public Network(List <int> sizes, Activator activator, IWeightBiasInitializer defaultInitializer = null)
{
Layer layer = null;
foreach (var size in Enumerable.Reverse(sizes))
{
layer = new Layer(size, layer, activator, defaultInitializer);
Layers.Add(layer);
}
Layers.Reverse();
}
public Layer(int size, Layer next = null, Activator activator = null, IWeightBiasInitializer initializer = null)
{
NeuronCount = size;
Activations = Vec.Build.Dense(size, 0);
Activator = activator;
Initializer = (initializer == null) ? new GaussianInitializer() : initializer;
if (next != null)
{
NextLayer = next;
next.PreviousLayer = this;
next.InitializeWeightsAndBiases();
}
}
