Authors@R: c(person("Benjamin", "Taylor", , "b.taylor1@lancaster.ac.uk", role = c("aut","cre")))
Description: Implementation of some Deep Learning methods. Includes multilayer perceptron, different activation functions, regularisation strategies, stochastic gradient descent and dropout. Thanks go to the following references for helping to inspire and develop the package: Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach (2016, ISBN:978-0262035613) Deep Learning. Terrence J. Sejnowski (2018, ISBN:978-0262038034) The Deep Learning Revolution. Grant Sanderson (3brown1blue) <https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi> Neural Networks YouTube playlist. Michael A. Nielsen <http://neuralnetworksanddeeplearning.com/> Neural Networks and Deep Learning.
Imports: stats, graphics, utils, Matrix, methods

Authors@R: c(person("Benjamin", "Taylor", , "benjamin.taylor.software@gmail.com", role = c("aut","cre")))

Author: Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
person("Daniel", "Marcous", email = "dmarcous@gmail.com", role = c("aut","cre")),
person("Yotam", "Sandbank", email = "yotamsandbank@gmail.com", role = "aut"),
Description: Provides deep boosting models training, evaluation, predicting and
hyper parameter optimising using grid search and cross validation.
Based on Google's Deep Boosting algorithm, and Google's C++ implementation.
Cortes, C., Mohri, M., & Syed, U. (2014) <URL:

Cortes, C., Mohri, M., & Syed, U. (2014) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.

Title: Visualise and Explore the Deep Dependencies of R Packages
Authors@R: c(person("Dominik", "Rafacz", email = "dominikrafacz@gmail.com",
person("Hubert", "Baniecki", role = c("aut")),
person("Szymon", "Maksymiuk", role = c("aut")),
person("Mateusz", "Bakala", role = c("aut")))
Description: Provides the tools for exploration of package dependencies.
Main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way.
It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package.
Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>.
Other data acquire functions are: get_dependencies(), get_downloads() and get_description().
The deepdep_shiny() function runs shiny application that helps to produce nice 'deepdep' plot.
Imports: cranlogs, ggforce, ggplot2, ggraph, graphlayouts, httr,
Suggests: BiocManager, shiny, shinycssloaders, covr, devtools, knitr,
miniCRAN, plyr, rmarkdown, spelling, stringi, testthat (>=