(16)
(Choose 1 answer)
A. A
B. B
C. C
D. D
You have a pet dog whose mood is heavily dependent on the current and past few days' weather.You've collected data for the past 365 days on the weather, which you represent as a sequence as x1,..., x<365>. You've also collected data on your dog's mood, which you represent as y<1>, ..., y<365>. You'd like to build a model to map from x → y. Should you use a Unidirectional RNN or Bidirectional RNN for this problem?
a. Bidirectional RNN, because this allows the prediction of mood on day t to take into account
more information.
b. Bidirectional RNN, because this allows backpropagation to compute more accurate gradients.
C.Unidirectional RNN, because the value of y depends only on x1, ..., xt, but not on xt+1>, ...,X<365>
d. Unidirectional RNN, because the value of y depends only on xt, and not other days'weather.
