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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 ℝ(m) to an output space ℝ(n). The piecewise behavior corresponds to a polyhedral decomposition...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682363/ https://www.ncbi.nlm.nih.gov/pubmed/38033354 http://dx.doi.org/10.3389/fdata.2023.1274831 |