Serialized Form (deeplearning4j-nn 1.0.0-beta7 API)

Package org.deeplearning4j.earlystopping
- Class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration extends Object implements Serializable
  - Serialized Fields
    - modelSaver
```
EarlyStoppingModelSaver<T extends Model> modelSaver
```
    - epochTerminationConditions
```
List<E> epochTerminationConditions
```
    - iterationTerminationConditions
```
List<E> iterationTerminationConditions
```
    - saveLastModel
```
boolean saveLastModel
```
    - evaluateEveryNEpochs
```
int evaluateEveryNEpochs
```
    - scoreCalculator
```
ScoreCalculator<T extends Model> scoreCalculator
```
    - scoreCalculatorSupplier
```
Supplier<T> scoreCalculatorSupplier
```
- Class org.deeplearning4j.earlystopping.EarlyStoppingResult extends Object implements Serializable
  - Serialized Fields
    - terminationReason
```
EarlyStoppingResult.TerminationReason terminationReason
```
    - terminationDetails
```
String terminationDetails
```
    - scoreVsEpoch
```
Map<K,V> scoreVsEpoch
```
    - bestModelEpoch
```
int bestModelEpoch
```
    - bestModelScore
```
double bestModelScore
```
    - totalEpochs
```
int totalEpochs
```
    - bestModel
```
Model bestModel
```
Package org.deeplearning4j.earlystopping.saver
- Class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver extends Object implements Serializable
- Class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver extends Object implements Serializable
  - Serialized Fields
    - directory
```
String directory
```
    - encoding
```
Charset encoding
```
- Class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver extends Object implements Serializable
  - Serialized Fields
    - directory
```
String directory
```
    - encoding
```
Charset encoding
```
Package org.deeplearning4j.earlystopping.scorecalc
- Class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - metric
```
RegressionEvaluation.Metric metric
```
    - evaluation
```
RegressionEvaluation evaluation
```
- Class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator extends BaseIEvaluationScoreCalculator<Model,Evaluation> implements Serializable
  - Serialized Fields
    - metric
```
Evaluation.Metric metric
```
- Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - average
```
boolean average
```
- Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG extends Object implements Serializable
  - Serialized Fields
    - dataSetIterator
```
DataSetIterator dataSetIterator
```
      Deprecated.
    - multiDataSetIterator
```
MultiDataSetIterator multiDataSetIterator
```
      Deprecated.
    - average
```
boolean average
```
      Deprecated.
- Class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator extends BaseIEvaluationScoreCalculator<Model,RegressionEvaluation> implements Serializable
  - Serialized Fields
    - metric
```
RegressionEvaluation.Metric metric
```
- Class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator extends BaseIEvaluationScoreCalculator<Model,IEvaluation> implements Serializable
  - Serialized Fields
    - type
```
ROCScoreCalculator.ROCType type
```
    - metric
```
ROCScoreCalculator.Metric metric
```
- Class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - metric
```
RegressionEvaluation.Metric metric
```
    - evaluation
```
RegressionEvaluation evaluation
```
- Class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - reconstructionProbNumSamples
```
int reconstructionProbNumSamples
```
    - logProb
```
boolean logProb
```
    - average
```
boolean average
```
Package org.deeplearning4j.earlystopping.scorecalc.base
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
MultiDataSetIterator iterator
```
    - iter
```
DataSetIterator iter
```
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator extends BaseScoreCalculator<MultiLayerNetwork> implements Serializable
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator extends Object implements Serializable
  - Serialized Fields
    - mdsIterator
```
MultiDataSetIterator mdsIterator
```
    - iterator
```
DataSetIterator iterator
```
    - scoreSum
```
double scoreSum
```
    - minibatchCount
```
int minibatchCount
```
    - exampleCount
```
int exampleCount
```
Package org.deeplearning4j.earlystopping.termination
- Class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - bestExpectedScore
```
double bestExpectedScore
```
- Class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition extends Object implements Serializable
- Class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxEpochs
```
int maxEpochs
```
- Class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxScore
```
double maxScore
```
- Class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxTimeAmount
```
long maxTimeAmount
```
    - maxTimeUnit
```
TimeUnit maxTimeUnit
```
    - initializationTime
```
long initializationTime
```
    - endTime
```
long endTime
```
- Class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxEpochsWithNoImprovement
```
int maxEpochsWithNoImprovement
```
    - bestEpoch
```
int bestEpoch
```
    - bestScore
```
double bestScore
```
    - minImprovement
```
double minImprovement
```
Package org.deeplearning4j.eval
- Class org.deeplearning4j.eval.BaseEvaluation extends BaseEvaluation<T extends BaseEvaluation> implements Serializable
- Class org.deeplearning4j.eval.ConfusionMatrix extends ConfusionMatrix<T extends Comparable<? super T>> implements Serializable
- Class org.deeplearning4j.eval.Evaluation extends Evaluation implements Serializable
- Class org.deeplearning4j.eval.EvaluationBinary extends EvaluationBinary implements Serializable
- Class org.deeplearning4j.eval.EvaluationCalibration extends EvaluationCalibration implements Serializable
- Class org.deeplearning4j.eval.RegressionEvaluation extends RegressionEvaluation implements Serializable
- Class org.deeplearning4j.eval.ROC extends ROC implements Serializable
- Class org.deeplearning4j.eval.ROC.CountsForThreshold extends ROC.CountsForThreshold implements Serializable
- Class org.deeplearning4j.eval.ROCBinary extends ROCBinary implements Serializable
- Class org.deeplearning4j.eval.ROCMultiClass extends ROCMultiClass implements Serializable
Package org.deeplearning4j.exception
- Class org.deeplearning4j.exception.DeepLearningException extends Exception implements Serializable
  
  serialVersionUID:
  
  -7973589163269627293L
- Class org.deeplearning4j.exception.DL4JException extends RuntimeException implements Serializable
- Class org.deeplearning4j.exception.DL4JInvalidConfigException extends DL4JException implements Serializable
- Class org.deeplearning4j.exception.DL4JInvalidInputException extends DL4JException implements Serializable
- Class org.deeplearning4j.exception.InvalidStepException extends Exception implements Serializable
Package org.deeplearning4j.nn.adapters
- Class org.deeplearning4j.nn.adapters.ArgmaxAdapter extends Object implements Serializable
- Class org.deeplearning4j.nn.adapters.Regression2dAdapter extends Object implements Serializable
- Class org.deeplearning4j.nn.adapters.YoloModelAdapter extends Object implements Serializable
  - Serialized Fields
    - outputLayerIndex
```
int outputLayerIndex
```
    - outputIndex
```
int outputIndex
```
    - detectionThreshold
```
double detectionThreshold
```
Package org.deeplearning4j.nn.api
Package org.deeplearning4j.nn.api.layers
Package org.deeplearning4j.nn.conf
- Class org.deeplearning4j.nn.conf.ComputationGraphConfiguration extends Object implements Serializable
  - Serialized Fields
    - vertices
```
Map<K,V> vertices
```
    - vertexInputs
```
Map<K,V> vertexInputs
```
    - trainingWorkspaceMode
```
WorkspaceMode trainingWorkspaceMode
```
    - inferenceWorkspaceMode
```
WorkspaceMode inferenceWorkspaceMode
```
    - cacheMode
```
CacheMode cacheMode
```
    - dataType
```
DataType dataType
```
    - validateOutputLayerConfig
```
boolean validateOutputLayerConfig
```
    - networkInputs
```
List<E> networkInputs
```
      List of inputs to the network, by name
    - networkOutputs
```
List<E> networkOutputs
```
      List of network outputs, by name
    - backpropType
```
BackpropType backpropType
```
    - tbpttFwdLength
```
int tbpttFwdLength
```
    - tbpttBackLength
```
int tbpttBackLength
```
    - defaultConfiguration
```
NeuralNetConfiguration defaultConfiguration
```
    - iterationCount
```
int iterationCount
```
    - epochCount
```
int epochCount
```
    - topologicalOrder
```
int[] topologicalOrder
```
    - topologicalOrderStr
```
List<E> topologicalOrderStr
```
- Class org.deeplearning4j.nn.conf.MultiLayerConfiguration extends Object implements Serializable
  - Serialized Fields
    - confs
```
List<E> confs
```
    - inputPreProcessors
```
Map<K,V> inputPreProcessors
```
    - backpropType
```
BackpropType backpropType
```
    - tbpttFwdLength
```
int tbpttFwdLength
```
    - tbpttBackLength
```
int tbpttBackLength
```
    - validateOutputLayerConfig
```
boolean validateOutputLayerConfig
```
    - trainingWorkspaceMode
```
WorkspaceMode trainingWorkspaceMode
```
    - inferenceWorkspaceMode
```
WorkspaceMode inferenceWorkspaceMode
```
    - cacheMode
```
CacheMode cacheMode
```
    - dataType
```
DataType dataType
```
    - iterationCount
```
int iterationCount
```
    - epochCount
```
int epochCount
```
- Class org.deeplearning4j.nn.conf.NeuralNetConfiguration extends Object implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
    - miniBatch
```
boolean miniBatch
```
    - maxNumLineSearchIterations
```
int maxNumLineSearchIterations
```
    - seed
```
long seed
```
    - optimizationAlgo
```
OptimizationAlgorithm optimizationAlgo
```
    - variables
```
List<E> variables
```
    - stepFunction
```
StepFunction stepFunction
```
    - minimize
```
boolean minimize
```
    - cacheMode
```
CacheMode cacheMode
```
    - dataType
```
DataType dataType
```
    - iterationCount
```
int iterationCount
```
    - epochCount
```
int epochCount
```
Package org.deeplearning4j.nn.conf.constraint
- Class org.deeplearning4j.nn.conf.constraint.BaseConstraint extends Object implements Serializable
  - Serialized Fields
    - params
```
Set<E> params
```
    - epsilon
```
double epsilon
```
    - dimensions
```
int[] dimensions
```
