Serialized Form (deeplearning4j-nn 0.7.1 API)

Package org.deeplearning4j.berkeley
- Class org.deeplearning4j.berkeley.Counter extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - entries
```
Map<K,V> entries
```
    - dirty
```
boolean dirty
```
    - cacheTotal
```
double cacheTotal
```
    - mf
```
MapFactory<K,V> mf
```
    - deflt
```
double deflt
```
- Class org.deeplearning4j.berkeley.CounterMap extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mf
```
MapFactory<K,V> mf
```
    - counterMap
```
Map<K,V> counterMap
```
    - defltVal
```
double defltVal
```
- Class org.deeplearning4j.berkeley.MapFactory extends Object implements Serializable
- Class org.deeplearning4j.berkeley.MapFactory.HashMapFactory extends MapFactory<K,V> implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.deeplearning4j.berkeley.MapFactory.IdentityHashMapFactory extends MapFactory<K,V> implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.deeplearning4j.berkeley.MapFactory.TreeMapFactory extends MapFactory<K,V> implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.deeplearning4j.berkeley.MapFactory.WeakHashMapFactory extends MapFactory<K,V> implements Serializable
  
  serialVersionUID:
  
  1L
- Class org.deeplearning4j.berkeley.Pair extends Object implements Serializable
  
  serialVersionUID:
  
