List of fullyConnected() Examples

Examples of fullyConnected()

com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  Layer leaf2 = new Layer();
  Layer output = new Layer();


  mlp.addLayer(input);


  FullyConnected fc1 = cf.fullyConnected(input, leaf1, 2, 3);
  fc1.getWeights().forEach(i -> fc1.getWeights().getElements()[i] = 0.1f);
  mlp.addConnections(fc1);


  FullyConnected fc2 = cf.fullyConnected(input, leaf2, 2, 3);
  fc2.getWeights().forEach(i -> fc2.getWeights().getElements()[i] = 0.2f);

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()


  FullyConnected fc1 = cf.fullyConnected(input, leaf1, 2, 3);
  fc1.getWeights().forEach(i -> fc1.getWeights().getElements()[i] = 0.1f);
  mlp.addConnections(fc1);


  FullyConnected fc2 = cf.fullyConnected(input, leaf2, 2, 3);
  fc2.getWeights().forEach(i -> fc2.getWeights().getElements()[i] = 0.2f);
  mlp.addConnections(fc2);


  FullyConnected fc3 = cf.fullyConnected(leaf1, output, 3, 1);
  fc3.getWeights().forEach(i -> fc3.getWeights().getElements()[i] = 0.3f);

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()


  FullyConnected fc2 = cf.fullyConnected(input, leaf2, 2, 3);
  fc2.getWeights().forEach(i -> fc2.getWeights().getElements()[i] = 0.2f);
  mlp.addConnections(fc2);


  FullyConnected fc3 = cf.fullyConnected(leaf1, output, 3, 1);
  fc3.getWeights().forEach(i -> fc3.getWeights().getElements()[i] = 0.3f);
  mlp.addConnections(fc3);
  FullyConnected fc4 = cf.fullyConnected(leaf2, output, 3, 1);
  fc4.getWeights().forEach(i -> fc4.getWeights().getElements()[i] = 0.4f);
  mlp.addConnections(fc4);

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  mlp.addConnections(fc2);


  FullyConnected fc3 = cf.fullyConnected(leaf1, output, 3, 1);
  fc3.getWeights().forEach(i -> fc3.getWeights().getElements()[i] = 0.3f);
  mlp.addConnections(fc3);
  FullyConnected fc4 = cf.fullyConnected(leaf2, output, 3, 1);
  fc4.getWeights().forEach(i -> fc4.getWeights().getElements()[i] = 0.4f);
  mlp.addConnections(fc4);


  mlp.setLayerCalculator(NNFactory.lcWeightedSum(mlp, null));

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  for (int i = 1; i < layers.length; i++) {
      int[] l = layers[i];
      Layer newLayer = null;
      Layer biasLayer = null;
      if (l.length == 1) {
    cf.fullyConnected(prev, newLayer = new Layer(), prevUnitCount, l[0]);
    if (addBias) {
        cf.fullyConnected(biasLayer = new Layer(), newLayer, 1, l[0]);
    }


    prevUnitCount = l[0];

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

      Layer newLayer = null;
      Layer biasLayer = null;
      if (l.length == 1) {
    cf.fullyConnected(prev, newLayer = new Layer(), prevUnitCount, l[0]);
    if (addBias) {
        cf.fullyConnected(biasLayer = new Layer(), newLayer, 1, l[0]);
    }


    prevUnitCount = l[0];
      } else if (l.length == 4 || l.length == 2) {
    Integer inputFMRows = null;

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

    }


    public static RBM rbm(int visibleCount, int hiddenCount, boolean addBias) {
  RBM result = new RBM();
  ConnectionFactory cf = new ConnectionFactory();
  result.addConnections(cf.fullyConnected(new Layer(), new Layer(), visibleCount, hiddenCount));


  if (addBias) {
      result.addConnections(cf.fullyConnected(new Layer(), result.getVisibleLayer(), 1, visibleCount));
      result.addConnections(cf.fullyConnected(new Layer(), result.getHiddenLayer(), 1, hiddenCount));
  }

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  RBM result = new RBM();
  ConnectionFactory cf = new ConnectionFactory();
  result.addConnections(cf.fullyConnected(new Layer(), new Layer(), visibleCount, hiddenCount));


  if (addBias) {
      result.addConnections(cf.fullyConnected(new Layer(), result.getVisibleLayer(), 1, visibleCount));
      result.addConnections(cf.fullyConnected(new Layer(), result.getHiddenLayer(), 1, hiddenCount));
  }


  return result;
    }

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  ConnectionFactory cf = new ConnectionFactory();
  result.addConnections(cf.fullyConnected(new Layer(), new Layer(), visibleCount, hiddenCount));


  if (addBias) {
      result.addConnections(cf.fullyConnected(new Layer(), result.getVisibleLayer(), 1, visibleCount));
      result.addConnections(cf.fullyConnected(new Layer(), result.getHiddenLayer(), 1, hiddenCount));
  }


  return result;
    }

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Examples of com.github.neuralnetworks.architecture.ConnectionFactory.fullyConnected()

  for (int i = 1; i < layers.length; i++) {
      RBM rbm = new RBM();
      rbm.setProperties(new Properties());
      rbm.getProperties().setParameter(Constants.CONNECTION_FACTORY, cf);


      rbm.addConnections(cf.fullyConnected(result.getOutputLayer(), new Layer(), layers[i - 1], layers[i]));


      if (addBias) {
    rbm.addConnections(cf.fullyConnected(new Layer(), rbm.getVisibleLayer(), 1, layers[i - 1]));
    rbm.addConnections(cf.fullyConnected(new Layer(), rbm.getHiddenLayer(), 1, layers[i]));
      }

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