/// <summary>
/// Creates a new Neural Network
/// </summary>
/// <param name="_inputs">number of inputs</param>
/// <param name="_outputs">number of output</param>
/// <param name="_hiddenNodes">number of neurons per hidden layer</param>
public NeuralNetwork(int _inputs, int _hiddenNodes, int _outputs, int _numHiddenLayers = 1)
{
inputs = _inputs;
outputs = _outputs;
hiddenNodes = _hiddenNodes;
numHiddenLayers = _numHiddenLayers;
// matrix of weights to use with layers
weightMatrixes = new List <MatrixF>();
weightMatrixes.Add(MatrixF.RandomMatrix(hiddenNodes, inputs));
for (int i = 0; i < _numHiddenLayers - 1; i++)
{
weightMatrixes.Add(MatrixF.RandomMatrix(hiddenNodes, hiddenNodes));
}
weightMatrixes.Add(MatrixF.RandomMatrix(outputs, hiddenNodes));
// very tall matrix of bias to use with layers
biasMatrixes = new List <MatrixF>();
for (int i = 0; i < _numHiddenLayers; i++)
{
biasMatrixes.Add(MatrixF.RandomMatrix(hiddenNodes, 1));
}
biasMatrixes.Add(MatrixF.RandomMatrix(outputs, 1));
}
