Deep learning for text and sequences

Deep-learning models that would process text either understood as sequences of word or sequences of characters, statistic, and sequence data generally. The two important deep-learning algorithms for sequence processing are recurrent neural networks and 1D convnets. We'll discuss both of those approaches. Text is one of the foremost widespread sorts of sequence data. It is often understood as either a sequence of characters or a sequence of words, but it's commonest to figure at the extent of words.