C# Class Encog.Neural.Networks.Training.Concurrent.Jobs.RPROPJob

A training definition for RPROP training.

Inheritance: TrainingJob

Private Properties

Property	Type	Description

Method	Description
CreateTrainer ( OpenCLTrainingProfile profile, bool singleThreaded ) : void
RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory ) : System	Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.
RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory, double initialUpdate, double maxStep, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer ) : System	Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.
RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer ) : System	Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.

public CreateTrainer ( OpenCLTrainingProfile profile, bool singleThreaded ) : void
profile	Encog.Engine.Network.Train.Prop.OpenCLTrainingProfile
singleThreaded	bool
return	void

Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.

public RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory ) : System
network	BasicNetwork	The network to train.
training	INeuralDataSet	The training data to use.
loadToMemory	bool	True if binary training data should be loaded to memory.
return	System

Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.

public RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory, double initialUpdate, double maxStep, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer ) : System
network	BasicNetwork	The network to train.
training	INeuralDataSet	The training data to use.
loadToMemory	bool	True if binary training data should be loaded to memory.
initialUpdate	double	The initial update.
maxStep	double	The max step.
localRatio	double	The local ratio, used if this job is performed by an OpenCL Device.
globalRatio	int	The global ratio, used if this job is performed by an OpenCL Device.
segmentationRatio	double	The segmentation ratio, used if this job is performed by an OpenCL Device.
iterationsPer	int	How many iterations to process per cycle.
return	System

Construct an RPROP job. For more information on RPROP see the ResilientPropagation class.

public RPROPJob ( BasicNetwork network, INeuralDataSet training, bool loadToMemory, double localRatio, int globalRatio, double segmentationRatio, int iterationsPer ) : System
network	BasicNetwork	The network to train.
training	INeuralDataSet	The training data to use.
loadToMemory	bool	True if binary training data should be loaded to memory.
localRatio	double	The local ratio, used if this job is performed by an OpenCL Device.
globalRatio	int	The global ratio, used if this job is performed by an OpenCL Device.
segmentationRatio	double	The segmentation ratio, used if this job is performed by an OpenCL Device.
iterationsPer	int	How many iterations to process per cycle.
return	System