UpSampling

UpSampling1D

UpSampling2D

UpSampling3D

Repeats each temporal step size a given number of times.

Provides a consistent interface to the 'Keras' Deep Learning Library
directly from within R. 'Keras' provides specifications for describing dense
neural networks, convolution neural networks (CNN) and recurrent neural networks
(RNN) running on top of either 'TensorFlow' or 'Theano'. Type conversions between
Python and R are automatically handled correctly, even when the default
choices would otherwise lead to errors. Includes complete R documentation
and many working examples.

Taylor Arnold

kerasR

R Interface to the Keras Deep Learning Library

Andrie de Vries

UpSampling function

<dl><dt>size</dt>
<dd>integer. Upsampling factor.</dd>
<dt>input_shape</dt>
<dd>only need when first layer of a model;
sets the input shape of the data</dd>
<dt>data_format</dt>
<dd>A string, one of channels_last
(default) or channels_first.</dd></dl>

Arguments

Taylor B. Arnold, <a href="/link/taylor.arnold%40acm.org?package=kerasR&version=0.8.1" data-mini-rdoc="kerasR::taylor.arnold@acm.org">taylor.arnold@acm.org</a>

Author

UpSampling layers. — UpSampling

<dl>

<dt>size</dt>
<dd>integer. Upsampling factor.</dd>


<dt>input_shape</dt>
<dd>only need when first layer of a model;
sets the input shape of the data</dd>


<dt>data_format</dt>
<dd>A string, one of channels_last
(default) or channels_first.</dd>

</dl>

Taylor B. Arnold, <a href='mailto:taylor.arnold@acm.org'>taylor.arnold@acm.org</a>

UpSampling: UpSampling layers.

Description

Usage

Arguments

Author

References