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Integrating geometries of ReLU feedforward neural networks

This paper investigates the integration of multiple geometries present within a ReLU-based neural network. A ReLU neural network determines a piecewise affine linear continuous map, M, from an input space ℝm to an output space ℝn. The piecewise behavior corresponds to a polyhedral decomposition of ℝ...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Yajing Liu, Turgay Caglar, Christopher Peterson, Michael Kirby
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-11-01
Schriftenreihe:Frontiers in Big Data
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/fdata.2023.1274831/full
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