public Network(Layer layer, IOptimizer optimizer, ILossFunction lossFunction)
{
this.random = RandomProvider.GetRandom();
this.inputLayer = layer;
this.layerCollection = new Collection <Layer>();
this.optimizer = optimizer;
this.lossFunction = lossFunction;
do
{
this.layerCollection.Add(layer);
layer = layer.Next;
} while (layer != null);
}
public Model(IEnumerable <Layer> collection, IOptimizer optimizer, ILossFunction lossFunction)
{
this.random = RandomProvider.GetRandom();
this.layerCollection = new Collection <Layer>();
this.optimizer = optimizer;
this.lossFunction = lossFunction;
foreach (Layer layer in collection)
{
if (this.layerCollection.Count > 0)
{
var previousLayer = this.layerCollection[this.layerCollection.Count - 1];
previousLayer.Next = layer;
layer.Previous = previousLayer;
}
this.layerCollection.Add(layer);
}
}
public static double LecunNormal(int fanIn)
{
return(RandomProvider.GetRandom().Uniform(-1, 1) * Math.Sqrt(1.0 / fanIn));
}
public static double HeUniform(int fanIn)
{
var a = Math.Sqrt(6.0 / fanIn);
return(RandomProvider.GetRandom().Uniform(-a, a));
}
public static double GlorotUniform(int fanIn, int fanOut)
{
var a = Math.Sqrt(6.0 / (fanIn + fanOut));
return(RandomProvider.GetRandom().Uniform(-a, a));
}
public static double GlorotNormal(int fanIn, int fanOut)
{
return(RandomProvider.GetRandom().Uniform(-1, 1) * Math.Sqrt(2.0 / (fanIn + fanOut)));
}
