Serialized Form (deeplearning4j-nn 0.9.1 API)

Package org.deeplearning4j.datasets.fetchers
- Class org.deeplearning4j.datasets.fetchers.BaseDataFetcher extends Object implements Serializable
  
  serialVersionUID:
  
  -859588773699432365L
  - Serialized Fields
    - cursor
```
int cursor
```
    - numOutcomes
```
int numOutcomes
```
    - inputColumns
```
int inputColumns
```
    - curr
```
org.nd4j.linalg.dataset.DataSet curr
```
    - totalExamples
```
int totalExamples
```
Package org.deeplearning4j.datasets.iterator
- Class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
    - batchSize
```
int batchSize
```
    - queue
```
LinkedBlockingQueue<E> queue
```
    - labels
```
List<E> labels
```
    - numFeatures
```
int numFeatures
```
    - numLabels
```
int numLabels
```
- Class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - backedIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator backedIterator
```
    - terminator
```
org.nd4j.linalg.dataset.DataSet terminator
```
    - nextElement
```
org.nd4j.linalg.dataset.DataSet nextElement
```
    - buffer
```
BlockingQueue<E> buffer
```
    - thread
```
AsyncDataSetIterator.AsyncPrefetchThread thread
```
    - shouldWork
```
AtomicBoolean shouldWork
```
    - throwable
```
RuntimeException throwable
```
    - useWorkspace
```
boolean useWorkspace
```
    - prefetchSize
```
int prefetchSize
```
    - workspaceId
```
String workspaceId
```
    - deviceId
```
Integer deviceId
```
    - hasDepleted
```
AtomicBoolean hasDepleted
```
    - callback
```
DataSetCallback callback
```
- Class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - backedIterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator backedIterator
```
    - terminator
```
org.nd4j.linalg.dataset.api.MultiDataSet terminator
```
    - nextElement
```
org.nd4j.linalg.dataset.api.MultiDataSet nextElement
```
    - buffer
```
BlockingQueue<E> buffer
```
    - thread
```
AsyncMultiDataSetIterator.AsyncPrefetchThread thread
```
    - shouldWork
```
AtomicBoolean shouldWork
```
    - throwable
```
RuntimeException throwable
```
    - useWorkspaces
```
boolean useWorkspaces
```
    - prefetchSize
```
int prefetchSize
```
    - workspaceId
```
String workspaceId
```
    - callback
```
DataSetCallback callback
```
    - deviceId
```
Integer deviceId
```
    - hasDepleted
```
AtomicBoolean hasDepleted
```
- Class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - backingIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator backingIterator
```
- Class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - backingIterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator backingIterator
```
- Class org.deeplearning4j.datasets.iterator.BaseDatasetIterator extends Object implements Serializable
  - Serialized Fields
    - batch
```
int batch
```
    - numExamples
```
int numExamples
```
    - fetcher
```
BaseDataFetcher fetcher
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.CombinedPreProcessor extends Object implements Serializable
  - Serialized Fields
    - preProcessors
```
List<E> preProcessors
```
- Class org.deeplearning4j.datasets.iterator.DoublesDataSetIterator extends AbstractDataSetIterator<double[]> implements Serializable
- Class org.deeplearning4j.datasets.iterator.DummyPreProcessor extends Object implements Serializable
- Class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - underlyingIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator underlyingIterator
```
    - terminationPoint
```
int terminationPoint
```
    - minibatchCount
```
int minibatchCount
```
- Class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - underlyingIterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator underlyingIterator
```
    - terminationPoint
```
int terminationPoint
```
    - minibatchCount
```
int minibatchCount
```
- Class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
    - totalExamples
```
int totalExamples
```
    - numFeatures
```
int numFeatures
```
    - numLabels
```
int numLabels
```
    - labels
```
List<E> labels
```
- Class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
    - files
```
List<E> files
```
    - numFiles
```
int numFiles
```
    - counter
```
AtomicInteger counter
```
    - callback
```
FileCallback callback
```
- Class org.deeplearning4j.datasets.iterator.FloatsDataSetIterator extends AbstractDataSetIterator<float[]> implements Serializable
- Class org.deeplearning4j.datasets.iterator.INDArrayDataSetIterator extends AbstractDataSetIterator<org.nd4j.linalg.api.ndarray.INDArray> implements Serializable
- Class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
Iterator<E> iterator
```
    - batchSize
```
int batchSize
```
    - queued
```
LinkedList<E> queued
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
    - inputColumns
```
int inputColumns
```
    - totalOutcomes
```
int totalOutcomes
```
    - cursor
```
int cursor
```
- Class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
Iterator<E> iterator
```
    - batchSize
```
int batchSize
```
    - queued
```
LinkedList<E> queued
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator extends BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator extends Object implements Serializable
  - Serialized Fields
    - epochs
```
int epochs
```
    - numEpochs
```
int numEpochs
```
    - batch
```
int batch
```
    - lastBatch
```
int lastBatch
```
