is_robust

<p>A <code>"ruta_autoencoder"</code> object</p>

learner

<p>Detect whether an autoencoder is robust</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

is_robust: Detect whether an autoencoder is robust

Description

Usage

Arguments

Value

See Also