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nexusstc/神经网络与深度学习讲义（复旦 邱锡鹏）/45897ea917f8c14dbcc7107e083f76be.pdf
神经网络与深度学习讲义(复旦 邱锡鹏) 🔍
it-ebooks iBooker it-ebooks, it-ebooks-2017, 2017
英语 [en] · 中文 [zh] · PDF · 0.7MB · 2017 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.
备用文件名
lgrsnf/神经网络与深度学习讲义（复旦 邱锡鹏）.pdf
备用文件名
zlib/Computers/Computer Science/it-ebooks/神经网络与深度学习讲义（复旦 邱锡鹏）_11919192.pdf
备选标题
Pattern Classification (Pt.1)
备选作者
Duda, Richard O., Hart, Peter E., Stork, David G.
备选作者
Richard O. Duda; Peter E. Hart; David G. Stork
备选作者
David G. Stork; Richard O. Duda; Peter E. Hart
备用出版商
Jossey-Bass, Incorporated Publishers
备用出版商
John Wiley & Sons, Incorporated
备用出版商
WILEY COMPUTING Publisher
备用出版商
Wiley-Interscience
备用版本
John Wiley & Sons, Inc., New York, 2001
备用版本
2nd ed., New York, New York State, 2001
备用版本
United States, United States of America
备用版本
Second edition, New York, N.Y, ©2001
备用版本
2, PS, 2000
元数据中的注释
lg2974956
元数据中的注释
{"isbns":["0471056693","9780471056690"],"publisher":"iBooker it-ebooks","series":"it-ebooks-2017"}
元数据中的注释
Includes bibliographical references and index.
"A Wiley-Interscience Publication."
备用描述
"Practitioners developing or investigating pattern recognition systems in such diverse application areas as speech recognition, optical character recognition, image processing, or signal analysis, often face the difficult task of having to decide among a bewildering array of available techniques.
This unique text/professional reference provides the information you need to choose the most appropriate method for a given class of problems, presenting an in-depth, systematic account of the major topics in pattern recognition today. A new edition of a classic work that helped define the field for over a quarter century, this practical book updates and expands the original work, focusing on pattern classification and the immense progress it has experienced in recent years."--BOOK JACKET.
备用描述
This edition has been completely revised, enlarged and formatted in two colours. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples
开源日期
2021-03-29
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