org.deeplearning4j.nn.conf.layers

Class EmbeddingSequenceLayer.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<EmbeddingSequenceLayer.Builder>

org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder

Enclosing class:

EmbeddingSequenceLayer

public static class EmbeddingSequenceLayer.Builder
extends FeedForwardLayer.Builder<EmbeddingSequenceLayer.Builder>

Field Summary

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, dist, gradientNormalization, gradientNormalizationThreshold, iupdater, l1, l1Bias, l2, l2Bias, weightInit, weightNoise

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

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
EmbeddingSequenceLayer	build()
EmbeddingSequenceLayer.Builder	hasBias(boolean hasBias) If true: include bias parameters in the layer.
EmbeddingSequenceLayer.Builder	inferInputLength(boolean inferInputLength) Set input sequence inference mode for embedding layer.
EmbeddingSequenceLayer.Builder	inputLength(int inputLength) Set input sequence length for this embedding layer.

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, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, updater, updater, 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

Constructor Detail

Builder

public Builder()

Method Detail

hasBias

public EmbeddingSequenceLayer.Builder hasBias(boolean hasBias)

If true: include bias parameters in the layer. False (default): no bias.

Parameters:

hasBias - If true: include bias parameters in this layer

inputLength

public EmbeddingSequenceLayer.Builder inputLength(int inputLength)

Set input sequence length for this embedding layer.

Parameters:

inputLength - input sequence length

Returns:

Builder

inferInputLength

public EmbeddingSequenceLayer.Builder inferInputLength(boolean inferInputLength)

Set input sequence inference mode for embedding layer.

Parameters:

inferInputLength - whether to infer input length

Returns:

Builder

build

public EmbeddingSequenceLayer build()

Specified by:

build in class Layer.Builder<EmbeddingSequenceLayer.Builder>