add_weight_decay

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

learner

Numeric value indicating the amount of decay

decay

Adds a weight decay regularization to the encoding layer of a
given autoencoder

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

add_weight_decay: Add weight decay to any autoencoder

Description

Usage

Arguments

Value