(Choose 1 answer)
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 x<1>.....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 xy. 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 lake into account more information.
B. Bidirectional RNN, because this allows backpropagation to compute more accurate gradients.
C. Unidirectional RNN, because the value of y<t> depends only on x<1>,...,x<t>, but not on x<t+1>,...,x<365>
D. Unidirectional RNN, because the value of y<t> depends only on x<t>, and not other day's wheather
Exit 22
