{"id":168,"date":"2025-03-11T05:44:35","date_gmt":"2025-03-11T02:44:35","guid":{"rendered":"https:\/\/bilimaktuel.com\/?p=168"},"modified":"2025-03-11T05:44:35","modified_gmt":"2025-03-11T02:44:35","slug":"yapay-zeka-nedir-ve-derin-ogrenme-nasil-calisir","status":"publish","type":"post","link":"https:\/\/bilimaktuel.com\/index.php\/2025\/03\/11\/yapay-zeka-nedir-ve-derin-ogrenme-nasil-calisir\/","title":{"rendered":"Yapay Zek\u00e2 Nedir ve Derin \u00d6\u011frenme Nas\u0131l \u00c7al\u0131\u015f\u0131r?"},"content":{"rendered":"\n<p>Yapay zek\u00e2 (AI), insan zek\u00e2s\u0131n\u0131 taklit edebilen sistemler veya makineler geli\u015ftirme bilimidir. Bilgisayarlar\u0131n \u00f6\u011frenme, problem \u00e7\u00f6zme, karar verme ve hatta yarat\u0131c\u0131 d\u00fc\u015f\u00fcnme gibi insanlara \u00f6zg\u00fc yetenekleri sergilemesini ama\u00e7lar. G\u00fcn\u00fcm\u00fczde yapay zek\u00e2, sa\u011fl\u0131k hizmetlerinden otonom ara\u00e7lara, sanal asistanlardan finansal tahminlere kadar bir\u00e7ok alanda devrim yarat\u0131yor. Peki, bu teknolojinin temel ta\u015flar\u0131ndan biri olan derin \u00f6\u011frenme nedir ve nas\u0131l \u00e7al\u0131\u015f\u0131r? Gelin, bu konuyu ad\u0131m ad\u0131m inceleyelim.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Yapay Zek\u00e2n\u0131n Temelleri<\/h4>\n\n\n\n<p>Yapay zek\u00e2, geni\u015f bir kavramd\u0131r ve birka\u00e7 temel alt dala ayr\u0131l\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dar Yapay Zek\u00e2 (Narrow AI):<\/strong> Belirli bir g\u00f6revde uzmanla\u015fm\u0131\u015f sistemlerdir. \u00d6rne\u011fin, sesli asistanlar (Siri, Alexa), g\u00f6r\u00fcnt\u00fc tan\u0131ma sistemleri veya spam filtreleri dar AI \u00f6rnekleridir.<\/li>\n\n\n\n<li><strong>Genel Yapay Zek\u00e2 (General AI):<\/strong> \u0130nsan d\u00fczeyinde geni\u015f bir yelpazede g\u00f6revleri yerine getirebilen, hen\u00fcz tam anlam\u0131yla geli\u015ftirilmemi\u015f bir AI t\u00fcr\u00fcd\u00fcr.<\/li>\n\n\n\n<li><strong>S\u00fcper Yapay Zek\u00e2 (Super AI):<\/strong> \u0130nsan zek\u00e2s\u0131n\u0131 a\u015fan teorik bir kavramd\u0131r ve bilim kurgu d\u00fcnyas\u0131nda s\u0131k\u00e7a i\u015flenir.<\/li>\n<\/ul>\n\n\n\n<p>Yapay zek\u00e2n\u0131n i\u015fleyi\u015fi, genellikle makine \u00f6\u011frenimi (machine learning) ve onun bir alt dal\u0131 olan derin \u00f6\u011frenme (deep learning) gibi tekniklere dayan\u0131r. Makine \u00f6\u011frenimi, verilerden patterns (\u00f6r\u00fcnt\u00fcler) \u00e7\u0131kararak sistemlerin kendi kendine \u00f6\u011frenmesini sa\u011flar. Derin \u00f6\u011frenme ise bu s\u00fcreci daha karma\u015f\u0131k ve insan beynine benzer bir \u015fekilde ger\u00e7ekle\u015ftirir.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Derin \u00d6\u011frenme Nedir?<\/h4>\n\n\n\n<p>Derin \u00f6\u011frenme, yapay sinir a\u011flar\u0131 (artificial neural networks) ad\u0131 verilen matematiksel modelleri kullanarak b\u00fcy\u00fck veri setlerinden anlam \u00e7\u0131karmay\u0131 sa\u011flayan bir makine \u00f6\u011frenimi y\u00f6ntemidir. \u0130nsan beynindeki n\u00f6ronlardan ilham al\u0131narak tasarlanan bu sistemler, katmanlar halinde \u00e7al\u0131\u015f\u0131r ve her katman veriyi daha derinlemesine analiz eder. Derin \u00f6\u011frenme, \u00f6zellikle b\u00fcy\u00fck veri (big data) ve g\u00fc\u00e7l\u00fc i\u015flemci birimleri (GPU\u2019lar) sayesinde son y\u0131llarda b\u00fcy\u00fck bir s\u0131\u00e7rama yapm\u0131\u015ft\u0131r.