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Java example source code file (model.json)
The model.json Java example source code{"sparsity":0.0,"useAdaGrad":true,"lr":0.10000000149011612,"corruptionLevel":0.30000001192092896,"numIterations":1000,"momentum":0.5,"l2":0.0,"useRegularization":false,"momentumAfter":null,"resetAdaGradIterations":-1,"maxNumLineSearchIterations":100,"dropOut":0.0,"applySparsity":false,"weightInit":"VI","optimizationAlgo":"CONJUGATE_GRADIENT","lossFunction":"RECONSTRUCTION_CROSSENTROPY","concatBiases":false,"constrainGradientToUnitNorm":false,"seed":123,"nIn":0,"nOut":0,"activationFunction":"sigmoid","visibleUnit":"BINARY","hiddenUnit":"BINARY","k":1,"weightShape":[0,0],"filterSize":[2,2,2,2],"numFeatureMaps":2,"featureMapSize":[2,2],"stride":[2,2],"kernel":5,"batchSize":0,"minimize":false,"rng":"org.apache.commons.math3.random.MersenneTwister","layerFactory":"org.deeplearning4j.nn.layers.factory.PretrainLayerFactory,org.deeplearning4j.models.featuredetectors.rbm.RBM","stepFunction":"org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction","renderWeightIterations":-1,"dist":"org.apache.commons.math3.distribution.NormalDistribution\t{SQRT2=1.4142135623730951, mean=0.0, solverAbsoluteAccuracy=1.0E-9, DEFAULT_INVERSE_ABSOLUTE_ACCURACY=1.0E-9, standardDeviation=0.1, logStandardDeviationPlusHalfLog2Pi=-1.3836465597893728, serialVersionUID=8589540077390120676}","listeners":["org.deeplearning4j.optimize.listeners.ScoreIterationListener\t{printIterations=10, log=Logger[org.deeplearning4j.optimize.listeners.ScoreIterationListener]},"]} Other Java examples (source code examples)Here is a short list of links related to this Java model.json source code file: |
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