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Antiquariat im Hufelandhaus GmbH vormals Lange & Springer /ZVAB
dealer size: 16
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Cham, Springer.] Hardcover xxiii, 282 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. [Berlin, Germany] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Cham, Springer.] Hardcover xxiii, 282 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. [Berlin, B, Germany] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Cham, Springer.] Hardcover xxiii, 282 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. [Berlin, B, Germany] [Publication Year: 2017]
Antiquariat im Hufelandhaus GmbH vormals Lange & Springer /AbebooksDE
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Cham, Springer.] Hardcover xxiii, 282 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. [Berlin, Germany] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying processes. The proposed models are also thoroughly evaluated from different perspectives, using exploratory and quantitative analysis.Topics and features: explains the fundamental concepts behind training linear classifiers and feature learning; discusses the wide range of loss functions for training binary and multi-class classifiers; illustrates how to derive ConvNets from fully connected neural networks, and reviews different techniques for evaluating neural networks; presents a practical library for implementing ConvNets, explaining how to use a Python interface for the library to create and assess neural networks; describes two real-world examples of the detection and classification of traffic signs using deep learning methods; examines a range of varied techniques for visualizing neural networks, using a Python interface; provides self-study exercises at the end of each chapter, in addition to a helpful glossary, with r ...
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying processes. The proposed models are also thoroughly evaluated from different perspectives, using exploratory and quantitative analysis.Topics and features: explains the fundamental concepts behind training linear classifiers and feature learning; discusses the wide range of loss functions for training binary and multi-class classifiers; illustrates how to derive ConvNets from fully connected neural networks, and reviews different techniques for evaluating neural networks; presents a practical library for implementing ConvNets, explaining how to use a Python interface for the library to create and assess neural networks; describes two real-world examples of the detection and classification of traffic signs using deep learning methods; examines a range of varied techniques for visualizing neural networks, using a Python interface; provides self-study exercises at the end of each chapter, in addition to a helpful glossary, with r ...
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within [Amherst, NY, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. [Tucson, AZ, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within [Amherst, NY, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear. [Hawthorne, CA, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. [Hawthorne, CA, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). [Tucson, AZ, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. [Tucson, AZ, U.S.A.] [Publication Year: 2017]
ISBN10: 331957549X, ISBN13: 9783319575490, [publisher: Springer] Hardcover New! This book is in the same immaculate condition as when it was published [Tucson, AZ, U.S.A.] [Publication Year: 2017]
Springer 2017 2017 ed. Hardcover New 282 pages. 9.25x6.10x0.79 inches.
DISCLOSURE:
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
