Natural language processing tensorflow von ganegedara thushan (32 Ergebnisse)

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Paperback or Softback. Zustand: New. Natural Language Processing with TensorFlow - Second Edition: The definitive NLP book to implement the most sought-after machine learning models and t. Book.

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Paperback. Zustand: New. Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is one of the leading frameworks for implementing production-grade machine learning solutions. By the end of this book, you'll be ready to confidently develop end-to-end machine learning solutions efficiently with TensorFlow.…

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Paperback. Zustand: New. Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is one of the leading frameworks for implementing production-grade machine learning solutions. By the end of this book, you'll be ready to confidently develop end-to-end machine learning solutions efficiently with TensorFlow.…

paperback. Zustand: 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 .…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber 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.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.…

Taschenbuch. Zustand: 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) modelsKey Features:Learn to solve common NLP problems effectively with TensorFlow 2.xImplement end-to-end data pipelines guided by the underlying ML model architectureUse advanced LSTM techniques for complex data transformations, custom models and metricsBook 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 TensorFlowUse statee-of-the-art Transformers and how they are used to solve NLP tasksPerform sentence classification and text generation using CNNs and RNNSUtilize advanced models for machine translation and image caption generationBuild end-to-end data pipelines in TensorFlowLearn interesting facts and practices related to the task at handCreate word representations of large amounts of data for deep learningWho 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.…