apply_filter.ruta_noise_zeros

apply_filter.ruta_noise_ones

apply_filter.ruta_noise_saltpepper

apply_filter.ruta_noise_gaussian

apply_filter.ruta_noise_cauchy

apply_filter

filter

data

<p>Apply a filter to input data, generally a noise filter in
order to train a denoising autoencoder. Users won't generally need to use
these functions</p>

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

apply_filter.ruta_noise_zeros function

Apply filters — apply_filter.ruta_noise_zeros

Apply filters

apply_filter.ruta_noise_zeros: Apply filters

Description

Usage

Arguments

See Also