public void TestSingleOutput()
{
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 2));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 2));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 1));
network.Structure.FinalizeStructure();
(new ConsistentRandomizer(-1, 1)).Randomize(network);
IMLDataSet trainingData = new BasicMLDataSet(XOR.XORInput, XOR.XORIdeal);
HessianFD testFD = new HessianFD();
testFD.Init(network, trainingData);
testFD.Compute();
HessianCR testCR = new HessianCR();
testCR.Init(network, trainingData);
testCR.Compute();
//dump(testFD, "FD");
//dump(testCR, "CR");
Assert.IsTrue(testCR.HessianMatrix.equals(testFD.HessianMatrix, 4));
}
public void TestDualOutput()
{
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 2));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 2));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 2));
network.Structure.FinalizeStructure();
(new ConsistentRandomizer(-1, 1)).Randomize(network);
IMLDataSet trainingData = new BasicMLDataSet(XOR.XORInput, XOR.XORIdeal2);
HessianFD testFD = new HessianFD();
testFD.Init(network, trainingData);
testFD.Compute();
//dump(testFD, "FD");
HessianCR testCR = new HessianCR();
testCR.Init(network, trainingData);
testCR.Compute();
//dump(testCR, "CR");
Assert.IsTrue(testCR.HessianMatrix.equals(testFD.HessianMatrix, 4));
}
