Serialized Form (deeplearning4j-nn 1.0.0-M2.1 API)

Package org.deeplearning4j.earlystopping

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

Serialized Fields

epochTerminationConditions

List<EpochTerminationCondition> epochTerminationConditions

evaluateEveryNEpochs
```
int evaluateEveryNEpochs
```

iterationTerminationConditions

List<IterationTerminationCondition> iterationTerminationConditions

modelSaver

EarlyStoppingModelSaver<T extends Model> modelSaver

saveLastModel
```
boolean saveLastModel
```

scoreCalculator

ScoreCalculator<T extends Model> scoreCalculator

scoreCalculatorSupplier

Supplier<ScoreCalculator> scoreCalculatorSupplier

Class org.deeplearning4j.earlystopping.EarlyStoppingResult extends Object implements Serializable
- Serialized Fields
  - bestModel
```
T extends Model bestModel
```
  - bestModelEpoch
```
int bestModelEpoch
```
  - bestModelScore
```
double bestModelScore
```
  - scoreVsEpoch
```
Map<Integer,Double> scoreVsEpoch
```
  - terminationDetails
```
String terminationDetails
```
  - terminationReason
```
EarlyStoppingResult.TerminationReason terminationReason
```
  - totalEpochs
```
int totalEpochs
```

Package org.deeplearning4j.earlystopping.saver
- Class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver extends Object implements Serializable
- Class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver extends Object implements Serializable
  - Serialized Fields
    - directory
      
      String directory
    - encoding
      
      Charset encoding
- Class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver extends Object implements Serializable
  - Serialized Fields
    - directory
      
      String directory
    - encoding
      
      Charset encoding
Package org.deeplearning4j.earlystopping.scorecalc
- Class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - evaluation
      
      RegressionEvaluation evaluation
    - metric
      
      RegressionEvaluation.Metric metric
- Class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator extends BaseIEvaluationScoreCalculator<Model,Evaluation> implements Serializable
  - Serialized Fields
    - metric
      
      Evaluation.Metric metric
- Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - average
      
      boolean average
- Class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG extends Object implements Serializable
  - Serialized Fields
    - average
      
      boolean average
      
      Deprecated.
    - dataSetIterator
      
      DataSetIterator dataSetIterator
      
      Deprecated.
    - multiDataSetIterator
      
      MultiDataSetIterator multiDataSetIterator
      
      Deprecated.
- Class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator extends BaseIEvaluationScoreCalculator<Model,RegressionEvaluation> implements Serializable
  - Serialized Fields
    - metric
      
      RegressionEvaluation.Metric metric
- Class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator extends BaseIEvaluationScoreCalculator<Model,IEvaluation> implements Serializable
  - Serialized Fields
    - metric
      
      ROCScoreCalculator.Metric metric
    - type
      
      ROCScoreCalculator.ROCType type
- Class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - evaluation
      
      RegressionEvaluation evaluation
    - metric
      
      RegressionEvaluation.Metric metric
- Class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator extends BaseScoreCalculator<Model> implements Serializable
  - Serialized Fields
    - average
      
      boolean average
    - logProb
      
      boolean logProb
    - reconstructionProbNumSamples
      
      int reconstructionProbNumSamples
Package org.deeplearning4j.earlystopping.scorecalc.base
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator extends Object implements Serializable
  - Serialized Fields
    - iter
      
      DataSetIterator iter
    - iterator
      
      MultiDataSetIterator iterator
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator extends BaseScoreCalculator<MultiLayerNetwork> implements Serializable
- Class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator extends Object implements Serializable
  - Serialized Fields
    - exampleCount
      
      int exampleCount
    - iterator
      
      DataSetIterator iterator
    - mdsIterator
      
      MultiDataSetIterator mdsIterator
    - minibatchCount
      
      int minibatchCount
    - scoreSum
      
      double scoreSum
Package org.deeplearning4j.earlystopping.termination
- Class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - bestExpectedScore
      
      double bestExpectedScore
- Class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition extends Object implements Serializable
- Class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxEpochs
      
      int maxEpochs
- Class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - maxScore
      
      double maxScore
- Class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - endTime
      
      long endTime
    - initializationTime
      
      long initializationTime
    - maxTimeAmount
      
      long maxTimeAmount
    - maxTimeUnit
      
      TimeUnit maxTimeUnit
- Class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition extends Object implements Serializable
  - Serialized Fields
    - bestEpoch
      
      int bestEpoch
    - bestScore
      
      double bestScore
    - maxEpochsWithNoImprovement
      
      int maxEpochsWithNoImprovement
    - minImprovement
      
      double minImprovement
Package org.deeplearning4j.eval
- Class org.deeplearning4j.eval.BaseEvaluation extends BaseEvaluation<T extends BaseEvaluation> implements Serializable
- Class org.deeplearning4j.eval.ConfusionMatrix extends ConfusionMatrix<T extends Comparable<? super T>> implements Serializable
- Class org.deeplearning4j.eval.Evaluation extends Evaluation implements Serializable
- Class org.deeplearning4j.eval.EvaluationBinary extends EvaluationBinary implements Serializable
- Class org.deeplearning4j.eval.EvaluationCalibration extends EvaluationCalibration implements Serializable
- Class org.deeplearning4j.eval.RegressionEvaluation extends RegressionEvaluation implements Serializable
- Class org.deeplearning4j.eval.ROC extends ROC implements Serializable
- Class org.deeplearning4j.eval.ROC.CountsForThreshold extends ROC.CountsForThreshold implements Serializable
- Class org.deeplearning4j.eval.ROCBinary extends ROCBinary implements Serializable
- Class org.deeplearning4j.eval.ROCMultiClass extends ROCMultiClass implements Serializable
Package org.deeplearning4j.exception
- Class org.deeplearning4j.exception.DeepLearningException extends Exception implements Serializable
  
  serialVersionUID:
  
  -7973589163269627293L
- Class org.deeplearning4j.exception.DL4JException extends RuntimeException implements Serializable
- Class org.deeplearning4j.exception.DL4JInvalidConfigException extends DL4JException implements Serializable
- Class org.deeplearning4j.exception.DL4JInvalidInputException extends DL4JException implements Serializable
- Class org.deeplearning4j.exception.InvalidStepException extends Exception implements Serializable
Package org.deeplearning4j.nn.adapters
- Class org.deeplearning4j.nn.adapters.ArgmaxAdapter extends Object implements Serializable
- Class org.deeplearning4j.nn.adapters.Regression2dAdapter extends Object implements Serializable
- Class org.deeplearning4j.nn.adapters.YoloModelAdapter extends Object implements Serializable
  - Serialized Fields
    - detectionThreshold
      
      double detectionThreshold
    - outputIndex
      
      int outputIndex
    - outputLayerIndex
      
      int outputLayerIndex
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

backpropType
```
BackpropType backpropType
```
cacheMode
```
CacheMode cacheMode
```
dataType
```
DataType dataType
```

defaultConfiguration

NeuralNetConfiguration defaultConfiguration

epochCount
```
int epochCount
```
inferenceWorkspaceMode
```
WorkspaceMode inferenceWorkspaceMode
```
iterationCount
```
int iterationCount
```
networkInputs
```
List<String> networkInputs
```
List of inputs to the network, by name
networkOutputs
```
List<String> networkOutputs
```
List of network outputs, by name
tbpttBackLength
```
int tbpttBackLength
```
tbpttFwdLength
```
int tbpttFwdLength
```
topologicalOrder
```
int[] topologicalOrder
```
topologicalOrderStr
```
List<String> topologicalOrderStr
```
trainingWorkspaceMode
```
WorkspaceMode trainingWorkspaceMode
```
validateOutputLayerConfig
```
boolean validateOutputLayerConfig
```

vertexInputs

Map<String,List<String>> vertexInputs

vertices
```
Map<String,GraphVertex> vertices
```

Class org.deeplearning4j.nn.conf.MultiLayerConfiguration extends Object implements Serializable

