public List <ConectionsInfo> GetMinusGradient()
{
var res = new List <ConectionsInfo>();
var flD = NeuronUtility.FirstLayerDerivatives(mLayers.Last(), mSample);
for (int i = 0; i < mConections.Count; i++)
{
flD = NeuronUtility.LayerDerivatives(out ConectionsInfo c, flD, mConections[mConections.Count - i - 1], mLayers[mLayers.Count - i - 2]);
public void Update(Sample s)
{
mLayers[0] = s.GetFirstLayer();
mSample = s;
if (mConections[0].Back != s.Data.Length)
{
throw new Exception("Bad Sample");
}
for (int i = 0; i < mConections.Count; i++)
{
mLayers[i + 1] = NeuronUtility.CountALayer(mLayers[i], mConections[i]);
}
}
public NetworkState(List <ConectionsInfo> c, Sample s)
{
mConections = new List <ConectionsInfo>();
for (int i = 0; i < c.Count; i++)
{
mConections.Add((ConectionsInfo)c[i].Clone());
}
mLayers = new List <double[]>
{
s.GetFirstLayer()
};
mSample = s;
if (mConections[0].Back != s.Data.Length)
{
throw new Exception("Bad Sample");
}
for (int i = 0; i < mConections.Count; i++)
{
mLayers.Add(NeuronUtility.CountALayer(mLayers[i], mConections[i]));
}
}
