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

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Table of Contents (15) Chapters

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

Keras: The model building API of TensorFlow

Keras was developed as a separate library that provides high-level building blocks to build models conveniently. It was initially platform-agnostic and supported many softwares (for example, TensorFlow and Theano).

However, TensorFlow acquired Keras and now is an integral part of TensorFlow for building models effortlessly.

Keras’s primary focus is model building. For that, Keras provides several different APIs with varying degrees of flexibility and complexity. Choosing the right API for the job will require sound knowledge of the limitations of each API as well as experience. The APIs provided by Keras are:

Sequential API – The most easy-to-use API. In this API, you simply stack layers on top of each other to create a model.
Functional API – The functional API provides more flexibility by allowing you to define custom models that can have multiple input layers/multiple output layers.

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

Table of Contents (15) Chapters

Keras: The model building API of TensorFlow

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Authors (1)