Serialized Fields

backpropType
```
BackpropType backpropType
```
cacheMode
```
CacheMode cacheMode
```
confs
```
List<NeuralNetConfiguration> confs
```
dataType
```
DataType dataType
```
epochCount
```
int epochCount
```
inferenceWorkspaceMode
```
WorkspaceMode inferenceWorkspaceMode
```

inputPreProcessors

Map<Integer,InputPreProcessor> inputPreProcessors

iterationCount
```
int iterationCount
```
tbpttBackLength
```
int tbpttBackLength
```
tbpttFwdLength
```
int tbpttFwdLength
```
trainingWorkspaceMode
```
WorkspaceMode trainingWorkspaceMode
```
validateOutputLayerConfig
```
boolean validateOutputLayerConfig
```

Class org.deeplearning4j.nn.conf.NeuralNetConfiguration extends Object implements Serializable

Serialized Fields

cacheMode
```
CacheMode cacheMode
```
dataType
```
DataType dataType
```
epochCount
```
int epochCount
```
iterationCount
```
int iterationCount
```
layer
```
Layer layer
```
maxNumLineSearchIterations
```
int maxNumLineSearchIterations
```
miniBatch
```
boolean miniBatch
```
minimize
```
boolean minimize
```
optimizationAlgo
```
OptimizationAlgorithm optimizationAlgo
```
seed
```
long seed
```
stepFunction
```
StepFunction stepFunction
```
variables
```
List<String> variables
```

Package org.deeplearning4j.nn.conf.constraint
- Class org.deeplearning4j.nn.conf.constraint.BaseConstraint extends Object implements Serializable
  - Serialized Fields
    - dimensions
      
      int[] dimensions
    - epsilon
      
      double epsilon
    - params
      
      Set<String> params
- Class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint extends BaseConstraint implements Serializable
  - Serialized Fields
    - maxNorm
      
      double maxNorm
- Class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint extends BaseConstraint implements Serializable
  - Serialized Fields
    - max
      
      double max
    - min
      
      double min
    - rate
      
      double rate
- Class org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint extends BaseConstraint implements Serializable
- Class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint extends BaseConstraint implements Serializable
Package org.deeplearning4j.nn.conf.distribution
- Class org.deeplearning4j.nn.conf.distribution.BinomialDistribution extends Distribution implements Serializable
  
  serialVersionUID:
  
  7407024251874318749L
  - Serialized Fields
    - numberOfTrials
      
      int numberOfTrials
    - probabilityOfSuccess
      
      double probabilityOfSuccess
- Class org.deeplearning4j.nn.conf.distribution.ConstantDistribution extends Distribution implements Serializable
  - Serialized Fields
    - value
      
      double value
- Class org.deeplearning4j.nn.conf.distribution.Distribution extends Object implements Serializable
  
  serialVersionUID:
  
  5401741214954998498L
- Class org.deeplearning4j.nn.conf.distribution.GaussianDistribution extends NormalDistribution implements Serializable
- Class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
      
      double mean
    - std
      
      double std
- Class org.deeplearning4j.nn.conf.distribution.NormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
      
      double mean
    - std
      
      double std
- Class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - gain
      
      double gain
- Class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution extends Distribution implements Serializable
  - Serialized Fields
    - mean
      
      double mean
    - std
      
      double std
- Class org.deeplearning4j.nn.conf.distribution.UniformDistribution extends Distribution implements Serializable
  - Serialized Fields
    - lower
      
      double lower
    - upper
      
      double upper
Package org.deeplearning4j.nn.conf.distribution.serde
- Class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionHelper extends Distribution implements Serializable
Package org.deeplearning4j.nn.conf.dropout
- Class org.deeplearning4j.nn.conf.dropout.AlphaDropout extends Object implements Serializable
  - Serialized Fields
    - a
      
      double a
    - alpha
      
      double alpha
    - alphaPrime
      
      double alphaPrime
    - b
      
      double b
    - lambda
      
      double lambda
    - p
      
      double p
    - pSchedule
      
      ISchedule pSchedule
- Class org.deeplearning4j.nn.conf.dropout.Dropout extends Object implements Serializable
  - Serialized Fields
    - helperAllowFallback
      
      boolean helperAllowFallback
      
      When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user. If false, the built-in (non-CuDNN) implementation for LSTM/GravesLSTM will be used
    - helperCountFail
      
      int helperCountFail
    - initializedHelper
      
      boolean initializedHelper
    - p
      
      double p
    - pSchedule
      
      ISchedule pSchedule
- Class org.deeplearning4j.nn.conf.dropout.GaussianDropout extends Object implements Serializable
  - Serialized Fields
    - rate
      
      double rate
    - rateSchedule
      
      ISchedule rateSchedule
- Class org.deeplearning4j.nn.conf.dropout.GaussianNoise extends Object implements Serializable
  - Serialized Fields
    - stddev
      
      double stddev
    - stddevSchedule
      
      ISchedule stddevSchedule
- Class org.deeplearning4j.nn.conf.dropout.SpatialDropout extends Object implements Serializable
  - Serialized Fields
    - p
      
      double p
    - pSchedule
      
      ISchedule pSchedule
Package org.deeplearning4j.nn.conf.graph
- Class org.deeplearning4j.nn.conf.graph.AttentionVertex extends SameDiffVertex implements Serializable
  - Serialized Fields
    - headSize
      
      long headSize
    - nHeads
      
      int nHeads
    - nInKeys
      
      long nInKeys
    - nInQueries
      
      long nInQueries
    - nInValues
      
      long nInValues
    - nOut
      
      long nOut
    - projectInput
      
      boolean projectInput
    - weightInit
      
      WeightInit weightInit
- Class org.deeplearning4j.nn.conf.graph.ElementWiseVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - op
      
      ElementWiseVertex.Op op
- Class org.deeplearning4j.nn.conf.graph.FrozenVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - underlying
      
      GraphVertex underlying
- Class org.deeplearning4j.nn.conf.graph.GraphVertex extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - dimension
      
      int[] dimension
    - eps
      
      double eps
- Class org.deeplearning4j.nn.conf.graph.L2Vertex extends GraphVertex implements Serializable
  - Serialized Fields
    - eps
      
      double eps
- Class org.deeplearning4j.nn.conf.graph.LayerVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - layerConf
      
      NeuralNetConfiguration layerConf
    - outputVertex
      
      boolean outputVertex
    - preProcessor
      
      InputPreProcessor preProcessor
- Class org.deeplearning4j.nn.conf.graph.MergeVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - mergeAxis
      
      int mergeAxis
    - modified
      
      boolean modified
- 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
    - maskShape
      
      int[] maskShape
    - newShape
      
      int[] newShape
    - reshapeOrder
      
      char reshapeOrder
- Class org.deeplearning4j.nn.conf.graph.ScaleVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - scaleFactor
      
      double scaleFactor
- Class org.deeplearning4j.nn.conf.graph.ShiftVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - shiftFactor
      
      double shiftFactor
- Class org.deeplearning4j.nn.conf.graph.StackVertex extends GraphVertex implements Serializable
- Class org.deeplearning4j.nn.conf.graph.SubsetVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - from
      
      int from
    - to
      
      int to
- Class org.deeplearning4j.nn.conf.graph.UnstackVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - from
      
      int from
    - stackSize
      
      int stackSize
Package org.deeplearning4j.nn.conf.graph.rnn
- Class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - inputName
      
      String inputName
- Class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - maskArrayInputName
      
      String maskArrayInputName
- Class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - maskArrayInputName
      
