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>.
|Author||David Charte [aut, cre] (<https://orcid.org/0000-0002-4830-9512>), Francisco Charte [aut] (<https://orcid.org/0000-0002-3083-8942>), Francisco Herrera [aut]|
|Maintainer||David Charte <[email protected]>|
|License||GPL (>= 3) | file LICENSE|
|Package repository||View on CRAN|
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