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Learnability of the Boolean Innerproduct in Deep Neural Networks
In this paper, we study the learnability of the Boolean inner product by a systematic simulation study. The family of the Boolean inner product function is known to be representable by neural networks of threshold neurons of depth 3 with only [Formula: see text] units (n the input dimension)—whereas...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407482/ https://www.ncbi.nlm.nih.gov/pubmed/36010780 http://dx.doi.org/10.3390/e24081117 |