`R/backend.R`

`k_batch_normalization.Rd`

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

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

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.

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.