snap: Simple Neural Application

A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).

Version: 1.0.0
Depends: R (≥ 3.6)
Imports: keras, tensorflow, dplyr, purrr, forcats, tictoc, readr, ggplot2, CORElearn, dbscan, stringr, reticulate
Published: 2021-05-11
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: snap results


Reference manual: snap.pdf
Package source: snap_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): snap_1.0.0.tgz, r-release (x86_64): snap_1.0.0.tgz, r-oldrel: snap_1.0.0.tgz


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