c(
person(given = c("Jason", "C."),
family = "Fisher", role=c("aut", "cre"),
email = "jfisher@usgs.gov",
comment = c(ORCID="0000-0001-9032-8912")),
person(given = c("Kerri", "C."),
family = "Treinen", role="aut",
email = "ktreinen@usgs.gov",
comment = c(ORCID="0000-0003-0645-6810")),
person(given = c("Allison", "R."),
family = "Trcka", role="aut",
email = "atrcka@usgs.gov",
comment = c(ORCID="0000-0001-8498-4737"))
)
connectapi, covr, DT, graphics, grid, htmltools, htmlwidgets,
kableExtra, knitr, pkgdown, png, rmarkdown, rsconnect, RWeka,
stringi, textutils, tinytest, tools, usethis, utils, webshot2,
wordcloud2
Package vignettes require pandoc
(https://pandoc.org/). Text mining using n-grams requires
Amazon Corretto (https://aws.amazon.com/corretto/).

c(person(given = "Niklas",
family = "Koenen",
role = c("aut", "cre"),
email = "niklas.koenen@gmail.com",
comment = c(ORCID = "0000-0002-4623-8271")),
person(given = "Raphael",
family = "Baudeu",
role = "ctb",
email = "raphael.baudeu@gmail.com"))
Interpretability methods to analyze the behavior and
individual predictions of modern neural networks. Implemented methods
are: 'Connection Weights' described by Olden et al. (2004)
<doi:10.1016/j.ecolmodel.2004.03.013>, Layer-wise Relevance
Propagation ('LRP') described by Bach et al. (2015)
<doi:10.1371/journal.pone.0130140>, Deep Learning Important Features
('DeepLIFT') described by Shrikumar et al.  (2017) <arXiv:1704.02685>
and gradient-based methods like 'SmoothGrad' described by Smilkov et
al. (2017) <arXiv:1706.03825>, 'Gradient x Input' described by
Baehrens et al. (2009) <arXiv:0912.1128> or 'Vanilla Gradient'.
keras, knitr, neuralnet, plotly, rmarkdown, tensorflow,
testthat (>= 3.0.0)
'ConnectionWeights.R' 'Convert_keras.R' 'Convert_neuralnet.R'
'Convert_torch.R' 'Converter.R' 'DeepLift.R' 'GradienBased.R'
'InterpretingLayer.R' 'InterpretingMethod.R' 'LRP.R'
'Layer_conv1d.R' 'Layer_conv2d.R' 'Layer_dense.R'
'Layer_other.R' 'Layer_pooling.R' 'innsight.R' 'utils.R'
Niklas Koenen [aut, cre] (<https://orcid.org/0000-0002-4623-8271>),
Raphael Baudeu [ctb]