Natural Language Processing with TensorFlow

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Natural Language Processing with TensorFlow

Natural Language Processing with TensorFlow


This eBook includes

Formats : PDF (Read Only)

Pages : 514

ISBN : 9781838647742

Edition : Second Edition

Language : English

About the Book

Book description

From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models

Key Features

  • Learn to solve common NLP problems effectively with TensorFlow 2.x
  • Implement end-to-end data pipelines guided by the underlying ML model architecture
  • Use advanced LSTM techniques for complex data transformations, custom models and metrics

Book Description

Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures.

The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of TensorFlow 2.x. In the following chapters, you then learn how to generate powerful word vectors, classify text, generate new text, and generate image captions, among other exciting use-cases of real-world NLP.

TensorFlow has evolved to be an ecosystem that supports a machine learning workflow through ingesting and transforming data, building models, monitoring, and productionization. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models.

By the end of this NLP book, you will be comfortable with using TensorFlow to build deep learning models with many different architectures, and efficiently ingest data using TensorFlow Additionally, you’ll be able to confidently use TensorFlow throughout your machine learning workflow.

What you will learn

  • Learn core concepts of NLP and techniques with TensorFlow
  • Use state-of-the-art Transformers and how they are used to solve NLP tasks
  • Perform sentence classification and text generation using CNNs and RNNs
  • Utilize advanced models for machine translation and image caption generation
  • Build end-to-end data pipelines in TensorFlow
  • Learn interesting facts and practices related to the task at hand
  • Create word representations of large amounts of data for deep learning

Who this book is for

This book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks.

Fundamental Python skills are assumed, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required.

Natural Language Processing with TensorFlow

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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