Please explain as best you can how to get the answer(with theory) and I will give you a thumbs up. Don't simply use chat GPT.

(c) Fig. Q3(b) shows the structure of an unfolded RNN. In the figure, xt is the input to the RNN at time step t,s0 denotes the initial state of the RNN, and y is an output score at the last time step T (the scores at time steps 1 to T1 are discarded). Specifically, given an input sequence {x1,,xT} and an initial state s0, the RNN can output a score at time step T. Discuss the kind of application that this unfolded RNN is suitable for. Briefly explain your answer. (6 marks) (d) In Fig. Q3(b), are the weight matrices in the shaded boxes the same or different? (2 marks)