Sequence-to-sequence (abrv. Seq2Seq) models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, and image captioning. Google Translate…

As LSTMs gained popularity, the NLP community improved language models by moving from shallow static embeddings, that only partially took into account the context of a word, to more…

Turning all the intricacies of Attention to one elegant line in Keras

This article covers Seq2Seq models and Attention models. This seq2seq tutorial explains Sequence to Sequence modelling with Attention.

This tutorial is the fifth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would discuss some useful modification to the core RNN seq2seq model we have covered in the last tutorial