- Class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint extends BaseConstraint implements Serializable
  - Serialized Fields
    - maxNorm
```
double maxNorm
```
- Class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint extends BaseConstraint implements Serializable
  - Serialized Fields
    - min
```
double min
```
    - max
```
double max
```
    - rate
```
double rate
```
- Class org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint extends BaseConstraint implements Serializable
- Class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint extends BaseConstraint implements Serializable
Package org.deeplearning4j.nn.conf.distribution
- Class org.deeplearning4j.nn.conf.distribution.BinomialDistribution extends Distribution implements Serializable
  
  serialVersionUID:
  
  7407024251874318749L
  - Serialized Fields
    - numberOfTrials
```
int numberOfTrials
```
    - probabilityOfSuccess
```
double probabilityOfSuccess
```
- Class org.deeplearning4j.nn.conf.distribution.ConstantDistribution extends Distribution implements Serializable
  - Serialized Fields
    - value
```
double value
```
- Class org.deeplearning4j.nn.conf.distribution.Distribution extends Object implements Serializable
  
  serialVersionUID:
  
  5401741214954998498L
- Class org.deeplearning4j.nn.conf.distribution.GaussianDistribution extends NormalDistribution implements Serializable
- Class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
```
double mean
```
    - std
```
double std
```
- Class org.deeplearning4j.nn.conf.distribution.NormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
```
double mean
```
    - std
```
double std
```
- Class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - gain
```
double gain
```
- Class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
```
double mean
```
    - std
```
double std
```
- Class org.deeplearning4j.nn.conf.distribution.UniformDistribution extends Distribution implements Serializable
  - Serialized Fields
    - upper
```
double upper
```
    - lower
```
double lower
```
Package org.deeplearning4j.nn.conf.distribution.serde
- Class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionHelper extends Distribution implements Serializable
Package org.deeplearning4j.nn.conf.dropout
- Class org.deeplearning4j.nn.conf.dropout.AlphaDropout extends Object implements Serializable
  - Serialized Fields
    - p
```
double p
```
    - pSchedule
```
ISchedule pSchedule
```
    - alpha
```
double alpha
```
    - lambda
```
double lambda
```
    - alphaPrime
```
double alphaPrime
```
    - a
```
double a
```
    - b
```
double b
```
- Class org.deeplearning4j.nn.conf.dropout.Dropout extends Object implements Serializable
  - Serialized Fields
    - helperAllowFallback
```
boolean helperAllowFallback
```
      When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user. If false, the built-in (non-CuDNN) implementation for LSTM/GravesLSTM will be used
    - p
```
double p
```
    - pSchedule
```
ISchedule pSchedule
```
    - initializedHelper
```
boolean initializedHelper
```
    - helperCountFail
```
int helperCountFail
```
- Class org.deeplearning4j.nn.conf.dropout.GaussianDropout extends Object implements Serializable
  - Serialized Fields
    - rate
```
double rate
```
    - rateSchedule
```
ISchedule rateSchedule
```
- Class org.deeplearning4j.nn.conf.dropout.GaussianNoise extends Object implements Serializable
  - Serialized Fields
    - stddev
```
double stddev
```
    - stddevSchedule
```
ISchedule stddevSchedule
```
- Class org.deeplearning4j.nn.conf.dropout.SpatialDropout extends Object implements Serializable
  - Serialized Fields
    - p
```
double p
```
    - pSchedule
```
ISchedule pSchedule
```
Package org.deeplearning4j.nn.conf.graph
- Class org.deeplearning4j.nn.conf.graph.AttentionVertex extends SameDiffVertex implements Serializable
  - Serialized Fields
    - nInKeys
```
long nInKeys
```
    - nInValues
```
long nInValues
```
    - nInQueries
```
long nInQueries
```
    - nOut
```
long nOut
```
    - headSize
```
long headSize
```
    - nHeads
```
int nHeads
```
    - projectInput
```
boolean projectInput
```
    - weightInit
```
WeightInit weightInit
```
- Class org.deeplearning4j.nn.conf.graph.ElementWiseVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - op
```
ElementWiseVertex.Op op
```
- Class org.deeplearning4j.nn.conf.graph.FrozenVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - underlying
```
GraphVertex underlying
```
- Class org.deeplearning4j.nn.conf.graph.GraphVertex extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - dimension
```
int[] dimension
```
    - eps
```
double eps
```
- Class org.deeplearning4j.nn.conf.graph.L2Vertex extends GraphVertex implements Serializable
  - Serialized Fields
    - eps
```
double eps
```
- Class org.deeplearning4j.nn.conf.graph.LayerVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - layerConf
```
NeuralNetConfiguration layerConf
```
    - preProcessor
```
InputPreProcessor preProcessor
```
    - outputVertex
```
boolean outputVertex
```
- Class org.deeplearning4j.nn.conf.graph.MergeVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - mergeAxis
```
int mergeAxis
```
- Class org.deeplearning4j.nn.conf.graph.PoolHelperVertex extends GraphVertex implements Serializable
- Class org.deeplearning4j.nn.conf.graph.PreprocessorVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - preProcessor
```
InputPreProcessor preProcessor
```
- Class org.deeplearning4j.nn.conf.graph.ReshapeVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - reshapeOrder
```
char reshapeOrder
```
    - newShape
```
int[] newShape
```
    - maskShape
```
int[] maskShape
```
- Class org.deeplearning4j.nn.conf.graph.ScaleVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - scaleFactor
```
double scaleFactor
```
- Class org.deeplearning4j.nn.conf.graph.ShiftVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - shiftFactor
```
double shiftFactor
```
- Class org.deeplearning4j.nn.conf.graph.StackVertex extends GraphVertex implements Serializable
- Class org.deeplearning4j.nn.conf.graph.SubsetVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - from
```
int from
```
    - to
```
int to
```
- Class org.deeplearning4j.nn.conf.graph.UnstackVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - from
```
int from
```
    - stackSize
```
int stackSize
```
Package org.deeplearning4j.nn.conf.graph.rnn
- Class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - inputName
```
String inputName
```
- Class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - maskArrayInputName
```
String maskArrayInputName
```
- Class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - maskArrayInputName
```
String maskArrayInputName
```
Package org.deeplearning4j.nn.conf.inputs
- Class org.deeplearning4j.nn.conf.inputs.InputType extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional extends InputType implements Serializable
  - Serialized Fields
    - height
```
long height
```
    - width
```
long width
```
    - channels
```
long channels
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D extends InputType implements Serializable
  - Serialized Fields
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
    - depth
```
long depth
```
    - height
```
long height
```
    - width
```
long width
```
    - channels
```
long channels
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat extends InputType implements Serializable
  - Serialized Fields
    - height
```
long height
```
    - width
```
long width
```
    - depth
```
long depth
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward extends InputType implements Serializable
  - Serialized Fields
    - size
```
long size
```
    - timeDistributedFormat
```
DataFormat timeDistributedFormat
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent extends InputType implements Serializable
  - Serialized Fields
    - size
```
long size
```
    - timeSeriesLength
```
long timeSeriesLength
```
    - format
```
RNNFormat format
```
- Class org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException extends RuntimeException implements Serializable
Package org.deeplearning4j.nn.conf.layers
- Class org.deeplearning4j.nn.conf.layers.AbstractLSTM extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
    - gateActivationFn
```
IActivation gateActivationFn
```
    - helperAllowFallback
```
boolean helperAllowFallback
```
- Class org.deeplearning4j.nn.conf.layers.ActivationLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.AutoEncoder extends BasePretrainNetwork implements Serializable
  - Serialized Fields
    - corruptionLevel
```
double corruptionLevel
```
    - sparsity
```
double sparsity
```
- Class org.deeplearning4j.nn.conf.layers.BaseLayer extends Layer implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
    - weightInitFn
```
IWeightInit weightInitFn
```
    - biasInit
```
double biasInit
```
    - gainInit
```
double gainInit
```
    - regularization
```
List<E> regularization
```
    - regularizationBias
```
List<E> regularizationBias
```
    - iUpdater
```
IUpdater iUpdater
```
    - biasUpdater
```
IUpdater biasUpdater
```
    - weightNoise
```
IWeightNoise weightNoise
```
    - gradientNormalization
```
GradientNormalization gradientNormalization
```
    - gradientNormalizationThreshold
```
double gradientNormalizationThreshold
```
- Class org.deeplearning4j.nn.conf.layers.BaseOutputLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
ILossFunction lossFn
```
    - hasBias
```
boolean hasBias
```
- Class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFunction
```
LossFunctions.LossFunction lossFunction
```
    - visibleBiasInit
```
double visibleBiasInit
```
- Class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - weightInitFnRecurrent
```
IWeightInit weightInitFnRecurrent
```
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
- Class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - size
```
int[] size
```
- Class org.deeplearning4j.nn.conf.layers.BatchNormalization extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - decay
```
double decay
```
    - eps
```
double eps
```
    - isMinibatch
```
boolean isMinibatch
```
    - gamma
```
double gamma
```
    - beta
```
double beta
```
