python - How to normalise inputs inside a Keras model -


when using keras, found it's important normalise inputs variables (mean value = 0) , (standard error = 1). perform normalisation before start training, wonder if there way perform procedure inside model? such using dedicated layer or activation function it. don't need normalise inputs variables manually.


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