org.deeplearning4j.rbm

Class ConvolutionalRBM

java.lang.Object

org.deeplearning4j.nn.BaseNeuralNetwork

org.deeplearning4j.rbm.RBM

org.deeplearning4j.rbm.ConvolutionalRBM

All Implemented Interfaces:

Serializable, Cloneable, NeuralNetwork, Persistable, NeuralNetEpochListener

public class ConvolutionalRBM
extends RBM

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.rbm.RBM

RBM.Builder

Nested classes/interfaces inherited from interface org.deeplearning4j.nn.NeuralNetwork

NeuralNetwork.LossFunction, NeuralNetwork.OptimizationAlgorithm

Field Summary

Fields inherited from class org.deeplearning4j.rbm.RBM

optimizer

Fields inherited from class org.deeplearning4j.nn.BaseNeuralNetwork

applySparsity, dist, doMask, dropOut, fanIn, firstTimeThrough, gradientListeners, hBias, hBiasAdaGrad, input, l2, lossFunction, momentum, nHidden, normalizeByInputRows, nVisible, optimizationAlgo, renderWeightsEveryNumEpochs, rng, sparsity, useAdaGrad, useRegularization, vBias, vBiasAdaGrad, W, wAdaGrad

Constructor Summary

Constructors

Constructor and Description
ConvolutionalRBM()

Method Summary

Methods

Modifier and Type	Method and Description
org.jblas.DoubleMatrix	pool(org.jblas.DoubleMatrix hidden)
org.jblas.DoubleMatrix	pooledExpectation(org.jblas.DoubleMatrix visible, double bias)
org.jblas.DoubleMatrix	visibleExpectation(org.jblas.DoubleMatrix visible, double bias)

Methods inherited from class org.deeplearning4j.rbm.RBM

contrastiveDivergence, freeEnergy, getGradient, gibbhVh, lossFunction, propDown, propUp, reconstruct, sampleHiddenGivenVisible, sampleVisibleGivenHidden, train, trainTillConvergence, trainTillConvergence

Methods inherited from class org.deeplearning4j.nn.BaseNeuralNetwork

applyDropOutIfNecessary, applySparsity, clone, dropOut, epochDone, fanIn, getAdaGrad, getDist, getGradientListeners, gethBias, gethBiasAdaGrad, getInput, getL2, getLossFunction, getMomentum, getnHidden, getnVisible, getOptimizationAlgorithm, getReConstructionCrossEntropy, getRenderEpochs, getRng, getSparsity, getvBias, getVBiasAdaGrad, getW, hBiasMean, initWeights, jostleWeighMatrix, l2RegularizedCoefficient, load, lossFunction, merge, negativeLogLikelihood, negativeLoglikelihood, normalizeByInputRows, resetAdaGrad, setAdaGrad, setDist, setDropOut, setFanIn, setGradientListeners, sethBias, setHbiasAdaGrad, setInput, setL2, setLossFunction, setMomentum, setnHidden, setnVisible, setOptimizationAlgorithm, setRenderEpochs, setRng, setSparsity, setvBias, setVBiasAdaGrad, setW, squaredLoss, transpose, triggerGradientEvents, update, updateGradientAccordingToParams, write

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ConvolutionalRBM

public ConvolutionalRBM()

Method Detail

visibleExpectation

public org.jblas.DoubleMatrix visibleExpectation(org.jblas.DoubleMatrix visible,
                                        double bias)

pooledExpectation

public org.jblas.DoubleMatrix pooledExpectation(org.jblas.DoubleMatrix visible,
                                       double bias)

pool

public org.jblas.DoubleMatrix pool(org.jblas.DoubleMatrix hidden)