public void SimpleNeuralNetworkTest()
{
var takeN = 100;
var xPath = FileManagerTest.GetTestDataByName("HandwrittenDigit", "dataX.csv");
var doubleReader = new CsvDoubleReader();
var xArray = doubleReader.GetData(xPath, ",");
var x = new Matrix(xArray.Take(takeN));
var yPath = FileManagerTest.GetTestDataByName("HandwrittenDigit", "datay.csv");
var intReader = new CsvIntReader();
var yArray = intReader.GetData(yPath, ",").Take(takeN).ToArray();
var y = MatrixUtils.VectorToBinaryMatrix(yArray.Select(z => z[0]).ToArray(), 10);
var neuralNetworkParameters = new SimpleNeuralNetworkParameters()
{
Alpha = 1,
HiddenLayerSize = 25,
InputLayerSize = 400,
IterationCount = 10,
LabelCount = 10,
Lambda = 1,
X = x,
Y = y,
};
var neuralNetwork = new SimpleNeuralNetwork();
var neuralNetworkResults = neuralNetwork.Compute(neuralNetworkParameters);
var prediction = neuralNetwork.Predict(neuralNetworkResults.Theta1, neuralNetworkResults.Theta2, x, x.RowCount);
}
public void SimpleNeuralNetworkTest2()
{
var x = new double[, ]
{
{ 0.1683, -0.1923 },
{ 0.1819, -0.1502 },
{ 0.0282, 0.0300 },
{ -0.1514, 0.1826 },
{ -0.1918, 0.1673 },
{ -0.0559, -0.0018 },
{ 0.1314, -0.1692 },
{ 0.1979, -0.1811 },
{ 0.0824, -0.0265 },
{ -0.1088, 0.1525 },
{ -0.2000, 0.1913 },
{ -0.1073, 0.0542 },
{ 0.0840, -0.1327 },
{ 0.1981, -0.1976 },
{ 0.1301, -0.0808 },
{ -0.0576, 0.1103 }
};
var y = new int[] { 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1 };
var yMat = MatrixUtils.VectorToBinaryMatrix(y);
var theta1 = new double[, ]
{
{ 0.0181, 0.0771, 0.0358 },
{ -0.1057, -0.1163, 0.0556 },
{ -0.0637, -0.1097, 0.0355 },
{ -0.0352, -0.0794, -0.0118 }
};
var theta2 = new double[, ]
{
{ 0.0113, 0.0448, 0.0673, -0.0032, 0.0020 },
{ -0.0489, -0.0760, -0.1005, -0.0154, 0.0026 },
{ 0.0587, -0.0316, 0.1031, -0.0128, 0.0762 },
{ -0.0747, 0.0301, 0.0662, -0.0465, 0.0708 }
};
var neuralNetworkParameters = new SimpleNeuralNetworkParameters()
{
Alpha = 1,
HiddenLayerSize = 4,
InputLayerSize = 2,
IterationCount = 50,
LabelCount = 4,
Lambda = 1,
X = new Matrix(x),
Y = yMat,
Theta1Init = new Matrix(theta1),
Theta2Init = new Matrix(theta2)
};
var neuralNetwork = new SimpleNeuralNetwork();
var neuralNetworkResults = neuralNetwork.Compute(neuralNetworkParameters);
}