{"id":15130,"date":"2025-03-14T08:15:15","date_gmt":"2025-03-14T05:15:15","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/"},"modified":"2025-03-14T08:15:15","modified_gmt":"2025-03-14T05:15:15","slug":"pytorchta-randaugment-derinlemesine-bir-bakis","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/","title":{"rendered":"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f"},"content":{"rendered":"<p><body><\/p>\n<p>PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f<\/p>\n<p>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&#8217;ta RandAugment&#8217;\u0131 nas\u0131l uygulayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z.<\/p>\n<h2>RandAugment Nedir?<\/h2>\n<p>RandAugment,  g\u00f6r\u00fcnt\u00fclere rastgele ve belirli bir \u015fiddette \u00e7e\u015fitli d\u00f6n\u00fc\u015f\u00fcmler uygulayan bir veri art\u0131rma y\u00f6ntemidir.  Bu d\u00f6n\u00fc\u015f\u00fcmler aras\u0131nda k\u0131rpma, d\u00f6nd\u00fcrme, renk bozulmalar\u0131 ve daha bir\u00e7ok i\u015flem yer al\u0131r.  \u00d6nemli olan nokta, d\u00f6n\u00fc\u015f\u00fcmlerin hem \u00e7e\u015fidinin hem de \u015fiddetinin her g\u00f6r\u00fcnt\u00fc i\u00e7in rastgele belirlenmesidir.  Bu sayede, model daha \u00e7e\u015fitli ve zorlu \u00f6rneklerle e\u011fitilir ve a\u015f\u0131r\u0131 uyuma (overfitting) riski azalt\u0131l\u0131r.<\/p>\n<h2>PyTorch ile RandAugment Uygulamas\u0131<\/h2>\n<p>\u015eimdi, PyTorch kullanarak RandAugment&#8217;\u0131 nas\u0131l uygulayabilece\u011fimize bakal\u0131m.  A\u015fa\u011f\u0131daki kod blo\u011fu,  RandAugment&#8217;\u0131 tan\u0131mlayan bir s\u0131n\u0131f ve bu s\u0131n\u0131f\u0131 kullanan bir \u00f6rnek i\u00e7ermektedir:<\/p>\n<pre><code class=\"language-python\">\nimport random\nfrom PIL import Image\nimport torch\nfrom torchvision import transforms\n\nclass RandAugment:\n    def __init__(self, N=2, M=10):\n        self.N = N\n        self.M = M\n        self.transforms = [\n            lambda img, m: transforms.RandomCrop(size=(int(img.size[0]*(1-m\/100)),int(img.size[1]*(1-m\/100))))(img),\n            lambda img, m: transforms.RandomHorizontalFlip(p=m\/100)(img),\n            # ... di\u011fer d\u00f6n\u00fc\u015f\u00fcmler ...\n        ]\n\n    def __call__(self, img):\n        ops = random.choices(self.transforms, k=self.N)\n        for op in ops:\n            mag = random.randint(1, self.M)\n            img = op(img, mag)\n        return img\n\n# \u00d6rnek kullan\u0131m\ntransform = transforms.Compose([\n    RandAugment(),\n    transforms.ToTensor()\n])\n\nimg = Image.open(\"resim.jpg\")\naugmented_img = transform(img)\n<\/code><\/pre>\n<p>Bu kodda, <code>RandAugment<\/code> s\u0131n\u0131f\u0131,  <code>N<\/code> parametresi ile uygulanacak d\u00f6n\u00fc\u015f\u00fcm say\u0131s\u0131n\u0131, <code>M<\/code> parametresi ise d\u00f6n\u00fc\u015f\u00fcm \u015fiddetini kontrol eder.  <code>transforms<\/code> listesi, uygulanabilecek d\u00f6n\u00fc\u015f\u00fcmleri tan\u0131mlar.  Kodun geri kalan\u0131 ise bu s\u0131n\u0131f\u0131 kullanarak bir g\u00f6r\u00fcnt\u00fcy\u00fc art\u0131rmay\u0131 g\u00f6sterir.<\/p>\n<p><strong>Not:<\/strong> Yukar\u0131daki kod sadece temel bir \u00f6rnektir.  Daha kapsaml\u0131 bir uygulama i\u00e7in,  daha fazla d\u00f6n\u00fc\u015f\u00fcm ekleyebilir ve parametreleri ince ayarlayabilirsiniz.  Ayr\u0131ca, farkl\u0131 veri setleri i\u00e7in optimal parametreler deneyerek bulunabilir.  Daha geli\u015fmi\u015f bir uygulama i\u00e7in <a href=\"https:\/\/dev.to\/hyperkai\/randaugment-in-pytorch-4-4mmo\">bu ba\u011flant\u0131y\u0131<\/a> inceleyebilirsiniz.<\/p>\n<h2>RandAugment&#8217;\u0131n Avantajlar\u0131<\/h2>\n<p>RandAugment&#8217;\u0131n en b\u00fcy\u00fck avantajlar\u0131ndan biri,  parametrelerinin otomatik olarak ayarlanmas\u0131na gerek kalmamas\u0131d\u0131r.  Bu,  kullan\u0131m\u0131 olduk\u00e7a kolayla\u015ft\u0131r\u0131r ve farkl\u0131 veri setlerinde kolayca uygulanabilir. Ayr\u0131ca,  rastgele do\u011fas\u0131 sayesinde,  modelin daha sa\u011flam ve genelleyici olmas\u0131na katk\u0131da bulunur.  Bu da,  g\u00f6r\u00fcnmemi\u015f veriler \u00fczerinde daha iyi performans anlam\u0131na gelir.  K\u0131sacas\u0131, RandAugment,  s\u0131n\u0131fland\u0131rma modellerinizin ba\u015far\u0131s\u0131n\u0131 art\u0131rmak i\u00e7in m\u00fckemmel bir ara\u00e7t\u0131r.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Bu makalede, PyTorch&#8217;ta RandAugment veri art\u0131rma tekni\u011fini detayl\u0131 olarak inceledik.  Uygulamas\u0131n\u0131 ad\u0131m ad\u0131m g\u00f6sterdik ve avantajlar\u0131n\u0131 vurgulad\u0131k.  Umar\u0131m bu makale,  derin \u00f6\u011frenme \u00e7al\u0131\u015fmalar\u0131n\u0131zda RandAugment&#8217;\u0131 kullanman\u0131za yard\u0131mc\u0131 olur.  