ganGenerativeData (version 2.1.6)

gdTrainParameters: Specify parameters for training of generative model

Description

Specify parameters for training of neural networks used for generation of generative data. These parameters are passed to function gdTrain().

Usage

gdTrainParameters(
  numberOfTrainingIterations = 10000,
  numberOfInitializationIterations = 1500,
  numberOfHiddenLayerUnits = 1024,
  learningRate = 7e-05,
  dropout = 0.1
)

Value

List of parameters for training of generative model

Arguments

numberOfTrainingIterations

Number of training iterations

numberOfInitializationIterations

Number of initialization iterations

numberOfHiddenLayerUnits

Number of hidden layer units

learningRate

Learning rate for training of neural networks

dropout

Value in the range of 0 to 1. Specifies the rate of hidden units that are dropped. Dropout is a regularization method to prevent overfitting.

Examples

if (FALSE) {
generateParameters <- gdGenerateParameters(numberOfTrainingIterations = 10000)}