{"id":18757,"date":"2025-04-21T05:45:13","date_gmt":"2025-04-21T02:45:13","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/derin-ogrenme-kapsamli-bir-bakis\/"},"modified":"2025-04-21T05:45:13","modified_gmt":"2025-04-21T02:45:13","slug":"derin-ogrenme-kapsamli-bir-bakis","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/derin-ogrenme-kapsamli-bir-bakis\/","title":{"rendered":"Derin \u00d6\u011frenme: Kapsaml\u0131 Bir Bak\u0131\u015f"},"content":{"rendered":"<p><body><\/p>\n<p>Derin \u00d6\u011frenme: Kapsaml\u0131 Bir Bak\u0131\u015f<\/p>\n<p>Derin \u00f6\u011frenme, makine \u00f6\u011frenmesinin bir alt k\u00fcmesidir ve insan beyninin i\u015fleyi\u015finden esinlenerek geli\u015ftirilmi\u015ftir.  Yapay sinir a\u011flar\u0131 (YSA) kullanarak b\u00fcy\u00fck veri k\u00fcmelerinden karma\u015f\u0131k kal\u0131plar\u0131 \u00f6\u011frenir.  \u00d6zetle, derin \u00f6\u011frenme, bilgisayarlar\u0131n veri i\u00e7erisindeki kal\u0131plar\u0131 otomatik olarak \u00f6\u011frenmesini sa\u011flayan g\u00fc\u00e7l\u00fc bir tekniktir.  Bu sayede,  klasik y\u00f6ntemlerin ba\u015fa \u00e7\u0131kamad\u0131\u011f\u0131 karma\u015f\u0131k sorunlar\u0131 \u00e7\u00f6zmemize olanak tan\u0131r.  \u00d6rne\u011fin, g\u00f6r\u00fcnt\u00fc tan\u0131ma, do\u011fal dil i\u015fleme ve \u00f6ng\u00f6r\u00fcc\u00fc analitik gibi alanlarda olduk\u00e7a ba\u015far\u0131l\u0131 sonu\u00e7lar elde edilmektedir.<\/p>\n<h2>Derin \u00d6\u011frenmenin Temelleri<\/h2>\n<p>Derin \u00f6\u011frenmenin temelini yapay sinir a\u011flar\u0131 olu\u015fturur.  Bu a\u011flar, birbirine ba\u011fl\u0131 \u00e7ok say\u0131da n\u00f6ron katman\u0131ndan olu\u015fur.  Veri, a\u011fa giri\u015f katman\u0131ndan girer ve her katman, verileri i\u015fleyerek bir \u00fcst katmana iletir.  Son katmanda ise, a\u011f\u0131n verdi\u011fi \u00e7\u0131kt\u0131 elde edilir.  Bu s\u00fcre\u00e7te, a\u011f\u0131n parametreleri, yani a\u011f\u0131rl\u0131klar ve \u00f6nyarg\u0131lar, verilerden \u00f6\u011frenerek optimize edilir.  Bu optimizasyon, geri yay\u0131l\u0131m algoritmas\u0131 gibi y\u00f6ntemlerle ger\u00e7ekle\u015ftirilir.  Sonu\u00e7 olarak,  a\u011f daha do\u011fru tahminler yapabilmek i\u00e7in s\u00fcrekli olarak kendini geli\u015ftirir.<\/p>\n<h2>Derin \u00d6\u011frenme T\u00fcrleri<\/h2>\n<p>Bir\u00e7ok farkl\u0131 derin \u00f6\u011frenme t\u00fcr\u00fc mevcuttur.  Bunlardan baz\u0131lar\u0131 \u015funlard\u0131r: <\/p>\n<ul>\n<li><b>Evri\u015fimli Sinir A\u011flar\u0131 (CNN&#8217;ler):<\/b> G\u00f6r\u00fcnt\u00fc ve video i\u015flemede yayg\u0131n olarak kullan\u0131l\u0131rlar.  \u00d6zellik haritalar\u0131 olu\u015fturarak g\u00f6rsellerdeki kal\u0131plar\u0131 alg\u0131larlar.