Keywords

#batch_normalization

Batch normalization

Method used to make artificial neural networks faster and stable by re-centering and re-scaling

Batch normalization is a method used to make training of artificial neural networks faster and more stable through normalization of the layers' inputs by re-centering and re-scaling. It was proposed by Sergey Ioffe and Christian Szegedy in 2015.

Mon 22nd

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Batch normalization Normalization (machine learning) Feature scaling Vanishing gradient problem Rectifier (neural networks) Keras Gated recurrent unit Residual neural network BN Federated learning
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