/// <summary>
/// Partial convolution layer
/// </summary>
/// <param name="input"></param>
/// <param name="isoutput"></param>
public void Calculate(double[,] input, bool isoutput)
{
if (NN.UseNesterov && NN.UseMomentum)
{
for (int i = 0; i < KernelSize; i++)
{
for (int ii = 0; ii < KernelSize; ii++)
{
Weights[i, ii] = Weights[i, ii] + (NN.Momentum * WMomentum[i, ii]);
}
}
}
var output = Convolve(Weights, input);
ZVals = Maths.Convert(output);
if (!isoutput)
{
output = Maths.Tanh(output);
}
Values = Maths.Convert(output);
}
public void Calculate(double[] input, bool output)
{
var vals = new double[Length];
if (NN.UseNesterov && NN.UseMomentum)
{
for (int i = 0; i < Length; i++)
{
for (int ii = 0; ii < InputLength; ii++)
{
Weights[i, ii] = Weights[i, ii] + (NN.Momentum * WMomentum[i, ii]);
}
Biases[i] = Biases[i] + (NN.Momentum * BMomentum[i]);
}
}
for (int k = 0; k < Length; k++)
{
for (int j = 0; j < InputLength; j++)
{
vals[k] += Weights[k, j] * input[j];
}
if (!output)
{
vals[k] += Biases[k];
}
}
ZVals = vals;
if (!output)
{
Values = Maths.Tanh(vals);
}
else
{
Values = vals;
}
}