Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques, Kulkarni Akshay, Shivananda Adarsha, Kulkarni Anoosh
Автор: Bilgin Enes Название: Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices ISBN: 1838644148 ISBN-13(EAN): 9781838644147 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on expert-level explanations and implementations of scalable reinforcement learning algorithms and approaches. Starting with the fundamentals, the book covers state-of-the-art methods from bandit problems to meta-reinforcement learning. You`ll also explore practical examples inspired by real-life problems from the industry.
Автор: Chopra Rohan, Godbole Aniruddha M., Sadvilkar Nipun Название: The Natural Language Processing Workshop: Confidently design and build your own NLP projects with this easy-to-understand practical guide ISBN: 1800208421 ISBN-13(EAN): 9781800208421 Издательство: Неизвестно Рейтинг: Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Natural Language Processing Workshop takes you through fundamental NLP techniques, such as preparing datasets, collecting text, extracting text, and sentiment analysis. As you progress, you`ll get to grips with creating your own chatbots and dynamic models.
Автор: Kosheleva Olga, Shary Sergey P., Xiang Gang Название: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications ISBN: 303031040X ISBN-13(EAN): 9783030310400 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.
Автор: Kar Krishnendu Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques ISBN: 1838827064 ISBN-13(EAN): 9781838827069 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
Автор: Rothman Denis Название: Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBER ISBN: 1800565798 ISBN-13(EAN): 9781800565791 Издательство: Неизвестно Рейтинг: Цена: 122600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume reports on excavations in advance of the development of a site in Norton-on-Derwent, North Yorkshire close to the line of the main Roman road running from the crossing point of the River Derwent near Malton Roman fort to York. This site provided much additional information on aspects of the poorly understood `small town` of Delgovicia.
Автор: Kedia Aman, Rasu Mayank Название: Hands-On Python Natural Language Processing: Explore tools and techniques to analyze and process text with a view to building real-world NLP applicati ISBN: 1838989595 ISBN-13(EAN): 9781838989590 Издательство: Неизвестно Рейтинг: Цена: 43630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a blend of both the theoretical and practical aspects of Natural Language Processing (NLP). It covers the concepts essential to develop a thorough understanding of NLP and also delves into a detailed discussion on NLP based use-cases such as language translation, sentiment analysis, etc. Every module covers real-world examples
Автор: Huang Chuanchao, Chan Yu-Wei, Yen Neil Название: Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019) ISBN: 9811514674 ISBN-13(EAN): 9789811514678 Издательство: Springer Цена: 279500.00 T Наличие на складе: Поставка под заказ. Описание: Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15-16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks;
Автор: Huang Chuanchao, Chan Yu-Wei, Yen Neil Название: 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems: Dpta 2020 ISBN: 9811617252 ISBN-13(EAN): 9789811617256 Издательство: Springer Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers cutting-edge and advanced research on data processing techniques and applications for cyber-physical systems, gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2020), held in Laibin City, Guangxi Province, China, on December 11-12, 2020.
Автор: Kosheleva Olga, Shary Sergey P., Xiang Gang Название: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications ISBN: 3030310434 ISBN-13(EAN): 9783030310431 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.
Автор: Jude Hemanth; Valentina Emilia Balas Название: Biologically Rationalized Computing Techniques For Image Processing Applications ISBN: 3319613154 ISBN-13(EAN): 9783319613154 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so.
Автор: Jude Hemanth; Valentina Emilia Balas Название: Nature Inspired Optimization Techniques for Image Processing Applications ISBN: 303007126X ISBN-13(EAN): 9783030071264 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Поставка под заказ. Описание: This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so.
Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.
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