Topological Data Analysis for Neural Networks

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English | 2026 | ISBN: 303208282X | 110 Pages | PDF EPUB (True) | 10 MB
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.