/// <summary>
/// Creates a new NeuralNetwork based on an instance.
/// </summary>
/// <param name="_nn"></param>
/// <returns></returns>
public static NeuralNetwork Copy(NeuralNetwork _nn)
{
NeuralNetwork nn2 = new NeuralNetwork(
_nn.inputs, _nn.hiddenNodes, _nn.outputs, _nn.numHiddenLayers);
List <MatrixF> weights = new List <MatrixF>();
List <MatrixF> bias = new List <MatrixF>();
for (int i = 0; i < _nn.weightMatrixes.Count; i++)
{
weights.Add(MatrixF.Copy(_nn.weightMatrixes[i]));
}
for (int i = 0; i < _nn.biasMatrixes.Count; i++)
{
bias.Add(MatrixF.Copy(_nn.biasMatrixes[i]));
}
nn2.weightMatrixes = weights;
nn2.biasMatrixes = bias;
return(nn2);
}
