Serialized Form (deeplearning4j-nn 1.0.0-beta API)

Package org.deeplearning4j.datasets.iterator.impl
- Class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - baseFeatures
```
org.nd4j.linalg.api.ndarray.INDArray baseFeatures
```
    - baseLabels
```
org.nd4j.linalg.api.ndarray.INDArray baseLabels
```
    - limit
```
long limit
```
    - counter
```
AtomicLong counter
```
- Class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - baseFeatures
```
org.nd4j.linalg.api.ndarray.INDArray[] baseFeatures
```
    - baseLabels
```
org.nd4j.linalg.api.ndarray.INDArray[] baseLabels
```
    - limit
```
long limit
```
    - counter
```
AtomicLong counter
```
- Class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable
  - Serialized Fields
    - loader
```
org.datavec.image.loader.CifarLoader loader
```
    - numExamples
```
int numExamples
```
    - useSpecialPreProcessCifar
```
boolean useSpecialPreProcessCifar
```
    - train
```
boolean train
```
    - imageTransform
```
org.datavec.image.transform.ImageTransform imageTransform
```
    - exampleCount
```
int exampleCount
```
    - overshot
```
boolean overshot
```
- Class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable
  - Serialized Fields
    - dataSet
```
EmnistDataSetIterator.Set dataSet
```
    - batch
```
int batch
```
    - numExamples
```
int numExamples
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable
  
  serialVersionUID:
  
  -2022454995728680368L
- Class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator extends Object implements Serializable
  
  serialVersionUID:
  
  -7569201667767185411L
  - Serialized Fields
    - curr
```
int curr
```
    - batch
```
int batch
```
    - list
```
List<E> list
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher extends org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher implements Serializable
  - Serialized Fields
    - data
```
org.nd4j.linalg.dataset.DataSet data
```
    - windowRows
```
int windowRows
```
    - windowColumns
```
int windowColumns
```
    - cursor
```
int cursor
```
- Class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter extends Object implements Serializable
  - Serialized Fields
    - iter
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.impl.RawMnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - multiDataSet
```
org.nd4j.linalg.dataset.api.MultiDataSet multiDataSet
```
    - hasNext
```
boolean hasNext
```
    - preprocessed
```
boolean preprocessed
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable
  - Serialized Fields
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator extends org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator implements Serializable
  - Serialized Fields
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
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
```
org.nd4j.linalg.function.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
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator dataSetIterator
```
      Deprecated.
    - multiDataSetIterator
```
org.nd4j.linalg.dataset.api.iterator.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
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator
```
    - iter
```
org.nd4j.linalg.dataset.api.iterator.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
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator mdsIterator
```
    - iterator
```
org.nd4j.linalg.dataset.api.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
```
    - lesserBetter
```
boolean lesserBetter
```
- 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 Object implements Serializable
Class org.deeplearning4j.eval.ConfusionMatrix extends Object implements Serializable
- Serialized Fields
  - matrix
```
Map<K,V> matrix
```
  - classes
```
List<E> classes
```

Class org.deeplearning4j.eval.Evaluation extends BaseEvaluation<Evaluation> implements Serializable

Serialized Fields

binaryPositiveClass
```
Integer binaryPositiveClass
```
topN
```
int topN
```
topNCorrectCount
```
int topNCorrectCount
```
topNTotalCount
```
int topNTotalCount
```

truePositives

org.nd4j.linalg.primitives.Counter<T> truePositives

falsePositives

org.nd4j.linalg.primitives.Counter<T> falsePositives

trueNegatives

org.nd4j.linalg.primitives.Counter<T> trueNegatives

falseNegatives

org.nd4j.linalg.primitives.Counter<T> falseNegatives

confusion

ConfusionMatrix<T extends Comparable<? super T>> confusion

numRowCounter
```
int numRowCounter
```
labelsList
```
List<E> labelsList
```
binaryDecisionThreshold
```
