Recurrent Neural Networks in the Cloud and Edge

Traditionally, neural networks had all their inputs and outputs independent of each other, but in cases, for instance, where it is required to predict the next word of a sentence, information about previous words is essential. Thus, RNN came into existence. Recurrent Neural Network (RNN) is a type of neural network where the output of the preceding step is served as input to the current step. This solved various application issues with the help of a hidden layer. The most important feature of RNN is a hidden state, which retains information about the sequence.