// Add a custom layer to the network.
public static void AddLayer(ref NetworkContainer container, ref EncogLayerSettings settings)
{
if (settings.neuronCount <= 0)
{
throw new InvalidNeuronCountException("Neuroncount should be higher than 0.");
}
try
{
container.network.AddLayer(new BasicLayer(
settings.activationFunction,
settings.hasBias,
settings.neuronCount));
}
catch
{
throw new EncogException("Adding layer failed.");
}
}
// Prepare network for training, this is mainly setting up the layers and activation functions.
public static void PrepareNetwork(ref NetworkContainer container, ref ImageNetworkTrainSettings settings)
{
if (settings.trainSettings.dataset == null)
{
throw new IncorrectActionOrderException("Prepare data before preparing network.");
}
EncogWrapper.Instantiate(ref container);
EncogLayerSettings inputLayerSettings = new EncogLayerSettings
{
activationFunction = null,
hasBias = true,
neuronCount = settings.trainSettings.dataset[0].Length
};
EncogWrapper.AddLayer(ref container, ref inputLayerSettings);
EncogLayerSettings hiddenLayerOneSettings = new EncogLayerSettings
{
activationFunction = new ActivationElliott(),
hasBias = true,
neuronCount = 100
};
EncogWrapper.AddLayer(ref container, ref hiddenLayerOneSettings);
EncogLayerSettings outputLayerSettings = new EncogLayerSettings
{
activationFunction = new ActivationElliott(),
hasBias = false,
neuronCount = 1
};
EncogWrapper.AddLayer(ref container, ref outputLayerSettings);
EncogWrapper.FinalizeNetwork(ref container);
}
