public void Test1()
{
var epochs = 200;
var batchSize = 128;
var classes = 10;
var hiddenCount = 128;
var validationSplit = 0.2;
var flatImageSize = 28 * 28;
var mnist = MnistDataset.Read(@"C:\Projects\heightmap_upscale\data\mnist");
var x_train = PrepareImage(mnist.TrainingImages);
var x_test = PrepareImage(mnist.TestImages);
var y_train = PrepareLabels(mnist.TrainingLabels);
var model = new Sequential();
model.add(new Dense(classes, activation: new softmax()));
//model.Compile("SGD", loss: "categorical_crossentropy", metrics: new[] { "accuracy" });
model.compile("SGD", "categorical_crossentropy");
}
public void TestRead()
{
var set = MnistDataset.Read(@"C:\Projects\heightmap_upscale\data");
}