      String maskArrayInputName
Package org.deeplearning4j.nn.conf.inputs
- Class org.deeplearning4j.nn.conf.inputs.InputType extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional extends InputType implements Serializable
  - Serialized Fields
    - channels
      
      long channels
    - format
      
      CNN2DFormat format
    - height
      
      long height
    - width
      
      long width
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D extends InputType implements Serializable
  - Serialized Fields
    - channels
      
      long channels
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
    - depth
      
      long depth
    - height
      
      long height
    - width
      
      long width
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat extends InputType implements Serializable
  - Serialized Fields
    - depth
      
      long depth
    - height
      
      long height
    - width
      
      long width
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward extends InputType implements Serializable
  - Serialized Fields
    - size
      
      long size
    - timeDistributedFormat
      
      DataFormat timeDistributedFormat
- Class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent extends InputType implements Serializable
  - Serialized Fields
    - format
      
      RNNFormat format
    - size
      
      long size
    - timeSeriesLength
      
      long 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
      
      IActivation gateActivationFn
    - helperAllowFallback
      
      boolean helperAllowFallback
- Class org.deeplearning4j.nn.conf.layers.ActivationLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
- Class org.deeplearning4j.nn.conf.layers.AutoEncoder extends BasePretrainNetwork implements Serializable
  - Serialized Fields
    - corruptionLevel
      
      double corruptionLevel
    - sparsity
      
      double sparsity
- Class org.deeplearning4j.nn.conf.layers.BaseLayer extends Layer implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
    - biasInit
      
      double biasInit
    - biasUpdater
      
      IUpdater biasUpdater
    - gainInit
      
      double gainInit
    - gradientNormalization
      
      GradientNormalization gradientNormalization
    - gradientNormalizationThreshold
      
      double gradientNormalizationThreshold
    - iUpdater
      
      IUpdater iUpdater
    - regularization
      
      List<Regularization> regularization
    - regularizationBias
      
      List<Regularization> regularizationBias
    - weightInitFn
      
      IWeightInit weightInitFn
    - weightNoise
      
      IWeightNoise weightNoise
- Class org.deeplearning4j.nn.conf.layers.BaseOutputLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
      
      boolean hasBias
    - lossFn
      
      ILossFunction lossFn
- Class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFunction
      
      LossFunctions.LossFunction lossFunction
    - visibleBiasInit
      
      double visibleBiasInit
- Class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
    - weightInitFnRecurrent
      
      IWeightInit weightInitFnRecurrent
- Class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - size
      
      int[] size
- Class org.deeplearning4j.nn.conf.layers.BatchNormalization extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - beta
      
      double beta
    - cnn2DFormat
      
      CNN2DFormat cnn2DFormat
    - cudnnAllowFallback
      
      boolean cudnnAllowFallback
    - decay
      
      double decay
    - eps
      
      double eps
    - gamma
      
      double gamma
    - isMinibatch
      
      boolean isMinibatch
    - lockGammaBeta
      
      boolean lockGammaBeta
    - useLogStd
      
      boolean useLogStd
- Class org.deeplearning4j.nn.conf.layers.CapsuleLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - capsuleDimensions
      
      int capsuleDimensions
    - capsules
      
      int capsules
    - hasBias
      
      boolean hasBias
    - inputCapsuleDimensions
      
      long inputCapsuleDimensions
    - inputCapsules
      
      long inputCapsules
    - routings
      
      int routings
- Class org.deeplearning4j.nn.conf.layers.CapsuleStrengthLayer extends SameDiffLambdaLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - alpha
      
      double alpha
    - gradientCheck
      
      boolean gradientCheck
    - lambda
      
      double lambda
- Class org.deeplearning4j.nn.conf.layers.Cnn3DLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
    - lossFn
      
      ILossFunction lossFn
- Class org.deeplearning4j.nn.conf.layers.CnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - format
      
      CNN2DFormat format
    - lossFn
      
      ILossFunction lossFn
- Class org.deeplearning4j.nn.conf.layers.Convolution1D extends Convolution1DLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Convolution1DLayer extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.layers.Convolution2D extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Convolution3D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
    - mode
      
      ConvolutionMode mode
- Class org.deeplearning4j.nn.conf.layers.ConvolutionLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - cnn2dDataFormat
      
      CNN2DFormat cnn2dDataFormat
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - cudnnAlgoMode
      
      ConvolutionLayer.AlgoMode cudnnAlgoMode
      
      Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
    - cudnnAllowFallback
      
      boolean cudnnAllowFallback
    - cudnnBwdDataAlgo
      
      ConvolutionLayer.BwdDataAlgo cudnnBwdDataAlgo
    - cudnnBwdFilterAlgo
      
      ConvolutionLayer.BwdFilterAlgo cudnnBwdFilterAlgo
    - cudnnFwdAlgo
      
      ConvolutionLayer.FwdAlgo cudnnFwdAlgo
    - defaultValueOverriden
      
      boolean defaultValueOverriden
    - dilation
      
      int[] dilation
    - hasBias
      
      boolean hasBias
    - kernelSize
      
      int[] kernelSize
    - padding
      
      int[] padding
    - stride
      
      int[] stride
- Class org.deeplearning4j.nn.conf.layers.Deconvolution2D extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Deconvolution3D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
- Class org.deeplearning4j.nn.conf.layers.DenseLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
      
      boolean hasBias
    - hasLayerNorm
      
      boolean hasLayerNorm
- Class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - depthMultiplier
      
      int depthMultiplier
- Class org.deeplearning4j.nn.conf.layers.DropoutLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.EmbeddingLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
      
      boolean hasBias
- Class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - hasBias
      
      boolean hasBias
    - inferInputLength
      
      boolean inferInputLength
    - inputLength
      
      int inputLength
    - outputFormat
      
      RNNFormat outputFormat
- Class org.deeplearning4j.nn.conf.layers.FeedForwardLayer extends BaseLayer implements Serializable
  - Serialized Fields
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - timeDistributedFormat
      
      DataFormat timeDistributedFormat
- Class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - collapseDimensions
      
      boolean collapseDimensions
    - pnorm
      
      int pnorm
    - poolingDimensions
      
      int[] poolingDimensions
    - poolingType
      
      PoolingType poolingType
- Class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
      
      double forgetGateBiasInit
      
      Deprecated.
    - gateActivationFn
      
      IActivation gateActivationFn
      
      Deprecated.
    - helperAllowFallback
      
      boolean helperAllowFallback
      
      Deprecated.
- Class org.deeplearning4j.nn.conf.layers.GravesLSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
      
      double forgetGateBiasInit
      
      Deprecated.
    - gateActivationFn
      
      IActivation gateActivationFn
      
      Deprecated.
- Class org.deeplearning4j.nn.conf.layers.Layer extends Object implements Serializable
  - Serialized Fields
    - constraints
      
      List<LayerConstraint> constraints
    - iDropout
      
      IDropout iDropout
    - layerName
      
      String layerName
- Class org.deeplearning4j.nn.conf.layers.LearnedSelfAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - headSize
      
      long headSize
    - nHeads
      
      int nHeads
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - nQueries
      
      int nQueries
    - projectInput
      
      boolean projectInput
- Class org.deeplearning4j.nn.conf.layers.LocallyConnected1D extends SameDiffLayer implements Serializable
  - Serialized Fields
    - activation
      
      Activation activation
    - cm
      
      ConvolutionMode cm
    - dilation
      
      int dilation
    - featureDim
      
      int featureDim
    - hasBias
      
      boolean hasBias
    - inputSize
      
      int inputSize
    - kernel
      
      int kernel
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - outputSize
      
      int outputSize
    - padding
      
      int padding
    - paddingR
      
      int paddingR
    - stride
      
      int stride
- Class org.deeplearning4j.nn.conf.layers.LocallyConnected2D extends SameDiffLayer implements Serializable
  - Serialized Fields
    - activation
      
