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Natural Language Processing with TensorFlow
Natural Language Processing with TensorFlow

Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

By Motaz Saad , Thushan Ganegedara
$35.99 $9.99
Book May 2018 472 pages 1st Edition
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eBook
$35.99 $9.99
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$15.99 Monthly

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Product Details


Publication date : May 31, 2018
Length 472 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781788478311
Category :
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Natural Language Processing with TensorFlow

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Key benefits

  • • Focuses on more efficient natural language processing using TensorFlow
  • • Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches
  • • Provides choices for how to process and evaluate large unstructured text datasets
  • • Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence

Description

Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks.

What you will learn

• Core concepts of NLP and various approaches to natural language processing • How to solve NLP tasks by applying TensorFlow functions to create neural networks • Strategies to process large amounts of data into word representations that can be used by deep learning applications • Techniques for performing sentence classification and language generation using CNNs and RNNs • About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks • How to write automatic translation programs and implement an actual neural machine translator from scratch • The trends and innovations that are paving the future in NLP

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : May 31, 2018
Length 472 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781788478311
Category :

Table of Contents

16 Chapters
Natural Language Processing with TensorFlow Chevron down icon Chevron up icon
Contributors Chevron down icon Chevron up icon
Preface Chevron down icon Chevron up icon
1. Introduction to Natural Language Processing Chevron down icon Chevron up icon
2. Understanding TensorFlow Chevron down icon Chevron up icon
3. Word2vec – Learning Word Embeddings Chevron down icon Chevron up icon
4. Advanced Word2vec Chevron down icon Chevron up icon
5. Sentence Classification with Convolutional Neural Networks Chevron down icon Chevron up icon
6. Recurrent Neural Networks Chevron down icon Chevron up icon
7. Long Short-Term Memory Networks Chevron down icon Chevron up icon
8. Applications of LSTM – Generating Text Chevron down icon Chevron up icon
9. Applications of LSTM – Image Caption Generation Chevron down icon Chevron up icon
10. Sequence-to-Sequence Learning – Neural Machine Translation Chevron down icon Chevron up icon
11. Current Trends and the Future of Natural Language Processing Chevron down icon Chevron up icon
Mathematical Foundations and Advanced TensorFlow Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

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