# Applies batch normalization on x given mean, var, beta and gamma.

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 Mean of batch. var Variance of batch. beta Tensor with which to center the input. gamma Tensor by which to scale the input. axis Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis. epsilon 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.