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This is a Neural Network regression model implementation using 'Keras', consisting of 10 Long Short-Term Memory layers that are fully connected along with the rest of the inputs.
| Version: | 1.10 |
| Depends: | keras |
| Imports: | devtools, reticulate, tensorflow |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-12-02 |
| Author: | Vasileios Karapoulios |
| Maintainer: | Vasileios Karapoulios <billkarap123 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GNU General Public License] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LDNN results |
| Reference manual: | LDNN.pdf |
| Vignettes: |
LDNN package |
| Package source: | LDNN_1.10.tar.gz |
| Windows binaries: | r-devel: LDNN_1.10.zip, r-release: LDNN_1.10.zip, r-oldrel: LDNN_1.10.zip |
| macOS binaries: | r-release (arm64): LDNN_1.10.tgz, r-oldrel (arm64): LDNN_1.10.tgz, r-release (x86_64): LDNN_1.10.tgz, r-oldrel (x86_64): LDNN_1.10.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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