static void saveFFLayer(string dir, FeedForwardLayer layer)
{
Directory.CreateDirectory(dir);
//make infoFile
string linearityType = "";
if (layer._f is LinearUnit)
{
linearityType = "LinearUnit";
}
if (layer._f is RectifiedLinearUnit)
{
linearityType = "RectifiedLinearUnit";
}
if (layer._f is SigmoidUnit)
{
linearityType = "SigmoidUnit";
}
if (layer._f is SineUnit)
{
linearityType = "SineUnit";
}
if (layer._f is TanhUnit)
{
linearityType = "TanhUnit";
}
using (StreamWriter sw = new StreamWriter(Path.Combine(dir, "info.csv")))
{
sw.WriteLine(linearityType);
}
//saving matrixes
saveMatrix(Path.Combine(dir, "W.csv"), layer._w);
saveMatrix(Path.Combine(dir, "B.csv"), layer._b);
}
public void XORNetworkTest()
{
Matrix inputMatrix00 = new Matrix(new double[, ]
{
{ 0.0 },
{ 0.0 },
});
FeedForwardLayer inputLayer = new FeedForwardLayer(inputMatrix00);
FeedForwardLayer hiddenLayer = new FeedForwardLayer(inputLayer, 2, new BinaryStepActivation());
FeedForwardLayer outputLayer = new FeedForwardLayer(hiddenLayer, 1, new BinaryStepActivation());
hiddenLayer.Weights = new Matrix(new double[, ]
{
{ 1.0, 1.0 },
{ -1.0, -1.0 }
});
hiddenLayer.Bias = new Matrix(new double[, ]
{
{ -0.5 },
{ 1.5 }
});
outputLayer.Weights = new Matrix(new double[, ]
{
{ 1.0, 1.0 }
});
outputLayer.Bias = new Matrix(new double[, ]
{
{ -1.5 }
});
Matrix outputMatrix00 = outputLayer.Compute();
Matrix inputMatrix01 = new Matrix(new double[, ]
{
{ 0.0 },
{ 1.0 },
});
inputLayer.Weights = inputMatrix01;
Matrix outputMatrix01 = outputLayer.Compute();
Matrix inputMatrix10 = new Matrix(new double[, ]
{
{ 1.0 },
{ 0.0 },
});
inputLayer.Weights = inputMatrix01;
Matrix outputMatrix10 = outputLayer.Compute();
Matrix inputMatrix11 = new Matrix(new double[, ]
{
{ 1.0 },
{ 1.0 },
});
inputLayer.Weights = inputMatrix11;
Matrix outputMatrix11 = outputLayer.Compute();
Assert.AreEqual(-1, outputMatrix00[0, 0]);
Assert.AreEqual(1, outputMatrix10[0, 0]);
Assert.AreEqual(1, outputMatrix01[0, 0]);
Assert.AreEqual(-1, outputMatrix11[0, 0]);
}
