How exactly one goes about learning XOR in with this tool? about convnetsharp HOT 4 CLOSED

        var net = new Net<double>();
        
        net.AddLayer(new InputLayer(1, 1, 2));

        net.AddLayer(new FullyConnLayer(3));
        net.AddLayer(new TanhLayer());

        net.AddLayer(new FullyConnLayer(2));
        net.AddLayer(new SoftmaxLayer(2));


        var x0 = new Volume(new double[] { 1, 1 }, new Shape(2));
        var x1 = new Volume(new double[] { 0, 1 }, new Shape(2));
        var x2 = new Volume(new double[] { 1, 0 }, new Shape(2));
        var x3 = new Volume(new double[] { 0, 0 }, new Shape(2));
        
        Console.WriteLine("x0: " + net.Forward(x0).Get(0));
        Console.WriteLine("x1: " + net.Forward(x1).Get(0));
        Console.WriteLine("x2: " + net.Forward(x2).Get(0));
        Console.WriteLine("x3: " + net.Forward(x3).Get(0));

        Console.WriteLine();
        Console.WriteLine();
        
        var trainer = new SgdTrainer<double>(net) { LearningRate = 0.2, L2Decay = 0.001 };
        
        for (int i = 0; i < 2000; i++)
        {
            trainer.Train(x0, new Volume(new double[] { 0.0 }, new Shape(1)));
            trainer.Train(x1, new Volume(new double[] { 1.0 }, new Shape(1)));
            trainer.Train(x2, new Volume(new double[] { 1.0 }, new Shape(1)));
            trainer.Train(x3, new Volume(new double[] { 0.0 }, new Shape(1)));
        }

        Console.WriteLine("x0: " + net.Forward(x0).Get(0));
        Console.WriteLine("x1: " + net.Forward(x1).Get(0));
        Console.WriteLine("x2: " + net.Forward(x2).Get(0));
        Console.WriteLine("x3: " + net.Forward(x3).Get(0));