    - iter
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
```
    - ds
```
org.nd4j.linalg.dataset.DataSet ds
```
    - batchedDS
```
List<E> batchedDS
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
    - newEpoch
```
boolean newEpoch
```
    - iterationsCounter
```
AtomicLong iterationsCounter
```
    - totalIterations
```
long totalIterations
```
- Class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iter
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator extends Object implements Serializable
  
  serialVersionUID:
  
  -2700563801361726914L
  - Serialized Fields
    - sampleFrom
```
org.nd4j.linalg.dataset.DataSet sampleFrom
```
    - batchSize
```
int batchSize
```
    - totalNumberSamples
```
int totalNumberSamples
```
    - numTimesSampled
```
int numTimesSampled
```
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iterator
```
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.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.MovingWindowDataSetFetcher extends 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.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
```
Package org.deeplearning4j.datasets.iterator.parallel
- Class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - counter
```
AtomicLong counter
```
    - inequalityHandling
```
org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling inequalityHandling
```
    - numProducers
```
int numProducers
```
    - allDepleted
```
AtomicBoolean allDepleted
```
    - states
```
MultiBoolean states
```
    - resetTracker
```
MultiBoolean resetTracker
```
    - producerAffinity
```
ThreadLocal<T> producerAffinity
```
- Class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator extends BaseParallelDataSetIterator implements Serializable
  - Serialized Fields
    - pattern
```
String pattern
```
    - buffer
```
int buffer
```
    - asyncIterators
```
List<E> asyncIterators
```
- Class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator extends BaseParallelDataSetIterator implements Serializable
  - Serialized Fields
    - asyncIterators
```
List<E> asyncIterators
```
    - enforceSingleDevice
```
boolean enforceSingleDevice
```
    - bufferSizePerDevice
```
int bufferSizePerDevice
```
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
```
- 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.DataSetLossCalculator extends Object implements Serializable
  - Serialized Fields
    - dataSetIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator dataSetIterator
```
    - average
```
boolean average
```
- Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG extends Object implements Serializable
  - Serialized Fields
    - dataSetIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator dataSetIterator
```
    - multiDataSetIterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator multiDataSetIterator
```
    - average
```
boolean average
```
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

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

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
```
- 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
```
- Class org.deeplearning4j.nn.conf.NeuralNetConfiguration extends Object implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
    - leakyreluAlpha
```
double leakyreluAlpha
```
      Deprecated.
    - miniBatch
```
boolean miniBatch
```
    - numIterations
```
int numIterations
```
    - maxNumLineSearchIterations
```
int maxNumLineSearchIterations
```
    - seed
```
long seed
```
    - optimizationAlgo
```
OptimizationAlgorithm optimizationAlgo
```
    - variables
```
List<E> variables
```
    - stepFunction
```
StepFunction stepFunction
```
    - useRegularization
```
boolean useRegularization
```
    - useDropConnect
```
boolean useDropConnect
```
    - minimize
```
boolean minimize
```
    - learningRateByParam
```
Map<K,V> learningRateByParam
```
    - l1ByParam
```
Map<K,V> l1ByParam
```
    - l2ByParam
```
Map<K,V> l2ByParam
```
    - learningRatePolicy
```
LearningRatePolicy learningRatePolicy
```
    - lrPolicyDecayRate
```
double lrPolicyDecayRate
```
    - lrPolicySteps
```
double lrPolicySteps
```
    - lrPolicyPower
```
double lrPolicyPower
```
    - pretrain
```
boolean pretrain
```
    - cacheMode
```
CacheMode cacheMode
```
    - iterationCount
```
int iterationCount
```
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.Distribution extends Object implements Serializable
  
  serialVersionUID:
  
  5401741214954998498L
- Class org.deeplearning4j.nn.conf.distribution.GaussianDistribution extends NormalDistribution implements Serializable
- 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.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.graph
- Class org.deeplearning4j.nn.conf.graph.ElementWiseVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - op
```
ElementWiseVertex.Op op
```
- 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
    - newShape
```
int[] newShape
```
- 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
```
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
```
    - depth
```
int depth
```
- 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
```
    - learningRate
```
double learningRate
```
    - biasLearningRate
```
double biasLearningRate
```
    - learningRateSchedule
```
Map<K,V> learningRateSchedule
```
    - momentum
```
double momentum
```
      Deprecated.
