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gives a null pointer at some point
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package com.tactico.tm.bugs; | |
import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
import org.deeplearning4j.nn.conf.BackpropType; | |
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; | |
import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
import org.deeplearning4j.nn.conf.Updater; | |
import org.deeplearning4j.nn.conf.inputs.InputType; | |
import org.deeplearning4j.nn.conf.layers.RnnOutputLayer; | |
import org.deeplearning4j.nn.weights.WeightInit; | |
import org.nd4j.linalg.activations.Activation; | |
import org.nd4j.linalg.lossfunctions.LossFunctions; | |
public class ValidationError { | |
public static void main (String[] args){ | |
ComputationGraphConfiguration.GraphBuilder confBuilder = new NeuralNetConfiguration.Builder() | |
.iterations(1) | |
.optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) | |
.learningRate(0.1) | |
.updater(Updater.ADAGRAD) | |
.weightInit(WeightInit.XAVIER) | |
.regularization(true).useDropConnect(true) | |
.dropOut(0.5) | |
.graphBuilder() | |
.setInputTypes(InputType.recurrent(1)) | |
.addInputs("input1"); | |
confBuilder.addLayer("output", new RnnOutputLayer.Builder(LossFunctions.LossFunction.MSE) | |
.nIn(1) | |
.nOut(1) | |
.activation(Activation.SIGMOID) | |
.build(), "input1"); | |
confBuilder.setOutputs("output"); | |
ComputationGraphConfiguration cgconf = confBuilder.pretrain(false) | |
.backprop(true).backpropType(BackpropType.Standard) | |
.build(); | |
} | |
} |
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