Composing Fisher Kernels from Deep Neural Models: A Practitioners Approach

Composing Fisher Kernels from Deep Neural Models: A Practitioners Approach This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. Autor: Tayyaba Azim, Sarah Ahmed Wydawnictwo: Springer Rok wydania: 2018 Okładka: miękka Liczba stron: 59 Wymiary: 23.5 x 15.5 cm Ilustracje: 5 Illustrations, color; 1 Illustrations, black and white Język: angielski ISBN: 9783319985237