Nothing
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 stateoftheart 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.
Package details 


Author  Zhi Ruan [aut, cre], Martin Drees [cph] 
Date of publication  20160411 18:09:06 
Maintainer  Zhi Ruan <ryan.zhiruan@gmail.com> 
License  GPL (>= 2) 
Version  0.1.0 
URL  https://github.com/rz1988/deeplearning 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.