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TensorFlow Developer Certificate Guide

You're reading from   TensorFlow Developer Certificate Guide Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803240138
Length 344 pages
Edition 1st Edition
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Author (1):
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Oluwole Fagbohun Oluwole Fagbohun
Author Profile Icon Oluwole Fagbohun
Oluwole Fagbohun
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1 – Introduction to TensorFlow
2. Chapter 1: Introduction to Machine Learning FREE CHAPTER 3. Chapter 2: Introduction to TensorFlow 4. Chapter 3: Linear Regression with TensorFlow 5. Chapter 4: Classification with TensorFlow 6. Part 2 – Image Classification with TensorFlow
7. Chapter 5: Image Classification with Neural Networks 8. Chapter 6: Improving the Model 9. Chapter 7: Image Classification with Convolutional Neural Networks 10. Chapter 8: Handling Overfitting 11. Chapter 9: Transfer Learning 12. Part 3 – Natural Language Processing with TensorFlow
13. Chapter 10: Introduction to Natural Language Processing 14. Chapter 11: NLP with TensorFlow 15. Part 4 – Time Series with TensorFlow
16. Chapter 12: Introduction to Time Series, Sequences, and Predictions 17. Chapter 13: Time Series, Sequences, and Prediction with TensorFlow 18. Index 19. Other Books You May Enjoy

Text preprocessing

NLP is an exciting and evolving field that lies at the intersection of computer science and linguistics. It empowers computers with the ability to understand, analyze, interpret, and generate text data. However, working with text data presents a unique set of challenges, one that differs from the tabular and image data we worked with in the earlier sections of this book. Figure 10.1 gives us a high-level overview of some of the inherent challenges that text data presents. Let’s drill into them and see what and how they present issues to us when building deep learning models with text data.

Figure 10.1 – The challenges presented by text data

Figure 10.1 – The challenges presented by text data

Text data in its natural form is unstructured, and this is just the beginning of the uniqueness of this interesting type of data we will work with in this chapter. Let's illustrate some of the issues by looking at these two sentences – “The house next to ours is beautiful...

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