Beam Search & Attention for text summarization made easy (Tutorial 5)
▻https://hackernoon.com/beam-search-attention-for-text-summarization-made-easy-tutorial-5-3b7186
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 tutorialThese Modifications areBeam SearchAttention ModelAbout SeriesThis is a series of tutorials that would help you build an abstractive text summarizer using tensorflow using multiple approaches , you don’t need to download the data nor do you need to run the code locally on your device , as data is found on google drive , (you can simply copy it to your google drive , learn more here) , and the code for this series is written in Jupyter notebooks to run on google colab can be found hereWe have covered so far (code for this series can be found here)0. (...)