Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
TensorFlow 2.0 Quick Start Guide

You're reading from  TensorFlow 2.0 Quick Start Guide

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789530759
Pages 196 pages
Edition 1st Edition
Languages
Author (1):
Tony Holdroyd Tony Holdroyd
Profile icon Tony Holdroyd

Table of Contents (15) Chapters

Preface 1. Section 1: Introduction to TensorFlow 2.00 Alpha
2. Introducing TensorFlow 2 3. Keras, a High-Level API for TensorFlow 2 4. ANN Technologies Using TensorFlow 2 5. Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
6. Supervised Machine Learning Using TensorFlow 2 7. Unsupervised Learning Using TensorFlow 2 8. Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
9. Recognizing Images with TensorFlow 2 10. Neural Style Transfer Using TensorFlow 2 11. Recurrent Neural Networks Using TensorFlow 2 12. TensorFlow Estimators and TensorFlow Hub 13. Converting from tf1.12 to tf2
14. Other Books You May Enjoy

An application of RNNs

In this application, we will see how to create text using a character-based recurrent neural network. It is easy to change the corpus of text that to be used (see the example to follow); here, we will use the novel Great Expectations by Charles Dickens. We will train the network on this text so that, if we give it a character sequence such as thousan, it will produce the next character in the sequence, d. This process can be continued, and longer sequences of text created by calling the model repeatedly on the evolving sequence.

Here is an example of the text created before the model is trained:

Input: 
 'o else is there to inform?”\n\n“Is there no chance person who might identify you in the street?” said\n'
Next Char Predictions: 
 "dUFdZ!mig())'(ZIon“4g&HZ”@\nWGWtlinnqQY*dGJ7ioU'6(vLKL&...
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 $15.99/month. Cancel anytime}