      Activation activation
    - cm
      
      ConvolutionMode cm
    - dilation
      
      int[] dilation
    - featureDim
      
      int featureDim
    - format
      
      CNN2DFormat format
    - hasBias
      
      boolean hasBias
    - inputSize
      
      int[] inputSize
    - kernel
      
      int[] kernel
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - outputSize
      
      int[] outputSize
    - padding
      
      int[] padding
    - paddingBr
      
      int[] paddingBr
    - stride
      
      int[] stride
- Class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization extends Layer implements Serializable
  - Serialized Fields
    - alpha
      
      double alpha
    - beta
      
      double beta
    - cudnnAllowFallback
      
      boolean cudnnAllowFallback
    - dataFormat
      
      CNN2DFormat dataFormat
    - k
      
      double k
    - n
      
      double n
- Class org.deeplearning4j.nn.conf.layers.LossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
      
      ILossFunction lossFn
- Class org.deeplearning4j.nn.conf.layers.LSTM extends AbstractLSTM implements Serializable
  - Serialized Fields
    - forgetGateBiasInit
      
      double forgetGateBiasInit
    - gateActivationFn
      
      IActivation gateActivationFn
- Class org.deeplearning4j.nn.conf.layers.NoParamLayer extends Layer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.OutputLayer extends BaseOutputLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Pooling1D extends Subsampling1DLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Pooling2D extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.PReLULayer extends BaseLayer implements Serializable
  - Serialized Fields
    - inputShape
      
      long[] inputShape
    - nIn
      
      int nIn
    - nOut
      
      int nOut
    - sharedAxes
      
      long[] sharedAxes
- Class org.deeplearning4j.nn.conf.layers.PrimaryCapsules extends SameDiffLayer implements Serializable
  - Serialized Fields
    - capsuleDimensions
      
      int capsuleDimensions
    - capsules
      
      int capsules
    - channels
      
      int channels
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - dilation
      
      int[] dilation
    - hasBias
      
      boolean hasBias
    - inputChannels
      
      int inputChannels
    - kernelSize
      
      int[] kernelSize
    - leak
      
      double leak
    - padding
      
      int[] padding
    - stride
      
      int[] stride
    - useRelu
      
      boolean useRelu
- Class org.deeplearning4j.nn.conf.layers.RecurrentAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - activation
      
      Activation activation
    - hasBias
      
      boolean hasBias
    - headSize
      
      long headSize
    - nHeads
      
      int nHeads
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - projectInput
      
      boolean projectInput
    - timeSteps
      
      int timeSteps
- Class org.deeplearning4j.nn.conf.layers.RnnLossLayer extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - lossFn
      
      ILossFunction lossFn
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.layers.RnnOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.layers.SelfAttentionLayer extends SameDiffLayer implements Serializable
  - Serialized Fields
    - headSize
      
      long headSize
    - nHeads
      
      int nHeads
    - nIn
      
      long nIn
    - nOut
      
      long nOut
    - projectInput
      
      boolean projectInput
- Class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D extends ConvolutionLayer implements Serializable
  - Serialized Fields
    - depthMultiplier
      
      int depthMultiplier
- Class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - blocks
      
      int[] blocks
    - format
      
      CNN2DFormat format
    - padding
      
      int[][] padding
- Class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - blockSize
      
      int blockSize
    - dataFormat
      
      CNN2DFormat dataFormat
- Class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - cudnnAllowFallback
      
      boolean cudnnAllowFallback
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
    - dilation
      
      int[] dilation
    - kernelSize
      
      int[] kernelSize
    - padding
      
      int[] padding
    - poolingType
      
      PoolingType poolingType
    - stride
      
      int[] stride
- Class org.deeplearning4j.nn.conf.layers.SubsamplingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - avgPoolIncludePadInDivisor
      
      boolean avgPoolIncludePadInDivisor
    - cnn2dDataFormat
      
      CNN2DFormat cnn2dDataFormat
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - cudnnAllowFallback
      
      boolean cudnnAllowFallback
    - defaultValueOverridden
      
      boolean defaultValueOverridden
    - dilation
      
      int[] dilation
    - eps
      
      double eps
    - kernelSize
      
      int[] kernelSize
    - padding
      
      int[] padding
    - pnorm
      
      int pnorm
    - poolingType
      
      PoolingType poolingType
    - stride
      
      int[] stride
- Class org.deeplearning4j.nn.conf.layers.Upsampling1D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - size
      
      int[] size
- Class org.deeplearning4j.nn.conf.layers.Upsampling2D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - format
      
      CNN2DFormat format
    - size
      
      int[] size
- Class org.deeplearning4j.nn.conf.layers.Upsampling3D extends BaseUpsamplingLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      Convolution3D.DataFormat dataFormat
    - size
      
      int[] size
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
      
      int[] padding
- Class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - padding
      
      int[] padding
- Class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer extends NoParamLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      CNN2DFormat dataFormat
    - padding
      
      int[] padding
Package org.deeplearning4j.nn.conf.layers.convolutional
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
    - dataFormat
      
      CNN2DFormat dataFormat
- Class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D extends NoParamLayer implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
Package org.deeplearning4j.nn.conf.layers.misc
- Class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer extends FeedForwardLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer extends Layer implements Serializable
  - Serialized Fields
    - layer
      
      Layer layer
- Class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop extends BaseWrapperLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.misc.RepeatVector extends FeedForwardLayer implements Serializable
  - Serialized Fields
    - dataFormat
      
      RNNFormat dataFormat
    - n
      
      int n
Package org.deeplearning4j.nn.conf.layers.objdetect
- Class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer extends Layer implements Serializable
  - Serialized Fields
    - boundingBoxes
      
      INDArray boundingBoxes
    - format
      
      CNN2DFormat format
    - lambdaCoord
      
      double lambdaCoord
    - lambdaNoObj
      
      double lambdaNoObj
    - lossClassPredictions
      
      ILossFunction lossClassPredictions
    - lossPositionScale
      
      ILossFunction lossPositionScale
Package org.deeplearning4j.nn.conf.layers.recurrent
- Class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional extends Layer implements Serializable
  - Serialized Fields
    - bwd
      
      Layer bwd
    - fwd
      
      Layer fwd
    - mode
      
      Bidirectional.Mode mode
- Class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep extends BaseWrapperLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn extends BaseRecurrentLayer implements Serializable
  - Serialized Fields
    - hasLayerNorm
      
      boolean hasLayerNorm
- Class org.deeplearning4j.nn.conf.layers.recurrent.TimeDistributed extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
Package org.deeplearning4j.nn.conf.layers.samediff
- Class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer extends Layer implements Serializable
  - Serialized Fields
    - biasUpdater
      
      IUpdater biasUpdater
    - gradientNormalization
      
      GradientNormalization gradientNormalization
    - gradientNormalizationThreshold
      
      double gradientNormalizationThreshold
    - layerParams
      
      SDLayerParams layerParams
    - regularization
      
      List<Regularization> regularization
    - regularizationBias
      
      List<Regularization> regularizationBias
    - updater
      
      IUpdater updater
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer extends SameDiffLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex extends SameDiffVertex implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer extends AbstractSameDiffLayer implements Serializable
  - Serialized Fields
    - paramWeightInit
      
      Map<String,IWeightInit> paramWeightInit
    - weightInit
      
      WeightInit weightInit
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer extends AbstractSameDiffLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex extends GraphVertex implements Serializable
  - Serialized Fields
    - biasUpdater
      
      IUpdater biasUpdater
    - dataType
      
      DataType dataType
    - gradientNormalization
      
      GradientNormalization gradientNormalization
    - gradientNormalizationThreshold
      
      double gradientNormalizationThreshold
    - name
      
      String name
    - regularization
      
      List<Regularization> regularization
    - regularizationBias
      
      List<Regularization> regularizationBias
    - updater
      
      IUpdater updater
    - vertexParams
      
      SDVertexParams vertexParams
- Class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams extends Object implements Serializable
  - Serialized Fields
    - biasParams
      
