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| Uses of FlatNetwork in org.encog.engine.concurrency.calc |
|---|
| Methods in org.encog.engine.concurrency.calc that return FlatNetwork | |
|---|---|
FlatNetwork |
ConcurrentCalculate.getNetwork()
|
| Methods in org.encog.engine.concurrency.calc with parameters of type FlatNetwork | |
|---|---|
void |
ConcurrentCalculate.setNetwork(FlatNetwork network)
Set the current network. |
void |
CalcOpenCLDevice.setNetwork(FlatNetwork network)
Set the network that we will be using. |
| Uses of FlatNetwork in org.encog.engine.network.flat |
|---|
| Subclasses of FlatNetwork in org.encog.engine.network.flat | |
|---|---|
class |
FlatNetworkRBF
A flat network designed to handle an RBF. |
| Methods in org.encog.engine.network.flat that return FlatNetwork | |
|---|---|
FlatNetwork |
FlatNetwork.clone()
Clone the network. |
| Methods in org.encog.engine.network.flat with parameters of type FlatNetwork | |
|---|---|
void |
FlatNetwork.cloneFlatNetwork(FlatNetwork result)
|
| Uses of FlatNetwork in org.encog.engine.network.train |
|---|
| Methods in org.encog.engine.network.train that return FlatNetwork | |
|---|---|
FlatNetwork |
TrainFlatNetwork.getNetwork()
|
| Uses of FlatNetwork in org.encog.engine.network.train.gradient |
|---|
| Methods in org.encog.engine.network.train.gradient that return FlatNetwork | |
|---|---|
FlatNetwork |
GradientWorkerCPU.getNetwork()
|
FlatNetwork |
FlatGradientWorker.getNetwork()
|
| Constructors in org.encog.engine.network.train.gradient with parameters of type FlatNetwork | |
|---|---|
GradientWorkerCPU(FlatNetwork network,
TrainFlatNetworkProp owner,
EngineIndexableSet training,
int low,
int high)
Construct a gradient worker. |
|
| Uses of FlatNetwork in org.encog.engine.network.train.prop |
|---|
| Fields in org.encog.engine.network.train.prop declared as FlatNetwork | |
|---|---|
protected FlatNetwork |
TrainFlatNetworkProp.network
The network to train. |
| Methods in org.encog.engine.network.train.prop that return FlatNetwork | |
|---|---|
FlatNetwork |
TrainFlatNetworkProp.getNetwork()
|
FlatNetwork |
TrainFlatNetworkOpenCL.getNetwork()
|
| Constructors in org.encog.engine.network.train.prop with parameters of type FlatNetwork | |
|---|---|
TrainFlatNetworkBackPropagation(FlatNetwork network,
EngineDataSet training,
double learningRate,
double momentum)
Construct a backprop trainer for flat networks. |
|
TrainFlatNetworkManhattan(FlatNetwork network,
EngineDataSet training,
double learningRate)
Construct a trainer for flat networks to use the Manhattan update rule. |
|
TrainFlatNetworkOpenCL(FlatNetwork network,
EngineDataSet training,
OpenCLTrainingProfile profile)
Train a flat network multithreaded. |
|
TrainFlatNetworkProp(FlatNetwork network,
EngineDataSet training)
Train a flat network multithreaded. |
|
TrainFlatNetworkResilient(FlatNetwork flat,
EngineDataSet trainingSet)
Tran a network using RPROP. |
|
TrainFlatNetworkResilient(FlatNetwork network,
EngineDataSet training,
double zeroTolerance,
double initialUpdate,
double maxStep)
Construct a resilient trainer for flat networks. |
|
TrainFlatNetworkSCG(FlatNetwork network,
EngineDataSet training)
Construct the training object. |
|
| Uses of FlatNetwork in org.encog.engine.opencl.kernels |
|---|
| Methods in org.encog.engine.opencl.kernels that return FlatNetwork | |
|---|---|
FlatNetwork |
KernelNetworkCalc.getFlat()
|
| Methods in org.encog.engine.opencl.kernels with parameters of type FlatNetwork | |
|---|---|
void |
KernelNetworkCalc.compile(FlatNetwork network)
Compile the kernel. |
void |
KernelNetworkTrain.compile(Map<String,String> options,
OpenCLTrainingProfile profile,
FlatNetwork network)
Compile the kernel. |
void |
KernelNetworkCalc.setFlat(FlatNetwork flat)
|
| Constructors in org.encog.engine.opencl.kernels with parameters of type FlatNetwork | |
|---|---|
KernelNetworkTrain(EncogCLDevice device,
FlatNetwork flat,
EngineIndexableSet training,
int tempDataSize)
Construct a kernel to train the network. |
|
| Uses of FlatNetwork in org.encog.neural.networks.structure |
|---|
| Methods in org.encog.neural.networks.structure that return FlatNetwork | |
|---|---|
FlatNetwork |
NeuralStructure.getFlat()
|
| Uses of FlatNetwork in org.encog.neural.networks.training.cross |
|---|
| Methods in org.encog.neural.networks.training.cross with parameters of type FlatNetwork | |
|---|---|
void |
NetworkFold.copyFromNetwork(FlatNetwork source)
Copy the weights and output from the network. |
void |
NetworkFold.copyToNetwork(FlatNetwork target)
Copy weights and output to the network. |
| Constructors in org.encog.neural.networks.training.cross with parameters of type FlatNetwork | |
|---|---|
NetworkFold(FlatNetwork flat)
Construct a fold from the specified flat network. |
|
| Uses of FlatNetwork in org.encog.neural.networks.training.propagation |
|---|
| Methods in org.encog.neural.networks.training.propagation that return FlatNetwork | |
|---|---|
FlatNetwork |
Propagation.getCurrentFlatNetwork()
|
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