ganDataModel (version 2.0.1)

dmTrain: Train a neural network which approximates density values for a data source

Description

Read a data source and generative data from files, train a neural network which approximates density values for a data source in iterative training steps, create a data model containing the trained neural network and write it to a file in binary format.

Usage

dmTrain(
  dataModelFileName,
  dataSourceFileName,
  generativeDataFileName,
  numberOfIterations,
  numberOfHiddenLayerUnits = 512
)

Value

None

Arguments

dataModelFileName

Name of data model file

dataSourceFileName

Name of data source file

generativeDataFileName

Name of generative data file

numberOfIterations

Number of iterations.

numberOfHiddenLayerUnits

Number of hidden layer units

Examples

if (FALSE) {
dmTrain("dm.bin", "ds.bin", "gd.bin", 10000)}