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 


Maintainer  
License  GPL (>= 2) 
Version  0.1.0 
URL  https://github.com/rz1988/deeplearning 
Package repository  View on GitHub 
Installation 
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