as_loss

as_loss.character

as_loss.ruta_loss

Generic function to coerce objects into loss objects.

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

as_loss function

<dl><dt>x</dt>
<dd>Object to be converted into a loss</dd></dl>

Arguments

Coercion to ruta_loss — as_loss

<dl>

<dt>x</dt>
<dd>Object to be converted into a loss</dd>

</dl>

as_loss: Coercion to ruta_loss

Description

Usage

Value

Arguments