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Explainable AI with Python Leonida Gianfagna 1st ed. 2021 edition
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Explainable AI with Python
Leonida Gianfagna
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
204 pages, 103 Illustrations, color; 16 Illustrations, black and white; VIII, 204 p. 119 illus., 103
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 29 de abril de 2021 |
| ISBN13 | 9783030686390 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 202 |
| Dimensiones | 235 × 155 × 26 mm · 332 g |
| Lengua | Francés |
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