Poster
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur · Srinadh Bhojanapalli · Nathan Srebro
East Meeting level; 1,2,3 #15
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Abstract
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Abstract:
We present a generalization bound for feedforward neural networks in terms of the product of the spectral norm of the layers and the Frobenius norm of the weights. The generalization bound is derived using a PAC-Bayes analysis.
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