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deepNN  

Deep Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("deepNN", "1.2")



Attach the package and use:
library("deepNN")
Maintained by
Benjamin Taylor
[Scholar Profile | Author Map]
First Published: 2019-03-08
Latest Update: 2023-08-25
Description:
Implementation of some Deep Learning methods. Includes multilayer perceptron, different activation functions, regularisation strategies, stochastic gradient descent and dropout. Thanks go to the following references for helping to inspire and develop the package: Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach (2016, ISBN:978-0262035613) Deep Learning. Terrence J. Sejnowski (2018, ISBN:978-0262038034) The Deep Learning Revolution. Grant Sanderson (3brown1blue) Neural Networks YouTube playlist. Michael A. Nielsen Neural Networks and Deep Learning.
How to cite:
Benjamin Taylor (2019). deepNN: Deep Learning. R package version 1.2, https://cran.r-project.org/web/packages/deepNN. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.3 (2019-03-08 18:42), 1.0 (2020-03-05 13:00), 1.1 (2021-07-28 15:10)
Other packages that cited deepNN R package
View deepNN citation profile
Other R packages that deepNN depends, imports, suggests or enhances
Complete documentation for deepNN
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