/// <summary>
/// Copies all the variables into the given neural network
/// </summary>
internal void Copy(NetworkVectors into)
{
for (int layer = 1; layer < Dimensions.Count; layer++)
{
for (int neuron = 0; neuron < Weights[layer - 1].Count; neuron++)
{
for (int connection = 0; connection < Weights[layer - 1][neuron].Length; connection++)
{
into.Weights[layer - 1][neuron][connection] = Weights[layer - 1][neuron][connection];
}
}
}
}
/// <summary>
/// Save a neural network under a certain name in the program's folder.
/// </summary>
public static void SaveSerializable(NetworkVectors net, string NetName)
{
string path = NetName + FileExtention;
try
{
Stream saveFile = File.Open(path, FileMode.Create); // Open the save file
// Serialize and save the file
BinaryFormatter binaryFormatter = new BinaryFormatter();
binaryFormatter.Serialize(saveFile, net);
saveFile.Close();
}
catch (Exception e)
{
Console.WriteLine("Error saving the serializable object: {0}", e.Message);
}
}
/// <summary>
/// Loads a neural network with a specific name from the program's folder
/// </summary>
public static NetworkVectors LoadNetworkVectors(string NetName)
{
string path = NetName + FileExtention;
try
{
Stream saveFile = File.Open(path, FileMode.Open); // Open the save file
// Load, deserialize and return the network
BinaryFormatter binaryFormatter = new BinaryFormatter();
NetworkVectors networkVectors = (NetworkVectors)binaryFormatter.Deserialize(saveFile);
saveFile.Close();
return(networkVectors);
}
catch
{
Console.WriteLine("Error saving the serializable object");
return(null);
}
}
