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Topological Data Analysis for Neural Networks

Topological Data Analysis for Neural Networks

Paperback

Series: Springerbriefs in Computer Science

DatabasesGeneral ComputersProbability & Statistics

PREORDER - Expected ship date January 8, 2026

ISBN10: 303208282X
ISBN13: 9783032082824
Publisher: Springer
Published: Jan 8 2026
Pages: 103
Language: English
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 explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks.

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