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Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Antunes, Benjamin, Hill, David R. C
Format:	Preprint
Publié:	2024
Sujets:	Mathematical Software Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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