Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science - Tayyaba Azim - Books - Springer International Publishing AG - 9783319985237 - September 5, 2018
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Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science 1st ed. 2018 edition

Tayyaba Azim

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Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science 1st ed. 2018 edition

This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models.

59 pages, 5 Illustrations, color; 1 Illustrations, black and white; XIII, 59 p. 6 illus., 5 illus. i

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 5, 2018
ISBN13 9783319985237
Publishers Springer International Publishing AG
Pages 59
Dimensions 124 g   (Weight (estimated))
Language German  

See all of Tayyaba Azim ( e.g. Paperback Book )