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Interpretability in Deep Learning Ayush Somani 2023 edition
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 2. maijs |
| ISBN13 | 9783031206412 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 466 |
| Izmēri | 150 × 220 × 10 mm · 821 g |
| Valoda | Vācu |