Derin Öğrenme Modelleri ve Uygulama Alanlarına İlişkin Bir Derleme

Ferdi Doğan; İbrahim Türkoğlu

doi:10.24012/dumf.411130

Derin Öğrenme Modelleri ve Uygulama Alanlarına İlişkin Bir Derleme

Öz

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.

Anahtar Kelimeler

Derin öğrenme,Yapay sinir ağları,Derin CNN,Konvolüsyonel sinir ağları

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

Derleme

Yazarlar

Ferdi Doğan ^*
0000-0002-9203-697X
Türkiye

İbrahim Türkoğlu
0000-0003-4938-4167
Türkiye

Yayımlanma Tarihi

20 Haziran 2019

Gönderilme Tarihi

30 Mart 2018

Kabul Tarihi

6 Aralık 2018

Yayımlandığı Sayı

Yıl 2019 Cilt: 10 Sayı: 2

DOI

https://doi.org/10.24012/dumf.411130

IZ

https://izlik.org/JA94FW72HA

Kaynak Göster

RIS / Bibtex

IEEE

[1]F. Doğan ve İ. Türkoğlu, “Derin Öğrenme Modelleri ve Uygulama Alanlarına İlişkin Bir Derleme”, DÜMF MD, c. 10, sy 2, ss. 409–445, Haz. 2019, doi: 10.24012/dumf.411130.