public class OCNNOutputLayer extends BaseOutputLayer
Modifier and Type | Class and Description |
---|---|
static class |
OCNNOutputLayer.Builder |
hasBias, lossFn
nIn, nOut
activationFn, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, iUpdater, l1, l1Bias, l2, l2Bias, weightInit, weightNoise
constraints, iDropout, layerName
Constructor and Description |
---|
OCNNOutputLayer(int hiddenSize,
double nu,
org.nd4j.linalg.activations.IActivation activation) |
OCNNOutputLayer(OCNNOutputLayer.Builder builder) |
Modifier and Type | Method and Description |
---|---|
double |
getL1ByParam(String paramName)
Get the L1 coefficient for the given parameter.
|
double |
getL2ByParam(String paramName)
Get the L2 coefficient for the given parameter.
|
org.nd4j.linalg.lossfunctions.ILossFunction |
getLossFn() |
int |
getNOut() |
ParamInitializer |
initializer() |
Layer |
instantiate(NeuralNetConfiguration conf,
Collection<TrainingListener> trainingListeners,
int layerIndex,
org.nd4j.linalg.api.ndarray.INDArray layerParamsView,
boolean initializeParams) |
getMemoryReport, hasBias
getOutputType, getPreProcessorForInputType, isPretrainParam, setNIn
clone, getUpdaterByParam, resetLayerDefaultConfig
initializeConstraints
public OCNNOutputLayer(OCNNOutputLayer.Builder builder)
public OCNNOutputLayer(int hiddenSize, double nu, org.nd4j.linalg.activations.IActivation activation)
public org.nd4j.linalg.lossfunctions.ILossFunction getLossFn()
public Layer instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
instantiate
in class Layer
public int getNOut()
public ParamInitializer initializer()
initializer
in class Layer
public double getL1ByParam(String paramName)
Layer
getL1ByParam
in class FeedForwardLayer
paramName
- Parameter namepublic double getL2ByParam(String paramName)
Layer
getL2ByParam
in class FeedForwardLayer
paramName
- Parameter nameCopyright © 2018. All rights reserved.