KDTree.KDNode root
int dims
int size
HyperRect rect
double x
double y
double hw
double hh
QuadTree parent
QuadTree northWest
QuadTree northEast
QuadTree southWest
QuadTree southEast
boolean isLeaf
int size
int cumSize
Cell boundary
org.nd4j.linalg.api.ndarray.INDArray buf
org.nd4j.linalg.api.ndarray.INDArray data
org.nd4j.linalg.api.ndarray.INDArray centerOfMass
int[] index
int cursor
int numOutcomes
int inputColumns
org.nd4j.linalg.dataset.DataSet curr
int totalExamples
au.com.bytecode.opencsv.CSV csv
InputStream is
int labelColumn
org.nd4j.linalg.dataset.DataSet all
org.nd4j.linalg.dataset.DataSet data
LFWLoader loader
int batch
int numExamples
DataSetFetcher fetcher
DataSetPreProcessor preProcessor
int numPasses
int batch
DataSetIterator iter
int passes
DataSetPreProcessor preProcessor
DataSetIterator iter
DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet sampleFrom
int batchSize
int totalNumberSamples
int numTimesSampled
DataSetPreProcessor preProcessor
int curr
int batch
List<E> list
DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet data
int windowRows
int windowColumns
int cursor
DataSetIterator wrapped
int numDataSets
DataSetPreProcessor preProcessor
File image
ImageLoader loader
boolean binarize
boolean normalize
int label
int numLabels
int threshold
org.nd4j.linalg.api.ndarray.INDArray iFog
org.nd4j.linalg.api.ndarray.INDArray iFogF
org.nd4j.linalg.api.ndarray.INDArray c
org.nd4j.linalg.api.ndarray.INDArray x
org.nd4j.linalg.api.ndarray.INDArray hIn
org.nd4j.linalg.api.ndarray.INDArray hOut
org.nd4j.linalg.api.ndarray.INDArray u
org.nd4j.linalg.api.ndarray.INDArray u2
org.nd4j.linalg.api.ndarray.INDArray xi
org.nd4j.linalg.api.ndarray.INDArray xs
org.nd4j.linalg.api.ndarray.INDArray currInput
org.nd4j.linalg.api.ndarray.INDArray allInput
org.nd4j.linalg.api.ndarray.INDArray visibleLoss
org.nd4j.linalg.api.ndarray.INDArray hiddenLoss
org.nd4j.linalg.api.ndarray.INDArray cLoss
org.nd4j.linalg.api.ndarray.INDArray bLoss
org.nd4j.linalg.api.ndarray.INDArray y
double currScore
org.nd4j.linalg.api.ndarray.INDArray vector
org.nd4j.linalg.api.ndarray.INDArray prediction
List<E> children
double error
Tree parent
String headWord
String value
String label
String type
int goldLabel
List<E> tokens
List<E> tags
String parse
int begin
int end
org.nd4j.linalg.api.ndarray.INDArray sigma
org.nd4j.linalg.api.ndarray.INDArray hiddenSigma
boolean quietmode
ArrayList<E> resources
Set<E> finalParameters
boolean loadDefaults
boolean storeResource
HashMap<K,V> updatingResource
Properties properties
Properties overlay
int[] hiddenLayerSizes
List<E> confs
boolean useDropConnect
boolean useGaussNewtonVectorProductBackProp
boolean pretrain
boolean useRBMPropUpAsActivations
double dampingFactor
Map<K,V> processors
private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
double sparsity
boolean useAdaGrad
double lr
double corruptionLevel
int numIterations
double momentum
double l2
boolean useRegularization
Map<K,V> momentumAfter
int resetAdaGradIterations
double dropOut
boolean applySparsity
WeightInit weightInit
OptimizationAlgorithm optimizationAlgo
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
int renderWeightsEveryNumEpochs
boolean concatBiases
boolean constrainGradientToUnitNorm
long seed
List<E> gradientList
int nIn
int nOut
org.nd4j.linalg.api.activation.ActivationFunction activationFunction
RBM.VisibleUnit visibleUnit
RBM.HiddenUnit hiddenUnit
int k
int[] weightShape
int[] filterSize
int numFeatureMaps
int[] featureMapSize
int[] stride
int kernel
int batchSize
org.nd4j.linalg.api.ndarray.INDArray input
Map<K,V> params
NeuralNetConfiguration conf
org.nd4j.linalg.api.ndarray.INDArray dropoutMask
ParamInitializer paramInitializer
org.nd4j.linalg.api.ndarray.INDArray doMask
org.nd4j.linalg.api.ndarray.INDArray labels
Layer[] layers
org.nd4j.linalg.api.ndarray.INDArray input
org.nd4j.linalg.api.ndarray.INDArray labels
Map<K,V> weightTransforms
Map<K,V> hiddenBiasTransforms
Map<K,V> visibleBiasTransforms
boolean initCalled
NeuralNetConfiguration defaultConfiguration
MultiLayerConfiguration layerWiseConfigurations
org.nd4j.linalg.api.ndarray.INDArray mask
int wStart
int wEnd
int biasStart
int biasEnd
MultiLayerNetwork network
double patience
double patienceIncrease
double bestLoss
int validationEpochs
int miniBatchSize
org.nd4j.linalg.dataset.DataSet testSet
double improvementThreshold
MultiLayerNetwork network
int n
int d
double perplexity
double theta
org.nd4j.linalg.api.ndarray.INDArray rows
org.nd4j.linalg.api.ndarray.INDArray cols
org.nd4j.linalg.api.ndarray.INDArray vals
org.nd4j.linalg.api.ndarray.INDArray p
org.nd4j.linalg.api.ndarray.INDArray x
int numDimensions
BufferedImage image
int maxIter
double realMin
double initialMomentum
double finalMomentum
double minGain
double momentum
int switchMomentumIteration
boolean normalize
boolean usePca
int stopLyingIteration
double tolerance
double learningRate
org.nd4j.linalg.learning.AdaGrad adaGrad
boolean useAdaGrad
double perplexity
org.nd4j.linalg.api.ndarray.INDArray gains
org.nd4j.linalg.api.ndarray.INDArray yIncs
org.nd4j.linalg.api.ndarray.INDArray y
org.apache.commons.math3.random.RandomGenerator wrapped
File dir
Queue<E> paths
ScheduledExecutorService executorService
AtomicBoolean running
Queue<E> save
FingerPrintKeyer keyer
String sep
int numColumns
double metaStability
double pCorrect
org.nd4j.linalg.api.ndarray.INDArray possibleLabels
int states
double logPCorrect
double logPIncorrect
double logMetaInstability
double logOfDiangnalTProb
double logStates
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