void testMNISTTraining(){
MNISTDataset mnist;
mnist.loadData();
Logistic logi(mnist.getFeatureNumber(), mnist.getLabelNumber());
logi.setModelFile("result/LogisticModel.dat");
TrainModel logisticModel(logi);
logisticModel.train(&mnist, 0.01, 10, 1000);
}
void testMNISTGuassianTraining(){
MNISTDataset mnist;
mnist.loadData();
mnist.rowNormalize();
Logistic logi(mnist.getFeatureNumber(), mnist.getLabelNumber());
logi.setModelFile("result/LogisticModel.dat");
TrainModel logisticModel(logi);
logisticModel.train(&mnist, 0.13, 500, 100);
}
void testMNIST(){
MNISTDataset mnist;
mnist.loadData();
MLP mlp;
SigmoidLayer *firstLayer = new SigmoidLayer(mnist.getFeatureNumber(), 500);
Logistic *secondLayer = new Logistic(500, mnist.getLabelNumber());
mlp.addLayer(firstLayer);
mlp.addLayer(secondLayer);
mlp.setModelFile("result/MLPModel.dat");
TrainModel mlpModel(mlp);
mlpModel.train(&mnist, 0.01, 20, 1);
}