/// <summary>
/// Fill all layers weights by desired configuration
/// </summary>
/// <param name="weightsFillInfo">Weights configuration</param>
/// <param name="randomSeed">Seed of random that generate weights values</param>
public void FillWeights(WeightsFillInfo weightsFillInfo, int randomSeed)
{
//Instance initializated?
CheckInstance();
for (int l = 0; l < LayersCount; l++)
{
var layer = this[l];
for (int i = 0; i < layer.NeuronsCount; i++)
{
//Fill weights by native function
int seed = (randomSeed + i) * l;
Native.FloatArrayRandomFill(layer.Weights[i], layer.NeuronsWeightsSize, weightsFillInfo.CoefficientOfWeights, weightsFillInfo.NegativeWeights, seed, ThreadingMode.SingleThread);
}
}
}
/// <summary>
/// Initializate neural network with initialization all weights by desired configuration
/// </summary>
/// <param name="layersCfg">Layers configuration</param>
/// <param name="weightsFillInfo">Weights configuration</param>
/// <param name="randomSeed">Seed of random that generate weights values</param>
public NeuralNetwork(LayerCfg[] layersCfg, WeightsFillInfo weightsFillInfo, int randomSeed) : this(layersCfg)
{
this.FillWeights(weightsFillInfo, randomSeed);
}
