k_normalize_batch_in_training: Computes mean and std for batch then apply...

In dfalbel/keras: R Interface to 'Keras'

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://keras.rstudio.com/articles/backend.html#backend-functions.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.