Double binaryDecisionThreshold
```

costArray

org.nd4j.linalg.api.ndarray.INDArray costArray

confusionMatrixMetaData
```
Map<K,V> confusionMatrixMetaData
```

Class org.deeplearning4j.eval.EvaluationBinary extends BaseEvaluation<EvaluationBinary> implements Serializable
- Serialized Fields
  - countTruePositive
```
int[] countTruePositive
```
  - countFalsePositive
```
int[] countFalsePositive
```
  - countTrueNegative
```
int[] countTrueNegative
```
  - countFalseNegative
```
int[] countFalseNegative
```
  - rocBinary
```
ROCBinary rocBinary
```
  - labels
```
List<E> labels
```
  - decisionThreshold
```
org.nd4j.linalg.api.ndarray.INDArray decisionThreshold
```

Class org.deeplearning4j.eval.EvaluationCalibration extends BaseEvaluation<EvaluationCalibration> implements Serializable

Serialized Fields

reliabilityDiagNumBins
```
int reliabilityDiagNumBins
```
histogramNumBins
```
int histogramNumBins
```
excludeEmptyBins
```
boolean excludeEmptyBins
```

rDiagBinPosCount

org.nd4j.linalg.api.ndarray.INDArray rDiagBinPosCount

rDiagBinTotalCount

org.nd4j.linalg.api.ndarray.INDArray rDiagBinTotalCount

rDiagBinSumPredictions

org.nd4j.linalg.api.ndarray.INDArray rDiagBinSumPredictions

labelCountsEachClass

org.nd4j.linalg.api.ndarray.INDArray labelCountsEachClass

predictionCountsEachClass

org.nd4j.linalg.api.ndarray.INDArray predictionCountsEachClass

residualPlotOverall

org.nd4j.linalg.api.ndarray.INDArray residualPlotOverall

residualPlotByLabelClass

org.nd4j.linalg.api.ndarray.INDArray residualPlotByLabelClass

probHistogramOverall

org.nd4j.linalg.api.ndarray.INDArray probHistogramOverall

probHistogramByLabelClass

org.nd4j.linalg.api.ndarray.INDArray probHistogramByLabelClass

Class org.deeplearning4j.eval.RegressionEvaluation extends BaseEvaluation<RegressionEvaluation> implements Serializable

Serialized Fields

initialized
```
boolean initialized
```
columnNames
```
List<E> columnNames
```
precision
```
int precision
```

exampleCountPerColumn

org.nd4j.linalg.api.ndarray.INDArray exampleCountPerColumn

labelsSumPerColumn

org.nd4j.linalg.api.ndarray.INDArray labelsSumPerColumn

sumSquaredErrorsPerColumn

org.nd4j.linalg.api.ndarray.INDArray sumSquaredErrorsPerColumn

sumAbsErrorsPerColumn

org.nd4j.linalg.api.ndarray.INDArray sumAbsErrorsPerColumn

currentMean

org.nd4j.linalg.api.ndarray.INDArray currentMean

currentPredictionMean

org.nd4j.linalg.api.ndarray.INDArray currentPredictionMean

sumOfProducts

org.nd4j.linalg.api.ndarray.INDArray sumOfProducts

sumSquaredLabels

org.nd4j.linalg.api.ndarray.INDArray sumSquaredLabels

sumSquaredPredicted

org.nd4j.linalg.api.ndarray.INDArray sumSquaredPredicted

sumLabels

org.nd4j.linalg.api.ndarray.INDArray sumLabels

Class org.deeplearning4j.eval.ROC extends BaseEvaluation<ROC> implements Serializable

Serialized Fields

thresholdSteps
```
int thresholdSteps
```
countActualPositive
```
long countActualPositive
```
countActualNegative
```
long countActualNegative
```
counts
```
Map<K,V> counts
```
auc
```
Double auc
```
auprc
```
Double auprc
```
rocCurve
```
RocCurve rocCurve
```
prCurve
```
PrecisionRecallCurve prCurve
```
isExact
```
boolean isExact
```

probAndLabel

org.nd4j.linalg.api.ndarray.INDArray probAndLabel

exampleCount
```
int exampleCount
```
rocRemoveRedundantPts
```
boolean rocRemoveRedundantPts
```
exactAllocBlockSize
```
int exactAllocBlockSize
```

Class org.deeplearning4j.eval.ROC.CountsForThreshold extends Object implements Serializable
- Serialized Fields
  - threshold
```
double threshold
```
  - countTruePositive
```
long countTruePositive
```
  - countFalsePositive
```
long countFalsePositive
```
Class org.deeplearning4j.eval.ROCBinary extends BaseEvaluation<ROCBinary> implements Serializable
- Serialized Fields
  - underlying
```
ROC[] underlying
```
  - thresholdSteps
```
int thresholdSteps
```
  - rocRemoveRedundantPts
```
boolean rocRemoveRedundantPts
```
  - labels
```
List<E> labels
```
Class org.deeplearning4j.eval.ROCMultiClass extends BaseEvaluation<ROCMultiClass> implements Serializable
- Serialized Fields
  - thresholdSteps
```
int thresholdSteps
```
  - rocRemoveRedundantPts
```
boolean rocRemoveRedundantPts
```
  - underlying
```
ROC[] underlying
```
  - labels
```
List<E> labels
```

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.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
```
    - networkInputs
```
List<E> networkInputs
```
      List of inputs to the network, by name
    - networkOutputs
```
List<E> networkOutputs
```
      List of network outputs, by name
