to_keras.ruta_network

Implementation of several unsupervised neural networks,
from building their architecture to their training and evaluation. Available
networks are auto-encoders including their main variants: sparse, contractive,
denoising, robust and variational, as described in Charte et al. (2018)
<doi:10.1016/j.inffus.2017.12.007>.

David Charte

ruta

Implementation of Unsupervised Neural Architectures

Francisco Charte

Francisco Herrera

to_keras.ruta_network function

<dl><dt>x</dt>
<dd>A <code>"ruta_network"</code> object</dd>
<dt>input_shape</dt>
<dd>The length of each input vector (number of input attributes)</dd>
<dt>...</dt>
<dd>Unused</dd></dl>

Arguments

Build a Keras network — to_keras.ruta_network

<dl>

<dt>x</dt>
<dd>A <code>"ruta_network"</code> object</dd>


<dt>input_shape</dt>
<dd>The length of each input vector (number of input attributes)</dd>


<dt>...</dt>
<dd>Unused</dd>

</dl>

to_keras.ruta_network: Build a Keras network

Description

Usage

Value

Arguments