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Batch normalization

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Batch normalisation is a technique for improving the performance and stability of neural networks. It was introduced in a 2015 paper.[1][2]

See also

  1. ^ Ioffe, Sergey; Szegedy, Christian. "Batch Normalization: Accelerating Deep Network Training b y Reducing Internal Covariate Shift" (PDF). {{cite journal}}: Cite journal requires |journal= (help)
  2. ^ "Glossary of Deep Learning: Batch Normalisation". medium.com. Retrieved 24 April 2018.
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