Construct · 1 fields · 1 citations

group normalization: a standalone construct

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Machine learning

normalizing activations within groups of channels for each example, so accuracy does not depend on batch size the way batch normalization does.

In machine learning, group normalization refers to normalizing activations within groups of channels for each example, so accuracy does not depend on batch size the way batch normalization does. This meaning comes from Wu (2018) in arXiv.[1]

Unit
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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs batch1 fields · 2 citationsanchor · a standalone construct group4 fields · 4 citationsjingle · one word, four constructs

References

Wu, Y., & He, K. (2018). Group Normalization. arXiv. https://doi.org/10.48550/arxiv.1803.08494

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