/// <summary>
/// Constructor for network trainer
/// </summary>
/// <param name="network">Network which will be teached</param>
/// <param name="useCache">Shall be used cahce?</param>
protected NetworkTrainer(ILearnableNetwork network, bool useCache = true)
{
if (network == null)
{
network = CreateNetwork(useCache);
}
this.network = network;
}
/// <summary>
/// Constructor for Image Network Trainer
/// </summary>
/// <param name="network">Network which should learn</param>
/// <param name="useCache">Shall be used cache if exists?</param>
public ImageNetworkTrainer(ILearnableNetwork network, bool useCache) : base(network, useCache)
{
DigitImageLoader loader = new DigitImageLoader(DigitImageLoader.DefaultImagesPathTest,
DigitImageLoader.DefaultLabelsPathTest);
var data = loader.Load();
Inputs = new double[data.Count][];
for (int i = 0; i < data.Count; i++)
{
Inputs[i] = data[i].ToDoubleArray();
}
Results = new double[data.Count][];
for (int i = 0; i < data.Count; i++)
{
Results[i] = new double[NumberOfOutputs];
Results[i][data[i].Label] = 1;
}
}
/// <summary>
/// Constructor for <see cref="XorGateNetworkTrainer"/>
/// </summary>
/// <param name="network">Network which will be teached</param>
public XorGateNetworkTrainer(ILearnableNetwork network) : base(network)
{
}
/// <summary>
/// Constructor of And Gate Netowrk Trainer
/// </summary>
/// <param name="network">Netowork which will be teached</param>
public AndGateNetworkTrainer(ref ILearnableNetwork network) : base(network)
{
}