    - lockGammaBeta
```
boolean lockGammaBeta
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
    - useLogStd
```
boolean useLogStd
```
    - cnn2DFormat
```
CNN2DFormat cnn2DFormat
```
- Class org.deeplearning4j.nn.conf.layers.CapsuleLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - hasBias
```
boolean hasBias
```
    - inputCapsules
```
long inputCapsules
```
    - inputCapsuleDimensions
```
long inputCapsuleDimensions
```
    - capsules
```
int capsules
```
    - capsuleDimensions
```
int capsuleDimensions
```
    - routings
```
int routings
```
- Class org.deeplearning4j.nn.conf.layers.CapsuleStrengthLayer extends SameDiffLambdaLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - alpha
```
double alpha
```
    - lambda
```
double lambda
```
    - gradientCheck
```
boolean gradientCheck
```
- Class org.deeplearning4j.nn.conf.layers.Cnn3DLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
ILossFunction lossFn
```
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.CnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
ILossFunction lossFn
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.layers.Convolution1D extends Convolution1DLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Convolution1DLayer extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
- Class org.deeplearning4j.nn.conf.layers.Convolution2D extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Convolution3D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - mode
```
ConvolutionMode mode
```
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.ConvolutionLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
```
boolean hasBias
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - dilation
```
int[] dilation
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
    - cnn2dDataFormat
```
CNN2DFormat cnn2dDataFormat
```
    - cudnnAlgoMode
```
ConvolutionLayer.AlgoMode cudnnAlgoMode
```
      Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
    - cudnnFwdAlgo
```
ConvolutionLayer.FwdAlgo cudnnFwdAlgo
```
    - cudnnBwdFilterAlgo
```
ConvolutionLayer.BwdFilterAlgo cudnnBwdFilterAlgo
```
    - cudnnBwdDataAlgo
```
ConvolutionLayer.BwdDataAlgo cudnnBwdDataAlgo
```
- Class org.deeplearning4j.nn.conf.layers.Deconvolution2D extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Deconvolution3D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.DenseLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasLayerNorm
```
boolean hasLayerNorm
```
    - hasBias
```
boolean hasBias
```
- Class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - depthMultiplier
```
int depthMultiplier
```
- Class org.deeplearning4j.nn.conf.layers.DropoutLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.EmbeddingLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
```
boolean hasBias
```
- Class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - inputLength
```
int inputLength
```
    - hasBias
```
boolean hasBias
```
    - inferInputLength
```
boolean inferInputLength
```
    - outputFormat
```
RNNFormat outputFormat
```
- Class org.deeplearning4j.nn.conf.layers.FeedForwardLayer extends BaseLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - timeDistributedFormat
```
DataFormat timeDistributedFormat
```
- Class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - poolingType
```
PoolingType poolingType
```
    - poolingDimensions
```
int[] poolingDimensions
```
    - pnorm
```
int pnorm
```
    - collapseDimensions
```
boolean collapseDimensions
```
- Class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
      Deprecated.
    - gateActivationFn
```
IActivation gateActivationFn
```
      Deprecated.
    - helperAllowFallback
```
boolean helperAllowFallback
```
      Deprecated.
- Class org.deeplearning4j.nn.conf.layers.GravesLSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
      Deprecated.
    - gateActivationFn
```
IActivation gateActivationFn
```
      Deprecated.
- Class org.deeplearning4j.nn.conf.layers.Layer extends Object implements Serializable
  - Serialized Fields
    - layerName
```
String layerName
```
    - iDropout
```
IDropout iDropout
```
    - constraints
```
List<E> constraints
```
- Class org.deeplearning4j.nn.conf.layers.LearnedSelfAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - nHeads
```
int nHeads
```
    - headSize
```
long headSize
```
    - projectInput
```
boolean projectInput
```
    - nQueries
```
int nQueries
```
- Class org.deeplearning4j.nn.conf.layers.LocallyConnected1D extends SameDiffLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - activation
```
Activation activation
```
    - kernel
```
int kernel
```
    - stride
```
int stride
```
    - padding
```
int padding
```
    - paddingR
```
int paddingR
```
    - cm
```
ConvolutionMode cm
```
    - dilation
```
int dilation
```
    - hasBias
```
boolean hasBias
```
    - inputSize
```
int inputSize
```
    - outputSize
```
int outputSize
```
    - featureDim
```
int featureDim
```
- Class org.deeplearning4j.nn.conf.layers.LocallyConnected2D extends SameDiffLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - activation
```
Activation activation
```
    - kernel
```
int[] kernel
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - paddingBr
```
int[] paddingBr
```
    - cm
```
ConvolutionMode cm
```
    - dilation
```
int[] dilation
```
    - hasBias
```
boolean hasBias
```
    - inputSize
```
int[] inputSize
```
    - outputSize
```
int[] outputSize
```
    - featureDim
```
int featureDim
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization extends Layer implements Serializable
  - Serialized Fields
    - n
```
double n
```
    - k
```
double k
```
    - beta
```
double beta
```
    - alpha
```
double alpha
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
    - dataFormat
```
CNN2DFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.LossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
ILossFunction lossFn
```
- Class org.deeplearning4j.nn.conf.layers.LSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
    - gateActivationFn
```
IActivation gateActivationFn
```
- Class org.deeplearning4j.nn.conf.layers.NoParamLayer extends Layer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.OutputLayer extends BaseOutputLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Pooling1D extends Subsampling1DLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Pooling2D extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.PReLULayer extends BaseLayer implements Serializable
  - Serialized Fields
    - inputShape
```
long[] inputShape
```
    - sharedAxes
```
long[] sharedAxes
```
    - nIn
```
int nIn
```
    - nOut
```
int nOut
```
- Class org.deeplearning4j.nn.conf.layers.PrimaryCapsules extends SameDiffLayer implements Serializable
  - Serialized Fields
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - dilation
```
int[] dilation
```
    - inputChannels
```
int inputChannels
```
    - channels
```
int channels
```
    - hasBias
```
boolean hasBias
```
    - capsules
```
int capsules
```
    - capsuleDimensions
```
int capsuleDimensions
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - useRelu
```
boolean useRelu
```
    - leak
```
double leak
```
- Class org.deeplearning4j.nn.conf.layers.RecurrentAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - nHeads
```
int nHeads
```
    - headSize
```
long headSize
```
    - projectInput
```
boolean projectInput
```
    - activation
```
Activation activation
```
    - hasBias
```
boolean hasBias
```
    - timeSteps
```
int timeSteps
```
- Class org.deeplearning4j.nn.conf.layers.RnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
    - lossFn
```
ILossFunction lossFn
```
- Class org.deeplearning4j.nn.conf.layers.RnnOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
- Class org.deeplearning4j.nn.conf.layers.SelfAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - nIn
```
long nIn
```
    - nOut
```
long nOut
```
    - nHeads
```
int nHeads
```
    - headSize
```
long headSize
```
    - projectInput
```
boolean projectInput
```
- Class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - depthMultiplier
```
int depthMultiplier
```
- Class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - blocks
```
int[] blocks
```
    - padding
```
int[][] padding
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - blockSize
```
int blockSize
```
    - dataFormat
```
CNN2DFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - poolingType
```
PoolingType poolingType
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - dilation
```
int[] dilation
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.SubsamplingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - poolingType
```
PoolingType poolingType
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - dilation
```
int[] dilation
```
    - pnorm
```
int pnorm
```
    - eps
```
double eps
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
    - cnn2dDataFormat
```
CNN2DFormat cnn2dDataFormat
```
    - avgPoolIncludePadInDivisor
```
boolean avgPoolIncludePadInDivisor
```
- Class org.deeplearning4j.nn.conf.layers.Upsampling1D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - size
```
int[] size
```
- Class org.deeplearning4j.nn.conf.layers.Upsampling2D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - size
```
int[] size
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.layers.Upsampling3D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - size
```
int[] size
```
    - dataFormat
```
Convolution3D.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
    - dataFormat
```
CNN2DFormat dataFormat
```
Package org.deeplearning4j.nn.conf.layers.convolutional
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
    - dataFormat
```
CNN2DFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
Package org.deeplearning4j.nn.conf.layers.misc
- Class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer extends Layer implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
- Class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop extends BaseWrapperLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.misc.RepeatVector extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - n
```
int n
```
    - dataFormat
```
RNNFormat dataFormat
