public static class RBM.Builder extends BasePretrainNetwork.Builder<RBM.Builder>
lossFunction, preTrainIterations, visibleBiasInitnIn, nOutactivationFn, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, epsilon, gradientNormalization, gradientNormalizationThreshold, iupdater, l1, l1Bias, l2, l2Bias, learningRate, learningRatePolicy, learningRateSchedule, momentum, momentumAfter, rho, rmsDecay, updater, weightInitdropOut, layerName| Constructor and Description |
|---|
Builder() |
Builder(RBM.HiddenUnit hiddenUnit,
RBM.VisibleUnit visibleUnit) |
| Modifier and Type | Method and Description |
|---|---|
RBM |
build() |
RBM.Builder |
hiddenUnit(RBM.HiddenUnit hiddenUnit) |
RBM.Builder |
k(int k) |
RBM.Builder |
sparsity(double sparsity) |
RBM.Builder |
visibleUnit(RBM.VisibleUnit visibleUnit) |
lossFunction, preTrainIterations, visibleBiasInitnIn, nOutactivation, activation, activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, learningRate, learningRateDecayPolicy, learningRateSchedule, momentum, momentumAfter, rho, rmsDecay, updater, updater, weightInitdropOut, namepublic Builder(RBM.HiddenUnit hiddenUnit, RBM.VisibleUnit visibleUnit)
public Builder()
public RBM build()
build in class Layer.Builder<RBM.Builder>public RBM.Builder k(int k)
public RBM.Builder hiddenUnit(RBM.HiddenUnit hiddenUnit)
public RBM.Builder visibleUnit(RBM.VisibleUnit visibleUnit)
public RBM.Builder sparsity(double sparsity)
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