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Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications 2021 edition
Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications
This book is the first overview on Deep Learning (DL) for biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis.
359 pages, 40 Illustrations, color; 90 Illustrations, black and white; VI, 359 p. 130 illus., 40 ill
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 14 de julio de 2021 |
| ISBN13 | 9783030716752 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 359 |
| Dimensiones | 150 × 220 × 20 mm · 689 g |
| Lengua | Alemán |
| Editor | Elloumi, Mourad |