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| Uses of OpenCLTrainingProfile in org.encog.engine.network.train.prop |
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| Constructors in org.encog.engine.network.train.prop with parameters of type OpenCLTrainingProfile | |
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TrainFlatNetworkOpenCL(FlatNetwork network,
EngineDataSet training,
OpenCLTrainingProfile profile)
Train a flat network multithreaded. |
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| Uses of OpenCLTrainingProfile in org.encog.engine.opencl.kernels |
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| Methods in org.encog.engine.opencl.kernels with parameters of type OpenCLTrainingProfile | |
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void |
KernelNetworkTrain.compile(Map<String,String> options,
OpenCLTrainingProfile profile,
FlatNetwork network)
Compile the kernel. |
void |
KernelNetworkTrain.init(OpenCLTrainingProfile profile)
Setup the kernel. |
| Uses of OpenCLTrainingProfile in org.encog.neural.networks.training.concurrent.jobs |
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| Methods in org.encog.neural.networks.training.concurrent.jobs with parameters of type OpenCLTrainingProfile | |
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abstract void |
TrainingJob.createTrainer(OpenCLTrainingProfile profile,
boolean singleThreaded)
Create a trainer to use. |
void |
RPROPJob.createTrainer(OpenCLTrainingProfile profile,
boolean singleThreaded)
Create a trainer to use. |
void |
BPROPJob.createTrainer(OpenCLTrainingProfile profile,
boolean singleThreaded)
Create a trainer to use. |
| Uses of OpenCLTrainingProfile in org.encog.neural.networks.training.propagation |
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| Methods in org.encog.neural.networks.training.propagation that return OpenCLTrainingProfile | |
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OpenCLTrainingProfile |
Propagation.getProfile()
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| Uses of OpenCLTrainingProfile in org.encog.neural.networks.training.propagation.back |
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| Constructors in org.encog.neural.networks.training.propagation.back with parameters of type OpenCLTrainingProfile | |
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Backpropagation(BasicNetwork network,
NeuralDataSet training,
OpenCLTrainingProfile profile,
double learnRate,
double momentum)
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| Uses of OpenCLTrainingProfile in org.encog.neural.networks.training.propagation.manhattan |
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| Constructors in org.encog.neural.networks.training.propagation.manhattan with parameters of type OpenCLTrainingProfile | |
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ManhattanPropagation(BasicNetwork network,
NeuralDataSet training,
OpenCLTrainingProfile profile,
double learnRate)
Construct a Manhattan propagation training object. |
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| Uses of OpenCLTrainingProfile in org.encog.neural.networks.training.propagation.resilient |
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| Constructors in org.encog.neural.networks.training.propagation.resilient with parameters of type OpenCLTrainingProfile | |
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ResilientPropagation(BasicNetwork network,
NeuralDataSet training,
OpenCLTrainingProfile profile)
Construct an RPROP trainer, allows an OpenCL device to be specified. |
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ResilientPropagation(BasicNetwork network,
NeuralDataSet training,
OpenCLTrainingProfile profile,
double initialUpdate,
double maxStep)
Construct a resilient training object, allow the training parameters to be specified. |
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| Uses of OpenCLTrainingProfile in org.encog.util.benchmark |
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| Methods in org.encog.util.benchmark with parameters of type OpenCLTrainingProfile | |
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static int |
Evaluate.evaluateTrain(OpenCLTrainingProfile profile,
BasicNetwork network,
NeuralDataSet training)
Evaluate how long it takes to calculate the error for the network. |
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