{"ID":2847111,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.05552","arxiv_id":"2511.05552","title":"Deep one-gate per layer networks with skip connections are universal classifiers","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.","short_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.","url_abs":"https://arxiv.org/abs/2511.05552","url_pdf":"https://arxiv.org/pdf/2511.05552v1","authors":"[\"Raul Rojas\"]","published":"2025-11-02T21:12:38Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"cs.AI\"]","methods":"[]","has_code":false}