k_normalize_batch_in_training {keras}

Computes mean and std for batch then apply batch_normalization on batch.

Description

Computes mean and std for batch then apply batch_normalization on batch.

Usage

k_normalize_batch_in_training(x, gamma, beta, reduction_axes, epsilon = 0.001)

Arguments

x

Input tensor or variable.

gamma

Tensor by which to scale the input.

beta

Tensor with which to center the input.

reduction_axes

iterable of integers, axes over which to normalize.

epsilon

Fuzz factor.

Value

A list length of 3, ⁠(normalized_tensor, mean, variance)⁠.

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://tensorflow.rstudio.com/reference/keras/index.html#backend.