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attention  

Self-Attention Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("attention", "0.4.0")



Attach the package and use:
library("attention")
Maintained by
Bastiaan Quast
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-24
Latest Update: 2023-11-10
Description:
Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Vaswani et al. (2017) , Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) "Attention and Memory in Deep Learning".
How to cite:
Bastiaan Quast (2022). attention: Self-Attention Algorithm. R package version 0.4.0, https://cran.r-project.org/web/packages/attention. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-06-24 19:00), 0.2.0 (2022-07-12 16:20), 0.3.0 (2023-04-23 17:50)
Other packages that cited attention R package
View attention citation profile
Other R packages that attention depends, imports, suggests or enhances
Complete documentation for attention
Functions, R codes and Examples using the attention R package
Some associated functions: ComputeWeights . RowMax . SoftMax . attention . 
Some associated R codes: ComputeWeights.R . RowMax.R . SoftMax.R . attention.R .  Full attention package functions and examples
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