Recurrent neural networks (RNNs) are another type of neural network, and are tremendously good at NLP tasks—for example, sentiment analysis, sequence prediction, speech-to-text translation, language-to-language translation, and so on. Consider an example: you open up Google and you start searching for recurrent neural networks. The moment you start typing a word, Google starts giving you a list of suggestions which is most likely to be topped by the complete word, or the most commonly searched phrase that begins with the letters you have typed by then. This is an example of sequence prediction where the task is to predict the next sequence of the given phrase.
Let's take another example: you are given a bunch of ...
