Recurrent neural networks (RNN) are very powerful types of neural networks and are the most promising algorithm because they are the only ones with an internal memory (Boca Raton Mhaskar et al. Learning functions: when is deep better than shallow. arXiv:1603.00988, 2016). RNN is the most preferred algorithm for sequential data that includes speech, text, financial data, audio, video, weather, and much more as it can provide a deeper understanding of sequence and its meaning compared to other algorithms (Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras. [Authors: RajalingappaaShanmugamani]). It is generally used to obtain predictive results in sequential data.