decode_predictions

These map the class integers to the actual class names
in the pre-defined models.

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

decode_predictions function

<dl><dt>pred</dt>
<dd>the output of predictions from the specified model</dd>
<dt>model</dt>
<dd>the model you wish to preprocess to</dd>
<dt>top</dt>
<dd>integer, how many top-guesses to return.</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

Decode predictions from pre-defined imagenet networks — decode_predictions

<dl>

<dt>pred</dt>
<dd>the output of predictions from the specified model</dd>


<dt>model</dt>
<dd>the model you wish to preprocess to</dd>


<dt>top</dt>
<dd>integer, how many top-guesses to return.</dd>

</dl>

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

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decode_predictions: Decode predictions from pre-defined imagenet networks

Description

Usage

Arguments

Author

References