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On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets

datacite.relation.cites https://doi.org/10.1007/s10463-022-00828-4
datacite.relation.references https://www.cs.toronto.edu/~kriz/cifar.html
datacite.relation.references https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf
dc.contributor.author Kohler, Michael
dc.contributor.author Krzyżak, Adam
dc.contributor.author Walter, Benjamin
dc.date.accessioned 2023-05-24T15:07:48Z
dc.date.available 2023-05-24T14:35:56Z
dc.date.available 2023-05-24T15:07:48Z
dc.date.created 2023-05-24
dc.date.issued 2023-05-24
dc.description This repository contains the Python code required to reproduce the simulation part of the paper "On the rate of convergence of image classifiers based on convolutional neural networks" from Kohler, Krzyżak, and Walter (2022) referenced below. The Python version used is Python 3.9.7. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under project number 449102119. The Cifar-10 image dataset consisting of the real images from which the classes "cars" and "ships" were used can be downloaded from the link given below. In the Techincal Report "Learning Multiple Layers of Features from Tiny Images" from Alex Krizhevsky (2009) (for a link see below) this dataset of real images is described in more detail. de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3850.2
dc.language.iso en de_DE
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject.classification 3.31-01
dc.subject.ddc 510
dc.title On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets de_DE
dc.type Software de_DE
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2020-2024;312-01 Mathematik
tuda.unit TUDa

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