    - pretrain
```
boolean pretrain
```
    - backprop
```
boolean backprop
```
    - 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
```
    - pretrain
```
boolean pretrain
```
    - backprop
```
boolean backprop
```
    - backpropType
```
BackpropType backpropType
```
    - tbpttFwdLength
```
int tbpttFwdLength
```
    - tbpttBackLength
```
int tbpttBackLength
```
    - trainingWorkspaceMode
```
WorkspaceMode trainingWorkspaceMode
```
    - inferenceWorkspaceMode
```
WorkspaceMode inferenceWorkspaceMode
```
    - cacheMode
```
CacheMode cacheMode
```
    - 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
```
    - l1ByParam
```
Map<K,V> l1ByParam
```
    - l2ByParam
```
Map<K,V> l2ByParam
```
    - pretrain
```
boolean pretrain
```
    - cacheMode
```
CacheMode cacheMode
```
    - 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
```
org.nd4j.linalg.schedule.ISchedule pSchedule
```
    - alpha
```
double alpha
```
    - lambda
```
double lambda
```
    - lastPValue
```
double lastPValue
```
    - alphaPrime
```
double alphaPrime
```
    - a
```
double a
```
    - b
```
double b
```
- Class org.deeplearning4j.nn.conf.dropout.Dropout extends Object implements Serializable
  - Serialized Fields
    - p
```
double p
```
    - pSchedule
```
org.nd4j.linalg.schedule.ISchedule pSchedule
```
- Class org.deeplearning4j.nn.conf.dropout.GaussianDropout extends Object implements Serializable
  - Serialized Fields
    - rate
```
double rate
```
    - rateSchedule
```
org.nd4j.linalg.schedule.ISchedule rateSchedule
```
- Class org.deeplearning4j.nn.conf.dropout.GaussianNoise extends Object implements Serializable
  - Serialized Fields
    - stddev
```
double stddev
```
    - stddevSchedule
```
org.nd4j.linalg.schedule.ISchedule stddevSchedule
```
- Class org.deeplearning4j.nn.conf.dropout.SpatialDropout extends Object implements Serializable
  - Serialized Fields
    - p
```
double p
```
    - pSchedule
```
org.nd4j.linalg.schedule.ISchedule pSchedule
```
Package org.deeplearning4j.nn.conf.graph
- 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
- 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
```
int height
```
    - width
```
int width
```
    - channels
```
int channels
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D extends InputType implements Serializable
  - Serialized Fields
    - depth
```
int depth
```
    - height
```
int height
```
    - width
```
int width
```
    - channels
```
int channels
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat extends InputType implements Serializable
  - Serialized Fields
    - height
```
int height
```
    - width
```
int width
```
    - depth
```
int depth
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward extends InputType implements Serializable
  - Serialized Fields
    - size
```
int size
```
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent extends InputType implements Serializable
  - Serialized Fields
    - size
```
int size
```
    - timeSeriesLength
```
int timeSeriesLength
```
- 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
```
org.nd4j.linalg.activations.IActivation gateActivationFn
```
- Class org.deeplearning4j.nn.conf.layers.ActivationLayer extends Layer implements Serializable
  - Serialized Fields
    - activationFn
```
org.nd4j.linalg.activations.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
```
org.nd4j.linalg.activations.IActivation activationFn
```
    - weightInit
```
WeightInit weightInit
```
    - biasInit
```
double biasInit
```
    - dist
```
Distribution dist
```
    - l1
```
double l1
```
    - l2
```
double l2
```
    - l1Bias
```
double l1Bias
```
    - l2Bias
```
double l2Bias
```
    - iUpdater
```
org.nd4j.linalg.learning.config.IUpdater iUpdater
```
    - biasUpdater
```
org.nd4j.linalg.learning.config.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
```
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
```
    - hasBias
```
boolean hasBias
```
- Class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFunction
```
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
```
    - visibleBiasInit
```
double visibleBiasInit
```
- Class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - weightInitRecurrent
```
WeightInit weightInitRecurrent
```
    - distRecurrent
```
Distribution distRecurrent
```
- Class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer extends Layer 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
```
- 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.CnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