      Map<String,long[]> biasParams
    - biasParamsList
      
      List<String> biasParamsList
    - paramsList
      
      List<String> paramsList
    - weightParams
      
      Map<String,long[]> weightParams
    - weightParamsList
      
      List<String> weightParamsList
- Class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams extends SDLayerParams implements Serializable
  - Serialized Fields
    - inputs
      
      List<String> inputs
Package org.deeplearning4j.nn.conf.layers.util
- Class org.deeplearning4j.nn.conf.layers.util.MaskLayer extends NoParamLayer implements Serializable
- Class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer extends BaseWrapperLayer implements Serializable
  
  serialVersionUID:
  
  9074525846200921839L
  - Serialized Fields
    - maskingValue
      
      double maskingValue
Package org.deeplearning4j.nn.conf.layers.variational
- Class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
- Class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - distributionSizes
      
      int[] distributionSizes
    - reconstructionDistributions
      
      ReconstructionDistribution[] reconstructionDistributions
    - totalSize
      
      int totalSize
- Class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
- Class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution extends Object implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
- Class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper extends Object implements Serializable
  - Serialized Fields
    - activationFn
      
      IActivation activationFn
    - lossFunction
      
      ILossFunction lossFunction
- Class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder extends BasePretrainNetwork implements Serializable
  - Serialized Fields
    - decoderLayerSizes
      
      int[] decoderLayerSizes
    - encoderLayerSizes
      
      int[] encoderLayerSizes
    - numSamples
      
      int numSamples
    - outputDistribution
      
      ReconstructionDistribution outputDistribution
    - pzxActivationFn
      
      IActivation pzxActivationFn
Package org.deeplearning4j.nn.conf.layers.wrapper
- Class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer extends Layer implements Serializable
  - Serialized Fields
    - underlying
      
      Layer underlying
Package org.deeplearning4j.nn.conf.ocnn
- Class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer extends BaseOutputLayer implements Serializable
  - Serialized Fields
    - configureR
      
      boolean configureR
    - hiddenSize
      
      int hiddenSize
    - initialRValue
      
      double initialRValue
    - lastEpochSinceRUpdated
      
      int lastEpochSinceRUpdated
      
      Psuedo code from keras: start_time = time.time() for epoch in range(100): # Train with each example sess.run(updates, feed_dict={X: train_X,r:rvalue}) rvalue = nnScore(train_X, w_1, w_2, g) with sess.as_default(): rvalue = rvalue.eval() rvalue = np.percentile(rvalue,q=100*nu) print("Epoch = %d, r = %f" % (epoch + 1,rvalue))
    - nu
      
      double nu
    - windowSize
      
      int windowSize
Package org.deeplearning4j.nn.conf.preprocessor
- Class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor extends Object implements Serializable
- Class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputDepth
      
      long inputDepth
    - inputHeight
      
      long inputHeight
    - inputWidth
      
      long inputWidth
    - isNCDHW
      
      boolean isNCDHW
    - numChannels
      
      long numChannels
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - format
      
      CNN2DFormat format
    - inputHeight
      
      long inputHeight
    - inputWidth
      
      long inputWidth
    - numChannels
      
      long numChannels
- Class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
      
      long inputHeight
    - inputWidth
      
      long inputWidth
    - numChannels
      
      long numChannels
    - product
      
      long product
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - inputPreProcessors
      
      InputPreProcessor[] inputPreProcessors
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputDepth
      
      int inputDepth
    - inputHeight
      
      int inputHeight
    - inputWidth
      
      int inputWidth
    - isNCDHW
      
      boolean isNCDHW
    - numChannels
      
      int numChannels
    - shape
      
      long[] shape
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
      
      long inputHeight
    - inputWidth
      
      long inputWidth
    - numChannels
      
      long numChannels
    - shape
      
      long[] shape
- Class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor extends Object implements Serializable
  - Serialized Fields
    - inputHeight
      
      int inputHeight
    - inputWidth
      
      int inputWidth
    - numChannels
      
      int numChannels
    - product
      
      int product
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
- Class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor extends Object implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
Package org.deeplearning4j.nn.conf.serde
- Class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer extends org.nd4j.shade.jackson.databind.deser.std.StdDeserializer<T> implements Serializable
  - Serialized Fields
    - defaultDeserializer
      
      org.nd4j.shade.jackson.databind.JsonDeserializer<?> defaultDeserializer
- Class org.deeplearning4j.nn.conf.serde.ComputationGraphConfigurationDeserializer extends BaseNetConfigDeserializer<ComputationGraphConfiguration> implements Serializable
- Class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer extends BaseNetConfigDeserializer<MultiLayerConfiguration> implements Serializable
Package org.deeplearning4j.nn.conf.stepfunctions
- Class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  890156465738412597L
- Class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  -2078308971477295356L
- Class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  -7172373342318047825L
- Class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction extends StepFunction implements Serializable
  
  serialVersionUID:
  
  1180651861332789690L
- Class org.deeplearning4j.nn.conf.stepfunctions.StepFunction extends Object implements Serializable
  
  serialVersionUID:
  
  -1884835867123371330L
Package org.deeplearning4j.nn.conf.weightnoise
- Class org.deeplearning4j.nn.conf.weightnoise.DropConnect extends Object implements Serializable
  - Serialized Fields
    - applyToBiases
      
      boolean applyToBiases
    - weightRetainProb
      
      double weightRetainProb
    - weightRetainProbSchedule
      
      ISchedule weightRetainProbSchedule
- Class org.deeplearning4j.nn.conf.weightnoise.WeightNoise extends Object implements Serializable
  - Serialized Fields
    - additive
      
      boolean additive
    - applyToBias
      
      boolean applyToBias
    - distribution
      
      Distribution distribution
Package org.deeplearning4j.nn.gradient
- Class org.deeplearning4j.nn.gradient.DefaultGradient extends Object implements Serializable
  - Serialized Fields
    - flattenedGradient
      
      INDArray flattenedGradient
    - flatteningOrders
      
      Map<String,Character> flatteningOrders
    - gradients
      
      Map<String,INDArray> gradients
Package org.deeplearning4j.nn.graph
- Class org.deeplearning4j.nn.graph.ComputationGraph extends Object implements Serializable
  - Serialization Methods
    - readObject
      
      private void readObject(ObjectInputStream ois) throws ClassNotFoundException, IOException
      
      Throws:
      
      ClassNotFoundException
      
      IOException
    - writeObject
      
      private void writeObject(ObjectOutputStream oos) throws IOException
      
      Throws:
      
      IOException
  - Serialized Fields
    - clearTbpttState
      
      boolean clearTbpttState
    - configuration
      
      ComputationGraphConfiguration configuration
    - defaultConfiguration
      
      NeuralNetConfiguration defaultConfiguration
    - flattenedParams
      
      INDArray flattenedParams
    - gradient
      
      Gradient gradient
    - graphIndices
      
      GraphIndices graphIndices
      
      Topological sort and vertex index/name + name/index mapping
    - initCalled
      
      boolean initCalled
    - initDone
      
      boolean initDone
    - 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
    - score
      
      double score
    - 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.
    - trainingListeners
      
      Collection<TrainingListener> trainingListeners
    - vertices
      
      GraphVertex[] vertices
      
      All GraphVertex objects in the network.
    - verticesMap
      
      Map<String,GraphVertex> verticesMap
      
      Map of vertices by name
    - WS_LAYER_ACT_X_CONFIG
      
      WorkspaceConfiguration WS_LAYER_ACT_X_CONFIG
    - WS_LAYER_WORKING_MEM_CONFIG
      
      WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG
Package org.deeplearning4j.nn.graph.vertex
- Class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex extends Object implements Serializable
  - Serialized Fields
    - dataType
      
