The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural NetworksКНИГИ » СЕТЕВЫЕ ТЕХНОЛОГИИ
Название: The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks Автор: Daniel A. Roberts, Sho Yaida Издательство: Cambridge University Press Год: 2022 Формат: PDF Страниц: 473 Размер: 10.5 MB Язык: English
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
С этой публикацией часто скачивают:
Deep Learning and Practice with MindSpore Название: Deep Learning and Practice with MindSpore Автор: Lei Chen Издательство: Springer Год: 2021 Формат: PDF Страниц: 403 Размер: 14,1 Mb Язык:...
Principles and Labs for Deep Learning Название: Principles and Labs for Deep Learning Автор: Shih-Chia Huang, Trung-Hieu Le Издательство: Academic Press, Elsevier Год: 2021 Страниц: 353...
Neural Networks and Deep Learning: A Textbook Название: Neural Networks and Deep Learning: A Textbook Автор: Charu C. Aggarwal Издательство: Springer Год: 2018 Страниц: 497 Формат: PDF, EPUB...
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.
Навигация
Вход на сайт
Реклама
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks 
