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learning: naming in bp changed and qp modified

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Shin
2016-05-07 20:41:52 +02:00
parent c03a13c0f8
commit 36ce3f6463
4 changed files with 82 additions and 49 deletions
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14
include/NeuralNetwork/Learning/BackPropagation.h
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@@ -16,7 +16,7 @@ namespace Learning {
public:
inline BackPropagation(FeedForward::Network &feedForwardNetwork, CorrectionFunction::CorrectionFunction *correction = new CorrectionFunction::Linear()):
network(feedForwardNetwork), correctionFunction(correction),learningCoefficient(0.4), deltas() {
network(feedForwardNetwork), correctionFunction(correction),learningCoefficient(0.4), slopes() {
resize();
}
@@ -34,24 +34,26 @@ namespace Learning {
protected:
virtual inline void resize() {
if(deltas.size()!=network.size())
deltas.resize(network.size());
if(slopes.size()!=network.size())
slopes.resize(network.size());
for(std::size_t i=0; i < network.size(); i++) {
if(deltas[i].size()!=network[i].size())
deltas[i].resize(network[i].size());
if(slopes[i].size()!=network[i].size())
slopes[i].resize(network[i].size());
}
}
virtual void updateWeights(const std::vector<float> &input);
virtual void computeDeltas(const std::vector<float> &expectation);
FeedForward::Network &network;
CorrectionFunction::CorrectionFunction *correctionFunction;
float learningCoefficient;
std::vector<std::vector<float>> deltas;
std::vector<std::vector<float>> slopes;
};
}
}