      DataType dataType
    - epsilon
      
      INDArray epsilon
    - graph
      
      ComputationGraph graph
    - inputs
      
      INDArray[] inputs
    - 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
    - outputVertex
      
      boolean outputVertex
    - 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
    - vertexIndex
      
      int vertexIndex
      
      The index of this vertex
    - vertexName
      
      String vertexName
- Class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex extends Object implements Serializable
  - Serialized Fields
    - underlying
      
      GraphVertex underlying
- Class org.deeplearning4j.nn.graph.vertex.VertexIndices extends Object implements Serializable
  - Serialized Fields
    - vertexEdgeNumber
      
      int vertexEdgeNumber
    - vertexIndex
      
      int vertexIndex
Package org.deeplearning4j.nn.graph.vertex.impl
- Class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - nInForwardPass
      
      int nInForwardPass
    - op
      
      ElementWiseVertex.Op op
- Class org.deeplearning4j.nn.graph.vertex.impl.FrozenVertex extends BaseWrapperVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.InputVertex extends BaseGraphVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - dimension
      
      int[] dimension
    - eps
      
      double eps
- Class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - eps
      
      double eps
- Class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - layer
      
      Layer layer
    - layerPreProcessor
      
      InputPreProcessor layerPreProcessor
    - setLayerInput
      
      boolean setLayerInput
- Class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - forwardPassShapes
      
      long[][] forwardPassShapes
    - fwdPassRank
      
      int fwdPassRank
    - mergeAxis
      
      int mergeAxis
- Class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex extends BaseGraphVertex implements Serializable
- Class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - preProcessor
      
      InputPreProcessor preProcessor
- Class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - maskShape
      
      int[] maskShape
    - newShape
      
      int[] newShape
    - order
      
      char order
- Class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - scaleFactor
      
      double scaleFactor
- Class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - shiftFactor
      
      double shiftFactor
- Class org.deeplearning4j.nn.graph.vertex.impl.StackVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - lastInputShapes
      
      long[][] lastInputShapes
- Class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - forwardShape
      
      long[] forwardShape
    - from
      
      int from
    - to
      
      int to
- Class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - forwardShape
      
      long[] forwardShape
    - from
      
      long from
    - stackSize
      
      int stackSize
    - step
      
      long step
Package org.deeplearning4j.nn.graph.vertex.impl.rnn
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - inputName
      
      String inputName
    - inputVertexIndex
      
      int inputVertexIndex
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - fwdPassShape
      
      long[] fwdPassShape
      
      Shape of the forward pass activations
    - fwdPassTimeSteps
      
      int[] fwdPassTimeSteps
      
      Indexes of the time steps that were extracted, for each example
    - inputIdx
      
      int inputIdx
    - inputName
      
      String inputName
- Class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - inputIdx
      
      int inputIdx
    - inputName
      
      String inputName
Package org.deeplearning4j.nn.layers
- Class org.deeplearning4j.nn.layers.AbstractLayer extends Object implements Serializable
  - Serialized Fields
    - cacheMode
      
      CacheMode cacheMode
    - conf
      
      NeuralNetConfiguration conf
    - dataType
      
      DataType dataType
    - dropoutApplied
      
      boolean dropoutApplied
    - epochCount
      
      int epochCount
    - index
      
      int index
    - input
      
      INDArray input
    - inputModificationAllowed
      
      boolean inputModificationAllowed
    - iterationCount
      
      int iterationCount
    - maskArray
      
      INDArray maskArray
    - maskState
      
      MaskState maskState
    - preOutput
      
      INDArray preOutput
    - trainingListeners
      
      Collection<TrainingListener> trainingListeners
- 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
    - gradient
      
      Gradient gradient
    - gradientsFlattened
      
      INDArray gradientsFlattened
    - optimizer
      
      ConvexOptimizer optimizer
    - params
      
      Map<String,INDArray> params
    - paramsFlattened
      
      INDArray paramsFlattened
    - score
      
      double score
    - solver
      
      Solver solver
    - weightNoiseParams
      
      Map<String,INDArray> weightNoiseParams
- Class org.deeplearning4j.nn.layers.BaseOutputLayer extends BaseLayer<LayerConfT extends BaseOutputLayer> implements Serializable
  - Serialized Fields
    - fullNetRegTerm
      
      double fullNetRegTerm
    - inputMaskArray
      
      INDArray inputMaskArray
    - inputMaskArrayState
      
      MaskState inputMaskArrayState
    - labels
      
      INDArray labels
- Class org.deeplearning4j.nn.layers.BasePretrainNetwork extends BaseLayer<LayerConfT extends BasePretrainNetwork> implements Serializable
- Class org.deeplearning4j.nn.layers.DropoutLayer extends BaseLayer<DropoutLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.FrozenLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - logFit
      
      boolean logFit
    - logGradient
      
      boolean logGradient
    - logTestMode
      
      boolean logTestMode
    - logUpdate
      
      boolean logUpdate
    - zeroGradient
      
      Gradient zeroGradient
- Class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - logFit
      
      boolean logFit
    - logGradient
      
      boolean logGradient
    - logTestMode
      
      boolean logTestMode
    - logUpdate
      
      boolean logUpdate
    - zeroGradient
      
      Gradient zeroGradient
- Class org.deeplearning4j.nn.layers.LossLayer extends BaseLayer<LossLayer> implements Serializable
  - Serialized Fields
    - fullNetworkRegularizationScore
      
      double fullNetworkRegularizationScore
    - labels
      
      INDArray labels
- Class org.deeplearning4j.nn.layers.OutputLayer extends BaseOutputLayer<OutputLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.RepeatVector extends AbstractLayer<RepeatVector> implements Serializable
Package org.deeplearning4j.nn.layers.convolution
- Class org.deeplearning4j.nn.layers.convolution.Cnn3DLossLayer extends BaseLayer<Cnn3DLossLayer> implements Serializable
  - Serialized Fields
    - labels
      
      INDArray labels
- Class org.deeplearning4j.nn.layers.convolution.CnnLossLayer extends BaseLayer<CnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
      
      INDArray labels
- Class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer extends BaseLayer<ConvolutionLayer> implements Serializable
  - Serialized Fields
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - helper
      
      ConvolutionHelper helper
    - helperCountFail
      
      int helperCountFail
    - i2d
      
      INDArray i2d
- Class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer extends AbstractLayer<Cropping1D> implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
- Class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer extends AbstractLayer<Cropping2D> implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
- Class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer extends AbstractLayer<Cropping3D> implements Serializable
  - Serialized Fields
    - cropping
      
      int[] cropping
- Class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.Deconvolution3DLayer extends BaseLayer<Deconvolution3D> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer extends ConvolutionLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SpaceToBatch extends AbstractLayer<SpaceToBatchLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.SpaceToDepth extends AbstractLayer<SpaceToDepthLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer extends AbstractLayer<ZeroPadding1DLayer> implements Serializable
  - Serialized Fields
    - padding
      
      int[] padding
- Class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer extends AbstractLayer<ZeroPadding3DLayer> implements Serializable
  - Serialized Fields
    - padding
      
      int[] padding
- Class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer extends AbstractLayer<ZeroPaddingLayer> implements Serializable
Package org.deeplearning4j.nn.layers.convolution.subsampling
- Class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer extends SubsamplingLayer implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer extends AbstractLayer<Subsampling3DLayer> implements Serializable
  - Serialized Fields
    - convolutionMode
      
      ConvolutionMode convolutionMode
- Class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer extends AbstractLayer<SubsamplingLayer> implements Serializable
  - Serialized Fields
    - convolutionMode
      