```
Package org.deeplearning4j.nn.conf.layers.objdetect
- Class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer extends Layer implements Serializable
  - Serialized Fields
    - lambdaCoord
```
double lambdaCoord
```
    - lambdaNoObj
```
double lambdaNoObj
```
    - lossPositionScale
```
ILossFunction lossPositionScale
```
    - lossClassPredictions
```
ILossFunction lossClassPredictions
```
    - boundingBoxes
```
INDArray boundingBoxes
```
Package org.deeplearning4j.nn.conf.layers.recurrent
- Class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional extends Layer implements Serializable
  - Serialized Fields
    - fwd
```
Layer fwd
```
    - bwd
```
Layer bwd
```
    - mode
```
Bidirectional.Mode mode
```
- Class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep extends BaseWrapperLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - hasLayerNorm
```
boolean hasLayerNorm
```
- Class org.deeplearning4j.nn.conf.layers.recurrent.TimeDistributed extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
Package org.deeplearning4j.nn.conf.layers.samediff
- Class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer extends Layer implements Serializable
  - Serialized Fields
    - regularization
```
List<E> regularization
```
    - regularizationBias
```
List<E> regularizationBias
```
    - updater
```
IUpdater updater
```
    - biasUpdater
```
IUpdater biasUpdater
```
    - gradientNormalization
```
GradientNormalization gradientNormalization
```
    - gradientNormalizationThreshold
```
double gradientNormalizationThreshold
```
    - layerParams
```
SDLayerParams layerParams
```
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer extends SameDiffLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex extends SameDiffVertex implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer extends AbstractSameDiffLayer implements Serializable
  - Serialized Fields
    - weightInit
```
WeightInit weightInit
```
    - paramWeightInit
```
Map<K,V> paramWeightInit
```
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer extends AbstractSameDiffLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - vertexParams
```
SDVertexParams vertexParams
```
    - name
```
String name
```
    - regularization
```
List<E> regularization
```
    - regularizationBias
```
List<E> regularizationBias
```
    - updater
```
IUpdater updater
```
    - biasUpdater
```
IUpdater biasUpdater
```
    - gradientNormalization
```
GradientNormalization gradientNormalization
```
    - gradientNormalizationThreshold
```
double gradientNormalizationThreshold
```
    - dataType
```
DataType dataType
```
- Class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams extends Object implements Serializable
  - Serialized Fields
    - weightParams
```
Map<K,V> weightParams
```
    - biasParams
```
Map<K,V> biasParams
```
    - paramsList
```
List<E> paramsList
```
    - weightParamsList
```
List<E> weightParamsList
```
    - biasParamsList
```
List<E> biasParamsList
```
- Class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams extends SDLayerParams implements Serializable
  - Serialized Fields
    - inputs
```
List<E> inputs
```
Package org.deeplearning4j.nn.conf.layers.util
- Class org.deeplearning4j.nn.conf.layers.util.MaskLayer extends NoParamLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer extends BaseWrapperLayer implements Serializable
  
  serialVersionUID:
  
  9074525846200921839L
  - Serialized Fields
    - maskingValue
```
double maskingValue
```
Package org.deeplearning4j.nn.conf.layers.variational
- Class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - distributionSizes
```
int[] distributionSizes
```
    - reconstructionDistributions
```
ReconstructionDistribution[] reconstructionDistributions
```
    - totalSize
```
int totalSize
```
- Class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
IActivation activationFn
```
    - lossFunction
```
ILossFunction lossFunction
```
- Class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder extends BasePretrainNetwork implements Serializable
  - Serialized Fields
    - encoderLayerSizes
```
int[] encoderLayerSizes
```
    - decoderLayerSizes
```
int[] decoderLayerSizes
```
    - outputDistribution
```
ReconstructionDistribution outputDistribution
```
    - pzxActivationFn
```
IActivation pzxActivationFn
```
    - numSamples
```
int numSamples
```
Package org.deeplearning4j.nn.conf.layers.wrapper
- Class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer extends Layer implements Serializable
  - Serialized Fields
    - underlying
```
Layer underlying
```
Package org.deeplearning4j.nn.conf.ocnn
- Class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - hiddenSize
```
int hiddenSize
```
    - nu
```
double nu
```
    - windowSize
```
int windowSize
```
    - initialRValue
```
double initialRValue
```
    - configureR
```
boolean configureR
```
    - lastEpochSinceRUpdated
```
int lastEpochSinceRUpdated
```
      Psuedo code from keras: start_time = time.time() for epoch in range(100): # Train with each example sess.run(updates, feed_dict={X: train_X,r:rvalue}) rvalue = nnScore(train_X, w_1, w_2, g) with sess.as_default(): rvalue = rvalue.eval() rvalue = np.percentile(rvalue,q=100*nu) print("Epoch = %d, r = %f" % (epoch + 1,rvalue))
Package org.deeplearning4j.nn.conf.preprocessor
- Class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputDepth
```
long inputDepth
```
    - inputHeight
```
long inputHeight
```
    - inputWidth
```
long inputWidth
```
    - numChannels
```
long numChannels
```
    - isNCDHW
```
boolean isNCDHW
```
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
long inputHeight
```
    - inputWidth
```
long inputWidth
```
    - numChannels
```
long numChannels
```
    - format
```
CNN2DFormat format
```
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
long inputHeight
```
    - inputWidth
```
long inputWidth
```
    - numChannels
```
long numChannels
```
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
    - product
```
long product
```
- Class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - inputPreProcessors
```
InputPreProcessor[] inputPreProcessors
```
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputDepth
```
int inputDepth
```
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - isNCDHW
```
boolean isNCDHW
```
    - shape
```
long[] shape
```
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
long inputHeight
```
    - inputWidth
```
long inputWidth
```
    - numChannels
```
long numChannels
```
    - shape
```
long[] shape
```
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
    - product
```
int product
```
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
Package org.deeplearning4j.nn.conf.serde
- Class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer extends org.nd4j.shade.jackson.databind.deser.std.StdDeserializer<T> implements Serializable
  - Serialized Fields
    - defaultDeserializer
```
org.nd4j.shade.jackson.databind.JsonDeserializer<T> defaultDeserializer
```
- Class org.deeplearning4j.nn.conf.serde.ComputationGraphConfigurationDeserializer extends BaseNetConfigDeserializer<ComputationGraphConfiguration> implements Serializable
- Class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer extends BaseNetConfigDeserializer<MultiLayerConfiguration> implements Serializable
Package org.deeplearning4j.nn.conf.stepfunctions
- Class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  890156465738412597L
- Class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  -2078308971477295356L
- Class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  -7172373342318047825L
- Class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  1180651861332789690L
- Class org.deeplearning4j.nn.conf.stepfunctions.StepFunction extends Object implements Serializable
  
  serialVersionUID:
  
  -1884835867123371330L
Package org.deeplearning4j.nn.conf.weightnoise
- Class org.deeplearning4j.nn.conf.weightnoise.DropConnect extends Object implements Serializable
  - Serialized Fields
    - weightRetainProb
```
double weightRetainProb
```
    - weightRetainProbSchedule
```
ISchedule weightRetainProbSchedule
```
    - applyToBiases
```
boolean applyToBiases
```
- Class org.deeplearning4j.nn.conf.weightnoise.WeightNoise extends Object implements Serializable
  - Serialized Fields
    - distribution
```
Distribution distribution
```
    - applyToBias
```
boolean applyToBias
```
    - additive
```
boolean additive
```
Package org.deeplearning4j.nn.gradient
- Class org.deeplearning4j.nn.gradient.DefaultGradient extends Object implements Serializable
  - Serialized Fields
    - gradients
```
Map<K,V> gradients
```
    - flatteningOrders
```
Map<K,V> flatteningOrders
```
    - flattenedGradient
```
INDArray flattenedGradient
```
Package org.deeplearning4j.nn.graph
- Class org.deeplearning4j.nn.graph.ComputationGraph extends Object implements Serializable
  - Serialization Methods
    - readObject
```
private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException
```
      Throws:
      
      ClassNotFoundException
      
      IOException
    - writeObject
```
private void writeObject(ObjectOutputStream oos)
                  throws IOException
```
      Throws:
      
      IOException
  - Serialized Fields
    - configuration
```
ComputationGraphConfiguration configuration
```
    - initCalled
```
boolean initCalled
```
    - flattenedParams
```
INDArray flattenedParams
```
    - gradient
```
Gradient gradient
```
    - score
```
double score
```
    - initDone
```
boolean initDone
```
    - clearTbpttState
```
boolean clearTbpttState
```
    - WS_LAYER_WORKING_MEM_CONFIG
```
WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG
```
    - WS_LAYER_ACT_X_CONFIG
```
WorkspaceConfiguration WS_LAYER_ACT_X_CONFIG
```
    - vertices
```
GraphVertex[] vertices
```
      All GraphVertex objects in the network.
    - verticesMap
```
Map<K,V> verticesMap
```
      Map of vertices by name
    - topologicalOrder
```
int[] topologicalOrder
```
      Indexes of graph vertices, in topological order. The topological order defines the order in which forward pass (and hence also backward pass, which is the opposite to this) is conducted in the network.
