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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises;

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Real-World Natural Language Processing: Practical Applications with Deep Learning

language as it is written and spoken. Real-world Natural Language Processing teaches you how to create practical NLP applications without;

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Neural Networks for Natural Language Processing

the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative;

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Neural Networks for Natural Language Processing

the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative;

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Hands-On Python Natural Language Processing

concepts and provides exposure to real-world applications along with a solid theoretical grounding. This book starts by introducing you to the;

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Python Natural Language Processing

Learning and Deep Learning techniques for efficient natural language processing * Get started with NLTK and implement NLP in your applications;

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Deep Learning

, machine learning, and natural language processing through diagrams, source code, and real-world applications * This step-by-step guide will help;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Deep Learning for NLP and Speech Recognition

real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific;

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Deep Learning for Nlp and Speech Recognition

real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific;

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Deep Learning with R

want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new;

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Deep Learning for Remote Sensing Images with Open Source Software

Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing;

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Deep Learning for Remote Sensing Images with Open Source Software

Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing;

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Deep Learning

multitask deep learning. This is a timely and important book for researchers and students with an interest in deep learning methodology and its;

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Advances in Computational Collective Intelligence

approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective;

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Deep Learning with Python

very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language;

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Deep Learning Essentials

some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You;

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Hands-On Deep Learning with R

with using reinforcement learning and deep reinforcement learning to solve various real-world problems. By the end of this deep learning book;

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Deep Learning for Natural Language Processing

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such;

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Deep Learning with Applications Using Python

required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;

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Natural Language Processing Recipes

industries and you will have worked on multiple examples of implementing NLP in the real world. What You Will Learn Know the core concepts;

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Deep Learning for Data Analytics

real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Machine Learning for Text

relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Blueprints for Text Analytics using Python Machine Learning Based Solutions for Common Real World NLP Applications

and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens;

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