public void CanBackLinear()
{
NetworkVector result = nf_linear.Run(vector_2);
NetworkVector inputgradienttest = new NetworkVector(new double[] { 1, 1 });
Assert.AreEqual(inputgradienttest, nf_linear.InputGradient(vector_2, vector_2, result));
}
public void CanBackSigmoid()
{
NetworkVector result = nf_sigmoid.Run(vector_2);
double[] outarray = result.ToArray();
double[] inarray = vector_2.ToArray();
NetworkVector gradientCheck = new NetworkVector(
new double[] { sigmoidDerivative(inarray[0], outarray[0]),
sigmoidDerivative(inarray[1], outarray[1]) });
Assert.AreEqual(gradientCheck, nf_sigmoid.InputGradient(vector_2, vector_2, result));
}
public void CanBack()
{
nf_1.Run(vector_1);
Assert.AreEqual(vector_1, nf_1.InputGradient(vector_1));
}
