img_to_array

Converts a PIL Image instance to a Numpy array.

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

img_to_array function

<dl><dt>img</dt>
<dd>PIL image file; usually loaded with load_img</dd>
<dt>data_format</dt>
<dd>either "channels_first" or "channels_last".</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

Converts a PIL Image instance to a Numpy array. — img_to_array

<dl>

<dt>img</dt>
<dd>PIL image file; usually loaded with load_img</dd>


<dt>data_format</dt>
<dd>either "channels_first" or "channels_last".</dd>

</dl>

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

img_to_array: Converts a PIL Image instance to a Numpy array.

Description

Usage

Value

Arguments

Author

References

See Also