Signal to Signal processing

Hello all,

I’m new to deep learning and am looking for some advice on models and processes to be using for my task.

I have sequential data consisting of eight variables at every time step as input; and the output is one variable, also at every time step.

I am starting with a simple RNN using LSTMs. Is there any other models or processes that I should be aware of that may improve performance?

Thanks very much!