noise

Delegates on noise classes to generate noise of some type

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

noise function

<dl><dt>type</dt>
<dd>Type of noise, as a character string</dd>
<dt>...</dt>
<dd>Parameters for each noise class</dd></dl>

Arguments

Noise generator — noise

<dl>

<dt>type</dt>
<dd>Type of noise, as a character string</dd>


<dt>...</dt>
<dd>Parameters for each noise class</dd>

</dl>

noise: Noise generator

Description

Usage

Arguments