static void Main(string[] args)
{
//XOR function
//0, 0 | 0
//0, 1 | 1
//1, 0 | 1
//1, 1 | 0
var dataset = new[]
{
new XORSample {
A = 0, B = 0, Label = 0
},
new XORSample {
A = 0, B = 1, Label = 1
},
new XORSample {
A = 1, B = 0, Label = 1
},
new XORSample {
A = 1, B = 1, Label = 0
},
};
var net = new SimpleNeuralNetwork(ActivationFunctions.Sigmoid);
net.AddLayer(2);
net.AddLayer(3);
net.AddLayer(1);
net.Build();
foreach (var sample in dataset)
{
var output = net.ForwardPass(new [] { (float)sample.A, (float)sample.B });
Console.WriteLine($"Forward pass: {sample.A}, {sample.B}. Output: {output[0]}. Label: {sample.Label}");
}
Console.ReadKey();
}