{"id":10576,"date":"2021-03-23T13:41:59","date_gmt":"2021-03-23T09:11:59","guid":{"rendered":"https:\/\/shahaab-co.com\/mag\/?p=10576"},"modified":"2024-11-29T18:37:07","modified_gmt":"2024-11-29T15:07:07","slug":"pytorch-for-beginners-basics","status":"publish","type":"post","link":"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 PyTorch \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 &#8211; \u0645\u0628\u0627\u0646\u06cc"},"content":{"rendered":"<p style=\"text-align: justify;\">\u062c\u0647\u0627\u0646 \u062f\u0631 \u062d\u0627\u0644 \u067e\u06cc\u0634\u0631\u0641\u062a \u0627\u0633\u062a \u0648 \u0641\u0646\u0627\u0648\u0631\u06cc \u0646\u06cc\u0632 \u062f\u0631 \u062e\u062f\u0645\u062a \u0622\u0646 \u0627\u0633\u062a. \u0647\u0645\u0647 \u0628\u0627\u06cc\u062f \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0633\u0631\u06cc\u0639 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc \u0647\u0645\u0631\u0627\u0647 \u0634\u0648\u0646\u062f. \u06cc\u06a9\u06cc \u0627\u0632 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0627\u0647\u062f \u0633\u0631\u06cc\u0639 \u062a\u0631\u06cc\u0646 \u0648 \u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u062a\u06a9\u0627\u0645\u0644 \u0628\u0648\u062f\u0647 \u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u062f\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u060c \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u062a\u0627 \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u0628\u0647\u062a\u0631\u06cc \u062f\u0633\u062a \u06cc\u0627\u0628\u0646\u062f. \u0627\u0632 \u062c\u0645\u0644\u0647 <a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/understanding-generative-adversarial-networks-gan\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0645\u0648\u0644\u062f \u062a\u062e\u0627\u0635\u0645\u06cc<\/a> (GAN) \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u062c\u062f\u06cc\u062f \u0648 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0631\u062c\u0645\u0647 \u0632\u0628\u0627\u0646 \u0628\u0647 \u0645\u062a\u0646 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u0646\u062f \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631\u062f \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f! \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u06a9\u0647 \u0633\u0631\u0639\u062a \u067e\u06cc\u0634\u0631\u0641\u062a \u0633\u0631\u06cc\u0639\u06cc \u062f\u0627\u0631\u062f \u060c PyTorch \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627 \u0628\u0648\u062c\u0648\u062f \u0622\u0645\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0628\u0627 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0646 \u062a\u0645\u0627\u0645 \u062c\u0648\u0627\u0646\u0628 \u0645\u062b\u0628\u062a \u0634\u0646\u0627\u062e\u062a \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc PyTorch \u060c \u0645\u0627 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u062f\u0631\u0628\u0627\u0631\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 PyTorch \u0622\u0645\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 \u06a9\u0647 \u0633\u0631\u0641\u0635\u0644 \u0647\u0627\u06cc \u0622\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0627\u062f\u0627\u0645\u0647 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f :<\/p>\n\n\n<div class=\"wp-block-rank-math-toc-block\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 counter-hierarchy ez-toc-counter-rtl ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0622\u0646\u0686\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062e\u0648\u0627\u0646\u062f :<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #0044bf;color:#0044bf\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #0044bf;color:#0044bf\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D9%81%D9%87%D8%B1%D8%B3%D8%AA_%D9%85%D8%B7%D8%A7%D9%84%D8%A8\" >\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#PyTorch_%DA%86%DB%8C%D8%B3%D8%AA%D8%9F\" >PyTorch \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%DB%8C%D8%A7%D8%AF%DA%AF%DB%8C%D8%B1%DB%8C_%D8%B9%D9%85%DB%8C%D9%82_%D8%A8%D8%A7_PyTorch_%D8%8C_%DB%8C%DA%A9_%D8%AD%D8%B1%DA%A9%D8%AA_%D8%A8%D8%B1%D9%82_%D8%A2%D8%B3%D8%A7\" >\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 PyTorch \u060c \u06cc\u06a9 \u062d\u0631\u06a9\u062a \u0628\u0631\u0642 \u0622\u0633\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%DA%86%D8%B1%D8%A7_%D8%A8%D8%A7%DB%8C%D8%AF_PyTorch_%D8%B1%D8%A7_%DB%8C%D8%A7%D8%AF_%D8%A8%DA%AF%DB%8C%D8%B1%D9%85%D8%9F\" >\u0686\u0631\u0627 \u0628\u0627\u06cc\u062f PyTorch \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0645\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D9%85%D8%B1%D9%88%D8%B1%DB%8C_%D8%A8%D8%B1_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_PyTorch\" >\u0645\u0631\u0648\u0631\u06cc \u0628\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 PyTorch<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%DB%B1-_%D8%A8%D8%A7%D8%B1%DA%AF%D8%B0%D8%A7%D8%B1%DB%8C_%D9%88_%D9%85%D8%AF%DB%8C%D8%B1%DB%8C%D8%AA_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7\" >\u06f1- \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%DB%B2-_%D8%B3%D8%A7%D8%AE%D8%AA_%D8%B4%D8%A8%DA%A9%D9%87_%D8%B9%D8%B5%D8%A8%DB%8C\" >\u06f2- \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%DB%B3-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D9%88_%D8%B3%D8%A7%D8%B2%DA%AF%D8%A7%D8%B1%DB%8C_%D9%85%D8%AF%D9%84\" >\u06f3- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0648 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D9%85%D8%B9%D8%B1%D9%81%DB%8C_%D8%AA%D9%86%D8%B3%D9%88%D8%B1%D9%87%D8%A7\" >\u0645\u0639\u0631\u0641\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%A7%D9%88%D9%84%DB%8C%D9%86_%D8%AA%D9%86%D8%B3%D9%88%D8%B1_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%A8%D8%B3%D8%A7%D8%B2%DB%8C%D8%AF\" >\u0627\u0648\u0644\u06cc\u0646 \u062a\u0646\u0633\u0648\u0631 \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%AF%D8%B3%D8%AA%D8%B1%D8%B3%DB%8C_%D8%A8%D9%87_%DB%8C%DA%A9_%D8%B9%D9%86%D8%B5%D8%B1_%D8%AF%D8%B1_%D8%AA%D9%86%D8%B3%D9%88%D8%B1\" >\u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062f\u0631 \u062a\u0646\u0633\u0648\u0631<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%AA%D8%B4%DB%8C%D8%AE%D8%B5_%D9%86%D9%88%D8%B9_%D8%AF%D8%A7%D8%AF%D9%87_%D8%A7%D8%B2_%D8%B9%D9%86%D8%A7%D8%B5%D8%B1\" >\u062a\u0634\u06cc\u062e\u0635 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0627\u0632 \u0639\u0646\u0627\u0635\u0631<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%AA%D9%86%D8%B3%D9%88%D8%B1_%D8%A8%D9%87_%D8%A7%D8%B2_%D8%A2%D8%B1%D8%A7%DB%8C%D9%87_NumPy\" >\u062a\u0646\u0633\u0648\u0631 \u0628\u0647 \/ \u0627\u0632 \u0622\u0631\u0627\u06cc\u0647 NumPy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%B9%D9%85%D9%84%DB%8C%D8%A7%D8%AA_%D8%AD%D8%B3%D8%A7%D8%A8%DB%8C_%D8%B1%D9%88%DB%8C_%D8%AA%D9%86%D8%B3%D9%88%D8%B1%D9%87%D8%A7\" >\u0639\u0645\u0644\u06cc\u0627\u062a \u062d\u0633\u0627\u0628\u06cc \u0631\u0648\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-for-beginners-basics\/#%D8%AA%D9%86%D8%B3%D9%88%D8%B1_CPU_%D9%88_GPU\" >\u062a\u0646\u0633\u0648\u0631 CPU \u0648 GPU<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%D9%81%D9%87%D8%B1%D8%B3%D8%AA_%D9%85%D8%B7%D8%A7%D9%84%D8%A8\"><\/span>\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<span class=\"ez-toc-section-end\"><\/span><\/h2><nav><ul><li><a href=\"#h-pytorch\" >PyTorch \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li><a href=\"#h-pytorch-1\" >\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 PyTorch \u060c \u06cc\u06a9 \u062d\u0631\u06a9\u062a \u0628\u0631\u0642 \u0622\u0633\u0627<\/a><\/li><li><a href=\"#h-pytorch-2\" >\u0686\u0631\u0627 \u0628\u0627\u06cc\u062f PyTorch \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0645\u061f<\/a><\/li><li><a href=\"#h-pytorch-3\" >\u0645\u0631\u0648\u0631\u06cc \u0628\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 PyTorch<\/a><ul><li><a href=\"#h-1\" >1- \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li><a href=\"#h-2\" >\u06f2- \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc<\/a><\/li><li><a href=\"#h-3\" >\u06f3- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0648 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li><a href=\"#h-\" >\u0645\u0639\u0631\u0641\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/a><\/li><li><a href=\"#h--1\" >\u0627\u0648\u0644\u06cc\u0646 \u062a\u0646\u0633\u0648\u0631 \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f<\/a><\/li><li><a href=\"#h--2\" >\u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062f\u0631 \u062a\u0646\u0633\u0648\u0631<\/a><\/li><li><a href=\"#h--3\" >\u062a\u0634\u06cc\u062e\u0635 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0627\u0632 \u0639\u0646\u0627\u0635\u0631<\/a><\/li><li><a href=\"#h-numpy\" >\u062a\u0646\u0633\u0648\u0631 \u0628\u0647 \/ \u0627\u0632 \u0622\u0631\u0627\u06cc\u0647 NumPy<\/a><\/li><li><a href=\"#h--4\" >\u0639\u0645\u0644\u06cc\u0627\u062a \u062d\u0633\u0627\u0628\u06cc \u0631\u0648\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/a><\/li><li><a href=\"#h-cpu-gpu\" >\u062a\u0646\u0633\u0648\u0631 CPU \u0648 GPU<\/a><\/li><\/nav><\/ul><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pytorch\"><span class=\"ez-toc-section\" id=\"PyTorch_%DA%86%DB%8C%D8%B3%D8%AA%D8%9F\"><\/span><strong>PyTorch \u0686\u06cc\u0633\u062a\u061f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">PyTorch \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0627\u062e\u062a \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0647\u0627 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u062a\u0633\u0647\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u0645\u0627 \u062f\u0631 \u0648\u0627\u0642\u0639 \u060c \u0686\u06cc\u0632\u06cc \u0641\u0631\u0627\u062a\u0631 \u0627\u0632 \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a. PyTorch \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0639\u0644\u0645\u06cc \u0627\u0633\u062a (\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc PyTorch \u0622\u0645\u062f\u0647 \u0627\u0633\u062a).<\/p>\n<p style=\"text-align: justify;\">\u0627\u06cc\u0646 \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0639\u0644\u0645\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u062f\u0648 \u0647\u062f\u0641 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0645\u062e\u0627\u0637\u0628\u0627\u0646 \u0642\u0631\u0627\u0631 \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a :<\/p>\n<ol style=\"text-align: justify;\">\n<li>\u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc NumPy \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0648\u0627\u0646 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0647\u0627\u06cc \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc ( GPU )<\/li>\n<li>\u06cc\u06a9 \u067e\u0644\u062a\u0641\u0631\u0645 \u062a\u062d\u0642\u06cc\u0642\u0627\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0647 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0627\u0646\u0639\u0637\u0627\u0641 \u067e\u0630\u06cc\u0631\u06cc \u0648 \u0633\u0631\u0639\u062a \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f<\/li>\n<\/ol>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pytorch-1\"><span class=\"ez-toc-section\" id=\"%DB%8C%D8%A7%D8%AF%DA%AF%DB%8C%D8%B1%DB%8C_%D8%B9%D9%85%DB%8C%D9%82_%D8%A8%D8%A7_PyTorch_%D8%8C_%DB%8C%DA%A9_%D8%AD%D8%B1%DA%A9%D8%AA_%D8%A8%D8%B1%D9%82_%D8%A2%D8%B3%D8%A7\"><\/span><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 PyTorch \u060c \u06cc\u06a9 \u062d\u0631\u06a9\u062a \u0628\u0631\u0642 \u0622\u0633\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">PyTorch \u0627\u0632 \u062a\u0646\u0633\u0648\u0631 ( <strong>Tensor <\/strong>) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u062e\u0648\u062f \u060c \u0645\u0634\u0627\u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 Numpy \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f. \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u062e\u0627\u0635 \u0627\u0632 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u060c \u062a\u0639\u062c\u0628 \u06a9\u0646\u06cc\u062f. \u067e\u0627\u0633\u062e \u0622\u0646 \u062f\u0631 \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u0646\u0647\u0641\u062a\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0648 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0645\u0646\u0627\u0633\u0628 \u060c \u062a\u0646\u0633\u0648\u0631\u0647\u0627 \u0628\u0647 \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u062e\u062a\u0644\u0641 \u0631\u06cc\u0627\u0636\u06cc \u0633\u0631\u0639\u062a \u0645\u06cc \u0628\u062e\u0634\u0646\u062f. \u0627\u06cc\u0646 \u0639\u0645\u0644\u06cc\u0627\u062a \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0628\u0627 \u0627\u0639\u062f\u0627\u062f \u0628\u0632\u0631\u06af \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f \u060c \u062a\u0641\u0627\u0648\u062a \u0632\u06cc\u0627\u062f\u06cc \u062f\u0631 \u0633\u0631\u0639\u062a \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">PyTorch \u060c \u0645\u0634\u0627\u0628\u0647 Python \u060c \u0631\u0648\u06cc \u0633\u0647\u0648\u0644\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a \u0648 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0628\u0627 \u062f\u0627\u0646\u0634 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0633\u0637\u062d\u06cc \u0648 \u0645\u0628\u062a\u062f\u06cc \u0647\u0645 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u0646\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u06af\u0631 \u0627\u0632 \u0642\u0628\u0644\u060c \u0647\u06cc\u0686 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u06cc \u0631\u0627 \u06cc\u0627\u062f \u0646\u06af\u0631\u0641\u062a\u0647 \u0627\u06cc\u062f \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0631\u0686 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 &#8221; \u0627\u0648\u0644\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 &#8221; \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pytorch-2\"><span class=\"ez-toc-section\" id=\"%DA%86%D8%B1%D8%A7_%D8%A8%D8%A7%DB%8C%D8%AF_PyTorch_%D8%B1%D8%A7_%DB%8C%D8%A7%D8%AF_%D8%A8%DA%AF%DB%8C%D8%B1%D9%85%D8%9F\"><\/span><strong>\u0686\u0631\u0627 \u0628\u0627\u06cc\u062f PyTorch \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0645\u061f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u062f\u0631 \u0628\u062e\u0634 \u0642\u0628\u0644\u06cc \u060c \u0630\u06a9\u0631 \u06a9\u0631\u062f\u06cc\u0645 \u06a9\u0647 PyTorch \u0628\u0647\u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627\u06cc\u062f \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u060c \u062a\u0648\u0636\u06cc\u062d \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u06a9\u0647 \u0686\u0631\u0627 \u0627\u06cc\u0646\u0686\u0646\u06cc\u0646 \u0627\u0633\u062a. \u0647\u06cc\u0686 \u06a9\u0645 \u0648 \u06a9\u0627\u0633\u062a\u06cc \u062f\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f : &nbsp;Keras \u060c Tensorflow &nbsp;\u060c &nbsp;Caffe \u0648 Theano (\u0645\u0646\u0633\u0648\u062e \u0634\u062f\u0647) &nbsp;\u0648 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0645\u0648\u0627\u0631\u062f \u062f\u06cc\u06af\u0631. \u0627\u0645\u0627 \u0686\u0647 \u0686\u06cc\u0632\u06cc PyTorch \u0631\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0645\u06cc \u06a9\u0646\u062f\u061f<\/p>\n<p style=\"text-align: justify;\">\u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0642\u0627\u0628\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627\u0634\u062f \u060c \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0627\u0641\u06cc \u0627\u0646\u0639\u0637\u0627\u0641 \u067e\u0630\u06cc\u0631 \u0628\u0627\u0634\u062f \u062a\u0627 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u062f \u060c \u06a9\u0627\u0631\u0622\u0645\u062f \u0628\u0627\u0634\u062f \u062a\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0639\u0638\u06cc\u0645 \u0632\u0646\u062f\u06af\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0645\u062f\u06cc\u0631\u06cc\u062a \u06a9\u0646\u062f \u0648 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u062a\u0627\u06cc\u062c \u0635\u062d\u06cc\u062d \u0631\u0627 \u062d\u062a\u06cc \u062f\u0631 \u0635\u0648\u0631\u062a \u0639\u062f\u0645 \u0642\u0637\u0639\u06cc\u062a \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u0645 \u060c \u0627\u0632 \u062f\u0642\u062a \u0628\u0627\u0644\u0627\u06cc\u06cc \u0628\u0631\u062e\u0648\u0631\u062f\u0627\u0631 \u0628\u0627\u0634\u062f.<\/p>\n<p style=\"text-align: justify;\">PyTorch \u062f\u0631 \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0630\u06a9\u0631 \u0634\u062f\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628\u06cc \u062f\u0627\u0631\u062f. \u0633\u0628\u06a9 \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc &#8221; <strong>pythonic<\/strong> &#8221; \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0631\u0627 \u062a\u0633\u0647\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f. <strong>\u0633\u0631\u0639\u062a <\/strong><strong>GPU<\/strong> \u060c \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 <strong>\u0645\u062d\u0627\u0633\u0628\u0647 \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647<\/strong> \u0648 <strong>\u0645\u062d\u0627\u0633\u0628\u0647 \u062e\u0648\u062f\u06a9\u0627\u0631 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646<\/strong> \u060c \u0628\u0647 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0627\u0632\u06af\u0634\u062a \u0628\u0647 \u0639\u0642\u0628 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u0644\u0628\u062a\u0647 \u060c \u0628\u0647 \u062e\u0627\u0637\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u060c \u0628\u0627 \u062e\u0637\u0631 \u06a9\u0646\u062f \u0628\u0648\u062f\u0646 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 \u0645\u0648\u0627\u062c\u0647 \u0647\u0633\u062a\u06cc\u0645 \u0627\u0645\u0627 API &nbsp;\u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0627\u0644\u0627 C ++ &nbsp;(libtorch) \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0628\u06cc\u0646 \u0645\u06cc \u0628\u0631\u062f. \u0627\u06cc\u0646 \u0627\u0645\u0631 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u0627\u0646\u062a\u0642\u0627\u0644 \u0627\u0632 \u062a\u062d\u0642\u06cc\u0642 \u0648 \u062a\u0648\u0633\u0639\u0647 \u0628\u0647 \u062a\u0648\u0644\u06cc\u062f \u060c \u0628\u0633\u06cc\u0627\u0631 \u0631\u0648\u0627\u0646 \u0628\u0627\u0634\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u062f\u06cc\u06af\u0631\u06cc \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch !<\/p>\n<p style=\"text-align: justify;\">\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u062a\u0627\u06cc\u062c \u062c\u0627\u0644\u0628 \u062a\u0648\u062c\u0647\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 PyTorch \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-PyTorch.jpg\" alt=\"\u06a9\u0627\u0631\u0628\u0631\u062f PyTorch\" class=\"wp-image-10852\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-PyTorch.jpg 1024w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-PyTorch-300x169.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-PyTorch-768x432.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-\u062f\u06cc\u06af\u0631-\u0627\u0632-PyTorch.jpg\" alt=\"\u06a9\u0627\u0631\u0628\u0631\u062f \u062f\u06cc\u06af\u0631 \u0627\u0632 PyTorch\" class=\"wp-image-10853\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-\u062f\u06cc\u06af\u0631-\u0627\u0632-PyTorch.jpg 1024w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-\u062f\u06cc\u06af\u0631-\u0627\u0632-PyTorch-300x169.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u06a9\u0627\u0631\u0628\u0631\u062f-\u062f\u06cc\u06af\u0631-\u0627\u0632-PyTorch-768x432.