Package com.github.neuralnetworks.calculation.neuronfunctions

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

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    if (outputCC != null && nn.getOutputLayer() == l) {
        lc.addConnectionCalculator(l, outputCC);
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSigmoid());
    } else if (!Util.isSubsampling(l)) {
        lc.addConnectionCalculator(l, new AparapiSigmoid());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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  return lc;
    }

    public static RBMLayerCalculator rbmSigmoidSigmoid(RBM rbm) {
  RBMLayerCalculator lc = new RBMLayerCalculator();
  lc.addConnectionCalculator(rbm.getVisibleLayer(), new AparapiSigmoid());
  lc.addConnectionCalculator(rbm.getHiddenLayer(), new AparapiSigmoid());
  populateBiasLayers(lc, rbm);
  return lc;
    }
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    if (outputCC != null && nn.getOutputLayer() == l) {
        lc.addConnectionCalculator(l, outputCC);
    } else if (Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiConv2DSigmoid());
    } else if (!Util.isSubsampling(l)) {
        lc.addConnectionCalculator(l, new AparapiSigmoid());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }
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    public static RBMLayerCalculator rbmWeightedSumWeightedSum(RBM rbm, int batchSize) {
  return new RBMLayerCalculator(rbm, batchSize, new AparapiWeightedSumConnectionCalculator(), new AparapiWeightedSumConnectionCalculator(), new AparapiWeightedSumConnectionCalculator());
    }

    public static RBMLayerCalculator rbmSigmoidSigmoid(RBM rbm, int batchSize) {
  return new RBMLayerCalculator(rbm, batchSize, new AparapiSigmoid(), new AparapiSigmoid(), new AparapiSigmoid());
    }
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Related Classes of com.github.neuralnetworks.calculation.neuronfunctions.AparapiSigmoid

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