Examples of org.encog.engine.opencl.kernels.KernelNetworkTrain

org.encog.engine.opencl.kernels.KernelNetworkTrain
An OpenCL kernel that is designed to calculate gradients and help train a neural network.


    this.learningType = TrainFlatNetworkOpenCL.LEARN_BPROP;


    final Map<String, String> options = getOptions("LEARN_BPROP");


    this.kernel = new KernelNetworkTrain(this.profile.getDevice(),
        this.network, this.training,
        this.network.getWeights().length + 2);
    this.kernel.compile(options, this.profile, this.network);


    this.kernel.getTempDataArray()[0] = (float) learningRate;

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    this.learningType = TrainFlatNetworkOpenCL.LEARN_MANHATTAN;
    this.learningRate = learningRate;


    final Map<String, String> options = getOptions("LEARN_MANHATTAN");


    this.kernel = new KernelNetworkTrain(this.profile.getDevice(),
        this.network, this.training, 1);
    this.kernel.compile(options, this.profile, this.network);


    this.kernel.getTempDataArray()[0] = (float) learningRate;
  }

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    this.initialUpdate = initialUpdate;
    this.maxStep = maxStep;


    final Map<String, String> options = getOptions("LEARN_RPROP");


    this.kernel = new KernelNetworkTrain(this.profile.getDevice(),
        this.network, this.training,
        this.network.getWeights().length * 2);


    this.kernel.compile(options, this.profile, this.network);

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Related Classes of org.encog.engine.opencl.kernels.KernelNetworkTrain

org.encog.engine.data.EngineData

org.encog.engine.network.activation.ActivationFunction

org.encog.engine.network.train.prop.TrainFlatNetworkOpenCL

org.encog.engine.opencl.EncogCLQueue

org.encog.engine.opencl.exceptions.OpenCLError

org.encog.engine.opencl.exceptions.OutOfOpenCLResources

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