C# Class Encog.Engine.Network.Train.Prop.TrainFlatNetworkOpenCL

Train a flat network using OpenCL.

Inheritance: ITrainFlatNetwork

Public Methods

Method	Description
FinishTraining ( ) : void
Iteration ( ) : void	Perform a single iteration.
Iteration ( int iterations ) : void
LearnBPROP ( double learningRate, double momentum ) : void	Learn using backpropagation.
LearnManhattan ( double learningRate ) : void	Learn using the Manhattan update rule.
LearnRPROP ( ) : void	Learn using RPROP. Use default max step and initial update.
LearnRPROP ( double initialUpdate, double maxStep ) : void	Learn using RPROP with a custom initial update and max step.
TrainFlatNetworkOpenCL ( FlatNetwork network, IEngineDataSet training, OpenCLTrainingProfile profile ) : Encog.Engine	Train a flat network multithreaded.

Method	Description
CallKernel ( int start, int size, bool learn, int iterations ) : void	Call the kernel.
GetOptions ( String learningType ) : String>.IDictionary	Get the learning properties.

public FinishTraining ( ) : void
return	void

Perform a single iteration.

public Iteration ( ) : void
return	void

public Iteration ( int iterations ) : void
iterations	int
return	void

Learn using backpropagation.

public LearnBPROP ( double learningRate, double momentum ) : void
learningRate	double	The learning rate.
momentum	double	The momentum.
return	void

Learn using the Manhattan update rule.

public LearnManhattan ( double learningRate ) : void
learningRate	double	The learning rate.
return	void

Learn using RPROP. Use default max step and initial update.

public LearnRPROP ( ) : void
return	void

Learn using RPROP with a custom initial update and max step.

public LearnRPROP ( double initialUpdate, double maxStep ) : void
initialUpdate	double	The initial update value.
maxStep	double	The max step.
return	void

Train a flat network multithreaded.

public TrainFlatNetworkOpenCL ( FlatNetwork network, IEngineDataSet training, OpenCLTrainingProfile profile ) : Encog.Engine
network	Encog.Engine.Network.Flat.FlatNetwork	The network to train.
training	IEngineDataSet	The training data to use.
profile	OpenCLTrainingProfile	The OpenCL training profile.
return	Encog.Engine