runDArchDropout: Forward-propagate data through the network with dropout...
In darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description Usage Arguments Value See Also

If dropout was disabled, runDArch will be called instead.

runDArchDropout(darch, data, inputLayer = 1,
  outputLayer = length(darch@layers), matMult = getParameter(".matMult"),
  dropout = getParameter(".darch.dropout"),
  iterations = getParameter(".darch.dropout.momentMatching"))

`darch`	A instance of the class `DArch`.
`data`	The input data to execute the darch on.
`inputLayer`	Into which layer the given data is to be fed. Absolute number starting at 1 for the input layer.
`outputLayer`	The output of which layer is to be returned, absolute number starting a 0 for the input layer (i.e. pre-processed data is returned).
`matMult`	Function to use for matrix multiplication.
`dropout`	Dropout rates for the layers.
`iterations`	If greater than 0, the numbr of iterations to use for moment matching dropout inference.