Example #1
0
        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");
        }
Example #2
0
 public void TestRead()
 {
     var set = MnistDataset.Read(@"C:\Projects\heightmap_upscale\data");
 }