public BiGRU(int xSize, int hSize, int ySize, int batchSize, int seqLen)
{
forward = new LayeredNet <T>(batchSize, seqLen, new GruLayer <T>(xSize, hSize));
backward = new LayeredNet <T>(batchSize, seqLen, new GruLayer <T>(xSize, hSize));
outNet = new LayeredNet <T>(batchSize, seqLen, new GruLayer <T>(hSize * 2, hSize), new LinearLayer <T>(hSize, ySize));
}
public BiGRU(BiGRU <T> other)
{
forward = other.forward.Clone();
backward = other.backward.Clone();
outNet = other.outNet.Clone();
}
protected NeuralNet(NeuralNet <T> other)
{
Optimizer = other.Optimizer.Clone();
}