```
- Class org.deeplearning4j.nn.conf.layers.Convolution1D extends Convolution1DLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Convolution1DLayer extends ConvolutionLayer implements Serializable
- 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
```
    - 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.DenseLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - 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
```
- Class org.deeplearning4j.nn.conf.layers.FeedForwardLayer extends BaseLayer implements Serializable
  - Serialized Fields
    - nIn
```
int nIn
```
    - nOut
```
int nOut
```
- Class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer extends Layer 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
```
org.nd4j.linalg.activations.IActivation gateActivationFn
```
      Deprecated.
- Class org.deeplearning4j.nn.conf.layers.GravesLSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
    - gateActivationFn
```
org.nd4j.linalg.activations.IActivation gateActivationFn
```
- 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.LocalResponseNormalization extends Layer implements Serializable
  - Serialized Fields
    - n
```
double n
```
    - k
```
double k
```
    - beta
```
double beta
```
    - alpha
```
double alpha
```
- Class org.deeplearning4j.nn.conf.layers.LossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
```
- Class org.deeplearning4j.nn.conf.layers.LSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
    - gateActivationFn
```
org.nd4j.linalg.activations.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.RnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
```
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
```
- Class org.deeplearning4j.nn.conf.layers.RnnOutputLayer extends BaseOutputLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - depthMultiplier
```
int depthMultiplier
```
- Class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer extends Layer implements Serializable
  - Serialized Fields
    - blocks
```
int[] blocks
```
    - padding
```
int[][] padding
```
- Class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer extends Layer implements Serializable
  - Serialized Fields
    - blockSize
```
int blockSize
```
    - dataFormat
```
SpaceToDepthLayer.DataFormat dataFormat
```
- Class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer extends Layer implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - poolingType
```
PoolingType poolingType
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - cudnnAllowFallback
```
boolean cudnnAllowFallback
```
- Class org.deeplearning4j.nn.conf.layers.SubsamplingLayer extends Layer 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
```
- 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
```
- Class org.deeplearning4j.nn.conf.layers.Upsampling3D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - size
```
int[] size
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer extends Layer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer extends Layer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
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
```
- 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
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
```
org.nd4j.linalg.lossfunctions.ILossFunction lossPositionScale
```
    - lossClassPredictions
```
org.nd4j.linalg.lossfunctions.ILossFunction lossClassPredictions
```
    - boundingBoxes
```
org.nd4j.linalg.api.ndarray.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
Package org.deeplearning4j.nn.conf.layers.samediff
- Class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer extends Layer implements Serializable
  - Serialized Fields
    - l1
```
double l1
```
    - l2
```
double l2
```
    - l1Bias
```
double l1Bias
```
    - l2Bias
```
double l2Bias
```
    - updater
```
org.nd4j.linalg.learning.config.IUpdater updater
```
    - biasUpdater
```
org.nd4j.linalg.learning.config.IUpdater biasUpdater
```
    - layerParams
```
SDLayerParams layerParams
```
- Class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer extends AbstractSameDiffLayer implements Serializable
  - Serialized Fields
    - weightInit
```
WeightInit weightInit
```
- 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
```
Package org.deeplearning4j.nn.conf.layers.util
- Class org.deeplearning4j.nn.conf.layers.util.MaskLayer extends Layer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer extends BaseWrapperLayer implements Serializable
  
