public void TestRandomInit()
{
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 2, 3, 2 });
n.RandomizeWeights(seed: 0);
var first = n.GetWeightMatrix();
n.RandomizeWeights(seed: 0);
var equal = n.GetWeightMatrix();
Assert.AreEqual(first, equal);
n.RandomizeWeights(seed: 1);
var not_equal = n.GetWeightMatrix();
Assert.AreNotEqual(first, not_equal);
}
public void TestAlternativeMatrix()
{
double[][] from_l1 = new double[][]
{
new double[] { -30, 20, 20 },
new double[] { 10, -20, -20 }
};
double[][] from_l2 = new double[][]
{
new double[] { -10, 20, 20 }
};
double[][][] weights = new double[][][]
{
from_l1,
from_l2
};
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 2, 2, 1 });
n.SetWeightMatrix(weights);
double[] from_l1_expected = new double[] { -30, 20, 20, 10, -20, -20 };
double[] from_l2_expected = new double[] { -10, 20, 20 };
double[][] weights_expected = new double[][]
{
from_l1_expected,
from_l2_expected
};
Assert.AreEqual(weights_expected, n.GetWeightMatrix());
}
public void TestWeightMatrix()
{
double[] from_l1 = new double[] { -30, 20, 20, 10, -20, -20 };
double[] from_l2 = new double[] { -10, 20, 20 };
double[][] weights = new double[][]
{
from_l1,
from_l2
};
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 2, 2, 1 });
n.SetWeightMatrix(weights);
Assert.AreEqual(n.GetWeightMatrix(), weights);
}