A Recurrent Neural Network (RNN) is a type of artificial neural network that has a loop in its architecture, allowing it to process sequences of data with the output being dependent on the previous computations. For example, in the sentence “The cat sat on the mat,” an RNN could use the hidden state to remember that “the” refers to a specific object, rather than just being a generic article. This allows the RNN to correctly translate the sentence into another language, even if the words are not in the same order as the original sentence.
