Package org.deeplearning4j.nn.conf.ocnn
Class OCNNOutputLayer
- java.lang.Object
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- org.deeplearning4j.nn.conf.layers.Layer
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- org.deeplearning4j.nn.conf.layers.BaseLayer
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- org.deeplearning4j.nn.conf.layers.FeedForwardLayer
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- org.deeplearning4j.nn.conf.layers.BaseOutputLayer
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- org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
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- All Implemented Interfaces:
Serializable
,Cloneable
,TrainingConfig
public class OCNNOutputLayer extends BaseOutputLayer
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
OCNNOutputLayer.Builder
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Field Summary
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Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
hasBias, lossFn
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Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
nIn, nOut, timeDistributedFormat
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Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iUpdater, regularization, regularizationBias, weightInitFn, weightNoise
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Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
constraints, iDropout, layerName
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Constructor Summary
Constructors Constructor Description OCNNOutputLayer(int hiddenSize, double nu, IActivation activation, int windowSize, double initialRValue, boolean configureR)
OCNNOutputLayer(OCNNOutputLayer.Builder builder)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ILossFunction
getLossFn()
long
getNOut()
List<Regularization>
getRegularizationByParam(String paramName)
Get the regularization types (l1/l2/weight decay) for the given parameter.ParamInitializer
initializer()
Layer
instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
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Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
getMemoryReport, hasBias
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Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
getOutputType, getPreProcessorForInputType, isPretrainParam, setNIn
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Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
clone, getGradientNormalization, getUpdaterByParam, resetLayerDefaultConfig
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Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
initializeConstraints, setDataType
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig
getGradientNormalizationThreshold, getLayerName
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Constructor Detail
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OCNNOutputLayer
public OCNNOutputLayer(OCNNOutputLayer.Builder builder)
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OCNNOutputLayer
public OCNNOutputLayer(int hiddenSize, double nu, IActivation activation, int windowSize, double initialRValue, boolean configureR)
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Method Detail
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getLossFn
public ILossFunction getLossFn()
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instantiate
public Layer instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
- Specified by:
instantiate
in classLayer
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getNOut
public long getNOut()
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initializer
public ParamInitializer initializer()
- Specified by:
initializer
in classLayer
- Returns:
- The parameter initializer for this model
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getRegularizationByParam
public List<Regularization> getRegularizationByParam(String paramName)
Description copied from class:Layer
Get the regularization types (l1/l2/weight decay) for the given parameter. Different parameters may have different regularization types.- Specified by:
getRegularizationByParam
in interfaceTrainingConfig
- Overrides:
getRegularizationByParam
in classBaseLayer
- Parameters:
paramName
- Parameter name ("W", "b" etc)- Returns:
- Regularization types (if any) for the specified parameter
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