Web: http://arxiv.org/abs/2202.01627

June 16, 2022, 1:11 a.m. | Felix Biggs, Benjamin Guedj

cs.LG updates on arXiv.org arxiv.org

We focus on a specific class of shallow neural networks with a single hidden
layer, namely those with $L_2$-normalised data and either a sigmoid-shaped
Gaussian error function ("erf") activation or a Gaussian Error Linear Unit
(GELU) activation. For these networks, we derive new generalisation bounds
through the PAC-Bayesian theory; unlike most existing such bounds they apply to
neural networks with deterministic rather than randomised parameters. Our
bounds are empirically non-vacuous when the network is trained with vanilla
stochastic gradient descent …

arxiv lg networks neural neural networks

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