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631\u06af\u06cc\u0631 PyTorch \u06a9\u0646\u06cc\u0645 \u060c \u062f\u0631 <a href=\"https:\/\/awesomeopensource.com\/projects\/pytorch\" target=\"_blank\" rel=\"noopener noreferrer\">\u0627\u06cc\u0646\u062c\u0627<\/a> \u0644\u06cc\u0633\u062a\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u062c\u0627\u0644\u0628 PyTorch \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pytorch-3\"><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D9%88%D8%B1%DB%8C_%D8%A8%D8%B1_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_PyTorch\"><\/span><strong>\u0645\u0631\u0648\u0631\u06cc \u0628\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 PyTorch<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u062d\u0627\u0644 \u06a9\u0647 \u0628\u0627 PyTorch \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0622\u0646 \u0622\u0634\u0646\u0627 \u0634\u062f\u06cc\u0645 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u0635\u0644\u06cc \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 PyTorch \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645. \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u06cc\u06a9 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0645\u0639\u0645\u0648\u0644\u06cc \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0645\u0627\u0698\u0648\u0644 \u0647\u0627\u06cc \u0645\u0647\u0645 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 \u0647\u0631 \u0645\u0631\u062d\u0644\u0647 \u0631\u0627 \u062a\u0648\u0635\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"760\" height=\"406\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u0646\u062d\u0648\u0647-\u06a9\u0627\u0631-PyTorch.jpg\" alt=\"\u0646\u062d\u0648\u0647 \u06a9\u0627\u0631 PyTorch\" class=\"wp-image-10855\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u0646\u062d\u0648\u0647-\u06a9\u0627\u0631-PyTorch.jpg 760w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u0646\u062d\u0648\u0647-\u06a9\u0627\u0631-PyTorch-300x160.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u0646\u062d\u0648\u0647-\u06a9\u0627\u0631-PyTorch-310x165.jpg 310w\" sizes=\"(max-width: 760px) 100vw, 760px\" \/><\/figure><\/div>\n\n\n<p style=\"text-align: center;\">\u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0627\u0635\u0644\u06cc PyTorch<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627\u0698\u0648\u0644 \u0647\u0627\u06cc \u0645\u0647\u0645 PyTorch \u06a9\u0647 \u0645\u0627 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0644\u0627\u0635\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646 \u0647\u0627 \u0628\u062d\u062b \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632: <strong>torch.nn<\/strong> &nbsp;\u060c <strong>torch.optim<\/strong> \u060c <strong>torch.utils<\/strong> \u0648 <strong>torch.autograd<\/strong><\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1\"><span class=\"ez-toc-section\" id=\"%DB%B1-_%D8%A8%D8%A7%D8%B1%DA%AF%D8%B0%D8%A7%D8%B1%DB%8C_%D9%88_%D9%85%D8%AF%DB%8C%D8%B1%DB%8C%D8%AA_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7\"><\/span><strong>\u06f1- \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0627\u0648\u0644\u06cc\u0646 \u0642\u062f\u0645 \u062f\u0631 \u0647\u0631 \u067e\u0631\u0648\u0698\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u0633\u062a. PyTorch \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 <strong>torch.utils.data<\/strong> \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0648 \u06a9\u0644\u0627\u0633 \u0645\u0647\u0645 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0627\u0698\u0648\u0644 <strong>Dataset<\/strong> \u0648 <strong>DataLoader<\/strong> \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\n<\/p><ul style=\"text-align: justify;\">\n<li><strong>Dataset<\/strong> \u0627\u0632 \u0631\u0648\u06cc \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 Tensor \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u062f\u0631 \u062f\u0631\u062c\u0647 \u0627\u0648\u0644 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0641\u0627\u0631\u0634\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>DataLoader<\/strong> \u0632\u0645\u0627\u0646\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f \u06a9\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0632\u0631\u06af \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u0648 \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0622\u0645\u0627\u062f\u0647 \u0648 \u0645\u0646\u062a\u0638\u0631 \u062d\u0644\u0642\u0647 \u0622\u0645\u0648\u0632\u0634 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u0628\u0647 \u0686\u0646\u062f\u06cc\u0646 \u0645\u0627\u0634\u06cc\u0646 \u06cc\u0627 GPU \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <strong>torch.nn.DataParallel<\/strong> \u0648 <strong>torch.distributed<\/strong> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2\"><span class=\"ez-toc-section\" id=\"%DB%B2-_%D8%B3%D8%A7%D8%AE%D8%AA_%D8%B4%D8%A8%DA%A9%D9%87_%D8%B9%D8%B5%D8%A8%DB%8C\"><\/span><strong>\u06f2- \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0627\u0632 \u0645\u0627\u0698\u0648\u0644 <strong>torch.nn<\/strong> \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u06a9\u0647 \u0647\u0645\u0647 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u060c \u0645\u0627\u0646\u0646\u062f \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0635\u0644 \u060c \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u060c \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u0633\u0627\u0632\u06cc \u0648 \u0647\u0632\u06cc\u0646\u0647 \u0648 \u063a\u06cc\u0631\u0647 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0648\u0642\u062a\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0627\u06cc\u062c\u0627\u062f \u0634\u062f \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u062a\u063a\u0630\u06cc\u0647 \u0634\u0628\u06a9\u0647 \u0622\u0645\u0627\u062f\u0647 \u0634\u062f\u0646\u062f \u060c \u0645\u0627 \u0628\u0647 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0648\u0632\u0646 \u0647\u0627 \u0648 \u0628\u0627\u06cc\u0627\u0633 \u0647\u0627 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645 \u062a\u0627 \u0634\u0628\u06a9\u0647 \u0634\u0631\u0648\u0639 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06a9\u0646\u062f. \u0627\u06cc\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 \u062f\u0631 \u0645\u0627\u0698\u0648\u0644 <strong>torch.optim<\/strong> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u060c \u0628\u0631\u0627\u06cc \u0645\u0634\u062a\u0642 \u06af\u06cc\u0631\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u06a9\u0647 \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0628\u0627\u0632\u06af\u0634\u062a \u0628\u0647 \u0639\u0642\u0628 \u0644\u0627\u0632\u0645 \u0627\u0633\u062a \u060c \u0645\u0627 \u0627\u0632 \u0645\u0627\u0698\u0648\u0644 <strong>torch.autograd<\/strong> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3\"><span class=\"ez-toc-section\" id=\"%DB%B3-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D9%88_%D8%B3%D8%A7%D8%B2%DA%AF%D8%A7%D8%B1%DB%8C_%D9%85%D8%AF%D9%84\"><\/span><strong>\u06f3- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0648 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0645\u062f\u0644<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0628\u0639\u062f \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f \u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u062e\u0631\u0648\u062c\u06cc \u0645\u0648\u0627\u0631\u062f \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u06cc\u0627 \u062d\u062a\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f. \u0627\u06cc\u0646 \u0641\u0631\u0622\u06cc\u0646\u062f <strong>\u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u062f\u0644<\/strong> \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">PyTorch \u0647\u0645\u0686\u0646\u06cc\u0646 <strong>TorchScript<\/strong> \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627 \u060c \u0645\u0633\u062a\u0642\u0644 \u0627\u0632 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u062f. \u0627\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u0645\u062c\u0627\u0632\u06cc \u062a\u0635\u0648\u0631 \u06a9\u0631\u062f \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0647\u0627\u06cc \u0639\u0645\u062f\u062a\u0627\u064b \u0645\u062e\u062a\u0635 \u062a\u0646\u0633\u0648\u0631\u0647\u0627 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch \u0631\u0627 \u0628\u0647 \u0641\u0631\u0645\u062a \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f <strong>ONNX<\/strong> \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f \u060c \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0627\u0632 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627 \u062f\u0631 \u0633\u0627\u06cc\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0627\u0646\u0646\u062f MXNet &nbsp;\u060c CNTK \u060c Caffe2 \u0646\u06cc\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc <strong>onnx<\/strong> \u0631\u0627 \u0628\u0647 Tensorflow \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\"><span class=\"ez-toc-section\" id=\"%D9%85%D8%B9%D8%B1%D9%81%DB%8C_%D8%AA%D9%86%D8%B3%D9%88%D8%B1%D9%87%D8%A7\"><\/span><strong>\u0645\u0639\u0631\u0641\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u062a\u0627\u06a9\u0646\u0648\u0646 \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u060c \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0631\u0627 \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f PyTorch \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f \u0628\u062d\u062b \u06a9\u0631\u062f\u06cc\u0645 \u0648 \u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0627\u0633\u062a. \u0645\u0627 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0627 \u062a\u0646\u0633\u0648\u0631 \u0647\u0627 ( Tensors ) \u0622\u063a\u0627\u0632 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u060c \u06cc\u0639\u0646\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u0635\u0644\u06cc \u062f\u0627\u062f\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 &nbsp;PyTorch .<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u0648\u0627\u0642\u0639\u060c \u062a\u0646\u0633\u0648\u0631 \u06cc\u06a9 \u0646\u0627\u0645 \u0641\u0627\u0646\u062a\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06af\u0631 \u0628\u0627 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc NumPy \u0622\u0634\u0646\u0627 \u0628\u0627\u0634\u06cc\u062f \u060c \u062f\u0631\u06a9 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0646\u0633\u0648\u0631 \u0647\u0627\u06cc PyTorch \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f. \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0628\u0627 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u0635\u0641\u0631 \u0628\u064f\u0639\u062f\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647 \u060c \u0633\u0637\u0631 \u06cc\u0627 \u0633\u062a\u0648\u0646 \u06cc\u06a9 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u06cc\u06a9 \u0628\u064f\u0639\u062f\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u0627\u0644\u06cc \u0622\u062e\u0631. \u062f\u0631 \u0632\u06cc\u0631 \u0686\u0646\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u062a\u0646\u0633\u0648\u0631 \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u0645\u062e\u062a\u0644\u0641 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0648 \u062f\u0631\u06a9 \u0622\u0646 \u0647\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"621\" height=\"496\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u062a\u0646\u0633\u0648\u0631-\u0647\u0627-\u062f\u0631-PyTorch.jpg\" alt=\"\u062a\u0646\u0633\u0648\u0631 \u0647\u0627 \u062f\u0631 PyTorch\" class=\"wp-image-10856\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u062a\u0646\u0633\u0648\u0631-\u0647\u0627-\u062f\u0631-PyTorch.jpg 621w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/03\/\u062a\u0646\u0633\u0648\u0631-\u0647\u0627-\u062f\u0631-PyTorch-300x240.jpg 300w\" sizes=\"(max-width: 621px) 100vw, 621px\" \/><\/figure><\/div>\n\n\n<p style=\"text-align: center;\">\u0627\u0628\u0639\u0627\u062f \u062a\u0646\u0633\u0648\u0631\u0647\u0627 \u062f\u0631 PyTorch<\/p>\n<p style=\"text-align: justify;\">\n<\/p><p style=\"text-align: justify;\">\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0627 \u0645\u0639\u0631\u0641\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f PyTorch 1.1.0 \u0631\u0627 \u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">conda install -c pytorch pytorch-cpu<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u062a\u0645\u0627\u0645 \u0634\u062f \u060c \u0634\u0645\u0627 \u0647\u0645 \u0627\u06a9\u0646\u0648\u0646 PyTorch \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f! \u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0628\u0647 \u0634\u0645\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0627\u0632 <a href=\"https:\/\/colab.research.google.com\/notebooks\/intro.ipynb#recent=true\" target=\"_blank\" rel=\"noopener noreferrer\">Google Colab<\/a> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0646\u0648\u0639 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 GPU \u0631\u0627 \u0627\u0632 \u0641\u0647\u0631\u0633\u062a \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h--1\"><span class=\"ez-toc-section\" id=\"%D8%A7%D9%88%D9%84%DB%8C%D9%86_%D8%AA%D9%86%D8%B3%D9%88%D8%B1_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%A8%D8%B3%D8%A7%D8%B2%DB%8C%D8%AF\"><\/span><strong>\u0627\u0648\u0644\u06cc\u0646 \u062a\u0646\u0633\u0648\u0631 \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 PyTorch \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645. \u0627\u0628\u062a\u062f\u0627 PyTorch \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import torch\n\n# Create a Tensor with just ones in a column\na = torch.ones(5)\n\n# Print the tensor we created\nprint(a)\n\n# tensor([1., 1., 1., 1., 1.])