public static class RepeatVector.Builder<T extends RepeatVector.Builder<T>> extends FeedForwardLayer.Builder<T>
nIn, nOut
activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise
allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints
Constructor and Description |
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Builder(int n) |
Modifier and Type | Method and Description |
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RepeatVector |
build() |
RepeatVector.Builder |
dataFormat(RNNFormat dataFormat) |
RNNFormat |
getDataFormat() |
int |
getRepetitionFactor()
Set repetition factor for RepeatVector layer
|
RepeatVector.Builder |
repetitionFactor(int n)
Set repetition factor for RepeatVector layer
|
void |
setRepetitionFactor(int n)
Set repetition factor for RepeatVector layer
|
nIn, nIn, nOut, nOut, units
activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise
constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name
public int getRepetitionFactor()
public RNNFormat getDataFormat()
public RepeatVector.Builder dataFormat(RNNFormat dataFormat)
public void setRepetitionFactor(int n)
n
- upsampling size in height and width dimensionspublic RepeatVector.Builder repetitionFactor(int n)
n
- upsampling size in height and width dimensionspublic RepeatVector build()
build
in class Layer.Builder<T extends RepeatVector.Builder<T>>
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