    - momentumSchedule
```
Map<K,V> momentumSchedule
```
      Deprecated.
    - l1
```
double l1
```
    - l2
```
double l2
```
    - l1Bias
```
double l1Bias
```
    - l2Bias
```
double l2Bias
```
    - updater
```
Updater updater
```
      Deprecated.
    - iUpdater
```
org.nd4j.linalg.learning.config.IUpdater iUpdater
```
    - rho
```
double rho
```
      Deprecated.
    - epsilon
```
double epsilon
```
      Deprecated.
    - rmsDecay
```
double rmsDecay
```
      Deprecated.
    - adamMeanDecay
```
double adamMeanDecay
```
      Deprecated.
    - adamVarDecay
```
double adamVarDecay
```
      Deprecated.
    - 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
```
- Class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFunction
```
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
```
    - visibleBiasInit
```
double visibleBiasInit
```
    - preTrainIterations
```
int preTrainIterations
```
- Class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer extends FeedForwardLayer implements Serializable
- 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.Convolution1DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.ConvolutionLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
    - 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.DenseLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.DropoutLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.EmbeddingLayer extends FeedForwardLayer implements Serializable
- 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
```
    - gateActivationFn
```
org.nd4j.linalg.activations.IActivation gateActivationFn
```
- 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
```
    - dropOut
```
double dropOut
```
- 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.OutputLayer extends BaseOutputLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.RBM extends BasePretrainNetwork implements Serializable
  - Serialized Fields
    - hiddenUnit
```
RBM.HiddenUnit hiddenUnit
```
    - visibleUnit
```
RBM.VisibleUnit visibleUnit
```
    - k
```
int k
```
    - sparsity
```
double sparsity
```
- Class org.deeplearning4j.nn.conf.layers.RnnOutputLayer extends BaseOutputLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- 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
```
    - pnorm
```
int pnorm
```
    - eps
```
double eps
```
- Class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer extends Layer implements Serializable
  - Serialized Fields
    - padding
```
int[] padding
```
Package org.deeplearning4j.nn.conf.layers.misc
- Class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer extends Layer implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
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.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.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.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.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
```
    - 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.
    - 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
```
    - listeners
```
Collection<E> listeners
```
    - 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
```
- 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.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
```
    - outputVertex
```
boolean outputVertex
```
- 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
    - newShape
```
int[] newShape
```
- 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
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
```
    - iterationListeners
```
Collection<E> iterationListeners
```
    - index
```
int index
```
    - maskArray
```
org.nd4j.linalg.api.ndarray.INDArray maskArray
```
    - maskState
```
MaskState maskState
```
    - cacheMode
```
CacheMode cacheMode
```
- 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
```
- 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
  - Serialized Fields
    - trainingListeners
```
Collection<E> trainingListeners
```
- Class org.deeplearning4j.nn.layers.DropoutLayer extends BaseLayer<DropoutLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.FrozenLayer extends Object implements Serializable
  - Serialized Fields
    - insideLayer
```
Layer insideLayer
```
    - 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.Convolution1DLayer 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
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
- 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.SubsamplingLayer extends AbstractLayer<SubsamplingLayer> implements Serializable
  - Serialized Fields
    - helper
```
SubsamplingHelper helper
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
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.embedding
- Class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer extends BaseLayer<EmbeddingLayer> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.rbm
- Class org.deeplearning4j.nn.layers.feedforward.rbm.RBM extends BasePretrainNetwork<RBM> implements Serializable
  - Serialized Fields
    - seed
```
long seed
```
    - sigma
```
org.nd4j.linalg.api.ndarray.INDArray sigma
```
      Deprecated.