    - graphIndices
```
GraphIndices graphIndices
```
      Topological sort and vertex index/name + name/index mapping
    - layers
```
Layer[] layers
```
      A list of layers. Each of these layers is present in a GraphVertex, but are here for easy reference. This array also defines the order in which the getLayer(int) method returns layers.
    - numInputArrays
```
int numInputArrays
```
      The number of input arrays to the network. Many networks only have 1 input; however, a ComputationGraph may have an arbitrary number (>=1) separate input arrays
    - numOutputArrays
```
int numOutputArrays
```
      The number of output arrays to the network. Many networks only have 1 output; however, a ComputationGraph may have an arbitrary number (>=1) separate output arrays
    - defaultConfiguration
```
NeuralNetConfiguration defaultConfiguration
```
    - trainingListeners
```
Collection<E> trainingListeners
```
Package org.deeplearning4j.nn.graph.vertex
- Class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex extends Object implements Serializable
  - Serialized Fields
    - graph
```
ComputationGraph graph
```
    - vertexName
```
String vertexName
```
    - vertexIndex
```
int vertexIndex
```
      The index of this vertex
    - inputVertices
```
VertexIndices[] inputVertices
```
      A representation of the vertices that are inputs to this vertex (inputs during forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
    - outputVertices
```
VertexIndices[] outputVertices
```
      A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the output of this vertex (there is only one output) is connected to the Zth input of vertex Y
    - inputs
```
INDArray[] inputs
```
    - epsilon
```
INDArray epsilon
```
    - outputVertex
```
boolean outputVertex
```
    - dataType
```
DataType dataType
```
- Class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex extends Object implements Serializable
  - Serialized Fields
    - underlying
```
GraphVertex underlying
```
- Class org.deeplearning4j.nn.graph.vertex.VertexIndices extends Object implements Serializable
  - Serialized Fields
    - vertexIndex
```
int vertexIndex
```
    - vertexEdgeNumber
```
int vertexEdgeNumber
```
Package org.deeplearning4j.nn.graph.vertex.impl
- Class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - op
```
ElementWiseVertex.Op op
```
    - nInForwardPass
```
int nInForwardPass
```
- Class org.deeplearning4j.nn.graph.vertex.impl.FrozenVertex extends BaseWrapperVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.InputVertex extends BaseGraphVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - dimension
```
int[] dimension
```
    - eps
```
double eps
```
- Class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - eps
```
double eps
```
- Class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
    - layerPreProcessor
```
InputPreProcessor layerPreProcessor
```
    - setLayerInput
```
boolean setLayerInput
```
- Class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - forwardPassShapes
```
long[][] forwardPassShapes
```
    - fwdPassRank
```
int fwdPassRank
```
    - mergeAxis
```
int mergeAxis
```
- Class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex extends BaseGraphVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - preProcessor
```
InputPreProcessor preProcessor
```
- Class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - order
```
char order
```
    - newShape
```
int[] newShape
```
    - maskShape
```
int[] maskShape
```
- Class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - scaleFactor
```
double scaleFactor
```
- Class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - shiftFactor
```
double shiftFactor
```
- Class org.deeplearning4j.nn.graph.vertex.impl.StackVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - lastInputShapes
```
long[][] lastInputShapes
```
- Class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - from
```
int from
```
    - to
```
int to
```
    - forwardShape
```
long[] forwardShape
```
- Class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - from
```
long from
```
    - stackSize
```
int stackSize
```
    - forwardShape
```
long[] forwardShape
```
    - step
```
long step
```
Package org.deeplearning4j.nn.graph.vertex.impl.rnn
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - inputName
```
String inputName
```
    - inputVertexIndex
```
int inputVertexIndex
```
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - inputName
```
String inputName
```
    - inputIdx
```
int inputIdx
```
    - fwdPassShape
```
long[] fwdPassShape
```
      Shape of the forward pass activations
    - fwdPassTimeSteps
```
int[] fwdPassTimeSteps
```
      Indexes of the time steps that were extracted, for each example
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - inputName
```
String inputName
```
    - inputIdx
```
int inputIdx
```
Package org.deeplearning4j.nn.layers
- Class org.deeplearning4j.nn.layers.AbstractLayer extends Object implements Serializable
  - Serialized Fields
    - input
```
INDArray input
```
    - preOutput
```
INDArray preOutput
```
    - conf
```
NeuralNetConfiguration conf
```
    - dropoutApplied
```
boolean dropoutApplied
```
    - trainingListeners
```
Collection<E> trainingListeners
```
    - index
```
int index
```
    - maskArray
```
INDArray maskArray
```
    - maskState
```
MaskState maskState
```
    - cacheMode
```
CacheMode cacheMode
```
    - inputModificationAllowed
```
boolean inputModificationAllowed
```
    - dataType
```
DataType dataType
```
    - iterationCount
```
int iterationCount
```
    - epochCount
```
int epochCount
```
- Class org.deeplearning4j.nn.layers.ActivationLayer extends AbstractLayer<ActivationLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.BaseLayer extends AbstractLayer<LayerConfT extends BaseLayer> implements Serializable
  - Serialized Fields
    - paramsFlattened
```
INDArray paramsFlattened
```
    - gradientsFlattened
```
INDArray gradientsFlattened
```
    - params
```
Map<K,V> params
```
    - score
```
double score
```
    - optimizer
```
ConvexOptimizer optimizer
```
    - gradient
```
Gradient gradient
```
    - solver
```
Solver solver
```
    - weightNoiseParams
```
Map<K,V> weightNoiseParams
```
- Class org.deeplearning4j.nn.layers.BaseOutputLayer extends BaseLayer<LayerConfT extends BaseOutputLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
    - fullNetRegTerm
```
double fullNetRegTerm
```
    - inputMaskArray
```
INDArray inputMaskArray
```
    - inputMaskArrayState
```
MaskState inputMaskArrayState
```
- Class org.deeplearning4j.nn.layers.BasePretrainNetwork extends BaseLayer<LayerConfT extends BasePretrainNetwork> implements Serializable
- Class org.deeplearning4j.nn.layers.DropoutLayer extends BaseLayer<DropoutLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.FrozenLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - logUpdate
```
boolean logUpdate
```
    - logFit
```
boolean logFit
```
    - logTestMode
```
boolean logTestMode
```
    - logGradient
```
boolean logGradient
```
    - zeroGradient
```
Gradient zeroGradient
```
- Class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - logUpdate
```
boolean logUpdate
```
    - logFit
```
boolean logFit
```
    - logTestMode
```
boolean logTestMode
```
    - logGradient
```
boolean logGradient
```
    - zeroGradient
```
Gradient zeroGradient
```
- Class org.deeplearning4j.nn.layers.LossLayer extends BaseLayer<LossLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
    - fullNetworkRegularizationScore
```
double fullNetworkRegularizationScore
```
- Class org.deeplearning4j.nn.layers.OutputLayer extends BaseOutputLayer<OutputLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.RepeatVector extends AbstractLayer<RepeatVector> implements Serializable
Package org.deeplearning4j.nn.layers.convolution
- Class org.deeplearning4j.nn.layers.convolution.Cnn3DLossLayer extends BaseLayer<Cnn3DLossLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
- Class org.deeplearning4j.nn.layers.convolution.CnnLossLayer extends BaseLayer<CnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
- Class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer extends BaseLayer<ConvolutionLayer> implements Serializable
  - Serialized Fields
    - i2d
```
INDArray i2d
```
    - helper
```
ConvolutionHelper helper
```
    - helperCountFail
```
int helperCountFail
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
- Class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer extends AbstractLayer<Cropping1D> implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
- Class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer extends AbstractLayer<Cropping2D> implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
- Class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer extends AbstractLayer<Cropping3D> implements Serializable
  - Serialized Fields
    - cropping
```
int[] cropping
```
- Class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.Deconvolution3DLayer extends BaseLayer<Deconvolution3D> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SpaceToBatch extends AbstractLayer<SpaceToBatchLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SpaceToDepth extends AbstractLayer<SpaceToDepthLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer extends AbstractLayer<ZeroPadding1DLayer> implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer extends AbstractLayer<ZeroPadding3DLayer> implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer extends AbstractLayer<ZeroPaddingLayer> implements Serializable
Package org.deeplearning4j.nn.layers.convolution.subsampling
- Class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer extends AbstractLayer<Subsampling3DLayer> implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
- Class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer extends AbstractLayer<SubsamplingLayer> implements Serializable
  - Serialized Fields
    - helper
```
SubsamplingHelper helper
```
    - helperCountFail
```
int helperCountFail
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
