plot_model

This function requires that you have installed graphviz and
pydot in Python.

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

plot_model function

<dl><dt>model</dt>
<dd>model object to plot</dd>
<dt>to_file</dt>
<dd>output location of the plot)</dd>
<dt>show_shapes</dt>
<dd>controls whether output shapes are shown in the
graph</dd>
<dt>show_layer_names</dt>
<dd>controls whether layer names are shown in the
graph</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

Plot model architecture to a file — plot_model

<dl>

<dt>model</dt>
<dd>model object to plot</dd>


<dt>to_file</dt>
<dd>output location of the plot)</dd>


<dt>show_shapes</dt>
<dd>controls whether output shapes are shown in the
graph</dd>


<dt>show_layer_names</dt>
<dd>controls whether layer names are shown in the
graph</dd>

</dl>

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

plot_model: Plot model architecture to a file

Description

Usage

Arguments

Author

References