public AgentNetwork(FileInfo fileInfo)
{
fileInfo.Refresh();
if (fileInfo.Exists == false)
{
throw new ArgumentException();
}
using (FileStream stream = fileInfo.OpenRead())
{
var layers = NetworkSerializer.LoadLayers(new BinaryReader(stream));
var viewRadius = AgentNetworkInputCoder.EncodedSizeToViewRadius(layers.First().Neurons.First().Weights.Length - 1);
InputCoder = new AgentNetworkInputCoder(viewRadius);
if (layers.Last().Neurons.Length != 1)
{
throw new ArgumentException("Invalid neural network shape.");
}
if (layers.First().Neurons.First().Weights.Length - 1 != InputCoder.EncodedSize)
{
throw new ArgumentException("Invalid neural network shape.");
}
Network = new Network(layers);
}
}
public AgentNetwork(AgentNetworkDefinition definition, ILayerInitializer initializer)
{
InputCoder = new AgentNetworkInputCoder(definition.ViewRadius);
var lastLayer = new NetworkLayerDefinition(definition.LastLayerActivationFunction, 1);
var networkDefinition = new NetworkDefinition(InputCoder.EncodedSize, definition.Layers.Concat(new[] { lastLayer }));
Network = NetworkBuilder.Build(networkDefinition, initializer);
}
public string ToToolTipString()
{
var inputCoder = new AgentNetworkInputCoder(ViewRadius);
string[] lines =
{
$"Activation Function: {Layers.First().ActivationFunction}",
$"View Radius: {ViewRadius}",
$"Layers: {inputCoder.EncodedSize},{string.Join(",", Layers.Select(l => l.Size))},1",
};
return(string.Join("\r\n", lines));
}
public override string ToString()
{
var inputCoder = new AgentNetworkInputCoder(ViewRadius);
return($"{Layers.First().ActivationFunction}, {ViewRadius}, [{inputCoder.EncodedSize},{string.Join(",", Layers.Select(l => l.Size))},1]");
}
public AgentNetwork(AgentNetworkInputCoder inputCoder, IEnumerable <AI.NeuralNetworks.Layer> layers)
{
InputCoder = inputCoder;
Network = new Network(layers);
}
