Skip to Content
40 Algorithms Every Programmer Should Know
book

40 Algorithms Every Programmer Should Know

by Imran Ahmad
June 2020
Intermediate to advanced
382 pages
11h 39m
English
Packt Publishing
Content preview from 40 Algorithms Every Programmer Should Know

Using RNNs for NLP

An RNN is a traditional feed-forward network with feedback. A simple way of thinking about an RNN is that it is a neural network with states. RNNs are used with any type of data for generating and predicting various sequences of data. Training an RNN model is about formulating these sequences of data. RNNs can be used for text data as sentences are just sequences of words. When we use RNNs for NLP, we can use them for the following:

  • Predicting the next word when typing

  • Generating new text, following the style already used in the text:

Remember the combination of words that resulted in their correct prediction? The learning ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

50 Algorithms Every Programmer Should Know - Second Edition

50 Algorithms Every Programmer Should Know - Second Edition

Imran Ahmad
Grokking Algorithms

Grokking Algorithms

Aditya Bhargava

Publisher Resources

ISBN: 9781789801217Supplemental Content