/// <summary>
/// Create a neural network.
/// </summary>
/// <param name="input">the input layer</param>
/// <param name="output">the output layer</param>
/// <param name="hidden">the hidden layers</param>
public NeuralNetwork(NetworkProperties properties, Layer input, Layer output, params Layer[] hidden)
{
Properties = properties;
Input = input;
Output = output;
Hidden = hidden;
}
/// <summary>
/// Create a neural network from a series of numbers.
/// The first number represents the size of the input layer, the last number is the size of the output layer.
/// The numbers inbetween are the sizes of the hidden layers.
/// </summary>
/// <param name="architecture">the sizes of the layers</param>
public NeuralNetwork(NetworkProperties properties, params int[] architecture)
{
int l = architecture.Length;
Properties = properties;
Input = new Layer(architecture[0], "Input");
Output = new Layer(architecture[l - 1], "Output");
Hidden = new Layer[l - 2];
for (int i = 1; i < l - 1; i++)
{
Hidden[i - 1] = new Layer(architecture[i]);
}
}