Package org.deeplearning4j.nn.layers.convolution.upsampling
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D extends Upsampling2D implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D extends AbstractLayer<Upsampling2D> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D extends AbstractLayer<Upsampling3D> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward
- Class org.deeplearning4j.nn.layers.feedforward.PReLU extends BaseLayer<PReLULayer> implements Serializable
  - Serialized Fields
    - axes
```
long[] axes
```
Package org.deeplearning4j.nn.layers.feedforward.autoencoder
- Class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder extends BasePretrainNetwork<AutoEncoder> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive
- Class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree extends Object implements Serializable
  - Serialized Fields
    - vector
```
INDArray vector
```
    - prediction
```
INDArray prediction
```
    - children
```
List<E> children
```
    - error
```
double error
```
    - parent
```
Tree parent
```
    - headWord
```
String headWord
```
    - value
```
String value
```
    - label
```
String label
```
    - type
```
String type
```
    - goldLabel
```
int goldLabel
```
    - tokens
```
List<E> tokens
```
    - tags
```
List<E> tags
```
    - parse
```
String parse
```
    - begin
```
int begin
```
    - end
```
int end
```
Package org.deeplearning4j.nn.layers.feedforward.dense
- Class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer extends BaseLayer<DenseLayer> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.elementwise
- Class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer extends BaseLayer<ElementWiseMultiplicationLayer> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.embedding
- Class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer extends BaseLayer<EmbeddingLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer extends BaseLayer<EmbeddingSequenceLayer> implements Serializable
  - Serialized Fields
    - indexes
```
int[] indexes
```
Package org.deeplearning4j.nn.layers.normalization
- Class org.deeplearning4j.nn.layers.normalization.BatchNormalization extends BaseLayer<BatchNormalization> implements Serializable
  - Serialized Fields
    - helper
```
BatchNormalizationHelper helper
```
    - helperCountFail
```
int helperCountFail
```
    - index
```
int index
```
    - listeners
```
List<E> listeners
```
    - std
```
INDArray std
```
    - xMu
```
INDArray xMu
```
    - xHat
```
INDArray xHat
```
- Class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization extends AbstractLayer<LocalResponseNormalization> implements Serializable
  - Serialized Fields
    - helper
```
LocalResponseNormalizationHelper helper
```
    - helperCountFail
```
int helperCountFail
```
Package org.deeplearning4j.nn.layers.objdetect
- Class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer extends AbstractLayer<Yolo2OutputLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
    - fullNetRegTerm
```
double fullNetRegTerm
```
    - score
```
double score
```
Package org.deeplearning4j.nn.layers.ocnn
- Class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer extends BaseOutputLayer<OCNNOutputLayer> implements Serializable
  - Serialized Fields
    - activation
```
IActivation activation
```
    - lossFunction
```
ILossFunction lossFunction
```
    - batchWindowSizeIndex
```
int batchWindowSizeIndex
```
    - window
```
INDArray window
```
- Class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction extends Object implements Serializable
Package org.deeplearning4j.nn.layers.pooling
- Class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer extends AbstractLayer<GlobalPoolingLayer> implements Serializable
  - Serialized Fields
    - poolingDimensions
```
int[] poolingDimensions
```
    - poolingType
```
PoolingType poolingType
```
    - pNorm
```
int pNorm
```
Package org.deeplearning4j.nn.layers.recurrent
- Class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer extends BaseLayer<LayerConfT extends BaseRecurrentLayer> implements Serializable
  - Serialized Fields
    - stateMap
```
Map<K,V> stateMap
```
      stateMap stores the INDArrays needed to do rnnTimeStep() forward pass.
    - tBpttStateMap
```
Map<K,V> tBpttStateMap
```
      State map for use specifically in truncated BPTT training. Whereas stateMap contains the state from which forward pass is initialized, the tBpttStateMap contains the state at the end of the last truncated bptt
    - helperCountFail
```
int helperCountFail
```
- Class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer extends Object implements Serializable
  - Serialized Fields
    - conf
```
NeuralNetConfiguration conf
```
    - fwd
```
Layer fwd
```
    - bwd
```
Layer bwd
```
    - layerConf
```
Bidirectional layerConf
```
    - paramsView
```
INDArray paramsView
```
    - gradientView
```
INDArray gradientView
```
    - input
```
INDArray input
```
    - outFwd
```
INDArray outFwd
```
    - outBwd
```
INDArray outBwd
```
- Class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM extends BaseRecurrentLayer<GravesBidirectionalLSTM> implements Serializable
  - Serialized Fields
    - cachedPassForward
```
FwdPassReturn cachedPassForward
```
    - cachedPassBackward
```
FwdPassReturn cachedPassBackward
```
- Class org.deeplearning4j.nn.layers.recurrent.GravesLSTM extends BaseRecurrentLayer<GravesLSTM> implements Serializable
  - Serialized Fields
    - cachedFwdPass
```
FwdPassReturn cachedFwdPass
```
      Deprecated.
- Class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - lastTimeStepIdxs
```
int[] lastTimeStepIdxs
```
    - origOutputShape
```
long[] origOutputShape
```
- Class org.deeplearning4j.nn.layers.recurrent.LSTM extends BaseRecurrentLayer<LSTM> implements Serializable
  - Serialized Fields
    - helper
```
LSTMHelper helper
```
    - cachedFwdPass
```
FwdPassReturn cachedFwdPass
```
- Class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer extends BaseWrapperLayer implements Serializable
  
  serialVersionUID:
  
  -7369482676002469854L
  - Serialized Fields
    - maskingValue
```
double maskingValue
```
- Class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer extends BaseLayer<RnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
```
INDArray labels
```
- Class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer extends BaseOutputLayer<RnnOutputLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.SimpleRnn extends BaseRecurrentLayer<SimpleRnn> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.TimeDistributedLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
```
RNNFormat rnnDataFormat
```
Package org.deeplearning4j.nn.layers.samediff
- Class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - config
```
SameDiffVertex config
```
    - sameDiff
```
SameDiff sameDiff
```
    - outputVar
```
SDVariable outputVar
```
    - fn
```
ExternalErrorsFunction fn
```
    - outputKey
```
String outputKey
```
    - inputVars
```
Map<K,V> inputVars
```
    - maskArrays
```
INDArray[] maskArrays
```
    - params
```
INDArray params
```
    - gradients
```
INDArray gradients
```
    - paramTable
```
Map<K,V> paramTable
```
    - gradTable
```
Map<K,V> gradTable
```
    - currentMaskState
```
MaskState currentMaskState
```
    - minibatchSize
```
int minibatchSize
```
- Class org.deeplearning4j.nn.layers.samediff.SameDiffLayer extends AbstractLayer<AbstractSameDiffLayer> implements Serializable
  - Serialized Fields
    - sameDiff
```
SameDiff sameDiff
```
    - outputVar
```
SDVariable outputVar
```
    - fn
```
ExternalErrorsFunction fn
```
    - outputKey
```
String outputKey
```
    - params
```
INDArray params
```
    - gradients
```
INDArray gradients
```
    - paramTable
```
Map<K,V> paramTable
```
    - gradTable
```
Map<K,V> gradTable
```
- Class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer extends AbstractLayer<SameDiffOutputLayer> implements Serializable
  - Serialized Fields
    - sameDiff
```
SameDiff sameDiff
```
    - outputVar
```
SDVariable outputVar
```
    - outputKey
```
String outputKey
```
    - labels
```
INDArray labels
```
    - params
```
INDArray params
```
    - gradients
```
INDArray gradients
```
    - paramTable
```
Map<K,V> paramTable
```
    - gradTable
```
Map<K,V> gradTable
```
Package org.deeplearning4j.nn.layers.training
- Class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer extends BaseOutputLayer<CenterLossOutputLayer> implements Serializable
  - Serialized Fields
    - fullNetRegTerm
```
double fullNetRegTerm
```
Package org.deeplearning4j.nn.layers.util
- Class org.deeplearning4j.nn.layers.util.IdentityLayer extends SameDiffLambdaLayer implements Serializable
- Class org.deeplearning4j.nn.layers.util.MaskLayer extends AbstractLayer<MaskLayer> implements Serializable
  - Serialized Fields
    - emptyGradient
```
Gradient emptyGradient
```

Package org.deeplearning4j.nn.layers.variational

Class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder extends Object implements Serializable

Serialized Fields

input
```
INDArray input
```
paramsFlattened
```
INDArray paramsFlattened
```
gradientsFlattened
```
INDArray gradientsFlattened
```
params
```
Map<K,V> params
```
conf
```
NeuralNetConfiguration conf
```
score
```
double score
```
optimizer
```
ConvexOptimizer optimizer
```
gradient
```
Gradient gradient
```
trainingListeners
```
Collection<E> trainingListeners
```
index
```
int index
```
maskArray
```
INDArray maskArray
```
solver
```
Solver solver
```
encoderLayerSizes
```
int[] encoderLayerSizes
```
decoderLayerSizes
```
int[] decoderLayerSizes
```

reconstructionDistribution

ReconstructionDistribution reconstructionDistribution

pzxActivationFn
```
IActivation pzxActivationFn
```
numSamples
```
int numSamples
```
cacheMode
```
CacheMode cacheMode
```
dataType
```
DataType dataType
```
zeroedPretrainParamGradients
```
boolean zeroedPretrainParamGradients
```
weightNoiseParams
```
Map<K,V> weightNoiseParams
```
iterationCount
```
int iterationCount
```
epochCount
```
int epochCount
```

Package org.deeplearning4j.nn.layers.wrapper
