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Derin Öğrenme Modelleri ve Uygulama Alanlarına İlişkin Bir Derleme

Year 2019, Volume: 10 Issue: 2, 409 - 445, 20.06.2019
https://doi.org/10.24012/dumf.411130

Abstract

Derin öğrenme makine öğreniminin bir koludur. Makine öğreniminin başlarından günümüze kadar geçen süreçte yapay zekaya olan ilgi giderek artmış ve günümüzde en çok kullanılan yapay zeka algoritmaları olan derin öğrenme mimarilerinin ortaya çıkmasını sağlamıştır. Derin öğrenme mimarileri ile birlikte yapay zeka problemlerinin çözümü için pek çok derin öğrenme yaklaşımları geliştirilmiştir. Endüstri, tıp, robotik, görüntü işleme, bilgisayar görmesi, nesne tespiti, ses işleme-tanıma, çeviri, gelecek tahmini, finansal gibi pek çok alanda akıllı çözümler üretmektedir. Bu çalışmada, derin öğrenme mimarileri ve algoritmaları incelenerek, literatürde yapılmış çalışmalar ışığında uygulama alanları temelinde başarımları değerlendirilmiştir. Derin öğrenme mimarileri ile birlikte derin öğrenmede kullanılan kütüphanelere yer verilmiştir. Bununla beraber farklı problemlerin çözümlerine yönelik geliştirilen derin öğrenme mimarileri yer almaktadır.

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Year 2019, Volume: 10 Issue: 2, 409 - 445, 20.06.2019
https://doi.org/10.24012/dumf.411130

Abstract

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Details

Primary Language Turkish
Journal Section Articles
Authors

Ferdi Doğan 0000-0002-9203-697X

İbrahim Türkoğlu 0000-0003-4938-4167

Publication Date June 20, 2019
Submission Date March 30, 2018
Published in Issue Year 2019 Volume: 10 Issue: 2

Cite

IEEE F. Doğan and İ. Türkoğlu, “Derin Öğrenme Modelleri ve Uygulama Alanlarına İlişkin Bir Derleme”, DUJE, vol. 10, no. 2, pp. 409–445, 2019, doi: 10.24012/dumf.411130.

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