<\/li>\n<li><b>Yinelenen Sinir A\u011flar\u0131 (RNN&#8217;ler):<\/b> Zaman serileri verileri ve do\u011fal dil i\u015flemede kullan\u0131l\u0131rlar.  Bellek \u00f6zelli\u011fi sayesinde \u00f6nceki verileri hat\u0131rlayabilirler.<\/li>\n<li><b>\u00d6zyinelemeli Sinir A\u011flar\u0131 (RNN):<\/b>  \u00d6zyineleme yap\u0131s\u0131yla verilerdeki uzun vadeli ba\u011f\u0131ml\u0131l\u0131klar\u0131 yakalar.<\/li>\n<li><b>Derin \u00d6\u011frenme Otokodlay\u0131c\u0131lar:<\/b> Veri s\u0131k\u0131\u015ft\u0131rma ve g\u00fcr\u00fclt\u00fc azaltma gibi g\u00f6revlerde kullan\u0131l\u0131r.<\/li>\n<\/ul>\n<h2>Derin \u00d6\u011frenmenin Uygulamalar\u0131<\/h2>\n<p>Derin \u00f6\u011frenme, bir\u00e7ok farkl\u0131 alanda ba\u015far\u0131l\u0131 bir \u015fekilde kullan\u0131lmaktad\u0131r.  Bunlardan baz\u0131lar\u0131:<\/p>\n<ul>\n<li><b>G\u00f6r\u00fcnt\u00fc Tan\u0131ma:<\/b> Otomatik ara\u00e7 plakas\u0131 tan\u0131ma, t\u0131bbi g\u00f6r\u00fcnt\u00fc analizi gibi.<\/li>\n<li><b>Do\u011fal Dil \u0130\u015fleme:<\/b>  Makine \u00e7evirisi, duygu analizi, chatbot&#8217;lar gibi.<\/li>\n<li><b>\u00d6ng\u00f6r\u00fcc\u00fc Analitik:<\/b>  Finansal piyasa tahmini, m\u00fc\u015fteri davran\u0131\u015f tahmini gibi.<\/li>\n<li><b>Otonom S\u00fcr\u00fc\u015f:<\/b>  Nesne tespiti, yol planlamas\u0131 gibi.<\/li>\n<li><b>T\u0131p:<\/b> Hastal\u0131k te\u015fhisi, ila\u00e7 ke\u015ffi gibi.<\/li>\n<\/ul>\n<h2>Derin \u00d6\u011frenmenin Avantajlar\u0131 ve Dezavantajlar\u0131<\/h2>\n<p>Derin \u00f6\u011frenme, bir\u00e7ok avantaj sunarken, baz\u0131 dezavantajlar\u0131 da vard\u0131r.  Avantajlar\u0131 aras\u0131nda y\u00fcksek do\u011fruluk oranlar\u0131, otomasyon, karma\u015f\u0131k veri analiz yetene\u011fi yer al\u0131rken, dezavantajlar\u0131 aras\u0131nda b\u00fcy\u00fck veri ihtiyac\u0131, y\u00fcksek hesaplama g\u00fcc\u00fc gereksinimi ve \u015feffafl\u0131k eksikli\u011fi say\u0131labilir.<\/p>\n<h2>Gelecek<\/h2>\n<p>Derin \u00f6\u011frenme alan\u0131ndaki ara\u015ft\u0131rmalar h\u0131zla ilerlemektedir.  Daha h\u0131zl\u0131 ve verimli algoritmalar, daha b\u00fcy\u00fck ve daha \u00e7e\u015fitli veri k\u00fcmeleri,  ve daha g\u00fc\u00e7l\u00fc donan\u0131m, derin \u00f6\u011frenmenin gelecekte daha da geli\u015fmesine ve yayg\u0131nla\u015fmas\u0131na olanak tan\u0131yacakt\u0131r.  <a href=\"https:\/\/fatihsoysal.com\">Kendi web sitemde<\/a>  bu konuda daha fazla bilgi bulabilirsiniz.<\/p>\n<p>Bu makalede,  derin \u00f6\u011frenmenin temel kavramlar\u0131n\u0131, t\u00fcrlerini, uygulamalar\u0131n\u0131 ve gelece\u011fini inceledik.  Umar\u0131m faydal\u0131 olmu\u015ftur.  Daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklara g\u00f6z atabilirsiniz:<\/p>\n<ul>\n<li><a href=\"https:\/\/dev.to\/congngheaivn\/deep-learning-278e\">Dev.to Deep Learning Makalesi (\u0130ngilizce)<\/a><\/li>\n<li><a href=\"#\">Di\u011fer Faydal\u0131 Kaynak 1<\/a><\/li>\n<li><a href=\"#\">Di\u011fer Faydal\u0131 Kaynak 2<\/a><\/li>\n<\/ul>\n<p>#Etiketler: derin \u00f6\u011frenme, deep learning, yapay zeka, makine \u00f6\u011frenmesi, sinir a\u011flar\u0131, yapay sinir a\u011flar\u0131, CNN, RNN, uygulamalar\u0131, avantajlar\u0131, dezavantajlar\u0131, g\u00f6r\u00fcnt\u00fc tan\u0131ma, do\u011fal dil i\u015fleme, \u00f6ng\u00f6r\u00fcc\u00fc analitik<\/p>\n<p><\/body><br \/>\n<\/html><\/p>\n","protected":false},"excerpt":{"rendered":"Derin \u00d6\u011frenme: Kapsaml\u0131 Bir Bak\u0131\u015f Derin \u00f6\u011frenme, makine \u00f6\u011frenmesinin bir alt k\u00fcmesidir ve insan beyninin i\u015fleyi\u015finden esinlenerek geli\u015ftirilmi\u015ftir.&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-18757","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Derin \u00d6\u011frenme: Kapsaml\u0131 Bir Bak\u0131\u015f<\/title>\n<meta name=\"description\" content=\"Derin \u00f6\u011frenme, makine \u00f6\u011frenmesinin bir alt k\u00fcmesidir ve insan beyninin i\u015fleyi\u015finden esinlenerek geli\u015ftirilmi\u015ftir. Yapay sinir a\u011flar\u0131 (YSA) kullanarak b\u00fcy\u00fck veri k\u00fcmelerinden karma\u015f\u0131k kal\u0131plar\u0131 \u00f6\u011frenir. \u00d6zetle, derin \u00f6\u011frenme, bilgisayarlar\u0131n veri i\u00e7erisindeki kal\u0131plar\u0131 otomatik olarak \u00f6\u011frenmesini sa\u011flayan g\u00fc\u00e7l\u00fc bir tekniktir. Bu sayede, klasik y\u00f6ntemlerin ba\u015fa \u00e7\u0131kamad\u0131\u011f\u0131 karma\u015f\u0131k sorunlar\u0131 \u00e7\u00f6zmemize olanak tan\u0131r. \u00d6rne\u011fin, g\u00f6r\u00fcnt\u00fc tan\u0131ma, do\u011fal dil i\u015fleme ve \u00f6ng\u00f6r\u00fcc\u00fc analitik gibi alanlarda olduk\u00e7a ba\u015far\u0131l\u0131 sonu\u00e7lar elde edilmektedir.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/derin-ogrenme-kapsamli-bir-bakis\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Derin \u00d6\u011frenme: Kapsaml\u0131 Bir Bak\u0131\u015f\" \/>\n<meta property=\"og:description\" content=\"Derin \u00f6\u011frenme, makine \u00f6\u011frenmesinin bir alt k\u00fcmesidir ve insan beyninin i\u015fleyi\u015finden esinlenerek geli\u015ftirilmi\u015ftir. Yapay sinir a\u011flar\u0131 (YSA) kullanarak b\u00fcy\u00fck veri k\u00fcmelerinden karma\u015f\u0131k kal\u0131plar\u0131 \u00f6\u011frenir. \u00d6zetle, derin \u00f6\u011frenme, bilgisayarlar\u0131n veri i\u00e7erisindeki kal\u0131plar\u0131 otomatik olarak \u00f6\u011frenmesini sa\u011flayan g\u00fc\u00e7l\u00fc bir tekniktir. 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