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Deep one-gate per layer networks with skip connections are universal classifiers

Published 2 Nov 2025 in cs.LG and cs.AI | (2511.05552v1)

Abstract: This paper shows how a multilayer perceptron with two hidden layers, which has been designed to classify two classes of data points, can easily be transformed into a deep neural network with one-gate layers and skip connections.

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