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Generalization Bounds for Neural Networks via Approximate Description Length

Amit Daniely, Elad Granot

Neural Information Processing Systems

Namely,thattheempirical lossofall the functions in the class is -close to the true loss. Finally, we develop a set of tools for calculating the approximate description length of classes of functions that can be presented as a composition of linear function classes and non-linear functions.