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==Architecture==
[[File:RNN BRNN.png|thumbnail|Structure of RNN and BRNN<ref name="Schuster" />|alt=|350x350px]]
The principle of BRNN is to split the neurons of a regular RNN into two directions, one for positive time direction (forward states), and another for negative time direction (backward states). Those two states’ output are not connected to inputs of the opposite direction states. The general structure of RNN and BRNN can be depicted in the right diagram. By using two time directions, input information from the past and future of the current time frame can be used unlike standard RNN which requires the delays for including future information.<ref name="Schuster" />
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