Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks
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DOI: 10.1109/access.2023.3268034
Abstract: We state concentration inequalities for the output of the hidden layers of a stochastic deep neural network (SDNN), as well as for the output of the whole SDNN. These results allow us to introduce an… read more here.
Keywords: concentration inequalities; optimal number; number layers; deep neural ... See more keywords