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Natural Language Processing with TensorFlow

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

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781838641351
Length 514 pages
Edition 2nd Edition
Languages
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Author (1):
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Thushan Ganegedara Thushan Ganegedara
Author Profile Icon Thushan Ganegedara
Thushan Ganegedara
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Table of Contents (15) Chapters Close

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

Appendix A: Mathematical Foundations and Advanced TensorFlow

Here we will discuss some concepts that will be useful for helping you to understand certain details provided in the chapters. First, we will discuss several mathematical data structures found throughout the book, followed by a description of the various operations performed on those data structures. After that, we will discuss the concept of probabilities. Probabilities play a vital role in machine learning, as they usually give insights into how uncertain a model is about its prediction. Finally, we will conclude this appendix with a guide on how to use TensorBoard as a visualization tool for word embeddings.

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