public class AutoEncoder extends BasePretrainNetwork
Modifier and Type | Class and Description |
---|---|
static class |
AutoEncoder.Builder |
Modifier and Type | Field and Description |
---|---|
protected double |
corruptionLevel |
protected double |
sparsity |
customLossFunction, lossFunction
nIn, nOut
activationFunction, adamMeanDecay, adamVarDecay, biasInit, biasL1, biasL2, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l2, layerName, learningRate, learningRateSchedule, momentum, momentumSchedule, rho, rmsDecay, updater, weightInit
Modifier and Type | Method and Description |
---|---|
ParamInitializer |
initializer() |
Layer |
instantiate(NeuralNetConfiguration conf,
Collection<IterationListener> iterationListeners,
int layerIndex,
org.nd4j.linalg.api.ndarray.INDArray layerParamsView,
boolean initializeParams) |
getL1ByParam, getL2ByParam, getLearningRateByParam
getOutputType, getPreProcessorForInputType, setNIn
clone, getUpdaterByParam
public Layer instantiate(NeuralNetConfiguration conf, Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
instantiate
in class Layer
public ParamInitializer initializer()
initializer
in class Layer
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