  serialVersionUID:
  
  9074525846200921839L
Package org.deeplearning4j.nn.conf.layers.variational
- Class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
org.nd4j.linalg.activations.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
```
org.nd4j.linalg.activations.IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
org.nd4j.linalg.activations.IActivation activationFn
```
- Class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper extends Object implements Serializable
  - Serialized Fields
    - activationFn
```
org.nd4j.linalg.activations.IActivation activationFn
```
    - lossFunction
```
org.nd4j.linalg.lossfunctions.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
```
org.nd4j.linalg.activations.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
```
    - activation
```
org.nd4j.linalg.activations.IActivation activation
```
    - 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.BinomialSamplingPreProcessor extends BaseInputPreProcessor implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputDepth
```
int inputDepth
```
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - isNCDHW
```
boolean isNCDHW
```
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - product
```
int 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
```
int[] shape
```
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - shape
```
int[] shape
```
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
```
int inputHeight
```
    - inputWidth
```
int inputWidth
```
    - numChannels
```
int numChannels
```
    - product
```
int product
```
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - columnStds
```
org.nd4j.linalg.api.ndarray.INDArray columnStds
```
- Class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor extends BaseInputPreProcessor implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor extends BaseInputPreProcessor implements Serializable
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
```
org.nd4j.linalg.schedule.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
```
org.nd4j.linalg.api.ndarray.INDArray flattenedGradient
```
Package org.deeplearning4j.nn.graph
- Class org.deeplearning4j.nn.graph.ComputationGraph extends Object implements Serializable
  - Serialized Fields
    - configuration
```
ComputationGraphConfiguration configuration
```
    - initCalled
```
boolean initCalled
```
    - flattenedParams
```
org.nd4j.linalg.api.ndarray.INDArray flattenedParams
```
    - gradient
```
Gradient gradient
```
    - score
```
double score
```
    - initDone
```
boolean initDone
```
    - clearTbpttState
```
boolean clearTbpttState
```
    - WS_LAYER_WORKING_MEM_CONFIG
```
org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG
```
    - WS_LAYER_ACT_X_CONFIG
```
org.nd4j.linalg.api.memory.conf.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
```
org.nd4j.linalg.api.ndarray.INDArray[] inputs
```
    - epsilon
```
org.nd4j.linalg.api.ndarray.INDArray epsilon
```
    - outputVertex
```
boolean outputVertex
```
- 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
```
int[][] forwardPassShapes
```
    - fwdPassRank
```
int fwdPassRank
```
- 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
```
int[][] lastInputShapes
```
- Class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - from
```
int from
```
    - to
```
int to
```
    - forwardShape
```
int[] forwardShape
```
- Class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - from
```
int from
```
    - stackSize
```
int stackSize
```
    - forwardShape
```
int[] forwardShape
```
    - step
```
int 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
```
int[] 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
```
org.nd4j.linalg.api.ndarray.INDArray input
```
    - preOutput
```
org.nd4j.linalg.api.ndarray.INDArray preOutput
```
    - conf
```
NeuralNetConfiguration conf
```
    - dropoutMask
```
org.nd4j.linalg.api.ndarray.INDArray dropoutMask
```
    - dropoutApplied
```
boolean dropoutApplied
```
    - trainingListeners
```
Collection<E> trainingListeners
```
    - index
```
int index
```
    - maskArray
```
org.nd4j.linalg.api.ndarray.INDArray maskArray
```
    - maskState
```
MaskState maskState
```
    - cacheMode
```
CacheMode cacheMode
```
    - 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
```
org.nd4j.linalg.api.ndarray.INDArray paramsFlattened
```
    - gradientsFlattened
```
org.nd4j.linalg.api.ndarray.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
```
org.nd4j.linalg.api.ndarray.INDArray labels
```
    - fullNetworkL1
```
double fullNetworkL1
```
    - fullNetworkL2
```
double fullNetworkL2
```
    - inputMaskArray
```
org.nd4j.linalg.api.ndarray.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
```
org.nd4j.linalg.api.ndarray.INDArray labels
```
    - fullNetworkL1