Daha fazla bilgi ve kaynak i\u00e7in  <a href=\"https:\/\/fatihsoysal.com\">ki\u015fisel web sitemi<\/a> ziyaret edebilirsiniz. <\/p>\n<p>#Etiketler: RandAugment, PyTorch, Veri Art\u0131rma, G\u00f6r\u00fcnt\u00fc \u0130\u015fleme, Derin \u00d6\u011frenme, Yapay Zeka, Makine \u00d6\u011frenmesi, Fatih Soysal<br \/>\n<\/body><br \/>\n<\/html><\/p>\n","protected":false},"excerpt":{"rendered":"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f G\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rma gibi derin \u00f6\u011frenme g\u00f6revlerinde, veri art\u0131rma (data augmentation) teknikleri model performans\u0131n\u0131&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-15130","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>PyTorch&#039;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f<\/title>\n<meta name=\"description\" content=\"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&#039;ta RandAugment&#039;\u0131 nas\u0131l uygulayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z.\" \/>\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\/pytorchta-randaugment-derinlemesine-bir-bakis\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PyTorch&#039;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f\" \/>\n<meta property=\"og:description\" content=\"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&#039;ta RandAugment&#039;\u0131 nas\u0131l uygulayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-14T05:15:15+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f\",\"datePublished\":\"2025-03-14T05:15:15+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\"},\"wordCount\":457,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\",\"name\":\"PyTorch'ta RandAugment: Derinlemesine Bir Bak\u0131\u015f\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-03-14T05:15:15+00:00\",\"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.\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim\",\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\",\"name\":\"Fatih Soysal\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"contentUrl\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"width\":512,\"height\":512,\"caption\":\"Fatih Soysal\"},\"logo\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\"},\"description\":\"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"PyTorch'ta RandAugment: Derinlemesine Bir Bak\u0131\u015f","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.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/","og_locale":"tr_TR","og_type":"article","og_title":"PyTorch'ta RandAugment: Derinlemesine Bir Bak\u0131\u015f","og_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.","og_url":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/","og_site_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","article_published_time":"2025-03-14T05:15:15+00:00","author":"Fatih Soysal","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Fatih Soysal","Tahmini okuma s\u00fcresi":"3 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#article","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/"},"author":{"name":"Fatih Soysal","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"headline":"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f","datePublished":"2025-03-14T05:15:15+00:00","mainEntityOfPage":{"@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/"},"wordCount":457,"commentCount":0,"publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"inLanguage":"tr","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#respond"]}],"copyrightYear":"2025","copyrightHolder":{"@id":"https:\/\/fatihsoysal.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/","url":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/","name":"PyTorch'ta RandAugment: Derinlemesine Bir Bak\u0131\u015f","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/#website"},"datePublished":"2025-03-14T05:15:15+00:00","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.","breadcrumb":{"@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/fatihsoysal.com\/blog\/pytorchta-randaugment-derinlemesine-bir-bakis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/fatihsoysal.com\/blog\/"},{"@type":"ListItem","position":2,"name":"PyTorch&#8217;ta RandAugment: Derinlemesine Bir Bak\u0131\u015f"}]},{"@type":"WebSite","@id":"https:\/\/fatihsoysal.com\/blog\/#website","url":"https:\/\/fatihsoysal.com\/blog\/","name":"Fatihsoysal.com","description":"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim","publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":["Person","Organization"],"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1","name":"Fatih Soysal","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","contentUrl":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","width":512,"height":512,"caption":"Fatih Soysal"},"logo":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/"},"description":"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.","url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/"}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/15130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/comments?post=15130"}],"version-history":[{"count":0,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/15130\/revisions"}],"wp:attachment":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/media?parent=15130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/categories?post=15130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/tags?post=15130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}