Rest of the layers are processed accordingly.
we can define the above process as follows: from a L layer DC-Bi-LSTM model, the output is The nested LSTMs (NL-STMs) architecture (Moniz and Krueger, 2017) creates a temporal hierarchy of memories that achieved significant improvement over the singlelayer or stacked LSTM architectures to learn longer-term dependencies.