Construct · 1 fields · 1 citations

internal covariate shift: a standalone construct

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Machine learning

the change in the distribution of a layer's inputs during training as earlier layers update, proposed as a reason training deep networks is slow.

In machine learning, internal covariate shift refers to the change in the distribution of a layer's inputs during training as earlier layers update, proposed as a reason training deep networks is slow. This meaning comes from Ioffe (2015) in arXiv.[1]

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covariate shift1 fields · 1 citationsanchor · a standalone construct distribution2 fields · 2 citationsjingle · one word, two constructs layer3 fields · 5 citationsjingle · one word, three constructs

References

Ioffe, S., & Szegedy, C. (2015). Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. arXiv. https://doi.org/10.48550/arxiv.1502.03167

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