public NeuralNet(int inputs, int hidden, int outputs, Func <double, double> activationFc, Func <double, double> activationFc_derivitiv)
{
inputNodes = inputs;
hiddenNodes = hidden;
outputNodes = outputs;
HiddenLayer = new Layer(hiddenNodes, inputNodes)
{
ActivationFc = activationFc, ActivationFc_derivitiv = activationFc_derivitiv
};
OutputLayer = new Layer(outputNodes, hiddenNodes)
{
ActivationFc = activationFc, ActivationFc_derivitiv = activationFc_derivitiv
};
HiddenLayer.Weights.Randomize();
OutputLayer.Weights.Randomize();
HiddenLayer.Bias = new Matrix(hiddenNodes, 1);
OutputLayer.Bias = new Matrix(outputNodes, 1);
HiddenLayer.Bias.Randomize();
OutputLayer.Bias.Randomize();
HiddenLayer.ConnectTo(OutputLayer);
}
