Which of the following statements are true?

I. Temporal sequence is important for RNN$.$

II$.$ RNN is used to process variable$-$length sequences of inputs.

III. RNN is commonly used in speech recognition and natural language processing $($NLP$).$

IV$.$ RNNs are designed to recognize a data's sequential characteristics and use patterns to predict the next likely scenario.

V$.$ RNN is a very popular Deep Learning model which is used to carry out a number of Deep Learning tasks like Time Series prediction, Image Captioning, Google auto$-$complete feature, etc. RNN as the name suggests, uses recursion techniques to build models.

Question $8$ options:

All of the above

None of the above

I, II$,$ III, IV

II$,$ III, IV$,$ V

I, II$,$ III, V