Package org.deeplearning4j.nn.conf.layers

Class GravesBidirectionalLSTM.Builder

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer.Builder<T>

org.deeplearning4j.nn.conf.layers.BaseLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder<T>

org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder<GravesBidirectionalLSTM.Builder>

org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder

Enclosing class:

GravesBidirectionalLSTM

public static class GravesBidirectionalLSTM.Builder
extends BaseRecurrentLayer.Builder<GravesBidirectionalLSTM.Builder>

Field Summary

Fields

Modifier and Type	Field	Description
protected boolean	helperAllowFallback	When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user.

Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder

inputWeightConstraints, recurrentConstraints, rnnDataFormat, weightInitFnRecurrent

Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nOut

Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
GravesBidirectionalLSTM	build()
GravesBidirectionalLSTM.Builder	forgetGateBiasInit(double biasInit)	Set forget gate bias initalizations.
GravesBidirectionalLSTM.Builder	gateActivationFunction(String gateActivationFn)	Activation function for the LSTM gates.
GravesBidirectionalLSTM.Builder	gateActivationFunction(Activation gateActivationFn)	Activation function for the LSTM gates.
GravesBidirectionalLSTM.Builder	gateActivationFunction(IActivation gateActivationFn)	Activation function for the LSTM gates.
GravesBidirectionalLSTM.Builder	helperAllowFallback(boolean allowFallback)	When using a helper (CuDNN or MKLDNN in some cases) and an error is encountered, should fallback to the non-helper implementation be allowed? If set to false, an exception in the helper will be propagated back to the user.

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder

constrainInputWeights, constrainRecurrent, dataFormat, weightInitRecurrent, weightInitRecurrent, weightInitRecurrent

Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder

nIn, nIn, nOut, nOut, units

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder

activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

helperAllowFallback

protected boolean helperAllowFallback

When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user. If false, the built-in (non-CuDNN) implementation for GravesBidirectionalLSTM will be used

Constructor Detail

Builder

public Builder()

Method Detail

forgetGateBiasInit

public GravesBidirectionalLSTM.Builder forgetGateBiasInit(double biasInit)

Set forget gate bias initalizations. Values in range 1-5 can potentially help with learning or longer-term dependencies.

gateActivationFunction

public GravesBidirectionalLSTM.Builder gateActivationFunction(String gateActivationFn)

Activation function for the LSTM gates. Note: This should be bounded to range 0-1: sigmoid or hard sigmoid, for example

Parameters:

gateActivationFn - Activation function for the LSTM gates

gateActivationFunction

public GravesBidirectionalLSTM.Builder gateActivationFunction(Activation gateActivationFn)

Activation function for the LSTM gates. Note: This should be bounded to range 0-1: sigmoid or hard sigmoid, for example

Parameters:

gateActivationFn - Activation function for the LSTM gates

gateActivationFunction

public GravesBidirectionalLSTM.Builder gateActivationFunction(IActivation gateActivationFn)

Activation function for the LSTM gates. Note: This should be bounded to range 0-1: sigmoid or hard sigmoid, for example

Parameters:

gateActivationFn - Activation function for the LSTM gates

helperAllowFallback

public GravesBidirectionalLSTM.Builder helperAllowFallback(boolean allowFallback)

When using a helper (CuDNN or MKLDNN in some cases) and an error is encountered, should fallback to the non-helper implementation be allowed? If set to false, an exception in the helper will be propagated back to the user. If false, the built-in (non-helper) implementation for GravesBidirectionalLSTM will be used

Parameters:

allowFallback - Whether fallback to non-helper implementation should be used

build

public GravesBidirectionalLSTM build()

Specified by:

build in class Layer.Builder<GravesBidirectionalLSTM.Builder>