transformer: 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) <doi:10.48550/arXiv.1706.03762>).

Version: 0.2.0
Imports: attention (≥ 0.4.0)
Suggests: covr, testthat (≥ 3.0.0)
Published: 2023-11-10
DOI: 10.32614/CRAN.package.transformer
Author: Bastiaan Quast ORCID iD [aut, cre]
Maintainer: Bastiaan Quast <bquast at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: transformer results


Reference manual: transformer.pdf


Package source: transformer_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): transformer_0.2.0.tgz, r-oldrel (arm64): transformer_0.2.0.tgz, r-release (x86_64): transformer_0.2.0.tgz, r-oldrel (x86_64): transformer_0.2.0.tgz
Old sources: transformer archive


Please use the canonical form to link to this page.