  42L
  - Serialized Fields
    - first
```
Object first
```
    - second
```
Object second
```
- Class org.deeplearning4j.berkeley.PriorityQueue extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - size
```
int size
```
    - capacity
```
int capacity
```
    - elements
```
List<E> elements
```
    - priorities
```
double[] priorities
```
- Class org.deeplearning4j.berkeley.Triple extends Object implements Serializable
  - Serialized Fields
    - first
```
Object first
```
    - second
```
Object second
```
    - third
```
Object third
```
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
    - baseIterator
```
org.nd4j.linalg.dataset.api.iterator.DataSetIterator baseIterator
```
    - blockingQueue
```
BlockingQueue<E> blockingQueue
```
    - thread
```
Thread thread
```
    - runnable
```
org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.IteratorRunnable runnable
```
- Class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iterator
```
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator
```
    - queue
```
LinkedBlockingQueue<E> queue
```
    - runnable
```
org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator.IteratorRunnable runnable
```
    - thread
```
Thread thread
```
- 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.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.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.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
```
    - queueSize
```
int queueSize
```
    - async
```
boolean async
```
    - 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
```
Package org.deeplearning4j.datasets.iterator.impl
- 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
```
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.ConfusionMatrix extends Object implements Serializable
  - Serialized Fields
    - matrix
```
Map<K,V> matrix
```
    - classes
```
List<E> classes
```
- Class org.deeplearning4j.eval.Evaluation extends Object implements Serializable
  - Serialized Fields
    - topN
```
int topN
```
    - topNCorrectCount
```
int topNCorrectCount
```
    - topNTotalCount
```
int topNTotalCount
```
    - truePositives
```
Counter<E> truePositives
```
    - falsePositives
```
Counter<E> falsePositives
```
    - trueNegatives
```
Counter<E> trueNegatives
```
    - falseNegatives
```
Counter<E> falseNegatives
```
    - confusion
```
ConfusionMatrix<T extends Comparable<? super T>> confusion
```
    - numRowCounter
```
int numRowCounter
```
    - labelsList
```
List<E> labelsList
```
    - confusionMatrixMetaData
```
Map<K,V> confusionMatrixMetaData
```
- Class org.deeplearning4j.eval.ROC extends Object implements Serializable
  - Serialized Fields
    - thresholdSteps
```
int thresholdSteps
```
    - countActualPositive
```
long countActualPositive
```
    - countActualNegative
```
long countActualNegative
```
    - counts
```
Map<K,V> counts
```
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
```
    - 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
```
- 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
```
- Class org.deeplearning4j.nn.conf.NeuralNetConfiguration extends Object implements Serializable
  - Serialized Fields
    - layer
```
Layer layer
```
    - leakyreluAlpha
```
double leakyreluAlpha
```
    - 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
```
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.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.L2Vertex extends GraphVertex implements Serializable
- 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.PreprocessorVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - preProcessor
```
InputPreProcessor preProcessor
```
    - outputType
```
InputType outputType
```
- 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
```
- Class org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException extends RuntimeException implements Serializable
Package org.deeplearning4j.nn.conf.layers
- Class org.deeplearning4j.nn.conf.layers.ActivationLayer extends FeedForwardLayer implements Serializable
- 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.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
```
    - customLossFunction
```
String customLossFunction
```
    - 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.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.
- Class org.deeplearning4j.nn.conf.layers.DenseLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.EmbeddingLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.FeedForwardLayer extends Layer implements Serializable
  - Serialized Fields
    - nIn
```
int nIn
```
    - nOut
```
int nOut
```
- Class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
- Class org.deeplearning4j.nn.conf.layers.GravesLSTM extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
```
double forgetGateBiasInit
```
- Class org.deeplearning4j.nn.conf.layers.Layer extends Object implements Serializable
  - Serialized Fields
    - layerName
```
String layerName
```
    - activationFunction
```
String activationFunction
```
    - weightInit
```
WeightInit weightInit
```
    - biasInit
```
double biasInit
```
    - dist
```
Distribution dist
```
    - learningRate
```
double learningRate
```
    - biasLearningRate
```
double biasLearningRate
```
    - learningRateSchedule
```
Map<K,V> learningRateSchedule
```
    - momentum
```
double momentum
```
    - momentumSchedule
```
Map<K,V> momentumSchedule
```
    - l1
```
double l1
```
    - l2
```
double l2
```
    - biasL1
```
double biasL1
```
    - biasL2
```
double biasL2
```
    - dropOut
```
double dropOut
```
    - updater
```
Updater updater
```
    - rho
```
double rho
```
    - epsilon
```
double epsilon
```
    - rmsDecay
```
double rmsDecay
```
    - adamMeanDecay
```
double adamMeanDecay
```
    - adamVarDecay
```
double adamVarDecay
```
    - gradientNormalization
```
GradientNormalization gradientNormalization
```
    - gradientNormalizationThreshold
```
double gradientNormalizationThreshold
```
- 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.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.SubsamplingLayer extends Layer implements Serializable
  - Serialized Fields
    - convolutionMode
```
ConvolutionMode convolutionMode
```
    - poolingType
```
SubsamplingLayer.PoolingType poolingType
```
    - kernelSize
```
int[] kernelSize
```
    - stride
```
int[] stride
```
    - padding
```
int[] padding
```
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.ReshapePreProcessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - fromShape
```
int[] fromShape
```
      Deprecated.
    - toShape
```
int[] toShape
```
      Deprecated.
    - dynamic
```
boolean dynamic
```
      Deprecated.
- 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.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.L2Vertex extends BaseGraphVertex implements Serializable
- 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.PreprocessorVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - preProcessor
```
InputPreProcessor preProcessor
```
- Class org.deeplearning4j.nn.graph.vertex.impl.StackVertex extends BaseGraphVertex implements Serializable
- 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.ActivationLayer extends BaseLayer<ActivationLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.BaseLayer 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
```
    - dropoutMask
```
org.nd4j.linalg.api.ndarray.INDArray dropoutMask
```
    - dropoutApplied
```
boolean dropoutApplied
```
    - score
```
double score
```
    - optimizer
```
ConvexOptimizer optimizer
```
    - gradient
```
Gradient gradient
```
    - iterationListeners
```
Collection<E> iterationListeners
```
    - index
```
int index
```
    - maskArray
```
org.nd4j.linalg.api.ndarray.INDArray maskArray
```
    - 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
```
- Class org.deeplearning4j.nn.layers.BasePretrainNetwork extends BaseLayer<LayerConfT extends BasePretrainNetwork> implements Serializable
- 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.ConvolutionLayer extends BaseLayer<ConvolutionLayer> implements Serializable
  - Serialized Fields
    - helper
```
ConvolutionHelper helper
```
    - convolutionMode
```
ConvolutionMode convolutionMode
```
Package org.deeplearning4j.nn.layers.convolution.subsampling
- Class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer extends BaseLayer<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 BaseLayer<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.recurrent
- Class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer extends BaseLayer<LayerConfT extends Layer> 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<GravesLSTM> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.GravesLSTM extends BaseRecurrentLayer<GravesLSTM> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer extends BaseOutputLayer<RnnOutputLayer> implements Serializable

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
```