    - hiddenSigma
```
org.nd4j.linalg.api.ndarray.INDArray hiddenSigma
```
      Deprecated.
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
```
    - k
```
double k
```
    - n
```
double n
```
    - alpha
```
double alpha
```
    - beta
```
double beta
```
    - halfN
```
int halfN
```
    - activations
```
org.nd4j.linalg.api.ndarray.INDArray activations
```
    - unitScale
```
org.nd4j.linalg.api.ndarray.INDArray unitScale
```
    - scale
```
org.nd4j.linalg.api.ndarray.INDArray scale
```
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.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.LSTM extends BaseRecurrentLayer<LSTM> implements Serializable
  - Serialized Fields
    - helper
```
LSTMHelper helper
```
    - cachedFwdPass
```
FwdPassReturn cachedFwdPass
```
- Class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer extends BaseOutputLayer<RnnOutputLayer> implements Serializable
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.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
```
iterationListeners
```
Collection<E> iterationListeners
```
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
```

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
```
listeners
```
Collection<E> listeners
```
trainingListeners
```
Collection<E> trainingListeners
```

defaultConfiguration

NeuralNetConfiguration defaultConfiguration

layerWiseConfigurations

MultiLayerConfiguration layerWiseConfigurations

gradient
```
Gradient gradient
```

epsilon

org.nd4j.linalg.api.ndarray.INDArray epsilon

score
```
double score
```
initDone
```
boolean initDone
```

flattenedParams

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

mask

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

layerIndex
```
int layerIndex
```

workspaceConfigurationFeedForward

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

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
Package org.deeplearning4j.optimize.listeners
- Class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener extends Object implements Serializable
  - Serialized Fields
    - frequency
```
int frequency
```
    - iterationCount
```
int iterationCount
```
    - scoreVsIter
```
List<E> scoreVsIter
```
- Class org.deeplearning4j.optimize.listeners.ComposableIterationListener extends Object implements Serializable
  - Serialized Fields
    - listeners
```
Collection<E> listeners
```
    - invoked
```
boolean invoked
```
- Class org.deeplearning4j.optimize.listeners.EvaluativeListener extends Object implements Serializable
  - Serialized Fields
    - frequency
```
int frequency
```
    - invocationCount
```
AtomicLong invocationCount
```
    - ds
```
org.nd4j.linalg.dataset.DataSet ds
```
    - mds
```
org.nd4j.linalg.dataset.MultiDataSet mds
```
    - evaluations
```
IEvaluation<T extends IEvaluation>[] evaluations
```
    - invocationType
```
InvocationType invocationType
```
- Class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener extends Object implements Serializable
  - Serialized Fields
    - invoked
```
boolean invoked
```
    - iterations
```
int iterations
```
    - totalIterationCount
```
long totalIterationCount
```
    - printMean
```
boolean printMean
```
    - printHeader
```
boolean printHeader
```
    - printMinMax
```
boolean printMinMax
```
    - printMeanAbsValue
```
boolean printMeanAbsValue
```
    - file
```
File file
```
    - filePath
```
Path filePath
```
    - outputToConsole
```
boolean outputToConsole
```
    - outputToFile
```
boolean outputToFile
```
    - outputToLogger
```
boolean outputToLogger
```
    - delimiter
```
String delimiter
```
    - writeFailureCount
```
int writeFailureCount
```
- Class org.deeplearning4j.optimize.listeners.PerformanceListener extends Object implements Serializable
  - Serialized Fields
    - frequency
```
int frequency
```
    - samplesPerSec
```
ThreadLocal<T> samplesPerSec
```
    - batchesPerSec
```
ThreadLocal<T> batchesPerSec
```
    - lastTime
```
ThreadLocal<T> lastTime
```
    - iterationCount
```
ThreadLocal<T> iterationCount
```
    - 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 Object implements Serializable
  - Serialized Fields
    - printIterations
```
int printIterations
```
    - invoked
```
boolean invoked
```
    - iterCount
```
long iterCount
```
