Unlike typical DNN, which assumes that inputs and outputs are independent of one another, the output of RNN is reliant on prior factors in the sequence. Even so, typical recurrent networks have The difficulty of vanishing gradients, that makes learning prolonged knowledge sequences demanding. In the next, we go over numerous well-known variants in