You're reading from Natural Language Processing with TensorFlow The definitive NLP book to implement the most sought-after machine learning models and tasks

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781838641351

Length 514 pages

Edition 2nd Edition

Languages

Processing

Tools

Processing

Concepts

Machine Learning

Author (1):

Thushan Ganegedara

Preface

1. Introduction to Natural Language Processing FREE CHAPTER

2. Understanding TensorFlow 2

3. Word2vec – Learning Word Embeddings

4. Advanced Word Vector Algorithms

5. Sentence Classification with Convolutional Neural Networks

6. Recurrent Neural Networks

7. Understanding Long Short-Term Memory Networks

8. Applications of LSTM – Generating Text

9. Sequence-to-Sequence Learning – Neural Machine Translation

10. Transformers

11. Image Captioning with Transformers

12. Other Books You May Enjoy

13. Index

Appendix A: Mathematical Foundations and Advanced TensorFlow

Downloading the data

The MS-COCO dataset we will be using is quite large. Therefore, we will manually download these datasets. To do that, follow the instructions below:

Create a folder called data in the Ch11-Image-Caption-Generation folder
Download the 2014 Train images set (http://images.cocodataset.org/zips/train2014.zip) containing 83K images (train2014.zip)
Download the 2017 Val images set (http://images.cocodataset.org/zips/val2017.zip) containing 5K images (val2017.zip)
Download the annotation sets for 2014 (annotations_trainval2014.zip) (http://images.cocodataset.org/annotations/annotations_trainval2014.zip) and 2017 (annotations_trainval2017.zip) (http://images.cocodataset.org/annotations/annotations_trainval2017.zip)
Copy the downloaded zip files to the Ch11-Image-Caption-Generation/data folder
Extract the zip files using the Extract to option so that it unzips the content within a sub-folder

Once you complete the above...

The rest of the chapter is locked