public void Initialise()
{
if (Parameters == null)
{
Debug.Log("Building PFNN failed because no parameters were loaded.");
return;
}
Xmean = Parameters.GetMatrix(0).Build();
Xstd = Parameters.GetMatrix(1).Build();
Ymean = Parameters.GetMatrix(2).Build();
Ystd = Parameters.GetMatrix(3).Build();
W0 = new Matrix[50];
W1 = new Matrix[50];
W2 = new Matrix[50];
b0 = new Matrix[50];
b1 = new Matrix[50];
b2 = new Matrix[50];
for (int i = 0; i < 50; i++)
{
W0[i] = Parameters.GetMatrix(4 + i * 6 + 0).Build();
W1[i] = Parameters.GetMatrix(4 + i * 6 + 1).Build();
W2[i] = Parameters.GetMatrix(4 + i * 6 + 2).Build();
b0[i] = Parameters.GetMatrix(4 + i * 6 + 3).Build();
b1[i] = Parameters.GetMatrix(4 + i * 6 + 4).Build();
b2[i] = Parameters.GetMatrix(4 + i * 6 + 5).Build();
}
X = new Matrix(XDim, 1);
Y = new Matrix(YDim, 1);
}
private void SetupMatrix(int index)
{
NetworkParameters.FloatMatrix matrix = Parameters.GetMatrix(index);
for (int i = 0; i < matrix.Rows; i++)
{
for (int j = 0; j < matrix.Cols; j++)
{
SetValue(Network, index, i, j, matrix.Values[i].Values[j]);
}
}
}
public void Initialise()
{
if (Parameters == null)
{
Debug.Log("Building MLP failed because no parameters were loaded.");
return;
}
Xmean = Parameters.GetMatrix(0).Build();
Xstd = Parameters.GetMatrix(1).Build();
Ymean = Parameters.GetMatrix(2).Build();
Ystd = Parameters.GetMatrix(3).Build();
W0 = Parameters.GetMatrix(4).Build();
W1 = Parameters.GetMatrix(5).Build();
W2 = Parameters.GetMatrix(6).Build();
b0 = Parameters.GetMatrix(7).Build();
b1 = Parameters.GetMatrix(8).Build();
b2 = Parameters.GetMatrix(9).Build();
X = new Matrix(XDim, 1);
Y = new Matrix(YDim, 1);
}