Published by Packt Publishing - ebooks Account (edition ), 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
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Published by Packt Publishing 2018-05, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
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Published by Packt Publishing - ebooks Account, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
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Published by Packt Publishing 7/29/2022, 2022
ISBN 10: 1838641351 ISBN 13: 9781838641351
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Add to basketPaperback or Softback. Condition: New. Natural Language Processing with TensorFlow - Second Edition: The definitive NLP book to implement the most sought-after machine learning models and t 1.93. Book.
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Add to basketCondition: New. Über den AutorrnrnThushan is a seasoned ML practitioner with 4+ years of experience in the industry. Currently he is a senior machine learning engineer at Canva an Australian startup that founded the online visual design software, Canva, s.
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Add to basketCondition: New. TensorFlow is the leading framework for deep learning algorithms critical to artificial intelligence, and natural language processing (NLP) makes much of the data used by deep learning applications accessible to them. This book brings the two together and t.
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Published by Packt Publishing - ebooks Account, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
Language: English
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Published by Packt Publishing Limited, 2022
ISBN 10: 1838641351 ISBN 13: 9781838641351
Language: English
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Published by Packt Publishing Limited, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
Language: English
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Published by Packt Publishing Limited, 2022
ISBN 10: 1838641351 ISBN 13: 9781838641351
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ISBN 10: 7111629140 ISBN 13: 9787111629146
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2019-07-01 Publisher: Machinery Industry Press Chapter 1 is a brief introduction of NLP. This chapter will first discuss why we need the NLP. Next. NLP will discuss some common sub-tasks. After that. the NLP discuss two major phases. namely the traditional stage and depth of the learning phase. By studying how to use the traditional language modeling algorithm to solve the task .
Published by Packt Publishing Limited, 2022
ISBN 10: 1838641351 ISBN 13: 9781838641351
Language: English
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Published by Packt Publishing Limited, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Published by Packt Publishing Limited, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
Language: English
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Published by Packt Publishing, Limited, 2018
ISBN 10: 1788478312 ISBN 13: 9781788478311
Language: English
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 statee-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.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features: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 Book 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 Who this book is for: This book is for Python developers 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 some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.
Published by Packt Publishing, Limited, 2022
ISBN 10: 1838641351 ISBN 13: 9781838641351
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 514.