Construct · 1 fields · 1 citations

layer normalization: a standalone construct

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Machine learning

normalizing the summed inputs to the neurons within a layer for each training case separately, so it works for recurrent networks and small batches.

In machine learning, layer normalization refers to normalizing the summed inputs to the neurons within a layer for each training case separately, so it works for recurrent networks and small batches. This meaning comes from Ba (2016) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

case2 fields · 3 citationsjingle · one word, two constructs layer3 fields · 5 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Ba, J. L., Kiros, J. R., & Hinton, G. E. (2016). Layer Normalization. arXiv. https://doi.org/10.48550/arxiv.1607.06450

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