Gauss Rank Transformation Is 100x Faster with RAPIDS and CuPy – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Jiwei Liu <![CDATA[Gauss Rank Transformation Is 100x Faster with RAPIDS and CuPy]]> http://www.open-lab.net/blog/?p=32741 2022-08-21T23:51:54Z 2021-06-11T15:00:00Z As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are...]]> As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are...

As explained in the Batch Normalization paper, training neural networks becomes way easier if its input is Gaussian. This is clear. And if your model inputs are not Gaussian, RAPIDS will just transform it to Gaussian in the blink of an eye. Gauss rank transformation is a novel standardization technique to transform input data for training deep neural networks. Recently, we used this technique��

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