public void Train(TrainData[] data, int maxEpoch = 50000, int hiddenLayersCount = 1, double e = 0.7, double a = 0.3)
{
PrepareData(data, hiddenLayersCount);
double mse = 0;
for (int i = 0; i < maxEpoch; i++)
{
foreach (TrainData dataItem in data)
{
Calculate(dataItem.Input);
_outputLayer.CalcSigma(dataItem.Output);
// Calc sigma and update weights for other layers
for (int j = _layers.Length - 2; j >= 0; j--)
{
_layers[j].UpdateWeights(e, a);
}
}
}
// calc mse
foreach (TrainData dataItem in data)
{
Calculate(dataItem.Input);
mse += _outputLayer.GetMse(dataItem.Output);
}
mse /= data.Length;
Console.WriteLine($"mse: {mse}");
}
