i.e. returns output <- (x - mean) / (sqrt(var) + epsilon) * gamma + beta

k_batch_normalization(x, mean, var, beta, gamma, axis = -1, epsilon = 0.001)

## Arguments

x Input tensor or variable. Mean of batch. Variance of batch. Tensor with which to center the input. Tensor by which to scale the input. Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis. Fuzz factor.

A tensor.

## Keras Backend

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.