C# Class NNX.Core.Training.UntilDoneGradientTrainer

An on-line gradient descent trainer that radnomly splits the input trainingSet into a training and validation subsets. The trainier will keep selecting a random input/target pair from the training set and applying backpropagation until cross-entropy error on the validation set does not improve after MaxEpochsWithoutImprovement. The trainer will terminate after NumEpochs even if MaxEpochsWithoutImprovement condition has not been reached.

Inheritance: SimpleGradientTrainer

ファイルを表示 Open project: ikhramts/NNX Class Usage Examples

Public Methods

Method	Description
GetValidationSetFraction ( ) : double
Train ( IList trainingSet, IList validationSet, IRandomGenerator rand, INeuralNetwork nn ) : void
Validate ( ) : void

Method Details

GetValidationSetFraction() public method

public GetValidationSetFraction ( ) : double
return	double

Train() public method

public Train ( IList trainingSet, IList validationSet, IRandomGenerator rand, INeuralNetwork nn ) : void
trainingSet	IList
validationSet	IList
rand	IRandomGenerator
nn	INeuralNetwork
return	void

Validate() public method

public Validate ( ) : void
return	void