Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Recurrent Neural Networks with Python Quick Start Guide

You're reading from   Recurrent Neural Networks with Python Quick Start Guide Sequential learning and language modeling with TensorFlow

Arrow left icon
Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789132335
Length 122 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Simeon Kostadinov Simeon Kostadinov
Author Profile Icon Simeon Kostadinov
Simeon Kostadinov
Arrow right icon
View More author details
Toc

Generating your book chapter

After going through the theoretical part of this chapter, we are ready to dive into coding. I hope you grasp the fundamental behind the GRU model and will feel comfortable seeing the notations in the TensorFlow program. It consists of five parts, most of which may be familiar to you from Chapter 2, Building Your First RNN with TensorFlow:

  • Obtaining the book text: this one is really straightforward. Your task is to assure a lot of plain text is ready for training. 
  • Encoding the text: this one can be challenging, since we need to accommodate the encoding with the proper dimensions. Sometimes, this operation can take more time than expected but it is a requirement for compiling the program flawlessly. There are different types of encoding algorithms and we will choose a fairly simple one so you fully understand its true essence.
  • Building the TensorFlow...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime