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Data · dataset · 2025

Fractal-based complexity measures for predicting generalization in deep neural networks

Listed in REDU - Unicamp Institutional Research Data Repository

Collection of materials for the thesis on generalization in deep neural networks.

Description

The tables folder contains CSV files with final tables (granular measures) and Kendall τ correlations by architecture settings. The code folder provides Jupyter notebooks for reading and saving CIFAR-10, used to train and save the models and evaluate the studied complexity measures.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Mathematical Sciences · Other
Inferred from text
Large and complex data theory 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/EGL28M10 d agoJSON v1
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