Package org.deeplearning4j.nn.updater
- Class org.deeplearning4j.nn.updater.LayerUpdater extends Object implements Serializable
  - Serialized Fields
    - updaterForVariable
```
Map<K,V> updaterForVariable
```
    - viewArray
```
org.nd4j.linalg.api.ndarray.INDArray viewArray
```
- Class org.deeplearning4j.nn.updater.MultiLayerUpdater extends Object implements Serializable
  - Serialized Fields
    - layerUpdaters
```
Updater[] layerUpdaters
```
    - viewArray
```
org.nd4j.linalg.api.ndarray.INDArray viewArray
```
Package org.deeplearning4j.nn.updater.graph
- Class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater extends Object implements Serializable
  - Serialized Fields
    - layerUpdaters
```
Updater[] layerUpdaters
```
    - layerUpdatersMap
```
Map<K,V> layerUpdatersMap
```
    - viewArray
```
org.nd4j.linalg.api.ndarray.INDArray viewArray
```
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.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
```
java.nio.file.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
```
double samplesPerSec
```
    - batchesPerSec
```
double batchesPerSec
```
    - lastTime
```
long lastTime
```
    - iterationCount
```
AtomicLong iterationCount
```
    - reportScore
```
boolean reportScore
```
    - reportSample
```
boolean reportSample
```
    - reportBatch
```
boolean reportBatch
```
    - reportIteration
```
boolean reportIteration
```
    - reportTime
```
boolean reportTime
```
- Class org.deeplearning4j.optimize.listeners.ScoreIterationListener extends Object implements Serializable
  - Serialized Fields
    - printIterations
```
int printIterations
```
    - invoked
```
boolean invoked
```
    - iterCount
```
long iterCount
```
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
```
    - iteration
```
int iteration
```
    - 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
```
- 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.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.berkeley

Class org.deeplearning4j.berkeley.Counter extends Object implements Serializable

Serialized Fields

entries

dirty

cacheTotal

mf

deflt

Class org.deeplearning4j.berkeley.CounterMap extends Object implements Serializable

Serialized Fields

mf

counterMap

defltVal

Class org.deeplearning4j.berkeley.MapFactory extends Object implements Serializable

Class org.deeplearning4j.berkeley.MapFactory.HashMapFactory extends MapFactory<K,V> implements Serializable

Class org.deeplearning4j.berkeley.MapFactory.IdentityHashMapFactory extends MapFactory<K,V> implements Serializable

Class org.deeplearning4j.berkeley.MapFactory.TreeMapFactory extends MapFactory<K,V> implements Serializable

Class org.deeplearning4j.berkeley.MapFactory.WeakHashMapFactory extends MapFactory<K,V> implements Serializable

Class org.deeplearning4j.berkeley.Pair extends Object implements Serializable

Serialized Fields

first

second

Class org.deeplearning4j.berkeley.PriorityQueue extends Object implements Serializable

Serialized Fields

size

capacity

elements

priorities

Class org.deeplearning4j.berkeley.Triple extends Object implements Serializable

Serialized Fields

first

second

third

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

baseIterator

blockingQueue

thread

runnable

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

Serialized Fields

iterator

queue

runnable

thread

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.ExistingDataSetIterator extends Object implements Serializable

Serialized Fields

preProcessor

totalExamples

numFeatures

numLabels