public void Mutate(ref GaussianGenerator rnd, float learningRate)
{
foreach (Layer layer in model.layers)
{
for (int iWeight = 0; iWeight < layer.weights.Length; iWeight++)
{
layer.weights[iWeight] += rnd.NextFloat1() * learningRate;
}
}
PrepareCache();
}
public void GaussianTest()
{
Random _rndu = new Random((uint)UnityEngine.Random.Range(0, int.MaxValue));
GaussianGenerator _rndn = new GaussianGenerator(_rndu);
for (int iCnt = 0; iCnt < 100; iCnt++)
{
float val = _rndn.NextFloat1();
Debug.Log(val);
Debug.Assert(!float.IsNaN(val));
}
}
public float[] MutateExisting(IReadOnlyCollection <float> parent)
{
float[] result = parent.ToArray();
Mutate(result, () => _learnRate * _rndg.NextFloat1());
return(result);
}