DESCRIPTION

Package: deeplearning
Type: Package
Title: An Implementation of Deep Neural Network for Regression and Classification
Description: An implementation of deep neural network with rectifier linear units trained
	with stochastic gradient descent method and batch normalization. A combination of these methods have
	achieved state-of-the-art performance in ImageNet classification by overcoming the gradient saturation
	problem experienced by many deep architecture neural network models in the past. In addition,
	batch normalization and dropout are implemented as a means of regularization. The deeplearning package is
	inspired by the darch package and uses its class DArch.
Version: 0.1.0
Date: 2016-04-10
Authors@R: c(
    person(given = "Zhi", family = "Ruan", email = "ryan.zhiruan@gmail.com", role = c("aut", "cre")),
    person("Martin", "Drees", email = "mdrees@stud.fh-dortmund.de", role = c("cph"))
    )
LazyData: TRUE
URL: https://github.com/rz1988/deeplearning
BugReports: https://github.com/rz1988/deeplearning/issues
Depends:
	  R (>= 3.2.4),
    methods,
    darch (>= 0.10.0),
Imports:
    plotly,
    futile.logger,
    graphics,
    stats
License: GPL (>= 2)
RoxygenNote: 5.0.1