org.deeplearning4j.nn.conf.layers

Class GravesBidirectionalLSTM

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer

org.deeplearning4j.nn.conf.layers.BaseLayer

org.deeplearning4j.nn.conf.layers.FeedForwardLayer

org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer

org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM

All Implemented Interfaces:

Serializable, Cloneable, TrainingConfig

Deprecated.

use Bidirectional instead. With the Bidirectional layer wrapper you can make any recurrent layer bidirectional, in particular GravesLSTM. Note that this layer adds the output of both directions, which translates into "ADD" mode in Bidirectional. Usage: .layer(new Bidirectional(Bidirectional.Mode.ADD, new GravesLSTM.Builder()....build()))

@Deprecated
public class GravesBidirectionalLSTM
extends BaseRecurrentLayer

Bidirectional LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GravesBidirectionalLSTM.Builder Deprecated.

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	helperAllowFallback Deprecated.

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

rnnDataFormat, weightInitFnRecurrent

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

nIn, nOut, timeDistributedFormat

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

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

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

constraints, iDropout, layerName

Method Summary

Modifier and Type	Method and Description
LayerMemoryReport	getMemoryReport(InputType inputType) Deprecated. This is a report of the estimated memory consumption for the given layer
protected void	initializeConstraints(Layer.Builder<?> builder) Deprecated. Initialize the weight constraints.
ParamInitializer	initializer() Deprecated.
Layer	instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType) Deprecated.

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

getOutputType, getPreProcessorForInputType, setNIn

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

isPretrainParam

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

clone, getGradientNormalization, getRegularizationByParam, getUpdaterByParam, resetLayerDefaultConfig

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

setDataType

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig

getGradientNormalizationThreshold, getLayerName

Field Detail

helperAllowFallback

protected boolean helperAllowFallback

Deprecated.

Method Detail

initializeConstraints

protected void initializeConstraints(Layer.Builder<?> builder)

Deprecated.

Description copied from class: Layer

Initialize the weight constraints. Should be called last, in the outer-most constructor

Overrides:

initializeConstraints in class Layer

instantiate

public Layer instantiate(NeuralNetConfiguration conf,
                         Collection<TrainingListener> trainingListeners,
                         int layerIndex,
                         INDArray layerParamsView,
                         boolean initializeParams,
                         DataType networkDataType)

Deprecated.

Specified by:

instantiate in class Layer

initializer

public ParamInitializer initializer()

Deprecated.

Specified by:

initializer in class Layer

Returns:

The parameter initializer for this model

getMemoryReport

public LayerMemoryReport getMemoryReport(InputType inputType)

Deprecated.

Description copied from class: Layer

This is a report of the estimated memory consumption for the given layer

Specified by:

getMemoryReport in class Layer

Parameters:

inputType - Input type to the layer. Memory consumption is often a function of the input type

Returns:

Memory report for the layer