Package tv.floe.metronome.classification.neuralnetworks.conf

Examples of tv.floe.metronome.classification.neuralnetworks.conf.Config

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    Vector vec = new DenseVector(2);
    vec.set(0, 1);
    vec.set(1,  2);
   
    Config c = new Config();
    c.parse(null);
   
    NeuralNetwork n1 = new NeuralNetwork();
   
    Layer l0 = Layer.createLayer(c, 0);
    Layer l1 = Layer.createLayer(c, 1);
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    Vector vec = new DenseVector(2);
    vec.set(0, 1);
    vec.set(1,  2);
   
    Config c = new Config();
    c.parse(null);
   
    NeuralNetwork n1 = new NeuralNetwork();
   
    Layer l0 = Layer.createLayer(c, 0);
    Layer l1 = Layer.createLayer(c, 1);
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    Vector vec = new DenseVector(2);
    vec.set(0, 1);
    vec.set(1,  2);
   
    Config c = new Config();
    c.parse(null);
   
    NeuralNetwork n1 = new NeuralNetwork();
   
    Layer l0 = Layer.createLayer(c, 0);
    Layer l1 = Layer.createLayer(c, 1);
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  }
 
  public void finishNNSetup() throws Exception {

   
    Config c = new Config();
    c.parse(null); // default layer: 2-3-2
        c.setConfValue("inputFunction", WeightedSum.class);
    c.setConfValue("transferFunction", Tanh.class);
    c.setConfValue("neuronType", Neuron.class);
    c.setConfValue("networkType", NeuralNetwork.NetworkType.MULTI_LAYER_PERCEPTRON);
    c.setConfValue("layerNeuronCounts", this.layerNeuronCounts );
    c.parse(null);
   
    this.nn = new MultiLayerPerceptronNetwork();
    try {
      this.nn.buildFromConf(c);
    } catch (Exception e) {
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public class TestLeastMeanSquaresLearningAlgorithm {

  @Test
  public void testTrain() throws Exception {

    Config c = new Config();
    c.parse(null); // default layer: 2-3-2
    c.setConfValue("useBiasNeuron", "true");
   
 
    int[] neurons = { 4, 16, 3 };
    c.setLayerNeuronCounts( neurons );
   
    // layers: 4, 16, 3
        MultiLayerPerceptronNetwork neuralNet = new MultiLayerPerceptronNetwork();
        neuralNet.buildFromConf(c);
   
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Related Classes of tv.floe.metronome.classification.neuralnetworks.conf.Config

  • tv.floe.metronome.classification.neuralnetworks.core.TestLayer
  • tv.floe.metronome.classification.neuralnetworks.core.TestLayerToVectorSerde
  • tv.floe.metronome.classification.neuralnetworks.core.TestNeuralNetwork
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.TestNeuralNetworkUtil
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.WorkerNode
  • tv.floe.metronome.classification.neuralnetworks.learning.TestLeastMeanSquaresLearningAlgorithm
  • tv.floe.metronome.classification.neuralnetworks.network.TestLearnXORFunctionWithMLPN
  • tv.floe.metronome.classification.neuralnetworks.network.TestMultiLayerPerceptronNetwork
  • tv.floe.metronome.classification.neuralnetworks.serde.TestNetworkSerdeMechanics
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