Can someone please explain this? I know bidirectional LSTMs have a forward and backward pass but what is the advantage of this over a unidirectional LSTM?
Another use case of bidirectional LSTM might be for word classification in the text. They can see the past and future context of the word and are much better suited to classify the word.