public abstract static class BaseOutputLayerSpace.Builder<T> extends FeedForwardLayerSpace.Builder<T>
| Modifier and Type | Field and Description |
|---|---|
protected ParameterSpace<Boolean> |
hasBias |
protected ParameterSpace<org.nd4j.linalg.lossfunctions.ILossFunction> |
lossFunction |
constrainAll, constrainBias, constrainWeights, nIn, nOutactivationFunction, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, updater, weightInit, weightNoisedropOut| Constructor and Description |
|---|
Builder() |
| Modifier and Type | Method and Description |
|---|---|
T |
hasBias(boolean hasBias) |
T |
hasBias(ParameterSpace<Boolean> hasBias) |
T |
iLossFunction(org.nd4j.linalg.lossfunctions.ILossFunction lossFunction) |
T |
iLossFunction(ParameterSpace<org.nd4j.linalg.lossfunctions.ILossFunction> lossFunction) |
T |
lossFunction(org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction) |
T |
lossFunction(ParameterSpace<org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction> lossFunction) |
constrainAllParams, constrainAllParams, constrainBias, constrainBias, constrainWeights, constrainWeights, nIn, nIn, nOut, nOutactivation, activation, activation, activation, activationFn, biasInit, biasInit, biasUpdater, biasUpdater, dist, dist, gradientNormalization, gradientNormalization, gradientNormalizationThreshold, gradientNormalizationThreshold, l1, l1, l1Bias, l1Bias, l2, l2, l2Bias, l2Bias, updater, updater, weightInit, weightInit, weightInitbuild, dropOut, dropOut, iDropOutprotected ParameterSpace<org.nd4j.linalg.lossfunctions.ILossFunction> lossFunction
protected ParameterSpace<Boolean> hasBias
public T lossFunction(org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction)
public T lossFunction(ParameterSpace<org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction> lossFunction)
public T iLossFunction(org.nd4j.linalg.lossfunctions.ILossFunction lossFunction)
public T iLossFunction(ParameterSpace<org.nd4j.linalg.lossfunctions.ILossFunction> lossFunction)
public T hasBias(boolean hasBias)
public T hasBias(ParameterSpace<Boolean> hasBias)
Copyright © 2020. All rights reserved.