k_normalize_batch_in_training

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

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

François Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_normalize_batch_in_training function

<dl><dt>x</dt>
<dd>Input tensor or variable.</dd>
<dt>gamma</dt>
<dd>Tensor by which to scale the input.</dd>
<dt>beta</dt>
<dd>Tensor with which to center the input.</dd>
<dt>reduction_axes</dt>
<dd>iterable of integers, axes over which to normalize.</dd>
<dt>epsilon</dt>
<dd>Fuzz factor.</dd></dl>

Arguments

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:
<a href="https://tensorflow.rstudio.com/reference/keras/index.html#backend">https://tensorflow.rstudio.com/reference/keras/index.html#backend</a>.

Keras Backend

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

<dl>

<dt>x</dt>
<dd>Input tensor or variable.</dd>


<dt>gamma</dt>
<dd>Tensor by which to scale the input.</dd>


<dt>beta</dt>
<dd>Tensor with which to center the input.</dd>


<dt>reduction_axes</dt>
<dd>iterable of integers, axes over which to normalize.</dd>


<dt>epsilon</dt>
<dd>Fuzz factor.</dd>

</dl>

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:
<a href='https://tensorflow.rstudio.com/reference/keras/index.html#backend'>https://tensorflow.rstudio.com/reference/keras/index.html#backend</a>.

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

Description

Usage

Value

Arguments

Keras Backend