Java example source code file (model_multi.json)

This example Java source code file (model_multi.json) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" ^TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

binary, conjugate_gradient, max, may, pdt, rbm, reconstruction_crossentropy, tue

The model_multi.json Java example source code

{
  "hiddenLayerSizes" : [ 3, 2, 2 ],
  "confs" : [ {
    "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",
    "constrainGradientToUnitNorm" : false,
    "rng" : {
      "default" : {
        "seed" : 1430849133458
      }
    },
    "dist" : {
      "normal" : {
        "mean" : 0.1,
        "std" : 0.0
      }
    },
    "stepFunction" : {
      "default" : { }
    },
    "layer" : {
      "RBM" : { }
    },
    "variables" : [ ],
    "nIn" : 0,
    "nOut" : 0,
    "activationFunction" : "sigmoid",
    "visibleUnit" : "BINARY",
    "hiddenUnit" : "BINARY",
    "k" : 1,
    "weightShape" : [ 0, 0 ],
    "filterSize" : [ 2, 2, 2, 2 ],
    "stride" : [ 2, 2 ],
    "kernel" : 5,
    "batchSize" : 0,
    "minimize" : false,
    "l1" : 0.0,
    "featureMapSize" : [ 2, 2 ],
    "convolutionType" : "MAX"
  }, {
    "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",
    "constrainGradientToUnitNorm" : false,
    "rng" : {
      "default" : {
        "seed" : 1430849133458
      }
    },
    "dist" : {
      "normal" : {
        "mean" : 0.1,
        "std" : 0.0
      }
    },
    "stepFunction" : {
      "default" : { }
    },
    "layer" : {
      "RBM" : { }
    },
    "variables" : [ ],
    "nIn" : 0,
    "nOut" : 0,
    "activationFunction" : "sigmoid",
    "visibleUnit" : "BINARY",
    "hiddenUnit" : "BINARY",
    "k" : 1,
    "weightShape" : [ 0, 0 ],
    "filterSize" : [ 2, 2, 2, 2 ],
    "stride" : [ 2, 2 ],
    "kernel" : 5,
    "batchSize" : 0,
    "minimize" : false,
    "l1" : 0.0,
    "featureMapSize" : [ 2, 2 ],
    "convolutionType" : "MAX"
  }, {
    "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",
    "constrainGradientToUnitNorm" : false,
    "rng" : {
      "default" : {
        "seed" : 1430849133458
      }
    },
    "dist" : {
      "normal" : {
        "mean" : 0.1,
        "std" : 0.0
      }
    },
    "stepFunction" : {
      "default" : { }
    },
    "layer" : {
      "RBM" : { }
    },
    "variables" : [ ],
    "nIn" : 0,
    "nOut" : 0,
    "activationFunction" : "sigmoid",
    "visibleUnit" : "BINARY",
    "hiddenUnit" : "BINARY",
    "k" : 1,
    "weightShape" : [ 0, 0 ],
    "filterSize" : [ 2, 2, 2, 2 ],
    "stride" : [ 2, 2 ],
    "kernel" : 5,
    "batchSize" : 0,
    "minimize" : false,
    "l1" : 0.0,
    "featureMapSize" : [ 2, 2 ],
    "convolutionType" : "MAX"
  }, {
    "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",
    "constrainGradientToUnitNorm" : false,
    "rng" : {
      "default" : {
        "seed" : 1430849133458
      }
    },
    "dist" : {
      "normal" : {
        "mean" : 0.1,
        "std" : 0.0
      }
    },
    "stepFunction" : {
      "default" : { }
    },
    "layer" : {
      "RBM" : { }
    },
    "variables" : [ ],
    "nIn" : 0,
    "nOut" : 0,
    "activationFunction" : "sigmoid",
    "visibleUnit" : "BINARY",
    "hiddenUnit" : "BINARY",
    "k" : 1,
    "weightShape" : [ 0, 0 ],
    "filterSize" : [ 2, 2, 2, 2 ],
    "stride" : [ 2, 2 ],
    "kernel" : 5,
    "batchSize" : 0,
    "minimize" : false,
    "l1" : 0.0,
    "featureMapSize" : [ 2, 2 ],
    "convolutionType" : "MAX"
  } ],
  "useDropConnect" : false,
  "useGaussNewtonVectorProductBackProp" : false,
  "pretrain" : true,
  "useRBMPropUpAsActivations" : false,
  "dampingFactor" : 100.0,
  "processors" : {
    "0" : "org.deeplearning4j.nn.layers.convolution.preprocessor.ConvolutionPostProcessor\t#\n#Tue May 05 11:05:33 PDT 2015\n,"
  },
  "backward" : false
}