MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Recurrent Neural Network (RNN) is a Deep learning algorithm and it is a type of Artificial Neural Network architecture that is specialized for processing sequential data. RNNs are mostly used in the field of Natural Language Processing (NLP).

Detailed explanation-2: -Recurrent neural networks (RNNs) are the state of the art algorithm for sequential data and are used by Apple’s Siri and Google’s voice search. It is the first algorithm that remembers its input, due to an internal memory, which makes it perfectly suited for machine learning problems that involve sequential data.

Detailed explanation-3: -A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data.

Detailed explanation-4: -A Deep Learning approach for modelling sequential data is Recurrent Neural Networks (RNN). RNNs were the standard suggestion for working with sequential data before the advent of attention models. Specific parameters for each element of the sequence may be required by a deep feedforward model.

Detailed explanation-5: -RNN is best suited for sequential data. It can handle arbitrary input / output lengths. RNN uses its internal memory to process arbitrary sequences of inputs. This makes RNNs best suited for predicting what comes next in a sequence of words.