Package com.github.neuralnetworks.calculation.neuronfunctions

Examples of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

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      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      AparapiSoftReLU c = new AparapiSoftReLU();
      c.addActivationFunction(new SoftmaxFunction());
      lc.addConnectionCalculator(l, c);
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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    }

    public static RBMLayerCalculator rbmSoftReluSoftRelu(RBM rbm) {
  RBMLayerCalculator lc = new RBMLayerCalculator();

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


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

  populateBiasLayers(lc, rbm);

  return lc;
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      if (!Util.isBias(l)) {
    if (nn.getOutputLayer() == l) {
        if (outputCC != null) {
      lc.addConnectionCalculator(l, outputCC);
        } else {
      lc.addConnectionCalculator(l, new AparapiSoftReLU());
        }
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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    public static RBMLayerCalculator rbmSigmoidSigmoid(RBM rbm, int batchSize) {
  return new RBMLayerCalculator(rbm, batchSize, new AparapiSigmoid(), new AparapiSigmoid(), new AparapiSigmoid());
    }

    public static RBMLayerCalculator rbmSoftReluSoftRelu(RBM rbm, int batchSize) {
  AparapiSoftReLU c1 = new AparapiSoftReLU();

  AparapiSoftReLU c2 = new AparapiSoftReLU();

  AparapiSoftReLU c3 = new AparapiSoftReLU();

  return new RBMLayerCalculator(rbm, batchSize, c1, c2, c3);
    }
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Related Classes of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSoftReLU

  • com.github.neuralnetworks.architecture.types.NNFactory
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