{"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":"PyTorch'ta RandAugment: Derinlemesine Bir Bak\u0131\u015f","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Ua8Arbnyzh\"><a href=\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\">PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/embed\/#?secret=Ua8Arbnyzh\" width=\"600\" height=\"338\" title=\"&#8220;PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f&#8221; &#8212; Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" data-secret=\"Ua8Arbnyzh\" 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":"G\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rma gibi derin \u00f6\u011frenme g\u00f6revlerinde, veri art\u0131rma (data augmentation) teknikleri model performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir. Bu tekniklerden biri de RandAugment olup, rastgele se\u00e7ilen d\u00f6n\u00fc\u015f\u00fcmlerle veri setini geni\u015fleterek, modelin daha genelleyici olmas\u0131n\u0131 sa\u011flar. Bu makalede, PyTorch'ta RandAugment'\u0131 nas\u0131l uygulayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z."}