public class GravesLSTM extends BaseRecurrentLayer
Modifier and Type | Class and Description |
---|---|
static class |
GravesLSTM.Builder |
nIn, nOut
activationFn, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, layerName, learningRate, learningRateSchedule, momentum, momentumSchedule, rho, rmsDecay, updater, weightInit
Modifier and Type | Method and Description |
---|---|
double |
getL1ByParam(java.lang.String paramName)
Get the L1 coefficient for the given parameter.
|
double |
getL2ByParam(java.lang.String paramName)
Get the L2 coefficient for the given parameter.
|
double |
getLearningRateByParam(java.lang.String paramName)
Get the (initial) learning rate coefficient for the given parameter.
|
ParamInitializer |
initializer() |
Layer |
instantiate(NeuralNetConfiguration conf,
java.util.Collection<IterationListener> iterationListeners,
int layerIndex,
org.nd4j.linalg.api.ndarray.INDArray layerParamsView,
boolean initializeParams) |
getOutputType, getPreProcessorForInputType, setNIn
clone, getUpdaterByParam, resetLayerDefaultConfig
public Layer instantiate(NeuralNetConfiguration conf, java.util.Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
instantiate
in class Layer
public ParamInitializer initializer()
initializer
in class Layer
public double getL1ByParam(java.lang.String paramName)
Layer
getL1ByParam
in class FeedForwardLayer
paramName
- Parameter namepublic double getL2ByParam(java.lang.String paramName)
Layer
getL2ByParam
in class FeedForwardLayer
paramName
- Parameter namepublic double getLearningRateByParam(java.lang.String paramName)
Layer
getLearningRateByParam
in class FeedForwardLayer
paramName
- Parameter name