\n\n# Create a Tensor with just zeros in a column\nb = torch.zeros(5)\nprint(b)\n\n# tensor([0., 0., 0., 0., 0.])<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0633\u0641\u0627\u0631\u0634\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">c = torch.tensor([1.0, 2.0, 3.0, 4.0, 5.0])\nprint(c)\n\n# tensor([1., 2., 3., 4., 5.])<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u062a\u0645\u0627\u0645 \u0645\u0648\u0627\u0631\u062f \u0641\u0648\u0642 \u060c \u0645\u0627 \u0628\u0631\u062f\u0627\u0631\u0647\u0627 \u06cc\u0627 \u062a\u0646\u0633\u0648\u0631\u0647\u0627\u06cc \u06cc\u06a9 \u0628\u064f\u0639\u062f\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645. \u0627\u06a9\u0646\u0648\u0646 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0686\u0646\u062f \u062a\u0646\u0633\u0648\u0631 \u0627\u0632 \u0627\u0628\u0639\u0627\u062f \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">d = torch.zeros(3,2)\nprint(d)\n\n# tensor([[0., 0.],\n#        [\u06f0\u066b, \u06f0\u066b],\n#        [\u06f0\u066b, \u06f0\u066b]])\n\ne = torch.ones(3,2)\nprint(e)\n\n# tensor([[1., 1.],\n#        [\u06f1\u066b, \u06f1\u066b],\n#        [\u06f1\u066b, \u06f1\u066b]])\n\nf = torch.tensor([[1.0, 2.0],[3.0, 4.0]])\nprint(f)\n\n# tensor([[1., 2.],\n#        [\u06f3\u066b, \u06f4\u066b]])\n\n# \u06f3D Tensor\ng = torch.tensor([[[1., 2.], [3., 4.]], [[5., 6.], [7., 8.]]])\nprint(g)\n\n# tensor([[[1., 2.],\n#         [\u06f3\u066b, \u06f4\u066b]],\n#\n#        [[\u06f5\u066b, \u06f6\u066b],\n#         [\u06f7\u066b, \u06f8\u066b]]])<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 .shape \u0634\u06a9\u0644 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">print(f.shape)\n# torch.Size([2, 2])\n\nprint(e.shape)\n# torch.Size([3, 2])\n\nprint(g.shape)\n# torch.Size([2, 2, 2])<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h--2\"><span class=\"ez-toc-section\" id=\"%D8%AF%D8%B3%D8%AA%D8%B1%D8%B3%DB%8C_%D8%A8%D9%87_%DB%8C%DA%A9_%D8%B9%D9%86%D8%B5%D8%B1_%D8%AF%D8%B1_%D8%AA%D9%86%D8%B3%D9%88%D8%B1\"><\/span><strong>\u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062f\u0631 \u062a\u0646\u0633\u0648\u0631<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u0686\u0646\u062f \u062a\u0646\u0633\u0648\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062f\u0631 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u062f\u0633\u062a\u0631\u0633\u06cc \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645. \u0627\u0628\u062a\u062f\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u062a\u0646\u0633\u0648\u0631 \u06cc\u06a9 \u0628\u064f\u0639\u062f\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Get element at index 2\nprint(c[2])\n\n# tensor(3.)<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0646\u0633\u0648\u0631 \u062f\u0648 \u0628\u064f\u0639\u062f\u06cc \u06cc\u0627 \u0633\u0647 \u0628\u064f\u0639\u062f\u06cc \u0686\u0637\u0648\u0631\u061f \u0622\u0646\u0686\u0647 \u0631\u0627 \u06a9\u0647 \u0645\u0627 \u062f\u0631 \u0642\u0633\u0645\u062a \u0642\u0628\u0644\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0628\u064f\u0639\u062f \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u0630\u06a9\u0631 \u06a9\u0631\u062f\u06cc\u0645 \u0631\u0627 \u0628\u0647 \u06cc\u0627\u062f \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f. \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062e\u0627\u0635 \u062f\u0631 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u060c \u0628\u0627\u06cc\u062f \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc\u06cc \u0645\u062b\u0644 \u0628\u064f\u0639\u062f \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645. \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0628\u0631\u0627\u06cc \u062a\u0646\u0633\u0648\u0631 c \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0634\u0627\u062e\u0635 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># All indices starting from 0\n\n# Get element at row 1, column 0\nprint(f[1,0])\n# We can also use the following\nprint(f[1][0])\n\n# tensor(3.)\n\n# Similarly for 3D Tensor\nprint(g[1,0,0])\nprint(g[1][0][0])\n\n# tensor(5.)<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0627\u0645\u0627 \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0647 \u06cc\u06a9 \u0631\u062f\u06cc\u0641 \u06a9\u0627\u0645\u0644 \u062f\u0631 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u062f\u0648 \u0628\u064f\u0639\u062f\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f \u060c \u0686\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u061f \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0647\u0645\u0627\u0646 \u0646\u062d\u0648\u06cc \u06a9\u0647 \u062f\u0631 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc NumPy \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># All elements\nprint(f[:])\n\n# All elements from index 1 to 2 (inclusive)\nprint(c[1:3])\n\n# All elements till index 4 (exclusive)\nprint(c[:4])\n\n# First row\nprint(f[0,:])\n\n# Second column\nprint(f[:,1])<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h--3\"><span class=\"ez-toc-section\" id=\"%D8%AA%D8%B4%DB%8C%D8%AE%D8%B5_%D9%86%D9%88%D8%B9_%D8%AF%D8%A7%D8%AF%D9%87_%D8%A7%D8%B2_%D8%B9%D9%86%D8%A7%D8%B5%D8%B1\"><\/span><strong>\u062a\u0634\u06cc\u062e\u0635 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0627\u0632 \u0639\u0646\u0627\u0635\u0631<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0647\u0631 \u0632\u0645\u0627\u0646 \u06a9\u0647 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u060c PyTorch \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0639\u0646\u0627\u0635\u0631 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0647\u0645\u0647 \u0639\u0646\u0627\u0635\u0631 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u062f. