Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science - Tayyaba Azim - Bøker - Springer International Publishing AG - 9783319985237 - 5. september 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 Bøker     Pocketbok   (Bok med mykt omslag og limt rygg)
Utgitt 5. september 2018
ISBN13 9783319985237
Utgivere Springer International Publishing AG
Antall sider 59
Mål 124 g   (Estimert vekt)
Språk Tysk  

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