public void TestStaticWeightsPreserved()
{
double[] weights = null;
_target.SaveTo(ref weights);
var net2 = new AForgeNeuralNetwork(4, 5, 2);
net2.Theta.LoadFrom(weights);
var result1 = _net1.Run(new[] { 0.3, 0.4, 0.0, 0.0});
var result2 = net2.Run(new[] { 0.3, 0.4, 0.0, 0.0 });
_net1.HiddenLayer[0].Should().NotBe(net2.HiddenLayer[0],"Static weights from neurons were not preserved after LoadFrom");
}
public void TestNonStaticWeightsRestored()
{
double[] weights = null;
_target.SaveTo(ref weights);
var net2 = new AForgeNeuralNetwork(4, 5, 2);
net2.Theta.LoadFrom(weights);
_net1.UnderlyingNetwork.Layers[0].Neurons[0].Weights[3].Should().Be(net2.UnderlyingNetwork.Layers[0].Neurons[0].Weights[3]);
var result1 = _net1.Run(new[] { 0.0, 0.0, 0.4, 0.5});
var result2 = net2.Run(new[] { 0.0, 0.0, 0.4, 0.5});
_net1.HiddenLayer[0].Should().Be(net2.HiddenLayer[0], "same inputs with restored weights");
}
