Interpretability in Deep Learning - Ayush Somani - Books - Springer International Publishing AG - 9783031206412 - May 2, 2024
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Interpretability in Deep Learning 2023 edition

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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

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 2, 2024
ISBN13 9783031206412
Publishers Springer International Publishing AG
Pages 466
Dimensions 150 × 220 × 10 mm   ·   821 g
Language German