public void InitWeights(IParameterizedLayer wLayer)
{
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < wLayer.ParametersStorage.Weights.Size; i++)
{
data[i] = (float)RandomUtil.GetGaussian(_mean, _deviation);
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
public void InitWeights(IParameterizedLayer wLayer)
{
var variance = 2.0 / wLayer.FIn;
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < wLayer.ParametersStorage.Weights.Size; i++)
{
data[i] = (float)RandomUtil.GetGaussian(0, Math.Sqrt(variance));
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
public void Mutate(List <Individual> individuals, float mutationRate)
{
foreach (var individual in individuals)
{
var mutatedGenotype = individual.Genotype;
for (var i = 0; i < mutatedGenotype.Length; i++)
{
if (RandomUtil.GetRandomNumber(0, 1) <= mutationRate)
{
mutatedGenotype[i] = (float)RandomUtil.GetGaussian(0, 1);
}
}
individual.Genotype = mutatedGenotype;
}
}