```
double fullNetworkL1
```
    - fullNetworkL2
```
double fullNetworkL2
```
- Class org.deeplearning4j.nn.layers.OutputLayer extends BaseOutputLayer<OutputLayer> implements Serializable
Package org.deeplearning4j.nn.layers.convolution
- Class org.deeplearning4j.nn.layers.convolution.CnnLossLayer extends BaseLayer<CnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
```
org.nd4j.linalg.api.ndarray.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
```
org.nd4j.linalg.api.ndarray.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.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
  - Serialized Fields
    - padding
```
int[] padding
```
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.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
```
org.nd4j.linalg.api.ndarray.INDArray vector
```
    - prediction
```
org.nd4j.linalg.api.ndarray.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
Package org.deeplearning4j.nn.layers.normalization
- Class org.deeplearning4j.nn.layers.normalization.BatchNormalization extends BaseLayer<BatchNormalization> implements Serializable
  - Serialized Fields
    - helper
```
BatchNormalizationHelper helper
```
    - index
```
int index
```
    - listeners
```
List<E> listeners
```
    - std
```
org.nd4j.linalg.api.ndarray.INDArray std
```
    - xMu
```
org.nd4j.linalg.api.ndarray.INDArray xMu
```
    - xHat
```
org.nd4j.linalg.api.ndarray.INDArray xHat
```
- Class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization extends AbstractLayer<LocalResponseNormalization> implements Serializable
  - Serialized Fields
    - helper
```
LocalResponseNormalizationHelper helper
```
Package org.deeplearning4j.nn.layers.objdetect
- Class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer extends AbstractLayer<Yolo2OutputLayer> implements Serializable
  - Serialized Fields
    - labels
```
org.nd4j.linalg.api.ndarray.INDArray labels
```
    - fullNetworkL1
```
double fullNetworkL1
```
    - fullNetworkL2
```
double fullNetworkL2
```
    - score
```
double score
```
Package org.deeplearning4j.nn.layers.ocnn
- Class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer extends BaseOutputLayer<OCNNOutputLayer> implements Serializable
  - Serialized Fields
    - activation
```
org.nd4j.linalg.activations.IActivation activation
```
    - lossFunction
```
org.nd4j.linalg.lossfunctions.ILossFunction lossFunction
```
- 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
```
    - collapseDimensions
```
boolean collapseDimensions
```
    - poolingType
```
PoolingType poolingType
```
    - pNorm
```
int pNorm
```
Package org.deeplearning4j.nn.layers.recurrent
- Class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer extends BaseLayer<LayerConfT extends BaseLayer> 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
- Class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer extends Object implements Serializable
  - Serialized Fields
    - conf
```
NeuralNetConfiguration conf
```
    - fwd
```
RecurrentLayer fwd
```
    - bwd
```
RecurrentLayer bwd
```
    - layerConf
```
Bidirectional layerConf
```
    - paramsView
```
org.nd4j.linalg.api.ndarray.INDArray paramsView
```
    - gradientView
```
org.nd4j.linalg.api.ndarray.INDArray gradientView
```
    - input
```
org.nd4j.linalg.api.ndarray.INDArray input
```
    - outFwd
```
org.nd4j.linalg.api.ndarray.INDArray outFwd
```
    - outBwd
```
org.nd4j.linalg.api.ndarray.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
```
- Class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - lastTimeStepIdxs
```
int[] lastTimeStepIdxs
```
    - origOutputShape
```
int[] 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
- Class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer extends BaseLayer<RnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
```
org.nd4j.linalg.api.ndarray.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
Package org.deeplearning4j.nn.layers.samediff
- Class org.deeplearning4j.nn.layers.samediff.SameDiffLayer extends AbstractLayer<AbstractSameDiffLayer> implements Serializable
  - Serialized Fields
    - sameDiff
```
org.nd4j.autodiff.samediff.SameDiff sameDiff
```
    - outputKeys
```
List<E> outputKeys
```
    - params
```
org.nd4j.linalg.api.ndarray.INDArray params
```
    - gradients
```
org.nd4j.linalg.api.ndarray.INDArray gradients
```
    - paramTable
```
Map<K,V> paramTable
```
Package org.deeplearning4j.nn.layers.training
- Class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer extends BaseOutputLayer<CenterLossOutputLayer> implements Serializable
  - Serialized Fields
    - fullNetworkL1
```
double fullNetworkL1
```
    - fullNetworkL2
```
double fullNetworkL2
```
Package org.deeplearning4j.nn.layers.util
- 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

