public static class LossLayer.Builder extends BaseOutputLayer.Builder<LossLayer.Builder>
lossFn
nIn, nOut
activationFunction, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l2, layerName, learningRate, learningRatePolicy, learningRateSchedule, momentum, momentumAfter, rho, rmsDecay, updater, weightInit
Constructor and Description |
---|
Builder() |
Builder(org.nd4j.linalg.lossfunctions.ILossFunction lossFunction) |
Builder(org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction) |
Modifier and Type | Method and Description |
---|---|
LossLayer |
build() |
LossLayer.Builder |
nIn(int nIn) |
LossLayer.Builder |
nOut(int nOut) |
lossFunction, lossFunction
activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l2, learningRate, learningRateDecayPolicy, learningRateSchedule, momentum, momentumAfter, name, rho, rmsDecay, updater, weightInit
public Builder()
public Builder(org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction)
public Builder(org.nd4j.linalg.lossfunctions.ILossFunction lossFunction)
public LossLayer.Builder nIn(int nIn)
nIn
in class FeedForwardLayer.Builder<LossLayer.Builder>
public LossLayer.Builder nOut(int nOut)
nOut
in class FeedForwardLayer.Builder<LossLayer.Builder>
public LossLayer build()
build
in class Layer.Builder<LossLayer.Builder>
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