Package com.github.neuralnetworks.calculation.neuronfunctions

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiReLU.addActivationFunction()

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    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      AparapiReLU c = new AparapiReLU();
      c.addActivationFunction(new SoftmaxFunction());
      lc.addConnectionCalculator(l, c);
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DReLU());
    } else {
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    public static RBMLayerCalculator rbmReluRelu(RBM rbm) {
  RBMLayerCalculator lc = new RBMLayerCalculator();

  AparapiReLU c1 = new AparapiReLU();
  c1.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getVisibleLayer(), c1);

  AparapiReLU c2 = new AparapiReLU();
  c2.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getHiddenLayer(), c2);
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  AparapiReLU c1 = new AparapiReLU();
  c1.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getVisibleLayer(), c1);

  AparapiReLU c2 = new AparapiReLU();
  c2.addActivationFunction(new SoftmaxFunction());
  lc.addConnectionCalculator(rbm.getHiddenLayer(), c2);

  populateBiasLayers(lc, rbm);

  return lc;
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