Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science - Tayyaba Azim - Bøger - 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

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 5. september 2018
ISBN13 9783319985237
Forlag Springer International Publishing AG
Antal sider 59
Mål 124 g   (Estimeret vægt)
Sprog Tysk  

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