public static class EmbeddingSequenceLayer.Builder extends FeedForwardLayer.Builder<EmbeddingSequenceLayer.Builder>
nIn, nOutactivationFn, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, iupdater, l1, l1Bias, l2, l2Bias, weightInit, weightNoiseallParamConstraints, biasConstraints, iDropout, layerName, weightConstraints| Constructor and Description |
|---|
Builder() |
| 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.
|
nIn, nOut, unitsactivation, activation, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, updater, updater, weightInit, weightInit, weightNoiseconstrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, namepublic EmbeddingSequenceLayer.Builder hasBias(boolean hasBias)
hasBias - If true: include bias parameters in this layerpublic EmbeddingSequenceLayer.Builder inputLength(int inputLength)
inputLength - input sequence lengthpublic EmbeddingSequenceLayer.Builder inferInputLength(boolean inferInputLength)
inferInputLength - whether to infer input lengthpublic EmbeddingSequenceLayer build()
build in class Layer.Builder<EmbeddingSequenceLayer.Builder>Copyright © 2018. All rights reserved.