/// <summary>
/// Construct a neural network from a <see cref="NetworkDescription"/>
/// </summary>
public NeuralNetwork(NetworkDescription description)
{
//Ensure we can construct a nerual network from this description
ValidateLayers(description);
ConstructLayers(description);
}
private void ConstructLayers(NetworkDescription description)
{
_layers = new NetworkLayer[description.Layers.Count];
for (int i = 0; i < description.Layers.Count; i++)
{
if (i == 0)
{
_layers[i] = NetworkLayer.ConstructLayer(description.Layers[i]);
}
else
{
_layers[i] = NetworkLayer.ConstructLayer(description.Layers[i], description.Layers[i - 1]);
}
}
}
private void ValidateLayers(NetworkDescription description)
{
if (description.Layers == null || description.Layers.Count < 2)
{
throw new ArgumentException("A neural network must have at least 2 layers (one input and one output)");
}
if (description.Layers[0].LayerType != ELayerType.Input)
{
throw new ArgumentException("The first layer of a neural network must be a input layer", nameof(description));
}
if (description.Layers[description.Layers.Count - 1].LayerType != ELayerType.Output)
{
throw new ArgumentException("The last layer of a neural network must be a output layer", nameof(description));
}
}
