{"version":"1.0","provider_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","provider_url":"https:\/\/fatihsoysal.com\/blog","author_name":"Fatih Soysal","author_url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/","title":"GEN-AI 5: WGAN ve WGAN-GP Derinlemesine","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"5EBoJskEcs\"><a href=\"https:\/\/fatihsoysal.com\/blog\/gen-ai-5-wgan-ve-wgan-gp-derinlemesine\/\">GEN-AI 5: WGAN ve WGAN-GP Derinlemesine<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/fatihsoysal.com\/blog\/gen-ai-5-wgan-ve-wgan-gp-derinlemesine\/embed\/#?secret=5EBoJskEcs\" width=\"600\" height=\"338\" title=\"&#8220;GEN-AI 5: WGAN ve WGAN-GP Derinlemesine&#8221; &#8212; Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" data-secret=\"5EBoJskEcs\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","description":"Yapay zek\u00e2n\u0131n h\u0131zla geli\u015fen d\u00fcnyas\u0131nda, \u00fcretken modeller giderek daha \u00f6nemli bir rol oynuyor. Bu yaz\u0131da, \u00fcretken d\u00fc\u015fmanc\u0131l a\u011flar (GAN'lar) ailesinin iki g\u00fc\u00e7l\u00fc \u00fcyesi olan Wasserstein GAN (WGAN) ve WGAN-GP'yi (WGAN-Gradient Penalty) detayl\u0131 olarak inceleyece\u011fiz. GAN'lar\u0131n temel prensiplerini anlad\u0131ktan sonra, bu geli\u015fmi\u015f varyantlar\u0131n nas\u0131l daha kararl\u0131 ve etkili sonu\u00e7lar \u00fcretti\u011fini ke\u015ffedece\u011fiz. Fatih Soysal olarak, bu konuda size kapsaml\u0131 bir rehber sunmay\u0131 hedefliyorum."}