public override void InitMem()
{
forwardRNN.InitMem();
backwardRNN.InitMem();
//Create and intialise the weights from hidden to output layer, these are just normal weights
Hidden2OutputWeight = new Matrix <double>(L2, L1);
for (int i = 0; i < Hidden2OutputWeight.Height; i++)
{
for (int j = 0; j < Hidden2OutputWeight.Width; j++)
{
Hidden2OutputWeight[i][j] = RandInitWeight();
}
}
Hidden2OutputWeightLearningRate = new Matrix <double>(L2, L1);
}
