9783032082824 - topological data analysis for neural networks (springerbriefs in computer science) von ballester, rubén; casacuberta, carles; escalera, sergio (3 Ergebnisse)
Sprache: Englisch
Verlag: Springer Nature, 2025
Serie: SpringerBriefs in Computer Science, Buch 95 von 60. Buch 95 von 60 - SpringerBriefs in Computer Science
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 120 pages. 9.25x6.10x9.25 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2026
Serie: SpringerBriefs in Computer Science, Buch 95 von 60. Buch 95 von 60 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explor…e the intricate structures and behaviors of fully connected feedforward and convolutional neural networks.The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning.
Sprache: Englisch
Verlag: Springer, 2026
Serie: SpringerBriefs in Computer Science, Buch 95 von 60. Buch 95 von 60 - SpringerBriefs in Computer Science
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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Taschenbuch. Zustand: Neu. Topological Data Analysis for Neural Networks | Rubén Ballester (u. a.) | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9783032082824 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
