Which of these is a CORRECT description of how a recurrent neural network (RNN) layers output can be mapped to a single prediction output?

A. The RNN layers final memory state vector is summed to return the final prediction

B. The RNN layer returns a sequence of processed values that are then averaged to return the final prediction

C. Its not possible to map RNN output to a single prediction output

D. The RNN layers final memory state vector is used as flat input into fully connected layers that terminate in the final prediction