/// <summary>
/// Compute each data results for each layers from the input layer to the output
/// </summary>
/// <param name="a">previous data results of a of all layers</param>
/// <returns>data results of a of all layers</returns>
public Neuron Feedfoward(Matrix inputs)
{
Matrix[] activations = new Matrix[NumberOfLayer];
Matrix[] zmatrices = new Matrix[NumberOfLayer - 1];
activations[0] = inputs;
for (int l = 0; l < NumberOfLayer - 1; l++)
{
zmatrices[l] = (Weights[l] * activations[l]) + Biases[l];
activations[l + 1] = Neuron.Sigmoid(zmatrices[l]);
}
return(new Neuron {
Activations = activations, Zmatrices = zmatrices
});
}