org.nd4j.linalg.api.ndarray.INDArray input

paramsFlattened

org.nd4j.linalg.api.ndarray.INDArray paramsFlattened

gradientsFlattened

org.nd4j.linalg.api.ndarray.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

org.nd4j.linalg.api.ndarray.INDArray maskArray

solver
```
Solver solver
```
encoderLayerSizes
```
int[] encoderLayerSizes
```
decoderLayerSizes
```
int[] decoderLayerSizes
```

reconstructionDistribution

ReconstructionDistribution reconstructionDistribution

pzxActivationFn

org.nd4j.linalg.activations.IActivation pzxActivationFn

numSamples
```
int numSamples
```
cacheMode
```
CacheMode cacheMode
```
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

Serialized Fields

layers
```
Layer[] layers
```
layerMap
```
LinkedHashMap<K,V> layerMap
```

input

org.nd4j.linalg.api.ndarray.INDArray input

labels

org.nd4j.linalg.api.ndarray.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

org.nd4j.linalg.api.ndarray.INDArray flattenedParams

clearTbpttState
```
boolean clearTbpttState
```

mask

org.nd4j.linalg.api.ndarray.INDArray mask

layerIndex
```
int layerIndex
```

WS_LAYER_WORKING_MEM_CONFIG

org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG

WS_LAYER_ACT_X_CONFIG

org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration WS_LAYER_ACT_X_CONFIG

