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Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science Tayyaba Azim 1st ed. 2018 edition
Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach - SpringerBriefs in Computer Science
Tayyaba Azim
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2018. gada 5. septembris |
| ISBN13 | 9783319985237 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 59 |
| Izmēri | 150 × 220 × 10 mm · 147 g |
| Valoda | Vācu |