Selected Technical Issues of Deep Neural Networks for Image Classification Purposes - Publikacja - MOST Wiedzy

Wyszukiwarka

Selected Technical Issues of Deep Neural Networks for Image Classification Purposes

Abstrakt

In recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good generalization abilities. Therefore, a number of methods have been proposed by the researchers to deal with these problems. In this paper, we present the results of applying different, recently developed methods to improve deep neural network training and operating. We decided to focus on the most popular CNN structures, namely on VGG based neural networks: VGG16, VGG11 and proposed by us VGG8. The tests were conducted on a real and very important problem of skin cancer detection. A publicly available dataset of skin lesions was used as a benchmark. We analyzed the influence of applying: dropout, batch normalization, model ensembling, and transfer learning. Moreover, the influence of the type of activation function was checked. In order to increase the objectivity of the results, each of the tested models was trained 6 times and their results were averaged. In addition, in order to mitigate the impact of the selection of learning, test and validation sets, k-fold validation was applied.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
Bulletin of the Polish Academy of Sciences-Technical Sciences nr 67, strony 363 - 376,
ISSN: 0239-7528
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Grochowski M., Kwasigroch A., Mikołajczyk A.: Selected Technical Issues of Deep Neural Networks for Image Classification Purposes// Bulletin of the Polish Academy of Sciences-Technical Sciences. -Vol. 67, iss. 2 (2019), s.363-376
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.24425/bpas.2019.128485
Weryfikacja:
Politechnika Gdańska

wyświetlono 2 razy

Publikacje, które mogą cię zainteresować

Meta Tagi