An inverse-regression model maps test accuracy distributions to layer sizes and suggests architectures that, in a small MLP study, beat the best accuracy in the original training grid.
Approximation capabilities of multilayer feedforward networks,
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ASNN: Learning to Suggest Neural Architectures from Performance Distributions
An inverse-regression model maps test accuracy distributions to layer sizes and suggests architectures that, in a small MLP study, beat the best accuracy in the original training grid.