public void AddLayer(Vector[] arvWeight, Scalar[] arsBias, Tnsf tnsf)
{
int cPcpndef = arvWeight.Length;
int cInputs = arvWeight[0].Count;
if (cPcpndef != arsBias.Length)
{
throw new ArgumentException($"{nameof(arvWeight)} ({cPcpndef}) and {nameof(arsBias)} ({arsBias.Length}) are differnt lengths");
}
if (lslayrdef.Count > 0 && cInputs != lslayrdef[lslayrdef.Count - 1].CPcpn)
{
throw new ArgumentException($"Number of inputs ({cInputs}) does not match previous layer's number of outputs ({lslayrdef[lslayrdef.Count - 1].CPcpn})");
}
Pcpndef[] arpcpndef = new Pcpndef[cPcpndef];
for (int i = 0; i < cPcpndef; i++)
{
if (cInputs != arvWeight[i].Count)
{
throw new ArgumentException($"Weights vectors differ in rank at [0] and [{i}]");
}
arpcpndef[i] = new Pcpndef(arvWeight[i], arsBias[i]);
}
lslayrdef.Add(new Layrdef(arpcpndef, tnsf));
}
public Layr(Pcpn[] arpcpn, Tnsf tnsf)
{
this.tnsf = tnsf;
this.arpcpn = arpcpn;
vOutput = new Vector(Count);
vPreoutput = new Vector(Count);
vSensitivity = new Vector(Count);
vAdjWeight = new Vector(arpcpn[0].cInput);
}
public Layrdef(Pcpndef[] arpcpndef, Tnsf tnsf)
{
this.arpcpndef = arpcpndef;
this.tnsf = tnsf;
}