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Debugging-setup with a single training sample to check the lack of learning progress

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Michael Mandl 2015-11-01 15:01:43 +01:00
parent 1d343a079a
commit 44760d0402
1 changed files with 3 additions and 3 deletions
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6
gui/NeuroUI/netlearner.cpp
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@ -26,10 +26,10 @@ 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.getRandomSample(); auto trainingSample = mnistLoader.getSample(0);
QImage trainingImage(trainingSample.data, 28, 28, QImage::Format_Grayscale8); emit logMessage(QString("training sample ") + QString::number(trainingSample.label));
emit sampleImageLoaded(trainingImage); emit sampleImageLoaded(trainingSample.toQImage());
std::vector<double> targetValues = std::vector<double> targetValues =
{ {