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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, 25 Tables, color; 172 Illustrations, color; 4 Illustrations, black and white; XX, 466 p.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 1, 2023 |
| ISBN13 | 9783031206382 |
| Publishers | Springer International Publishing AG |
| Pages | 466 |
| Dimensions | 242 × 161 × 34 mm · 948 g |
| Language | German |