN, CNN and RNN architectures
- 3 CNN generative models
- 4 Minimax analysis
- 5 Estimator and Assumptions
- 6 Main results (Informal)
- 7 Related work
- 8 Upper bounds (formal)
- 9 Proof sketch
- 10 Lower bounds (formal)
- 11 Experiments - CNN (average pooling) vs FNN
- 12 Experiments - CNN (weighted pooling) vs FNN
- 13 Open questions