- Class org.deeplearning4j.optimize.listeners.SleepyTrainingListener extends Object 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 Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - invoked
```
boolean invoked
```
    - 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
```
    - iterationListeners
```
Collection<E> iterationListeners
```
    - 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
```
    - executorService
```
ScheduledExecutorService executorService
```
    - running
```
AtomicBoolean running
```
    - save
```
Queue<E> save
```
- Class org.deeplearning4j.util.Index extends Object implements Serializable
  
  serialVersionUID:
  
  1160629777026141078L
  - Serialized Fields
    - objects
```
Map<K,V> objects
```
    - indexes
```
Map<K,V> indexes
```
- Class org.deeplearning4j.util.MultiDimensionalMap extends Object implements Serializable
  - Serialized Fields
    - backedMap
```
Map<K,V> backedMap
```
- Class org.deeplearning4j.util.StringCluster extends HashMap<String,Map<String,Integer>> implements Serializable
  
  serialVersionUID:
  
  -4120559428585520276L
- Class org.deeplearning4j.util.StringCluster.SizeComparator extends Object implements Serializable
  
  serialVersionUID:
  
  -1390696157208674054L
- Class org.deeplearning4j.util.StringGrid extends ArrayList<List<String>> implements Serializable
  
  serialVersionUID:
  
  4702427632483221813L
  - Serialized Fields
    - sep
```
String sep
```
    - numColumns
```
int numColumns
```
- Class org.deeplearning4j.util.Viterbi extends Object implements Serializable
  - Serialized Fields
    - metaStability
```
double metaStability
```
    - pCorrect
```
double pCorrect
```
    - possibleLabels
```
org.nd4j.linalg.api.ndarray.INDArray possibleLabels
```
    - states
```
int states
```
    - logPCorrect
```
double logPCorrect
```
    - logPIncorrect
```
double logPIncorrect
```
    - logMetaInstability
```
double logMetaInstability
```
    - logOfDiangnalTProb
```
double logOfDiangnalTProb
```
    - logStates
```
double logStates
```

Serialized Form

Package org.deeplearning4j.datasets.fetchers

Class org.deeplearning4j.datasets.fetchers.BaseDataFetcher extends Object implements Serializable

Serialized Fields

cursor

numOutcomes

inputColumns

curr

totalExamples

Package org.deeplearning4j.datasets.iterator

Class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator extends Object implements Serializable

Serialized Fields

preProcessor

batchSize

queue

labels

numFeatures

numLabels

Class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator extends Object implements Serializable

Serialized Fields

backedIterator

terminator

nextElement

buffer

thread

shouldWork

throwable

useWorkspace

prefetchSize

workspaceId

deviceId

hasDepleted

callback

Class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator extends Object implements Serializable

Serialized Fields

backedIterator

terminator

nextElement

buffer

thread

shouldWork

throwable

useWorkspaces

prefetchSize

workspaceId

callback

deviceId

hasDepleted

Class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator extends Object implements Serializable

Serialized Fields

backingIterator

Class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator extends Object implements Serializable

Serialized Fields

backingIterator

Class org.deeplearning4j.datasets.iterator.BaseDatasetIterator extends Object implements Serializable

Serialized Fields

batch

numExamples

fetcher

preProcessor

Class org.deeplearning4j.datasets.iterator.CombinedPreProcessor extends Object implements Serializable

Serialized Fields

preProcessors

Class org.deeplearning4j.datasets.iterator.DoublesDataSetIterator extends AbstractDataSetIterator<double[]> implements Serializable

Class org.deeplearning4j.datasets.iterator.DummyPreProcessor extends Object implements Serializable

Class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator extends Object implements Serializable

Serialized Fields

underlyingIterator

terminationPoint

minibatchCount

Class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator extends Object implements Serializable

Serialized Fields

underlyingIterator

terminationPoint

minibatchCount

Class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator extends Object implements Serializable

Serialized Fields

preProcessor

totalExamples

numFeatures