#'Train neural networks based on geographic species occurrences, environmental
#'data and existing IUCN Red List assessments to predict the conservation status
#'of "Not Evaluated" species, for any taxon or geographic region of interest.
#'
#' @name IUCNN-package
#' @aliases IUCNN
#' @aliases IUCNN-package
#' @title Neural Networks to Approximate IUCN Red List Conservation Assessments
#' @author \strong{Alexander Zizka}\cr
#' (email: \email{alexander.zizka@@idiv.de})
#' @author \strong{Tobias Andermann}
#' @author \strong{Daniele Silvestro}
#'
#' @keywords package
#'
#' @details \tabular{ll}{
#' Package: \tab IUCNN\cr
#' Type: \tab Package\cr
#' Version: \tab 3.0\cr
#' License: \tab LGPL-2.1\cr
#' }
#'
#'
#' @import keras
"_PACKAGE"
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