Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al., <doi:10.48550/arXiv.1412.3555>) and vanilla RNN.
Version: 1.9.0 Depends: R (≥ 3.2.2) Imports: attention, sigmoid (≥ 1.4.0) Suggests: testthat, knitr, rmarkdown Published: 2023-04-22 DOI: 10.32614/CRAN.package.rnn Author: Bastiaan Quast [aut, cre] Maintainer: Bastiaan Quast <bquast at gmail.com> BugReports: https://github.com/bquast/rnn/issues License: GPL-3 URL: https://qua.st/rnn/, https://github.com/bquast/rnn NeedsCompilation: no Citation: rnn citation info Materials: README NEWS CRAN checks: rnn results Documentation: Reference manual: rnn.pdf Vignettes: GRU unitsPlease use the canonical form https://CRAN.R-project.org/package=rnn to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4