Implementation of Transformer Deep Neural Network with Vignettes

Transformer is a Deep Neural Network Architecture based i.a. on the Attention mechanism (Vaswani et al. (2017) ).


transformer

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Implementation of Transformer Deep Neural Network with Vignettes.

Installation

The package can be installed from CRAN using:

install.packages('transformer')

Preview version

You can install the development version of transformer from GitHub with:

if (!require('remotes')) install.packages('remotes')
remotes::install_github('bquast/transformer')

Development

Development takes place on the GitHub page.

https://github.com/bquast/transformer

Bugs can be filed on the issues page on GitHub.

https://github.com/bquast/transformer/issues

Reference manual

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install.packages("transformer")

0.2.0 by Bastiaan Quast, 3 years ago


Browse source code at https://github.com/cran/transformer


Authors: Bastiaan Quast [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports attention

Suggests covr, testthat


See at CRAN