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

Package com.github.neuralnetworks.calculation.neuronfunctions

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

com.github.neuralnetworks.calculation.neuronfunctions.ConstantConnectionCalculator
Basic connection calculator that populates the output with a constant (for bias layers)

        lc.addConnectionCalculator(l, new ConnectionCalculatorConv());
    } else {
        lc.addConnectionCalculator(l, new ConnectionCalculatorFullyConnected());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DSigmoid());
    } else if (!Util.isSubsampling(l)) {
        lc.addConnectionCalculator(l, new AparapiSigmoid());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DTanh());
    } else {
        lc.addConnectionCalculator(l, new AparapiTanh());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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  sae.setLayerCalculator(lcTanh(sae, null));
  return sae;
    }


    public static void populateBiasLayers(LayerCalculatorImpl lc, NeuralNetwork nn) {
  nn.getLayers().stream().filter(l -> Util.isBias(l)).forEach(l -> lc.addConnectionCalculator(l, new ConstantConnectionCalculator()));
    }

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        lc.addConnectionCalculator(l, new ConnectionCalculatorConv());
    } else {
        lc.addConnectionCalculator(l, new AparapiWeightedSumConnectionCalculator());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DSigmoid());
    } else if (!Util.isSubsampling(l)) {
        lc.addConnectionCalculator(l, new AparapiSigmoid());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, outputCC);
    } else if (!Util.isSubsampling(l) && !Util.isConvolutional(l)) {
        lc.addConnectionCalculator(l, new AparapiMaxout());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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        lc.addConnectionCalculator(l, new AparapiConv2DSoftReLU());
    } else {
        lc.addConnectionCalculator(l, new AparapiSoftReLU());
    }
      } else {
    lc.addConnectionCalculator(l, new ConstantConnectionCalculator());
      }
  }


  return lc;
    }

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