Learning from and displaying of digit samples

This commit is contained in:
Michael Mandl 2015-10-31 14:58:49 +01:00
parent d98ec63fbd
commit cd1101dfe2
3 changed files with 29 additions and 22 deletions

View file

@ -12,30 +12,38 @@ void NetLearner::run()
QElapsedTimer timer;
emit logMessage("Loading training data...");
emit progress(0.0);
MnistLoader mnistLoader;
mnistLoader.load("../NeuroUI/MNIST Database/train-images.idx3-ubyte",
"../NeuroUI/MNIST Database/train-labels.idx1-ubyte");
emit logMessage("done");
emit progress(0.0);
return;
Net digitClassifier({32*32, 16*16, 32, 1});
Net digitClassifier({28*28, 256, 1});
timer.start();
size_t numIterations = 10000;
size_t numIterations = 100000;
for (size_t iteration = 0; iteration < numIterations; ++iteration)
{
auto trainingSample = mnistLoader.getRandomSample();
QImage trainingImage(trainingSample.data, 28, 28, QImage::Format_Grayscale8);
emit sampleImageLoaded(trainingImage);
std::vector<double> targetValues =
{
//trainingSample.first / 10.0
trainingSample.label / 10.0
};
//digitClassifier.feedForward(trainingSample.second);
std::vector<double> trainingData;
trainingData.reserve(28*28);
for (const uint8_t &val : trainingSample.data)
{
trainingData.push_back(val / 255.0);
}
digitClassifier.feedForward(trainingData);
std::vector<double> outputValues = digitClassifier.getOutput();