/// <summary>
/// Returns outputs based on inputs going through the neural network
/// </summary>
/// <param name="_inputs"></param>
/// <returns></returns>
public float[] FeedForward(float[] _inputs)
{
// create matrix from inputs
List <MatrixF> m = new List <MatrixF>();
m.Add(MatrixF.FromArray(_inputs));
// calculate hidden layers outputs
for (int i = 0; i < numHiddenLayers; i++)
{
m.Add(MatrixF.DotProduct(weightMatrixes[i], m[i]));
m[i + 1].Add(biasMatrixes[i]);
Activate(m[i + 1]);
}
// calculate output layer output
m.Add(MatrixF.DotProduct(weightMatrixes[weightMatrixes.Count - 1], m[m.Count - 1]));
m[m.Count - 1].Add(biasMatrixes[biasMatrixes.Count - 1]);
Activate(m[m.Count - 1]);
return(MatrixF.ToArray(m[m.Count - 1]));
}
