public void EvaluateNxorTest()
{
var net = NetBuilder.CreateNxorNet();
performEvaluatorTest(net, 1, 0, 0);
performEvaluatorTest(net, 0, 0, 1);
performEvaluatorTest(net, 0, 1, 0);
performEvaluatorTest(net, 1, 1, 1);
}
public void DerivativeNxorNoRegularizationTest()
{
var net = NetBuilder.CreateNxorNet();
var inputs = DenseMatrix.OfArray(new double[, ] {
{ 0, 0 }, { 1, 1 }
});
var outputIndices = new int[] { 0, 0 };
net.CostFunction.SetInputsOutputs(inputs, outputIndices, 0);
int dims = net.CostFunction.DimensionsCount;
var rand = new Random(0);
FunctionDerivativeTester.PerformDerivativeTest(net.CostFunction,
Enumerable.Range(0, 100).Select(x =>
Enumerable.Range(0, dims).Select(y => rand.NextDouble() * 10 - 5).ToArray()
).ToArray()
);
}
