You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

This dataset has no data

Cite this as

Sergey Ioffe, Christian Szegedy (2024). Dataset: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. https://doi.org/10.57702/o9raffed

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

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