I know about such neural networks as LSTM and GRU, which are good for working with sequence data. But recently I learned about Bidirectional wrapper of these models in Keras. What is this wrapper for and where should be used?
It is for looking at sequences not only from the beginning to the end but also in the opposite direction, from the end to the beginning. It can be good for such situations where we can derive some benefit from looking at the later data prior to looking at the earlier data.