Package org.deeplearning4j.nn.simple.multiclass
- Class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult extends Object implements Serializable
  - Serialized Fields
    - rankedIndices
```
int[][] rankedIndices
```
    - probabilities
```
float[][] probabilities
```
    - labels
```
List<E> labels
```
    - maxLabels
```
List<E> maxLabels
```
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
```
org.nd4j.linalg.api.ndarray.INDArray updaterStateViewArray
```
- 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
```
Layer[] orderedLayers
```
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.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
```
- 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
```
    - 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.listeners.checkpoint
- Class org.deeplearning4j.optimize.listeners.checkpoint.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.checkpoint.CheckpointListener extends BaseTrainingListener implements Serializable
  - Serialized Fields
    - rootDir
```
File rootDir
```
    - keepMode
```
org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.KeepMode keepMode
```
    - keepLast
```
int keepLast
```
    - keepEvery
```
int keepEvery
```
    - logSaving
```
boolean logSaving
```
    - 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
```
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
```
    - terminationConditions
```
Collection<E> terminationConditions
```
    - 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
```
int[] 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
```
Double boundary
```
externalSource
```
Queue<E> externalSource
```
isFirst
```
AtomicBoolean isFirst
```
isDone
```
AtomicBoolean isDone
```
barrier
```
AtomicInteger barrier
```
secondary
```
AtomicInteger secondary
```
registered
```
AtomicBoolean registered
```
bypassMode
```
AtomicBoolean bypassMode
```
currentConsumers
```
AtomicInteger currentConsumers
```

throwable

org.nd4j.linalg.util.AtomicThrowable throwable

isDebug
```
boolean isDebug
```
relocatable
```
boolean relocatable
```

appliedConfiguration

org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration appliedConfiguration

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

Serialized Fields

threshold
```
double threshold
```
minThreshold
```
double minThreshold
```
thresholdStep
```
double thresholdStep
```
stepTrigger
```
double stepTrigger
```
shakeFrequency
```
int shakeFrequency
```
stepDelay
```
int stepDelay
```
boundary
```
Double boundary
```

compressor

org.nd4j.linalg.compression.NDArrayCompressor compressor

atomicBoundary
```
AtomicInteger atomicBoundary
```
iterations
```
ThreadLocal<T> iterations
```
lastStep
```
ThreadLocal<T> lastStep
```
currentThreshold
```
ThreadLocal<T> currentThreshold
```
bitmapMode
```
ThreadLocal<T> bitmapMode
```

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

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
Package org.deeplearning4j.optimize.terminations
- Class org.deeplearning4j.optimize.terminations.EpsTermination extends Object implements Serializable
  - Serialized Fields
    - eps
```
double eps
```
    - tolerance
```
double tolerance
```
- Class org.deeplearning4j.optimize.terminations.Norm2Termination extends Object implements Serializable
  - Serialized Fields
    - gradientTolerance
```
double gradientTolerance
```
- Class org.deeplearning4j.optimize.terminations.ZeroDirection extends Object implements Serializable
Package org.deeplearning4j.util
- Class org.deeplearning4j.util.DiskBasedQueue extends Object implements Serializable
  - Serialized Fields
    - dir
```
File dir
```
    - paths
```
Queue<E> paths
```
    - running
```
AtomicBoolean running
```
    - save
```
Queue<E> save
```
- Class org.deeplearning4j.util.ThreadUtils.UncheckedInterruptedException extends RuntimeException implements Serializable

Serialized Form

Package org.deeplearning4j.datasets.iterator.impl

Class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator extends Object implements Serializable

Serialized Fields

baseFeatures

baseLabels

limit

counter

Class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator extends Object implements Serializable

Serialized Fields

baseFeatures

baseLabels

limit

counter

Class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable

Serialized Fields

loader

numExamples

useSpecialPreProcessCifar

train

imageTransform

exampleCount

overshot

Class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable

Serialized Fields

dataSet

batch

numExamples

preProcessor

Class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator extends Object implements Serializable

Serialized Fields

curr

batch

list

preProcessor

Class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher extends org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher implements Serializable

Serialized Fields

data

windowRows

windowColumns

cursor

Class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter extends Object implements Serializable

Serialized Fields

iter

preProcessor

Class org.deeplearning4j.datasets.iterator.impl.RawMnistDataSetIterator extends org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator extends Object implements Serializable

Serialized Fields

multiDataSet

hasNext

preprocessed

preProcessor

Class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator extends org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator implements Serializable

Serialized Fields

preProcessor

Class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator extends org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator implements Serializable

Serialized Fields

preProcessor

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