DESCRIPTION

Package: darch
Type: Package
Title: Package for Deep Architectures and Restricted Boltzmann Machines
Version: 0.13.0
Date: 2018-05-03
Author: Martin Drees [aut, cre, cph],
    Johannes Rueckert [ctb],
    Christoph M. Friedrich [ctb],
    Geoffrey Hinton [cph],
    Ruslan Salakhutdinov [cph],
    Carl Edward Rasmussen [cph],
Maintainer: Johannes Rueckert <j.rueckert@gmx.net>
Description: The darch package is built on the basis of the code from G. E.
    Hinton and R. R. Salakhutdinov (available under Matlab Code for deep belief
    nets). This package is for generating neural networks with many layers (deep
    architectures) and train them with the method introduced by the publications
    "A fast learning algorithm for deep belief nets" (G. E. Hinton, S. Osindero,
    Y. W. Teh (2006) <DOI:10.1162/neco.2006.18.7.1527>) and "Reducing the
    dimensionality of data with neural networks" (G. E. Hinton, R. R.
    Salakhutdinov (2006) <DOI:10.1126/science.1127647>). This method includes a
    pre training with the contrastive divergence method published by G.E Hinton
    (2002) <DOI:10.1162/089976602760128018> and a fine tuning with common known
    training algorithms like backpropagation or conjugate gradients.
    Additionally, supervised fine-tuning can be enhanced with maxout and
    dropout, two recently developed techniques to improve fine-tuning for deep
    learning.
License: GPL (>= 2) | file LICENSE
URL: https://github.com/maddin79/darch
BugReports: https://github.com/maddin79/darch/issues
Depends:
    R (>= 3.0.0)
Imports:
    stats,
    methods,
    ggplot2,
    reshape2,
    futile.logger (>= 1.4.1),
    caret,
    Rcpp (>= 0.12.3),
    RcppParallel (>= 4.3.20)
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
Suggests:
    foreach,
    doRNG,
    NeuralNetTools,
    gputools,
    testthat,
    plyr (>= 1.8.3.9000)
Collate:
    'RcppExports.R'
    'autosave.R'
    'net.Class.R'
    'darch.Class.R'
    'backpropagation.R'
    'benchmark.R'
    'bootstrap.R'
    'caret.R'
    'compat.R'
    'config.R'
    'darch.Add.R'
    'darch.Getter.R'
    'dataset.R'
    'darch.Learn.R'
    'darch.R'
    'darch.Setter.R'
    'darchUnitFunctions.R'
    'dropout.R'
    'errorFunctions.R'
    'rbm.Class.R'
    'generateRBMs.R'
    'generateWeightsFunctions.R'
    'loadDArch.R'
    'log.R'
    'makeStartEndPoints.R'
    'minimize.R'
    'minimizeAutoencoder.R'
    'minimizeClassifier.R'
    'mnist.R'
    'momentum.R'
    'net.Getter.R'
    'newDArch.R'
    'params.R'
    'plot.R'
    'predict.R'
    'print.R'
    'rbm.Learn.R'
    'rbm.Reset.R'
    'rbmUnitFunctions.R'
    'rbmUpdate.R'
    'rpropagation.R'
    'runDArch.R'
    'saveDArch.R'
    'test.R'
    'util.R'
    'weightUpdateFunctions.R'
RoxygenNote: 5.0.1