Introduction to Recurrent Neural Networks

In this chapter of our Artificial Neural Network introduction series, we will be talking about the Recurrent Neural Networks (RNNs) which are the building blocks for Natural Language Processing (NLP) and Machine Translation technologies. This is due to their ease in comprehending sequential data like sentences and voice snippets. RNN aims to make predictions on sequential data by utilising memory-based architecture. On contrary to the feed-forward network where no two inputs share the knowledge, RNNs incorporates additional memory states. Therefore, the predictions not only depend on the current state but also the previous information.