Seq2Seq Approaches in ML

 Seg2Seg

Seq2seq, developed by Google for use in machine translation, is a family of machine learning approaches used for language processing. Applications include language translation, image captioning, conversational models, and text summarization.

Source: https://towardsdatascience.com/understanding-encoder-decoder-sequence-to-sequence-model-679e04af4346

Seq2seq turns one sequence into another sequence (sequence transformation). It does so by use of a recurrent neural network (RNN) or more often LSTM or GRU to avoid the problem of vanishing gradient.