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transformer  

Implementation of Transformer Deep Neural Network with Vignettes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("transformer", "0.2.0")



Attach the package and use:
library("transformer")
Maintained by
Bastiaan Quast
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-28
Latest Update: 2023-11-10
Description:
Transformer is a Deep Neural Network Architecture based i.a. on the Attention mechanism (Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>).
How to cite:
Bastiaan Quast (2023). transformer: Implementation of Transformer Deep Neural Network with Vignettes. R package version 0.2.0, https://cran.r-project.org/web/packages/transformer. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-04-28 20:20)
Other packages that cited transformer R package
View transformer citation profile
Other R packages that transformer depends, imports, suggests or enhances
Complete documentation for transformer
Functions, R codes and Examples using the transformer R package
Some associated functions: feed_forward . layer_norm . multi_head . reexports . row_means . row_vars . transformer . 
Some associated R codes: attention.R . feed_forward.R . layer_norm.R . multi_head.R . row_means.R . row_vars.R . softmax.R . transformer.R .  Full transformer package functions and examples
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