      ConvolutionMode convolutionMode
    - helper
      
      SubsamplingHelper helper
    - helperCountFail
      
      int helperCountFail
Package org.deeplearning4j.nn.layers.convolution.upsampling
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D extends Upsampling2D implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D extends AbstractLayer<Upsampling2D> implements Serializable
- Class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D extends AbstractLayer<Upsampling3D> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward
- Class org.deeplearning4j.nn.layers.feedforward.PReLU extends BaseLayer<PReLULayer> implements Serializable
  - Serialized Fields
    - axes
      
      long[] axes
Package org.deeplearning4j.nn.layers.feedforward.autoencoder
- Class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder extends BasePretrainNetwork<AutoEncoder> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive
- Class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree extends Object implements Serializable
  - Serialized Fields
    - begin
      
      int begin
    - children
      
      List<Tree> children
    - end
      
      int end
    - error
      
      double error
    - goldLabel
      
      int goldLabel
    - headWord
      
      String headWord
    - label
      
      String label
    - parent
      
      Tree parent
    - parse
      
      String parse
    - prediction
      
      INDArray prediction
    - tags
      
      List<String> tags
    - tokens
      
      List<String> tokens
    - type
      
      String type
    - value
      
      String value
    - vector
      
      INDArray vector
Package org.deeplearning4j.nn.layers.feedforward.dense
- Class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer extends BaseLayer<DenseLayer> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.elementwise
- Class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer extends BaseLayer<ElementWiseMultiplicationLayer> implements Serializable
Package org.deeplearning4j.nn.layers.feedforward.embedding
- Class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer extends BaseLayer<EmbeddingLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer extends BaseLayer<EmbeddingSequenceLayer> implements Serializable
  - Serialized Fields
    - indexes
      
      int[] indexes
Package org.deeplearning4j.nn.layers.normalization
- Class org.deeplearning4j.nn.layers.normalization.BatchNormalization extends BaseLayer<BatchNormalization> implements Serializable
  - Serialized Fields
    - helper
      
      BatchNormalizationHelper helper
    - helperCountFail
      
      int helperCountFail
    - index
      
      int index
    - listeners
      
      List<TrainingListener> listeners
    - std
      
      INDArray std
    - xHat
      
      INDArray xHat
    - xMu
      
      INDArray xMu
- Class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization extends AbstractLayer<LocalResponseNormalization> implements Serializable
  - Serialized Fields
    - helper
      
      LocalResponseNormalizationHelper helper
    - helperCountFail
      
      int helperCountFail
Package org.deeplearning4j.nn.layers.objdetect
- Class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer extends AbstractLayer<Yolo2OutputLayer> implements Serializable
  - Serialized Fields
    - fullNetRegTerm
      
      double fullNetRegTerm
    - labels
      
      INDArray labels
    - score
      
      double score
Package org.deeplearning4j.nn.layers.ocnn
- Class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer extends BaseOutputLayer<OCNNOutputLayer> implements Serializable
  - Serialized Fields
    - activation
      
      IActivation activation
    - batchWindowSizeIndex
      
      int batchWindowSizeIndex
    - lossFunction
      
      ILossFunction lossFunction
    - window
      
      INDArray window
- Class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction extends Object implements Serializable
Package org.deeplearning4j.nn.layers.pooling
- Class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer extends AbstractLayer<GlobalPoolingLayer> implements Serializable
  - Serialized Fields
    - pNorm
      
      int pNorm
    - poolingDimensions
      
      int[] poolingDimensions
    - poolingType
      
      PoolingType poolingType
Package org.deeplearning4j.nn.layers.recurrent
- Class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer extends BaseLayer<LayerConfT extends BaseRecurrentLayer> implements Serializable
  - Serialized Fields
    - helperCountFail
      
      int helperCountFail
    - stateMap
      
      Map<String,INDArray> stateMap
      
      stateMap stores the INDArrays needed to do rnnTimeStep() forward pass.
    - tBpttStateMap
      
      Map<String,INDArray> tBpttStateMap
      
      State map for use specifically in truncated BPTT training. Whereas stateMap contains the state from which forward pass is initialized, the tBpttStateMap contains the state at the end of the last truncated bptt
- Class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer extends Object implements Serializable
  - Serialized Fields
    - bwd
      
      Layer bwd
    - conf
      
      NeuralNetConfiguration conf
    - fwd
      
      Layer fwd
    - gradientView
      
      INDArray gradientView
    - input
      
      INDArray input
    - layerConf
      
      Bidirectional layerConf
    - outBwd
      
      INDArray outBwd
    - outFwd
      
      INDArray outFwd
    - paramsView
      
      INDArray paramsView
- Class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM extends BaseRecurrentLayer<GravesBidirectionalLSTM> implements Serializable
  - Serialized Fields
    - cachedPassBackward
      
      FwdPassReturn cachedPassBackward
    - cachedPassForward
      
      FwdPassReturn cachedPassForward
- Class org.deeplearning4j.nn.layers.recurrent.GravesLSTM extends BaseRecurrentLayer<GravesLSTM> implements Serializable
  - Serialized Fields
    - cachedFwdPass
      
      FwdPassReturn cachedFwdPass
      
      Deprecated.
- Class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - lastTimeStepIdxs
      
      int[] lastTimeStepIdxs
    - origOutputShape
      
      long[] origOutputShape
- Class org.deeplearning4j.nn.layers.recurrent.LSTM extends BaseRecurrentLayer<LSTM> implements Serializable
  - Serialized Fields
    - cachedFwdPass
      
      FwdPassReturn cachedFwdPass
    - helper
      
      LSTMHelper helper
- Class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer extends BaseWrapperLayer implements Serializable
  
  serialVersionUID:
  
  -7369482676002469854L
  - Serialized Fields
    - maskingValue
      
      double maskingValue
- Class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer extends BaseLayer<RnnLossLayer> implements Serializable
  - Serialized Fields
    - labels
      
      INDArray labels
- Class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer extends BaseOutputLayer<RnnOutputLayer> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.SimpleRnn extends BaseRecurrentLayer<SimpleRnn> implements Serializable
- Class org.deeplearning4j.nn.layers.recurrent.TimeDistributedLayer extends BaseWrapperLayer implements Serializable
  - Serialized Fields
    - rnnDataFormat
      
      RNNFormat rnnDataFormat
Package org.deeplearning4j.nn.layers.samediff
- Class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex extends BaseGraphVertex implements Serializable
  - Serialized Fields
    - config
      
      SameDiffVertex config
    - currentMaskState
      
      MaskState currentMaskState
    - fn
      
      ExternalErrorsFunction fn
    - gradients
      
      INDArray gradients
    - gradTable
      
      Map<String,INDArray> gradTable
    - inputVars
      
      Map<String,SDVariable> inputVars
    - maskArrays
      
      INDArray[] maskArrays
    - minibatchSize
      
      int minibatchSize
    - outputKey
      
      String outputKey
    - outputVar
      
      SDVariable outputVar
    - params
      
      INDArray params
    - paramTable
      
      Map<String,INDArray> paramTable
    - sameDiff
      
      SameDiff sameDiff
- Class org.deeplearning4j.nn.layers.samediff.SameDiffLayer extends AbstractLayer<AbstractSameDiffLayer> implements Serializable
  - Serialized Fields
    - fn
      
      ExternalErrorsFunction fn
    - gradients
      
      INDArray gradients
    - gradTable
      
      Map<String,INDArray> gradTable
    - outputKey
      
      String outputKey
    - outputVar
      
      SDVariable outputVar
    - params
      
      INDArray params
    - paramTable
      
      Map<String,INDArray> paramTable
    - sameDiff
      
      SameDiff sameDiff
- Class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer extends AbstractLayer<SameDiffOutputLayer> implements Serializable
  - Serialized Fields
    - gradients
      
      INDArray gradients
    - gradTable
      
      Map<String,INDArray> gradTable
    - labels
      
      INDArray labels
    - outputKey
      
      String outputKey
    - outputVar
      
      SDVariable outputVar
    - params
      
      INDArray params
    - paramTable
      
      Map<String,INDArray> paramTable
    - sameDiff
      
      SameDiff sameDiff
Package org.deeplearning4j.nn.layers.training
- Class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer extends BaseOutputLayer<CenterLossOutputLayer> implements Serializable
  - Serialized Fields
    - fullNetRegTerm
      
      double fullNetRegTerm
Package org.deeplearning4j.nn.layers.util
- Class org.deeplearning4j.nn.layers.util.IdentityLayer extends SameDiffLambdaLayer implements Serializable
- Class org.deeplearning4j.nn.layers.util.MaskLayer extends AbstractLayer<MaskLayer> implements Serializable
  - Serialized Fields
    - emptyGradient
      
