LSTM Vs GRU in Recurrent Neural Network: A Comparative Study

A recurrent neural network is a type of ANN that is used when users want to perform predictive operations on sequential or time-series based data. These Deep learning layers are commonly used for ordinal or temporal problems such as Natural Language Processing, Neural Machine Translation, automated image captioning tasks and likewise. Today's modern voice assistance devices such as Google Assistance, Alexa, Siri are incorporated with these layers to fulfil hassle-free experiences for users. The main difference between the RNN and CNN is that RNN is incorporated with memory to take any information from prior inputs to influence the Current input and output. Training methods for this network are the same.