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Fixed gradient computation

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This commit is contained in:
Michael Mandl 2015-10-17 21:02:10 +02:00
parent 26a51ce476
commit de06daaad3
2 changed files with 3 additions and 3 deletions
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4
Net.cpp
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@ -87,12 +87,12 @@ void Net::backProp(const std::vector<double> &targetValues)
}
// calculate hidden neuron gradients
for (auto it = end() - 1; it != begin(); --it)
for (auto it = end() - 1; (it - 1) != begin(); --it)
{
Layer &hiddenLayer = *(it - 1);
Layer &nextLayer = *it;
for (auto neuron : hiddenLayer)
for (Neuron &neuron : hiddenLayer)
{
neuron.calcHiddenGradients(nextLayer);
}

2
Neuron.cpp
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@ -65,7 +65,7 @@ double Neuron::sumDOW(const Layer & nextLayer) const
{
double sum = 0;
for (size_t i = 0; i < nextLayer.size() - 1; ++i)
for (size_t i = 0; i < outputWeights.size(); ++i)
{
sum += outputWeights[i] * nextLayer[i].getGradient();
}