      Gradient emptyGradient

Package org.deeplearning4j.nn.layers.variational

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

Serialized Fields

cacheMode
```
CacheMode cacheMode
```
conf
```
NeuralNetConfiguration conf
```
dataType
```
DataType dataType
```
decoderLayerSizes
```
int[] decoderLayerSizes
```
encoderLayerSizes
```
int[] encoderLayerSizes
```
epochCount
```
int epochCount
```
gradient
```
Gradient gradient
```
gradientsFlattened
```
INDArray gradientsFlattened
```
index
```
int index
```
input
```
INDArray input
```
iterationCount
```
int iterationCount
```
maskArray
```
INDArray maskArray
```
numSamples
```
int numSamples
```
optimizer
```
ConvexOptimizer optimizer
```
params
```
Map<String,INDArray> params
```
paramsFlattened
```
INDArray paramsFlattened
```
pzxActivationFn
```
IActivation pzxActivationFn
```

reconstructionDistribution

ReconstructionDistribution reconstructionDistribution

score
```
double score
```
solver
```
Solver solver
```

trainingListeners

Collection<TrainingListener> trainingListeners

weightNoiseParams

Map<String,INDArray> weightNoiseParams

zeroedPretrainParamGradients
```
boolean zeroedPretrainParamGradients
```

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

Package org.deeplearning4j.nn.multilayer

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

Serialization Methods

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Throws:: ClassNotFoundException; IOException

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Throws:: IOException

Serialized Fields

clearTbpttState
```
boolean clearTbpttState
```

defaultConfiguration

NeuralNetConfiguration defaultConfiguration

flattenedParams
```
INDArray flattenedParams
```
gradient
```
Gradient gradient
```
initCalled
```
boolean initCalled
```
initDone
```
boolean initDone
```
input
```
INDArray input
```
labels
```
INDArray labels
```
layerIndex
```
int layerIndex
```
layerMap
```
LinkedHashMap<String,Layer> layerMap
```
layers
```
Layer[] layers
```

layerWiseConfigurations

MultiLayerConfiguration layerWiseConfigurations

mask
```
INDArray mask
```
score
```
double score
```

trainingListeners

Collection<TrainingListener> trainingListeners

WS_LAYER_ACT_X_CONFIG

WorkspaceConfiguration WS_LAYER_ACT_X_CONFIG

WS_LAYER_WORKING_MEM_CONFIG

WorkspaceConfiguration WS_LAYER_WORKING_MEM_CONFIG

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

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

Serialized Fields

accumulator
```
ThreadLocal<INDArray> accumulator
```

appliedConfiguration

WorkspaceConfiguration appliedConfiguration

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

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

Serialized Fields

allThreadThresholdAlgorithms

Map<Long,ThresholdAlgorithm> allThreadThresholdAlgorithms

atomicBoundary
```
AtomicInteger atomicBoundary
```
bitmapMode
```
ThreadLocal<AtomicBoolean> bitmapMode
```
boundary
```
Integer boundary
```

currentThreshold

ThreadLocal<org.nd4j.shade.guava.util.concurrent.AtomicDouble> currentThreshold

encodingDebugMode
```
boolean encodingDebugMode
```

initialResidualPostProcessor

ResidualPostProcessor initialResidualPostProcessor

initialThresholdAlgorithm

ThresholdAlgorithm initialThresholdAlgorithm

iterations
```
ThreadLocal<AtomicLong> iterations
```

lastIterWasDense

ThreadLocal<AtomicBoolean> lastIterWasDense

lastSparsityRatio

ThreadLocal<org.nd4j.shade.guava.util.concurrent.AtomicDouble> lastSparsityRatio

lastStep
```
ThreadLocal<AtomicLong> lastStep
```

lastThreshold

ThreadLocal<org.nd4j.shade.guava.util.concurrent.AtomicDouble> lastThreshold

lastThresholdLogTime
```
AtomicLong lastThresholdLogTime
```

residualPostProcessor

ThreadLocal<ResidualPostProcessor> residualPostProcessor

thresholdAlgorithm

ThreadLocal<ThresholdAlgorithm> thresholdAlgorithm

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

Package org.deeplearning4j.optimize.solvers.accumulation.encoding
Package org.deeplearning4j.optimize.solvers.accumulation.encoding.residual
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.residual.NoOpResidualPostProcessor extends Object implements Serializable
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.residual.ResidualClippingPostProcessor extends Object implements Serializable
  - Serialized Fields
    - frequency
      
      int frequency
    - thresholdMultipleClipValue
      
      double thresholdMultipleClipValue
Package org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - decayRate
      
      double decayRate
    - initialThreshold
      
      double initialThreshold
    - lastSparsity
      
      double lastSparsity
    - lastThreshold
      
      double lastThreshold
    - maxTargetSparsity
      
      double maxTargetSparsity
    - minTargetSparsity
      
      double minTargetSparsity
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - threshold
      
      double threshold
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm.FixedAlgorithmThresholdReducer extends Object implements Serializable
  - Serialized Fields
    - instance
      
      FixedThresholdAlgorithm instance
- Class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.TargetSparsityThresholdAlgorithm extends Object implements Serializable
  - Serialized Fields
    - decayRate
      
      double decayRate
    - initialThreshold
      
      double initialThreshold
    - lastSparsity
      
      double lastSparsity
    - lastThreshold
      
      double lastThreshold
    - sparsityTarget
      
      double sparsityTarget
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.preprocessors
- Class org.deeplearning4j.preprocessors.KerasFlattenRnnPreprocessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - depth
      
      long depth
    - tsLength
      
      long tsLength
- Class org.deeplearning4j.preprocessors.PermutePreprocessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - hasLeadingDimension
      
      boolean hasLeadingDimension
    - permutationIndices
      
      int[] permutationIndices
- Class org.deeplearning4j.preprocessors.ReshapePreprocessor extends BaseInputPreProcessor implements Serializable
  - Serialized Fields
    - format
      
      DataFormat format
    - hasMiniBatchDimension
      
      boolean hasMiniBatchDimension
    - inputShape
      
      long[] inputShape
    - targetShape
      
      long[] targetShape

Serialized Form

Package org.deeplearning4j.earlystopping

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

Serialized Fields

epochTerminationConditions

evaluateEveryNEpochs

iterationTerminationConditions

modelSaver

saveLastModel

scoreCalculator

scoreCalculatorSupplier

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

Serialized Fields

bestModel

bestModelEpoch

bestModelScore

scoreVsEpoch

terminationDetails

terminationReason

totalEpochs

Package org.deeplearning4j.earlystopping.saver

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

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

Serialized Fields

directory

encoding

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

Serialized Fields

directory

encoding

Package org.deeplearning4j.earlystopping.scorecalc

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

Serialized Fields

evaluation

metric

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

Serialized Fields

metric

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

Serialized Fields

average

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

Serialized Fields

average

dataSetIterator

multiDataSetIterator

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

Serialized Fields

metric

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

Serialized Fields

metric

type

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

Serialized Fields

evaluation

metric

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

Serialized Fields

average

logProb

reconstructionProbNumSamples

Package org.deeplearning4j.earlystopping.scorecalc.base

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

Serialized Fields

iter

iterator

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

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

Serialized Fields

exampleCount

iterator

mdsIterator

minibatchCount

scoreSum

Package org.deeplearning4j.earlystopping.termination

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

Serialized Fields

bestExpectedScore

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

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

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

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