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autoencoder  

Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data
View on CRAN: Click here


Download and install autoencoder package within the R console
Install from CRAN:
install.packages("autoencoder")

Install from Github:
library("remotes")
install_github("cran/autoencoder")

Install by package version:
library("remotes")
install_version("autoencoder", "1.1")



Attach the package and use:
library("autoencoder")
Maintained by
Yuriy Tyshetskiy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-21
Latest Update: 2023-08-18
Description:
Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.
How to cite:
Yuriy Tyshetskiy (2014). autoencoder: Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data. R package version 1.1, https://cran.r-project.org/web/packages/autoencoder. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2014-05-21 15:47), 1.1 (2015-07-02 09:09)
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