Long Short Term Memory Networks (LSTMs) work really well whenever you might need a recurrent network. As you might have guessed, LSTMs excel at learning long-term interactions. In fact, that's what they were designed to do.
LSTMs are able to both accumulate information from previous time steps, and selectively choose when to forget some irrelevant information in favor of some new more relevant information.
As an example, consider the sequence In highschool I took Spanish. When I went to France I spoke French. If we were training a network to predict the word French, it would be very important to remember France and selectively forget Spanish, because the context has shifted. LSTMs can selectively forget things, ...
