Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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Institution Author: search.filters.institutionAuthor.Ozuysal, MustafaSubject: search.filters.subject.Deep Neural Networks

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  • Conference Object
    Citation - Scopus: 3
    Derin Öǧrenme ile Zemin Dokusu Sınıflandırma
    (IEEE, 2018) Ozuysal, Mustafa
    In this study, we investigate the use of transfer learning on various deep neural network architectures pretained on the ImageNet data set for ground texture classification purposes. We introduce a new ground texture data set collected from seven different areas. We retrain deep neural network's last layer or when possible the full set of layers on this data set. The results show that it is possible to discriminate the ground textures even when very small images are used.