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 Название: Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
Автор: Yanan Sun, Gary G. Yen, Mengjie Zhang
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 335
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB
This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks (DNN). The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields. | |
Разместил: Ingvar16 12-11-2022, 14:31 | Комментарии: 0 | Подробнее
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 Название: Explainable Edge AI: A Futuristic Computing Perspective
Автор: Aboul Ella Hassanien, Deepak Gupta, Anuj Kumar Singh
Издательство: Springer
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true), epub
Размер: 19.4 MB
This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. The proposed protocol is implemented using TensorFlow and Keras libraries in Python language. | |
Разместил: Ingvar16 12-11-2022, 14:06 | Комментарии: 0 | Подробнее
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 Название: Deep Learning: From Big Data to Artificial Intelligence with R
Автор: Dr. Stéphane Tufféry
Издательство: Wiley
Год: 2023
Страниц: 542
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB
A concise and practical exploration of key topics and applications in Data Science. In Deep Learning: From Big Data to Artificial Intelligence with R , expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. | |
Разместил: Ingvar16 12-11-2022, 13:23 | Комментарии: 0 | Подробнее
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 Название: Machine Learning on Commodity Tiny Devices: Theory and Practice
Автор: Song Guo, Qihua Zhou
Издательство: CRC Press
Год: 2023
Страниц: 268
Язык: английский
Формат: pdf (true)
Размер: 30.3 MB
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of the latest research progress and provides system-level insights on designing TinyML frameworks, including neural network design, training algorithm optimization and domain-specific hardware acceleration. It identifies the main challenges when deploying TinyML tasks in the real world and guides the researchers to deploy a reliable learning system. | |
Разместил: Ingvar16 12-11-2022, 07:01 | Комментарии: 0 | Подробнее
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 Название: Building Feature Extraction with Machine Learning: Geospatial Applications
Автор: Bharath H. Aithal, Prakash P.S.
Издательство: CRC Press
Год: 2023
Страниц: 145
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB
Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and Machine Learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Explains the methods for estimating object height from optical satellite remote sensing images using Python. | |
Разместил: Ingvar16 12-11-2022, 06:44 | Комментарии: 0 | Подробнее
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 Название: Normalization Techniques in Deep Learning
Автор: Lei Huang
Издательство: Springer
Год: 2022
Страниц: 117
Язык: английский
Формат: pdf (true), epub
Размер: 13.5 MB
This book presents and surveys normalization techniques with a deep analysis in training deep neural networks. In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN architectures. The author provides guidelines for elaborating, understanding, and applying normalization methods. This book is ideal for readers working on the development of novel deep learning algorithms and/or their applications to solve practical problems in computer vision and machine learning tasks. The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs. | |
Разместил: Ingvar16 12-11-2022, 05:43 | Комментарии: 0 | Подробнее
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 Название: Пять строк кода. Роберт Мартин рекомендует
Автор: Кристиан Клаусен
Издательство: Питер
Год: 2023
Страниц: 359
Язык: русский
Формат: pdf
Размер: 10.9 MB
В каждой кодовой базе есть ошибки и слабые места, которые нужно найти и исправить. Правильный рефакторинг сделает ваш код элегантным, удобным для чтения и простым в обслуживании. Познакомьтесь с уникальным подходом, позволяющим реализовать любой метод в пяти строках кода. И не забывайте про тайну, хорошо известную большинству senior-разработчиков: иногда проще ухудшить код и вернуться к его исправлению позже. «Пять строк кода» — это свежий взгляд на рефакторинг для разработчиков любого уровня. Вы узнаете, когда проводить рефакторинг, как использовать паттерны, а также научитесь определять признаки, которые говорят о том, что код необходимо удалить. Для разработчиков всех уровней. В примерах используется доступный и понятный синтаксис TypeScript, который позволяет перейти к любому языку высокого уровня. | |
Разместил: Ingvar16 11-11-2022, 19:27 | Комментарии: 0 | Подробнее
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 Название: Natural Language Processing in Action, 2nd Edition (MEAP v.6)
Автор: Hobson Lane
Издательство: Manning Publications
Год: 2022
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 27.4 MB
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you’ll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. | |
Разместил: Ingvar16 11-11-2022, 12:35 | Комментарии: 0 | Подробнее
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 Название: D3.js in Action, Third Edition (MEAP v.6)
Автор: Elijah Meeks, Anne-Marie Dufour
Издательство: Manning Publications
Год: 2022
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB
Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. Learning D3 requires at least a minimal amount of literacy in front-end development. To get the most out of this book, you'll want to have previously learned the basics of front-end development. Being familiar with HTML elements, CSS selectors, and the main CSS properties will support your journey. You'll also need at least a beginner level of comprehension with jаvascript and its ES6 syntax. Knowing how to declare and manipulate strings, numbers, arrays, and objects will save you from many headaches, as well as understanding how to call and pass arguments to jаvascript functions. | |
Разместил: Ingvar16 11-11-2022, 12:28 | Комментарии: 0 | Подробнее
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 Название: Evolutionary Intelligence for Healthcare Applications
Автор: T. Ananth Kumar, R. Rajmohan, M. Pavithra
Издательство: CRC Press
Год: 2023
Страниц: 136
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. In the recent two decades, the acceptance of metaheuristics, particularly swarm intelligence and evolutionary algorithms (EAs), has exploded. Researchers offer a plethora of algorithms and approaches every year, and they discover a growing number of innovative applications. When we consider our daily lives, it becomes apparent that intelligent systems play a greater part in our work or practical actions, and numerous changes have been noted over the past several years in terms of intelligent approaches, methods, and techniques. Currently, the discipline of metaheuristics is having considerable influence on the spectrum of healthcare, particularly in illness diagnosis and medicine discovery. Genetic intelligence has evolved as a new-generation technique belonging to the evolutionary computing category. | |
Разместил: Ingvar16 11-11-2022, 03:07 | Комментарии: 0 | Подробнее
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