public void CreateNewInstance_IsCorrectlyInitialised()
{
var parameters = new NetworkParameters(new int[] { 2, 8, 4 });
var network = new MultilayerNetwork(parameters);
Assert.That(network.Parameters, Is.SameAs(parameters));
Assert.That(network.LastLayer, Is.SameAs(network.Layers.Last()));
//Assert.That(network.Layers.Count(), Is.EqualTo(2));
network.ForEachLayer(l =>
{
l.ForEachNeuron((n, i) =>
{
n.Adjust((w, k) => w * 0.1);
return 0d;
});
return 1;
});
network.PruneInputs(1);
Assert.That(network.Parameters.InputVectorSize, Is.EqualTo(1));
}