private void CreateCustomNetwork()
{
LayerConfiguration layer1 = GetLayerConfiguration(hiddenLayer1NeuronCountSelector, hiddenLayer1ActivationDropdown);
List <LayerConfiguration> nextLayers = new List <LayerConfiguration>();
if (hiddenLayer2CheckBox.Checked)
{
nextLayers.Add(GetLayerConfiguration(hiddenLayer2NeuronCountSelector, hiddenLayer2ActivationDropdown));
}
if (hiddenLayer3CheckBox.Checked)
{
nextLayers.Add(GetLayerConfiguration(hiddenLayer3NeuronCountSelector, hiddenLayer3ActivationDropdown));
}
var layout = new CustomNetworkLayout(layer1, nextLayers.ToArray());
network = new NeuralNetwork(layout);
}
public CustomNetworkLayout(LayerConfiguration firstHiddenConfig, params LayerConfiguration[] nextHiddenConfigs)
{
var initializer = new RandomLayerInitializer();
layers = new List <Layer>
{
new Layer(784, firstHiddenConfig.NeuronCount, initializer, firstHiddenConfig.OutputActivation)
};
int previousLayerNeuronCount = firstHiddenConfig.NeuronCount;
foreach (LayerConfiguration layerConfig in nextHiddenConfigs)
{
layers.Add(new Layer(previousLayerNeuronCount, layerConfig.NeuronCount, initializer, layerConfig.OutputActivation));
previousLayerNeuronCount = layerConfig.NeuronCount;
}
layers.Add(new Layer(previousLayerNeuronCount, 10, initializer, new SigmoidActivation()));
ConnectLayers();
}
