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);
}
static void Train_predict_and_save(string filepath)
{
// train & testing data
var training_data = new Dictionary <int, Tuple <float[], float[]> >
{ // ys xs
[0] = new Tuple <float[], float[]>(new float[] { 0, 1 }, new float[] { 1 }),
[1] = new Tuple <float[], float[]>(new float[] { 1, 0 }, new float[] { 1 }),
[2] = new Tuple <float[], float[]>(new float[] { 0, 0 }, new float[] { 0 }),
[3] = new Tuple <float[], float[]>(new float[] { 1, 1 }, new float[] { 0 })
};
var snn = new SimpleNeuralNetwork(2, 0.4f, Activation.FunctionsEnum.Sigmoid);
snn.Add(4);
snn.Add(1);
// train
Console.WriteLine("Entrenamiento:\n");
Random random = new Random();
int j = 0;
Console.WriteLine("Training ...");
for (int i = 0; i < 100000; i++)
{
j = random.Next(4);
snn.Train(training_data[j].Item1, training_data[j].Item2);
}
// predict
Console.WriteLine("\nPredicciones:\n");
for (int i = 0; i < 4; i++)
{
var res = snn.Predict(training_data[i].Item1);
Console.WriteLine(string.Format("xs [ {0}, {1} ] = {2}", training_data[i].Item1[0], training_data[i].Item1[1], res[0]));
}
SimpleNeuralNetwork.Save(snn, filepath);
Console.WriteLine("\nRed Neuronal guardada !!.\n");
}