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

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Authors: Sergey Ioffe, Christian Szegedy
Year: 2015
Journal: ICML
DOI: 10.48550/arXiv.1502.03167
Publisher: https://arxiv.org/abs/1502.03167

Keywords: batch normalization, deep learning

Abstract

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.

Cite this paper

bibtex
@misc{bnicml2015,
  title  = {Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift},
  author = {Sergey Ioffe, Christian Szegedy},
  year   = {2015},
  journal = {ICML},
  doi    = {10.48550/arXiv.1502.03167},
  url    = {https://doi.org/10.48550/arXiv.1502.03167},
}

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Released under the MIT License.