make_robust

The <code>"ruta_autoencoder"</code> object

learner

Sigma parameter in the kernel used for correntropy

sigma

Converts an autoencoder into a robust one by assigning a
correntropy loss to it. Notice that this will replace the previous loss
function

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

make_robust: Add robust behavior to any autoencoder

Description

Usage

Arguments

Value

See Also