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Titlebook: Deep Learning; Foundations and Conc Christopher M. Bishop,Hugh Bishop Textbook 2024 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 18:52:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Deep Learning
副標(biāo)題Foundations and Conc
編輯Christopher M. Bishop,Hugh Bishop
視頻videohttp://file.papertrans.cn/265/264563/264563.mp4
概述Foundational and conceptual approach emphasizes real-world practical value of techniques for a wide range of learners.Companion volume to the author‘s standard reference text Pattern Recognition and M
圖書封面Titlebook: Deep Learning; Foundations and Conc Christopher M. Bishop,Hugh Bishop Textbook 2024 The Editor(s) (if applicable) and The Author(s), under
描述.This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time..The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study..A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value
出版日期Textbook 2024
關(guān)鍵詞machine learning; Deep learning; Neural networks; Decision theory; Directed graphical models; Convolution
版次1
doihttps://doi.org/10.1007/978-3-031-45468-4
isbn_ebook978-3-031-45468-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Deep Learning影響因子(影響力)




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發(fā)表于 2025-3-21 21:40:02 | 只看該作者
Textbook 2024r in self-study..A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value
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發(fā)表于 2025-3-22 02:56:24 | 只看該作者
Textbook 2024 and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this
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發(fā)表于 2025-3-22 08:02:39 | 只看該作者
e author‘s standard reference text Pattern Recognition and M.This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemp
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The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 19:33:18 | 只看該作者
Christopher M. Bishop,Hugh BishopFoundational and conceptual approach emphasizes real-world practical value of techniques for a wide range of learners.Companion volume to the author‘s standard reference text Pattern Recognition and M
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