fdavidcl/ruta: Implementation of Unsupervised Neural Architectures
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>.
Getting started
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Package details |
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| Maintainer | |
| License | GPL (>= 3) | file LICENSE |
| Version | 1.2.0 |
| URL | https://github.com/fdavidcl/ruta |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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