Treffer: Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations.
Title:
Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations.
Authors:
Source:
CoRR. abs/2401.17345
Availability:
Database:
dblp computer science bibliography