Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

doi:doi:10.57702/o9raffed

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.

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The json representation of the dataset with its distributions based on DCAT.
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Sergey Ioffe, Christian Szegedy (2024). Dataset: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. https://doi.org/10.57702/o9raffed

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Sergey Ioffe
More Authors	Christian Szegedy