static void DoubleOutput()
{
var network = new NeuralNetworkBuilder()
.AddInputLayer(2)
.AddHiddenLayer(3)
.AddHiddenLayer(4)
.AddOutputLayer(2)
.Build();
int i = 0;
while (i++ < 1000000)
{
Console.Clear();
//network.PropagateForward();
network.Evaluate(new List <double> {
1, 1
});
network.PropagateBackward(new List <double> {
0, 0
});
var output = network.Layers.Last().Neurons[0].Value;
var output2 = network.Layers.Last().Neurons[1].Value;
Console.WriteLine($"iteration: {i}\noutput:\n{output}\n{output2}");
}
}
