fit_image_data_generator

Required for <code>featurewise_center</code>, <code>featurewise_std_normalization</code>
and <code>zca_whitening</code>.

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

fit_image_data_generator function

<dl><dt>object</dt>
<dd><code>image_data_generator()</code></dd>
<dt>x</dt>
<dd>array, the data to fit on (should have rank 4). In case of grayscale data,
the channels axis should have value 1, and in case of RGB data, it should have value 3.</dd>
<dt>augment</dt>
<dd>Whether to fit on randomly augmented samples</dd>
<dt>rounds</dt>
<dd>If <code>augment</code>, how many augmentation passes to do over the data</dd>
<dt>seed</dt>
<dd>random seed.</dd></dl>

Arguments

Fit image data generator internal statistics to some sample data. — fit_image_data_generator

<dl>

<dt>object</dt>
<dd><code>image_data_generator()</code></dd>


<dt>x</dt>
<dd>array, the data to fit on (should have rank 4). In case of grayscale data,
the channels axis should have value 1, and in case of RGB data, it should have value 3.</dd>


<dt>augment</dt>
<dd>Whether to fit on randomly augmented samples</dd>


<dt>rounds</dt>
<dd>If <code>augment</code>, how many augmentation passes to do over the data</dd>


<dt>seed</dt>
<dd>random seed.</dd>

</dl>

Fit image data generator internal statistics to some sample data.

fit_image_data_generator: Fit image data generator internal statistics to some sample data.

Description

Usage

Arguments

See Also