Removed naked double * calls
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cd1101dfe2
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8d01edb7a1
4 changed files with 1 additions and 26 deletions
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@ -24,14 +24,6 @@ void Layer::setOutputValues(const std::vector<double> & outputValues)
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}
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}
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}
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}
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void Layer::setOutputValues(const double *outputValues)
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{
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for (size_t neuronIndex = 0; neuronIndex < size(); ++neuronIndex)
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{
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at(neuronIndex).setOutputValue(outputValues[neuronIndex]);
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}
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}
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void Layer::feedForward(const Layer &inputLayer)
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void Layer::feedForward(const Layer &inputLayer)
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{
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{
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for (size_t neuronNumber = 0; neuronNumber < sizeWithoutBiasNeuron(); ++neuronNumber)
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for (size_t neuronNumber = 0; neuronNumber < sizeWithoutBiasNeuron(); ++neuronNumber)
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3
Layer.h
3
Layer.h
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@ -13,11 +13,10 @@ public:
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Layer(size_t numNeurons);
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Layer(size_t numNeurons);
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void setOutputValues(const std::vector<double> & outputValues);
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void setOutputValues(const std::vector<double> & outputValues);
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void setOutputValues(const double *outputValues);
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void feedForward(const Layer &inputLayer);
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void feedForward(const Layer &inputLayer);
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double getWeightedSum(size_t outputNeuron) const;
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double getWeightedSum(size_t outputNeuron) const;
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void connectTo(const Layer & nextLayer);
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void connectTo(const Layer &nextLayer);
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void updateInputWeights(Layer &prevLayer);
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void updateInputWeights(Layer &prevLayer);
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15
Net.cpp
15
Net.cpp
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@ -66,21 +66,6 @@ void Net::feedForward(const std::vector<double> &inputValues)
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}
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}
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}
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}
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void Net::feedForward(const double *inputValues)
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{
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Layer &inputLayer = front();
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inputLayer.setOutputValues(inputValues);
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for (auto layerIt = begin(); layerIt != end() - 1; ++layerIt)
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{
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const Layer ¤tLayer = *layerIt;
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Layer &nextLayer = *(layerIt + 1);
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nextLayer.feedForward(currentLayer);
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}
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}
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std::vector<double> Net::getOutput()
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std::vector<double> Net::getOutput()
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{
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{
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std::vector<double> result;
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std::vector<double> result;
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1
Net.h
1
Net.h
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@ -15,7 +15,6 @@ public:
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void initialize(std::initializer_list<size_t> layerSizes);
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void initialize(std::initializer_list<size_t> layerSizes);
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void feedForward(const std::vector<double> &inputValues);
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void feedForward(const std::vector<double> &inputValues);
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void feedForward(const double *inputValues);
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std::vector<double> getOutput();
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std::vector<double> getOutput();
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void backProp(const std::vector<double> &targetValues);
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void backProp(const std::vector<double> &targetValues);
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