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Interpretability in Deep Learning Ayush Somani 2023 edition
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Interpretability in Deep Learning
Ayush Somani
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.
466 pages, 172 Illustrations, color; 4 Illustrations, black and white; XX, 466 p. 176 illus., 172 il
| Medien | Bücher Taschenbuch (Buch mit Softcover und geklebtem Rücken) |
| Erscheinungsdatum | 2. Mai 2024 |
| ISBN13 | 9783031206412 |
| Verlag | Springer International Publishing AG |
| Seitenanzahl | 466 |
| Maße | 150 × 220 × 10 mm · 821 g |
| Sprache | Deutsch |
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