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

Raul Rojas

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arXiv · 2511.05552

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

Raul Rojas

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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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Raul Rojas. 2025-11-02. Deep one-gate per layer networks with skip connections are universal classifiers. https://arxiv.org/abs/2511.05552

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