public class OutputLayer extends BaseOutputLayer
Modifier and Type | Class and Description |
---|---|
static class |
OutputLayer.Builder |
hasBias, lossFn
nIn, nOut
activationFn, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, iUpdater, l1, l1Bias, l2, l2Bias, weightInit, weightNoise
constraints, iDropout, layerName
Modifier | Constructor and Description |
---|---|
protected |
OutputLayer(OutputLayer.Builder builder) |
Modifier and Type | Method and Description |
---|---|
ParamInitializer |
initializer() |
Layer |
instantiate(NeuralNetConfiguration conf,
Collection<TrainingListener> trainingListeners,
int layerIndex,
INDArray layerParamsView,
boolean initializeParams) |
getMemoryReport, hasBias
getL1ByParam, getL2ByParam, getOutputType, getPreProcessorForInputType, isPretrain, isPretrainParam, setNIn
clone, getGradientNormalization, getUpdaterByParam, resetLayerDefaultConfig
initializeConstraints, setPretrain
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getGradientNormalizationThreshold, getLayerName
protected OutputLayer(OutputLayer.Builder builder)
public Layer instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams)
instantiate
in class Layer
public ParamInitializer initializer()
initializer
in class Layer
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