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Back to learning all samples

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This commit is contained in:
Michael Mandl 2015-11-15 16:09:25 +01:00
parent 5e32724b1a
commit 0f7c617f9c
1 changed files with 3 additions and 8 deletions
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11
gui/NeuroUI/netlearner.cpp
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@ -26,9 +26,9 @@ void NetLearner::run()
size_t numIterations = 100000; size_t numIterations = 100000;
for (size_t iteration = 0; iteration < numIterations && cancel == false; ++iteration) for (size_t iteration = 0; iteration < numIterations && cancel == false; ++iteration)
{ {
auto trainingSample = mnistLoader.getSample(0); auto trainingSample = mnistLoader.getRandomSample();
emit logMessage(QString("training sample ") + QString::number(trainingSample.label)); // emit logMessage(QString("training sample ") + QString::number(trainingSample.label));
emit sampleImageLoaded(trainingSample.toQImage()); emit sampleImageLoaded(trainingSample.toQImage());
std::vector<double> targetValues = std::vector<double> targetValues =
@ -49,12 +49,7 @@ void NetLearner::run()
double error = outputValues[0] - targetValues[0]; double error = outputValues[0] - targetValues[0];
QString logString; emit logMessage(QString("Error: ") + QString::number(std::abs(error)));
logString.append("Error: ");
logString.append(QString::number(std::abs(error)));
emit logMessage(logString);
emit currentNetError(error); emit currentNetError(error);
emit progress((double)iteration / (double)numIterations); emit progress((double)iteration / (double)numIterations);