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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

What is TensorFlow?

In Chapter 1, Introduction to Natural Language Processing, we briefly discussed what TensorFlow is. Now let’s take a closer look at it. TensorFlow is an open source, distributed numerical computation framework released by Google that is mainly intended to alleviate the painful details of implementing a neural network (for example, computing derivatives of the weights of the neural network). TensorFlow takes this a step further by providing efficient implementations of such numerical computations using Compute Unified Device Architecture (CUDA), which is a parallel computational platform introduced by NVIDIA (for more information on CUDA, visit https://blogs.nvidia.com/blog/2012/09/10/what-is-cuda-2/). The Application Programming Interface (API) of TensorFlow at https://www.tensorflow.org/api_docs/python/tf/all_symbols shows that TensorFlow provides thousands of operations that make our lives easier.

TensorFlow was not developed overnight. This is a result...

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