- Class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer extends Object implements Serializable
  - Serialized Fields
    - underlying
```
Layer underlying
```

Package org.deeplearning4j.nn.multilayer

Class org.deeplearning4j.nn.multilayer.MultiLayerNetwork extends Object implements Serializable

Serialization Methods

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Throws:: ClassNotFoundException; IOException

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Throws:: IOException

Serialized Fields

layers
```
Layer[] layers
```
layerMap
```
LinkedHashMap<K,V> layerMap
```
input
```
INDArray input
```
labels
```
INDArray labels
```
initCalled
```
boolean initCalled
```
trainingListeners
```
Collection<E> trainingListeners
```

defaultConfiguration

NeuralNetConfiguration defaultConfiguration

layerWiseConfigurations

MultiLayerConfiguration layerWiseConfigurations

gradient
```
Gradient gradient
```
score
```
double score
```
initDone
```
boolean initDone
```
flattenedParams
```
INDArray flattenedParams
```
clearTbpttState
```
boolean clearTbpttState
```
mask
```
INDArray mask
```
layerIndex
```
int layerIndex
```

WS_LAYER_WORKING_MEM_CONFIG

WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG

WS_LAYER_ACT_X_CONFIG

WorkspaceConfiguration WS_LAYER_ACT_X_CONFIG

Package org.deeplearning4j.nn.updater
- Class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater extends Object implements Serializable
  - Serialized Fields
    - network
```
Model network
```
    - layersByName
```
Map<K,V> layersByName
```
    - updaterBlocks
```
List<E> updaterBlocks
```
    - updaterStateViewArray
```
INDArray updaterStateViewArray
```
    - initializedMinibatchDivision
```
boolean initializedMinibatchDivision
```
    - gradientsForMinibatchDivision
```
List<E> gradientsForMinibatchDivision
```
- Class org.deeplearning4j.nn.updater.LayerUpdater extends BaseMultiLayerUpdater<Layer> implements Serializable
- Class org.deeplearning4j.nn.updater.MultiLayerUpdater extends BaseMultiLayerUpdater<MultiLayerNetwork> implements Serializable
Package org.deeplearning4j.nn.updater.graph
- Class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater extends BaseMultiLayerUpdater<ComputationGraph> implements Serializable
  - Serialized Fields
    - orderedLayers
```
Trainable[] orderedLayers
```
Package org.deeplearning4j.nn.weights
- Class org.deeplearning4j.nn.weights.WeightInitConstant extends Object implements Serializable
  - Serialized Fields
    - value
```
double value
```
- Class org.deeplearning4j.nn.weights.WeightInitDistribution extends Object implements Serializable
  - Serialized Fields
    - distribution
```
Distribution distribution
```
- Class org.deeplearning4j.nn.weights.WeightInitIdentity extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitLecunUniform extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitNormal extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitRelu extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitReluUniform extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitSigmoidUniform extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitUniform extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingNormalFanAvg extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingNormalFanIn extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingNormalFanOut extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingUniformFanAvg extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingUniformFanIn extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitVarScalingUniformFanOut extends Object implements Serializable
  - Serialized Fields
    - scale
```
Double scale
```
- Class org.deeplearning4j.nn.weights.WeightInitXavier extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitXavierLegacy extends Object implements Serializable
- Class org.deeplearning4j.nn.weights.WeightInitXavierUniform extends Object implements Serializable
Package org.deeplearning4j.nn.weights.embeddings
- Class org.deeplearning4j.nn.weights.embeddings.ArrayEmbeddingInitializer extends Object implements Serializable
  - Serialized Fields
    - embeddings
```
INDArray embeddings
```
- Class org.deeplearning4j.nn.weights.embeddings.WeightInitEmbedding extends Object implements Serializable
  - Serialized Fields
    - serializableInit
```
EmbeddingInitializer serializableInit
```
    - nonSerializableInit
```
EmbeddingInitializer nonSerializableInit
```
Package org.deeplearning4j.optimize.api
- Class org.deeplearning4j.optimize.api.IterationListener extends BaseTrainingListener implements Serializable
Package org.deeplearning4j.optimize.listeners
- Class org.deeplearning4j.optimize.listeners.Checkpoint extends Object implements Serializable
  - Serialized Fields
    - checkpointNum
```
int checkpointNum
```
    - timestamp
```
long timestamp
```
    - iteration
```
int iteration
```
    - epoch
```
int epoch
```
    - modelType
```
String modelType
```
    - filename
```
String filename
```
- Class org.deeplearning4j.optimize.listeners.CheckpointListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - rootDir
```
File rootDir
```
    - keepMode
```
org.deeplearning4j.optimize.listeners.CheckpointListener.KeepMode keepMode
```
    - keepLast
```
int keepLast
```
    - keepEvery
```
int keepEvery
```
    - logSaving
```
boolean logSaving
```
    - deleteExisting
```
boolean deleteExisting
```
    - saveEveryNEpochs
```
Integer saveEveryNEpochs
```
    - saveEveryNIterations
```
Integer saveEveryNIterations
```
    - saveEveryNIterSinceLast
```
boolean saveEveryNIterSinceLast
```
    - saveEveryAmount
```
Long saveEveryAmount
```
    - saveEveryUnit
```
TimeUnit saveEveryUnit
```
    - saveEveryMs
```
Long saveEveryMs
```
    - saveEverySinceLast
```
boolean saveEverySinceLast
```
    - lastCheckpointNum
```
int lastCheckpointNum
```
    - checkpointRecordFile
```
File checkpointRecordFile
```
    - lastCheckpoint
```
Checkpoint lastCheckpoint
```
    - startTime
```
long startTime
```
    - startIter
```
int startIter
```
    - lastSaveEveryMsNoSinceLast
```
Long lastSaveEveryMsNoSinceLast
```
- Class org.deeplearning4j.optimize.listeners.CollectScoresListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - frequency
```
int frequency
```
    - logScore
```
boolean logScore
```
    - listIteration
```
it.unimi.dsi.fastutil.ints.IntArrayList listIteration
```
    - listScore
```
it.unimi.dsi.fastutil.doubles.DoubleArrayList listScore
```
- Class org.deeplearning4j.optimize.listeners.ComposableIterationListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - listeners
```
Collection<E> listeners
```
      Deprecated.
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener extends Object implements Serializable
  - Serialized Fields
    - trigger
```
FailureTestingListener.FailureTrigger trigger
```
    - failureMode
```
FailureTestingListener.FailureMode failureMode
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.And extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - triggers
```
List<E> triggers
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.FailureTrigger extends Object implements Serializable
  - Serialized Fields
    - initialized
```
boolean initialized
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.HostNameTrigger extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - hostName
```
String hostName
```
    - shouldFail
```
boolean shouldFail
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.IterationEpochTrigger extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - isEpoch
```
boolean isEpoch
```
    - count
```
int count
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.Or extends FailureTestingListener.And implements Serializable
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.RandomProb extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - callType
```
FailureTestingListener.CallType callType
```
    - probability
```
double probability
```
    - rng
```
Random rng
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.TimeSinceInitializedTrigger extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - msSinceInit
```
long msSinceInit
```
    - initTime
```
long initTime
```
- Class org.deeplearning4j.optimize.listeners.FailureTestingListener.UserNameTrigger extends FailureTestingListener.FailureTrigger implements Serializable
  - Serialized Fields
    - userName
```
String userName
```
    - shouldFail
```
boolean shouldFail
```
- Class org.deeplearning4j.optimize.listeners.PerformanceListener extends BaseTrainingListener implements Serializable
  - Serialization Methods
    - readObject
```
private void readObject(ObjectInputStream in)
                 throws IOException,
                        ClassNotFoundException
```
      Throws:
      
      IOException
      
      ClassNotFoundException
  - Serialized Fields
    - frequency
```
int frequency
```
    - reportScore
```
boolean reportScore
```
    - reportGC
```
boolean reportGC
```
    - reportSample
```
boolean reportSample
```
    - reportBatch
```
boolean reportBatch
```
    - reportIteration
```
boolean reportIteration
```
    - reportEtl
```
boolean reportEtl
```
    - reportTime
```
boolean reportTime
```
- Class org.deeplearning4j.optimize.listeners.ScoreIterationListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - printIterations
```
int printIterations
```
- Class org.deeplearning4j.optimize.listeners.SleepyTrainingListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - timerEE
```
long timerEE
```
    - timerES
```
long timerES
```
    - timerFF
```
long timerFF
```
    - timerBP
```
long timerBP
```
    - timerIteration
```
long timerIteration
```
    - sleepMode
```
SleepyTrainingListener.SleepMode sleepMode
```
    - timeMode
```
SleepyTrainingListener.TimeMode timeMode
```
- Class org.deeplearning4j.optimize.listeners.TimeIterationListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - start
```
long start
```
    - iterationCount
```
int iterationCount
```
    - iterationCounter
```
AtomicLong iterationCounter
```
Package org.deeplearning4j.optimize.solvers
