The effects of topological features on convolutional neural networks—an explanatory analysis via Grad-CAM

The effects of topological features on convolutional neural networks—an explanatory analysis via Grad-CAM

Topological data analysis (TDA) characterizes the global structure of data based on topological invariants such as persistent homology, whereas convolutional neural networks (CNNs) are capable of characterizing local features in the global structure of the data. In contrast, a combined model of TDA...

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Bibliographic Details
Main Authors: Dongjin Lee, Seong-Heon Lee, Jae-Hun Jung
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
convolutional neural network
topological data analysis
Grad-CAM analysis
CNN-TDA Net
transient vs bogus classification
pigmented skin classification
Online Access:https://doi.org/10.1088/2632-2153/ace6f3

Internet

https://doi.org/10.1088/2632-2153/ace6f3

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