Reader small image

You're reading from  Hands-On Natural Language Processing with PyTorch 1.x

Product typeBook
Published inJul 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781789802740
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Thomas Dop
Thomas Dop
author image
Thomas Dop

Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University of Amsterdam.
Read more about Thomas Dop

Right arrow

Summary

In this chapter, we discussed the fundamentals of RNNs and one of their main variations, LSTM. We then demonstrated how you can build your own RNN from scratch and deploy it on the cloud-based platform Heroku. While RNNs are often used for deep learning on NLP tasks, they are by no means the only neural network architecture suitable for this task.

In the next chapter, we will look at convolutional neural networks and show how they can be used for NLP learning tasks.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Hands-On Natural Language Processing with PyTorch 1.x
Published in: Jul 2020Publisher: PacktISBN-13: 9781789802740

Author (1)

author image
Thomas Dop

Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University of Amsterdam.
Read more about Thomas Dop