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Yapay Sinir A\u011flar\u0131n\u0131n Yap\u0131s\u0131<\/h5>\n\n\n\n<p>Derin \u00f6\u011frenmenin temel yap\u0131 ta\u015f\u0131, yapay sinir a\u011flar\u0131d\u0131r. Bu a\u011flar \u00fc\u00e7 ana b\u00f6l\u00fcmden olu\u015fur:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Giri\u015f Katman\u0131 (Input Layer):<\/strong> Verilerin (\u00f6rne\u011fin bir foto\u011fraf\u0131n pikselleri veya bir metnin kelimeleri) sisteme ilk sunuldu\u011fu katmand\u0131r.<\/li>\n\n\n\n<li><strong>Gizli Katmanlar (Hidden Layers):<\/strong> Verilerin i\u015flendi\u011fi, d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fc\u011f\u00fc ve \u00f6r\u00fcnt\u00fclerin \u00e7\u0131kar\u0131ld\u0131\u011f\u0131 katmanlard\u0131r. &#8220;Derin&#8221; kelimesi, bu gizli katmanlar\u0131n say\u0131s\u0131n\u0131n fazla olmas\u0131ndan gelir. Daha fazla katman, daha karma\u015f\u0131k problemlerin \u00e7\u00f6z\u00fclmesini sa\u011flar.<\/li>\n\n\n\n<li><strong>\u00c7\u0131k\u0131\u015f Katman\u0131 (Output Layer):<\/strong> Sistemin nihai tahminini veya sonucunu \u00fcretti\u011fi katmand\u0131r. \u00d6rne\u011fin, bir kedi foto\u011fraf\u0131 verildi\u011finde &#8220;kedi&#8221; ya da &#8220;k\u00f6pek&#8221; gibi bir \u00e7\u0131kt\u0131 verebilir.<\/li>\n<\/ol>\n\n\n\n<p>Her katmandaki yapay n\u00f6ronlar, \u00f6nceki katmandan gelen verilere a\u011f\u0131rl\u0131klar (weights) ve \u00f6nyarg\u0131lar (biases) ekleyerek bir hesaplama yapar. Bu hesaplama, aktivasyon fonksiyonlar\u0131 (\u00f6rne\u011fin ReLU, Sigmoid) ile filtrelenir ve sonraki katmana aktar\u0131l\u0131r.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Derin \u00d6\u011frenme Nas\u0131l \u00d6\u011frenir?<\/h5>\n\n\n\n<p>Derin \u00f6\u011frenme, &#8220;e\u011fitim&#8221; ad\u0131 verilen bir s\u00fcre\u00e7le \u00f6\u011frenir. Bu s\u00fcre\u00e7te:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Veri Seti:<\/strong> B\u00fcy\u00fck miktarda etiketlenmi\u015f veri (\u00f6rne\u011fin, &#8220;kedi&#8221; veya &#8220;k\u00f6pek&#8221; etiketli binlerce foto\u011fraf) kullan\u0131l\u0131r.<\/li>\n\n\n\n<li><strong>Hata Minimasyonu:<\/strong> Model, yapt\u0131\u011f\u0131 tahminlerle ger\u00e7ek sonu\u00e7lar aras\u0131ndaki fark\u0131 (hata fonksiyonu veya loss function) hesaplar.<\/li>\n\n\n\n<li><strong>Geri Yay\u0131l\u0131m (Backpropagation):<\/strong> Hatalar\u0131 azaltmak i\u00e7in a\u011f\u0131rl\u0131klar ve \u00f6nyarg\u0131lar s\u00fcrekli olarak g\u00fcncellenir. Bu, gradyan ini\u015fi (gradient descent) ad\u0131 verilen bir optimizasyon algoritmas\u0131yla yap\u0131l\u0131r.<\/li>\n\n\n\n<li><strong>Tekrarlama:<\/strong> Model, veri setini defalarca tarayarak kendini geli\u015ftirir ve zamanla daha do\u011fru tahminler yapar.<\/li>\n<\/ul>\n\n\n\n<p>Bu s\u00fcre\u00e7, insan beyninin \u00f6\u011frenme bi\u00e7imine benzer: deneyim artt\u0131k\u00e7a sistem daha iyi hale gelir.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Derin \u00d6\u011frenmenin Kullan\u0131m Alanlar\u0131<\/h4>\n\n\n\n<p>Derin \u00f6\u011frenme, modern teknolojinin bir\u00e7ok alan\u0131nda kritik bir rol oynar:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>G\u00f6r\u00fcnt\u00fc ve Video Analizi:<\/strong> Y\u00fcz tan\u0131ma, t\u0131bbi g\u00f6r\u00fcnt\u00fcleme (\u00f6rne\u011fin kanser tespiti), otonom ara\u00e7lar\u0131n \u00e7evreyi alg\u0131lamas\u0131.<\/li>\n\n\n\n<li><strong>Do\u011fal Dil \u0130\u015fleme (NLP):<\/strong> Chatbotlar, dil \u00e7eviri sistemleri (Google Translate), metin \u00f6zetleme.