Search icon CANCEL
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
The TensorFlow Workshop

You're reading from   The TensorFlow Workshop A hands-on guide to building deep learning models from scratch using real-world datasets

Arrow left icon
Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800205253
Length 600 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (4):
Arrow left icon
Matthew Moocarme Matthew Moocarme
Author Profile Icon Matthew Moocarme
Matthew Moocarme
Abhranshu Bagchi Abhranshu Bagchi
Author Profile Icon Abhranshu Bagchi
Abhranshu Bagchi
Anthony Maddalone Anthony Maddalone
Author Profile Icon Anthony Maddalone
Anthony Maddalone
Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface
1. Introduction to Machine Learning with TensorFlow 2. Loading and Processing Data FREE CHAPTER 3. TensorFlow Development 4. Regression and Classification Models 5. Classification Models 6. Regularization and Hyperparameter Tuning 7. Convolutional Neural Networks 8. Pre-Trained Networks 9. Recurrent Neural Networks 10. Custom TensorFlow Components 11. Generative Models Appendix

Natural Language Processing

Natural Language Processing (NLP) is a quickly growing field that is both challenging and rewarding. NLP takes valuable data that has traditionally been very difficult for machines to make sense of and turns it into information that can be used. This data can take the form of sentences, words, characters, text, and audio, to name a few. Why is this such a difficult task for machines? To answer that question, consider the following examples.

Recall the two sentences: it is what it is and is it what it is. These two sentences, though they have completely opposite semantic meanings, would have the exact same representations in this bag of words format. This is because they have the exact same words, just in a different order. So, you know that you need to use a sequential model to process this, but what else? There are several tools and techniques that have been developed to solve these problems. But before you get to that, you need to learn how to preprocess...

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 €18.99/month. Cancel anytime