- Class org.deeplearning4j.optimize.solvers.BackTrackLineSearch extends Object implements Serializable
  - Serialized Fields
    - layer
```
Model layer
```
    - stepFunction
```
StepFunction stepFunction
```
    - optimizer
```
ConvexOptimizer optimizer
```
    - maxIterations
```
int maxIterations
```
    - stepMax
```
double stepMax
```
    - minObjectiveFunction
```
boolean minObjectiveFunction
```
    - relTolx
```
double relTolx
```
    - absTolx
```
double absTolx
```
    - ALF
```
double ALF
```
- Class org.deeplearning4j.optimize.solvers.BaseOptimizer extends Object implements Serializable
  - Serialized Fields
    - conf
```
NeuralNetConfiguration conf
```
    - stepFunction
```
StepFunction stepFunction
```
    - trainingListeners
```
Collection<E> trainingListeners
```
    - model
```
Model model
```
    - lineMaximizer
```
BackTrackLineSearch lineMaximizer
```
    - updater
```
Updater updater
```
    - computationGraphUpdater
```
ComputationGraphUpdater computationGraphUpdater
```
    - step
```
double step
```
    - batchSize
```
int batchSize
```
    - score
```
double score
```
    - oldScore
```
double oldScore
```
    - stepMax
```
double stepMax
```
    - searchState
```
Map<K,V> searchState
```
    - accumulator
```
GradientsAccumulator accumulator
```
- Class org.deeplearning4j.optimize.solvers.ConjugateGradient extends BaseOptimizer implements Serializable
  
  serialVersionUID:
  
  -1269296013474864091L
- Class org.deeplearning4j.optimize.solvers.LBFGS extends BaseOptimizer implements Serializable
  
  serialVersionUID:
  
  9148732140255034888L
  - Serialized Fields
    - m
```
int m
```
- Class org.deeplearning4j.optimize.solvers.LineGradientDescent extends BaseOptimizer implements Serializable
  
  serialVersionUID:
  
  6336124657542062284L
- Class org.deeplearning4j.optimize.solvers.StochasticGradientDescent extends BaseOptimizer implements Serializable

Package org.deeplearning4j.optimize.solvers.accumulation

Class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator extends Object implements Serializable
- Serialized Fields
  - handler
```
MessageHandler handler
```
  - shape
```
long[] shape
```
  - ordering
```
char ordering
```
  - parties
```
int parties
```
  - barrier
```
CyclicBarrier barrier
```
  - firstOne
```
AtomicLong firstOne
```
  - candidates
```
List<E> candidates
```
  - updatesLock
```
ReentrantReadWriteLock updatesLock
```
  - hasSomething
```
AtomicBoolean hasSomething
```

Class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator extends Object implements Serializable

Serialized Fields

accumulator
```
ThreadLocal<T> accumulator
```
parties
```
int parties
```
handler
```
MessageHandler handler
```
messages
```
List<E> messages
```
workspaces
```
List<E> workspaces
```
locks
```
List<E> locks
```
workersCounter
```
AtomicInteger workersCounter
```
index
```
ThreadLocal<T> index
```
initialMemory
```
long initialMemory
```
queueSize
```
int queueSize
```
boundary
```
Integer boundary
```
encodingDebugMode
```
boolean encodingDebugMode
```
externalSource
```
IndexedTail externalSource
```
isFirst
```
AtomicBoolean isFirst
```
isDone
```
AtomicBoolean isDone
```
barrier
```
AtomicInteger barrier
```
secondary
```
AtomicInteger secondary
```
registered
```
AtomicBoolean registered
```
bypassMode
```
AtomicBoolean bypassMode
```
currentConsumers
```
AtomicInteger currentConsumers
```
throwable
```
AtomicThrowable throwable
```
isDebug
```
boolean isDebug
```
relocatable
```
boolean relocatable
```
updatesApplied
```
ThreadLocal<T> updatesApplied
```
externalUpdatesAvailable
```
AtomicBoolean externalUpdatesAvailable
```

appliedConfiguration

WorkspaceConfiguration appliedConfiguration

Class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler extends Object implements Serializable

Serialized Fields

initialThresholdAlgorithm

ThresholdAlgorithm initialThresholdAlgorithm

initialResidualPostProcessor

ResidualPostProcessor initialResidualPostProcessor

boundary
```
Integer boundary
```
encodingDebugMode
```
boolean encodingDebugMode
```
atomicBoundary
```
AtomicInteger atomicBoundary
```
thresholdAlgorithm
```
ThreadLocal<T> thresholdAlgorithm
```
allThreadThresholdAlgorithms
```
Map<K,V> allThreadThresholdAlgorithms
```
residualPostProcessor
```
ThreadLocal<T> residualPostProcessor
```
iterations
```
ThreadLocal<T> iterations
```
lastStep
```
ThreadLocal<T> lastStep
```
lastThreshold
```
ThreadLocal<T> lastThreshold
```
lastSparsityRatio
```
ThreadLocal<T> lastSparsityRatio
```
currentThreshold
```
ThreadLocal<T> currentThreshold
```
bitmapMode
```
ThreadLocal<T> bitmapMode
```
lastIterWasDense
```
ThreadLocal<T> lastIterWasDense
```
lastThresholdLogTime
```
AtomicLong lastThresholdLogTime
```

Class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler extends Object implements Serializable

Package org.deeplearning4j.optimize.solvers.accumulation.encoding
Package org.deeplearning4j.optimize.solvers.accumulation.encoding.residual
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.residual.NoOpResidualPostProcessor extends Object implements Serializable
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.residual.ResidualClippingPostProcessor extends Object implements Serializable
  - Serialized Fields
    - thresholdMultipleClipValue
```
double thresholdMultipleClipValue
```
    - frequency
```
int frequency
```
Package org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - initialThreshold
```
double initialThreshold
```
    - minTargetSparsity
```
double minTargetSparsity
```
    - maxTargetSparsity
```
double maxTargetSparsity
```
    - decayRate
```
double decayRate
```
    - lastThreshold
```
double lastThreshold
```
    - lastSparsity
```
double lastSparsity
```
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - threshold
```
double threshold
```
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm.FixedAlgorithmThresholdReducer extends Object implements Serializable
  - Serialized Fields
    - instance
```
FixedThresholdAlgorithm instance
```
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.TargetSparsityThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - initialThreshold
```
double initialThreshold
```
    - sparsityTarget
```
double sparsityTarget
```
    - decayRate
```
double decayRate
```
    - lastThreshold
```
double lastThreshold
```
    - lastSparsity
```
double lastSparsity
```
Package org.deeplearning4j.optimize.stepfunctions
- Class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction extends Object implements Serializable
  
  serialVersionUID:
  
  -4707790524365648985L
- Class org.deeplearning4j.optimize.stepfunctions.GradientStepFunction extends Object implements Serializable
- Class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction extends Object implements Serializable
- Class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction extends Object implements Serializable

Serialized Form

Package org.deeplearning4j.earlystopping

Class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration extends Object implements Serializable

Serialized Fields

modelSaver

epochTerminationConditions

iterationTerminationConditions

saveLastModel

evaluateEveryNEpochs

scoreCalculator

scoreCalculatorSupplier

Class org.deeplearning4j.earlystopping.EarlyStoppingResult extends Object implements Serializable

Serialized Fields

terminationReason

terminationDetails

scoreVsEpoch

bestModelEpoch

bestModelScore

totalEpochs

bestModel

Package org.deeplearning4j.earlystopping.saver

Class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver extends Object implements Serializable

Class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver extends Object implements Serializable

Serialized Fields

directory

encoding

Class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver extends Object implements Serializable

Serialized Fields

directory

encoding

Package org.deeplearning4j.earlystopping.scorecalc

Class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator extends BaseScoreCalculator<Model> implements Serializable

Serialized Fields

metric

evaluation

Class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator extends BaseIEvaluationScoreCalculator<Model,Evaluation> implements Serializable

Serialized Fields

metric

Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator extends BaseScoreCalculator<Model> implements Serializable

Serialized Fields

average

Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG extends Object implements Serializable

Serialized Fields

dataSetIterator

multiDataSetIterator

average

Class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator extends BaseIEvaluationScoreCalculator<Model,RegressionEvaluation> implements Serializable

Serialized Fields

metric

Class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator extends BaseIEvaluationScoreCalculator<Model,IEvaluation> implements Serializable

Serialized Fields

type

metric

Class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator extends BaseScoreCalculator<Model> implements Serializable

Serialized Fields

metric

evaluation

Class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator extends BaseScoreCalculator<Model> implements Serializable

Serialized Fields

reconstructionProbNumSamples

logProb

average

Package org.deeplearning4j.earlystopping.scorecalc.base

Class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator extends Object implements Serializable

Serialized Fields

iterator

iter

Class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator extends BaseScoreCalculator<MultiLayerNetwork> implements Serializable

Class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator extends Object implements Serializable

Serialized Fields

mdsIterator

iterator

scoreSum

minibatchCount

exampleCount

Package org.deeplearning4j.earlystopping.termination

Class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition extends Object implements Serializable

Serialized Fields

bestExpectedScore

Class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition extends Object implements Serializable