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Dec, 2023
探究实施因素对深度学习可复现性的影响
Examining the Effect of Implementation Factors on Deep Learning Reproducibility
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Kevin Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen
TL;DR
通过研究深度学习研究的实施因素对结果的影响以及如何影响深度学习研究的可重复性，我们发现硬件和软件环境的变化会导致相同确定性示例的准确性范围大于6％，建议研究人员在不同的硬件和软件环境中多次运行实验以验证结果不受影响。
Abstract
Reproducing published
deep learning
papers to validate their conclusions can be difficult due to sources of irreproducibility. We investigate the impact that
implementation factors
have on the results and how the
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