<\/li>\n\n\n\n<li><strong>Ses Tan\u0131ma:<\/strong> Siri, Alexa gibi sesli asistanlar veya konu\u015fmay\u0131 metne d\u00f6n\u00fc\u015ft\u00fcrme.<\/li>\n\n\n\n<li><strong>Oyun ve Sim\u00fclasyon:<\/strong> AlphaGo gibi yapay zek\u00e2 sistemleri, karma\u015f\u0131k stratejiler geli\u015ftirmek i\u00e7in derin \u00f6\u011frenmeyi kullan\u0131r.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Derin \u00d6\u011frenmenin Avantajlar\u0131 ve Zorluklar\u0131<\/h4>\n\n\n\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Karma\u015f\u0131k problemleri \u00e7\u00f6zme yetene\u011fi (\u00f6rne\u011fin, el yaz\u0131s\u0131 tan\u0131ma).<\/li>\n\n\n\n<li>\u0130nsan m\u00fcdahalesine gerek kalmadan \u00f6zellik \u00e7\u0131kar\u0131m\u0131 (feature extraction).<\/li>\n\n\n\n<li>B\u00fcy\u00fck veri ile daha iyi performans.<\/li>\n<\/ul>\n\n\n\n<p><strong>Zorluklar\u0131:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u00c7ok b\u00fcy\u00fck miktarda veri gerektirir.<\/li>\n\n\n\n<li>Y\u00fcksek i\u015flem g\u00fcc\u00fc ve zaman ihtiyac\u0131.<\/li>\n\n\n\n<li>&#8220;Kara kutu&#8221; sorunu: Modelin nas\u0131l karar verdi\u011fini anlamak zor olabilir.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Sonu\u00e7<\/h4>\n\n\n\n<p>Yapay zek\u00e2, insan hayat\u0131n\u0131 kolayla\u015ft\u0131ran ve gelece\u011fi \u015fekillendiren bir teknolojidir. Derin \u00f6\u011frenme ise bu alan\u0131n en heyecan verici ve g\u00fc\u00e7l\u00fc dallar\u0131ndan biridir. \u0130nsan beyninden esinlenen yap\u0131s\u0131yla, karma\u015f\u0131k verilerden anlam \u00e7\u0131kararak makinelerin &#8220;d\u00fc\u015f\u00fcnmesini&#8221; sa\u011flar. Teknolojinin bu h\u0131zla ilerlemesiyle, derin \u00f6\u011frenme \u00f6n\u00fcm\u00fczdeki y\u0131llarda daha da yenilik\u00e7i uygulamalara kap\u0131 a\u00e7acak gibi g\u00f6r\u00fcn\u00fcyor.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Yapay zek\u00e2 (AI), insan zek\u00e2s\u0131n\u0131 taklit edebilen sistemler veya makineler geli\u015ftirme bilimidir. Bilgisayarlar\u0131n \u00f6\u011frenme, problem \u00e7\u00f6zme, karar verme ve hatta yarat\u0131c\u0131 d\u00fc\u015f\u00fcnme gibi insanlara \u00f6zg\u00fc yetenekleri sergilemesini ama\u00e7lar. G\u00fcn\u00fcm\u00fczde yapay zek\u00e2, sa\u011fl\u0131k hizmetlerinden otonom ara\u00e7lara, sanal asistanlardan finansal tahminlere kadar bir\u00e7ok alanda devrim yarat\u0131yor. Peki, bu teknolojinin temel ta\u015flar\u0131ndan biri olan derin \u00f6\u011frenme nedir ve [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":169,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[55,58,56,57,59,54],"class_list":["post-168","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yapay-zeka-robotik","tag-dar-yapay-zeka","tag-derin-ogrenme","tag-genel-yapay-zeka","tag-super-yapay-zeka","tag-yapay-sinir-aglari","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/posts\/168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/comments?post=168"}],"version-history":[{"count":1,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/posts\/168\/revisions"}],"predecessor-version":[{"id":170,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/posts\/168\/revisions\/170"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/media\/169"}],"wp:attachment":[{"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/media?parent=168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/categories?post=168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bilimaktuel.com\/index.php\/wp-json\/wp\/v2\/tags?post=168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}