{"id":13948,"date":"2023-02-27T06:25:00","date_gmt":"2023-02-27T00:55:00","guid":{"rendered":"https:\/\/www.datalabelify.com\/en\/?p=13948"},"modified":"2023-10-28T22:42:22","modified_gmt":"2023-10-28T17:12:22","slug":"zero-shot-learning","status":"publish","type":"post","link":"https:\/\/www.datalabelify.com\/ar\/\u0627\u0644\u062a\u0639\u0644\u0645-\u0628\u062f\u0648\u0646-\u0625\u0637\u0644\u0627\u0642-\u0627\u0644\u0646\u0627\u0631\/","title":{"rendered":"\u0627\u0644\u062a\u0639\u0644\u0645 \u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0644\u0642\u0637\u0627\u062a: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u063a\u0645\u0648\u0636 \u0639\u0646 \u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0635\u0648\u0631 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0623\u0645\u062b\u0644\u0629 \u0645\u0646 \u0627\u0644\u0639\u0627\u0644\u0645 \u0627\u0644\u062d\u0642\u064a\u0642\u064a"},"content":{"rendered":"<p>\u064a\u0639\u062f 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\u0625\u0637\u0627\u0631\u064b\u0627 \u0642\u064a\u0645\u064b\u0627 \u0641\u064a \u0645\u062c\u0627\u0644 \u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0635\u0648\u0631.<\/p>","protected":false},"excerpt":{"rendered":"<p>Zero-shot learning is an innovative machine learning paradigm that addresses the limitations of traditional classification methods. By leveraging pre-trained deep learning models and transfer learning techniques, it enables image classification on unseen classes using learned knowledge from seen classes. However, this approach poses challenges such as scarcity of labeled instances and the semantic gap between [&hellip;]<\/p>","protected":false},"author":4,"featured_media":14291,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-13948","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/02\/Zero-Shot-Learning-120x120.jpg",120,120,true]},"post_excerpt_stackable":"<p>Zero-shot learning is an innovative machine learning paradigm that addresses the limitations of traditional classification methods. By leveraging pre-trained deep learning models and transfer learning techniques, it enables image classification on unseen classes using learned knowledge from seen classes. However, this approach poses challenges such as scarcity of labeled instances and the semantic gap between visual features and semantic descriptions. In this article, we explore the concept of zero-shot learning in image classification and provide examples of its applications in various domains, showcasing its potential for liberating and empowering users. Key Takeaways Zero-Shot Learning is a Machine Learning paradigm that&hellip;<\/p>\n","category_list":"<a href=\"https:\/\/www.datalabelify.com\/ar\/category\/artificial-intelligence\/\" rel=\"category tag\">Artificial intelligence<\/a>","author_info":{"name":"Drew Banks","url":"https:\/\/www.datalabelify.com\/ar\/author\/drewbanks\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/posts\/13948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/comments?post=13948"}],"version-history":[{"count":1,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/posts\/13948\/revisions"}],"predecessor-version":[{"id":14121,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/posts\/13948\/revisions\/14121"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/media\/14291"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/media?parent=13948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/categories?post=13948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/ar\/wp-json\/wp\/v2\/tags?post=13948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}