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0647\u0646\u06af\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u062a\u0646\u0633\u0648\u0631 \u060c \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u0628\u06af\u06cc\u0631\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">int_tensor = torch.tensor([[1,2,3],[4,5,6]])\nprint(int_tensor.dtype)\n\n# torch.int64\n\n# What if we changed any one element to floating point number?\nint_tensor = torch.tensor([[1,2,3],[4.,5,6]])\nprint(int_tensor.dtype)\n\n# torch.float32\n\nprint(int_tensor)\n\n# tensor([[1., 2., 3.],\n#        [\u06f4\u066b, \u06f5\u066b, \u06f6\u066b]])\n\n\n# This can be overridden as follows\nint_tensor = torch.tensor([[1,2,3],[4.,5,6]], dtype=torch.int32)\nprint(int_tensor.dtype)\n\n# torch.int32\n\nprint(int_tensor)\n\n# tensor([[1, 2, 3],\n#        [\u06f4, \u06f5, \u06f6]], dtype=torch.int32)<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-numpy\"><span class=\"ez-toc-section\" id=\"%D8%AA%D9%86%D8%B3%D9%88%D8%B1_%D8%A8%D9%87_%D8%A7%D8%B2_%D8%A2%D8%B1%D8%A7%DB%8C%D9%87_NumPy\"><\/span><strong>\u062a\u0646\u0633\u0648\u0631 \u0628\u0647 \/ \u0627\u0632 \u0622\u0631\u0627\u06cc\u0647 NumPy<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0647\u0631 \u0632\u0645\u0627\u0646 \u06a9\u0647 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u060c PyTorch \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0639\u0646\u0627\u0635\u0631 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0647\u0645\u0647 \u0639\u0646\u0627\u0635\u0631 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u062f. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0647\u0646\u06af\u0627\u0645 \u0627\u06cc\u062c\u0627\u062f \u062a\u0646\u0633\u0648\u0631 \u060c \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u0628\u06af\u06cc\u0631\u06cc\u0645.<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0628\u0627\u0631\u0647\u0627 \u0627\u0634\u0627\u0631\u0647 \u06a9\u0631\u062f\u06cc\u0645 \u06a9\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc PyTorch Tensors \u0648 NumPy \u06a9\u0627\u0645\u0644\u0627\u064b \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0647\u0645 \u0647\u0633\u062a\u0646\u062f. \u0627\u06cc\u0646 \u0633\u0648\u0627\u0644 \u0632\u0645\u0627\u0646\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0627\u0645\u06a9\u0627\u0646 \u062a\u0628\u062f\u06cc\u0644 \u06cc\u06a9 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0628\u0647 \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u06cc\u06af\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import NumPy\nimport numpy as np\n\n# Tensor to Array\nf_numpy = f.numpy()\nprint(f_numpy)\n\n# array([[1., 2.],\n#       [\u06f3\u066b, \u06f4\u066b]], dtype=float32)\n\n# Array to Tensor\nh = np.array([[8,7,6,5],[4,3,2,1]])\nh_tensor = torch.from_numpy(h)\nprint(h_tensor)\n\n# tensor([[8, 7, 6, 5],\n#        [\u06f4, \u06f3, \u06f2, \u06f1]])<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h--4\"><span class=\"ez-toc-section\" id=\"%D8%B9%D9%85%D9%84%DB%8C%D8%A7%D8%AA_%D8%AD%D8%B3%D8%A7%D8%A8%DB%8C_%D8%B1%D9%88%DB%8C_%D8%AA%D9%86%D8%B3%D9%88%D8%B1%D9%87%D8%A7\"><\/span><strong>\u0639\u0645\u0644\u06cc\u0627\u062a \u062d\u0633\u0627\u0628\u06cc \u0631\u0648\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u06af\u0627\u0645 \u0628\u0639\u062f\u06cc \u0627\u0633\u062a. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0631\u0648\u06cc \u062a\u0646\u0633\u0648\u0631 \u0647\u0627\u06cc PyTorch \u0639\u0645\u0644\u06cc\u0627\u062a \u062d\u0633\u0627\u0628\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Create tensor\ntensor1 = torch.tensor([[1,2,3],[4,5,6]])\ntensor2 = torch.tensor([[-1,2,-3],[4,-5,6]])\n\n# Addition\nprint(tensor1+tensor2)\n# We can also use\nprint(torch.add(tensor1,tensor2))\n\n# tensor([[ 0,  4,  0],\n#        [ \u06f8,  \u06f0, \u06f1\u06f2]])\n\n# Subtraction\nprint(tensor1-tensor2)\n# We can also use\nprint(torch.sub(tensor1,tensor2))\n\n# tensor([[ 2,  0,  6],\n#        [ \u06f0, \u06f1\u06f0,  \u06f0]])\n\n# Multiplication\n# Tensor with Scalar\nprint(tensor1 * 2)\n# tensor([[ 2,  4,  6],\n#        [ \u06f8, \u06f1\u06f0, \u06f1\u06f2]])\n\n# Tensor with another tensor\n# Elementwise Multiplication\nprint(tensor1 * tensor2)\n# tensor([[ -1,   4,  -9],\n#        [ \u06f1\u06f6, -\u06f2\u06f5,  \u06f3\u06f6]])\n\n# Matrix multiplication\ntensor3 = torch.tensor([[1,2],[3,4],[5,6]])\nprint(torch.mm(tensor1,tensor3))\n# tensor([[22, 28],\n#        [\u06f4\u06f9, \u06f6\u06f4]])\n\n# Division\n# Tensor with scalar\nprint(tensor1\/2)\n# tensor([[0, 1, 1],\n#        [\u06f2, \u06f2, \u06f3]])\n\n# Tensor with another tensor\n# Elementwise division\nprint(tensor1\/tensor2)\n# tensor([[-1,  1, -1],\n#        [ \u06f1, -\u06f1,  \u06f1]])<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-cpu-gpu\"><span class=\"ez-toc-section\" id=\"%D8%AA%D9%86%D8%B3%D9%88%D8%B1_CPU_%D9%88_GPU\"><\/span><strong>\u062a\u0646\u0633\u0648\u0631<\/strong> <strong>CPU \u0648 GPU<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">PyTorch \u0628\u0631\u0627\u06cc CPU \u0648 GPU \u060c \u0627\u062c\u0631\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0627\u0632 \u062a\u0646\u0633\u0648\u0631 \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0646\u06af\u06cc\u0646 \u0645\u0648\u0627\u0632\u06cc \u0648 \u0633\u0631\u06cc\u0639 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0647\u0631 \u062a\u0646\u0633\u0648\u0631\u06cc \u0631\u0627 \u0628\u0647 GPU \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f. \u062a\u0645\u0627\u0645 \u0639\u0645\u0644\u06cc\u0627\u062a\u06cc \u06a9\u0647 \u0631\u0648\u06cc \u062a\u0646\u0633\u0648\u0631 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0627\u0644 \u0647\u0627\u06cc \u062e\u0627\u0635 GPU \u0627\u0632 \u0637\u0631\u06cc\u0642 PyTorch \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u0628\u0647 GPU \u062f\u0633\u062a\u0631\u0633\u06cc \u0646\u062f\u0627\u0631\u06cc\u062f \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0647\u0627 \u0631\u0627 \u062f\u0631 Google Colab \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0648 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 \u0631\u0627 \u0631\u0648\u06cc GPU \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u0628\u062a\u062f\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u06cc\u06a9 \u062a\u0646\u0633\u0648\u0631 \u0628\u0631\u0627\u06cc GPU \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Create a tensor for CPU\n# This will occupy CPU RAM\ntensor_cpu = torch.tensor([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], device='cpu')\n\n# Create a tensor for GPU\n# This will occupy GPU RAM\ntensor_gpu = torch.tensor([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], device='cuda')<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u0627\u0632 Google Colab \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u060c \u062f\u0631 \u06af\u0648\u0634\u0647 \u0628\u0627\u0644\u0627 \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0631\u0648\u06cc RAM consumption meter &nbsp;\u06a9\u0644\u06cc\u06a9 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0647 \u0645\u062d\u0636 \u0627\u06cc\u062c\u0627\u062f <strong>tensor_gpu<\/strong> \u060c \u0634\u0627\u0647\u062f \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u0635\u0631\u0641 GPU RAM \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">\n<\/p><p style=\"text-align: justify;\">\u062f\u0631\u0633\u062a \u0645\u0627\u0646\u0646\u062f \u0639\u0645\u0644\u06cc\u0627\u062a \u0627\u06cc\u062c\u0627\u062f \u062a\u0646\u0633\u0648\u0631 \u060c \u0639\u0645\u0644\u06cc\u0627\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u0646\u0633\u0648\u0631\u0647\u0627\u06cc CPU \u0648 GPU \u0646\u06cc\u0632 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a \u0648 RAM \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0628\u0627 \u062f\u0633\u062a\u06af\u0627\u0647 \u0645\u0634\u062e\u0635 \u0634\u062f\u0647 \u0645\u0635\u0631\u0641 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># This uses CPU RAM\ntensor_cpu = tensor_cpu * 5\n\n# This uses GPU RAM\n# Focus on GPU RAM Consumption\ntensor_gpu = tensor_gpu * 5<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0646\u06a9\u062a\u0647 \u06a9\u0644\u06cc\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0622\u0646 \u062a\u0648\u062c\u0647 \u0634\u0648\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0647\u06cc\u0686 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u062f\u0631 \u0639\u0645\u0644\u06cc\u0627\u062a \u062a\u0646\u0633\u0648\u0631 GPU \u0628\u0647 CPU \u0645\u0646\u062a\u0642\u0644 \u0646\u0645\u06cc \u0634\u0648\u062f (\u0645\u06af\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u0645\u0627 \u062a\u0646\u0633\u0648\u0631 \u0631\u0627 \u0686\u0627\u067e \u06a9\u0646\u06cc\u0645 \u06cc\u0627 \u0628\u0647 \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645).<\/p>\n<p style=\"text-align: justify;\">\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u0646\u0633\u0648\u0631 GPU \u0631\u0627 \u0628\u0647 CPU \u0648 \u0628\u0627\u0644\u0639\u06a9\u0633 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Move GPU tensor to CPU\ntensor_gpu_cpu = tensor_gpu.to(device='cpu')\n\n# Move CPU tensor to GPU\ntensor_cpu_gpu = tensor_cpu.to(device='cuda')<\/pre>\n<p><\/p>\n<p style=\"text-align: justify;\">\u0648 \u062a\u0645\u0627\u0645 !<\/p>\n<div class=\"clear\"><\/div><div style=\"margin-top:20px; margin-bottom:20px;\" class=\"divider divider-normal\"><\/div>\n<p style=\"text-align: justify;\">\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062c\u0645\u0639 \u0628\u0646\u062f\u06cc \u0633\u0631\u06cc\u0639 \u060c \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f PyTorch \u060c \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0628\u0648\u062f\u0646 \u0622\u0646 \u0648 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0631\u0627 \u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f \u0628\u062d\u062b \u06a9\u0631\u062f\u06cc\u0645. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0637\u0648\u0631 \u0645\u0641\u0635\u0644 \u0628\u0647 \u0631\u0648\u0646\u062f \u06a9\u0627\u0631 PyTorch \u0648 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u062a\u0646\u0633\u0648\u0631 PyTorch \u067e\u0631\u062f\u0627\u062e\u062a\u06cc\u0645.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u067e\u0633\u062a \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0639\u062f\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u06a9\u0645\u06a9 <strong>TorchVision<\/strong> \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<p><strong>\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f :<\/strong><\/p>\n\n\n<div class=\"wp-block-group has-vivid-green-cyan-color has-text-color\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<ul class=\"wp-block-yoast-seo-related-links\"><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/getting-started-with-tensorflow-the-easy-way\/\">\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0627\u0648\u0644)<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/videos\/deep-learning-simplified-rntn-ep-11\/\">\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0633\u0627\u062f\u0647 : \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u062a\u0646\u0633\u0648\u0631 \u0639\u0635\u0628\u06cc \u0628\u0627\u0632\u06af\u0634\u062a\u06cc \u2013 \u0642\u0633\u0645\u062a \u06cc\u0627\u0632\u062f\u0647\u0645<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/programming-tools\/get-started-with-imagenet-part-2\/\">\u06a9\u0627\u0631 \u0628\u0627 \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647 ImageNet &#8211; \u0642\u0633\u0645\u062a \u062f\u0648\u0645<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/en-articles\/instance-segmentation-with-mask-r-cnn-and-tensorflow\/\">Splash of Color: Instance Segmentation with Mask R-CNN and TensorFlow<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/using-google-colab-for-deep-learning-tutorial\/\">\u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u06af\u0648\u06af\u0644 Colab \u0628\u0631\u0627\u06cc  \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u061f<\/a><\/li><\/ul>\n<\/div><\/div>\n\n\n<a href=\"#\" class=\"shortc-button small blue \">\u0645\u0646\u0628\u0639<\/a> <a href=\"https:\/\/learnopencv.com\/pytorch-for-beginners-basics\/\" target=\"_blank\" class=\"shortc-button small gray \" rel=\"noopener\">Learn OpenCV<\/a>\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-right kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;right&quot;,&quot;id&quot;:&quot;10576&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc\u062f!&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 \u0627\u0645\u062a\u06cc\u0627\u0632)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;\u0622\u0645\u0648\u0632\u0634 PyTorch \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 - \u0645\u0628\u0627\u0646\u06cc&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} \u0627\u0645\u062a\u06cc\u0627\u0632)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc\u062f!<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u062c\u0647\u0627\u0646 \u062f\u0631 \u062d\u0627\u0644 \u067e\u06cc\u0634\u0631\u0641\u062a \u0627\u0633\u062a \u0648 \u0641\u0646\u0627\u0648\u0631\u06cc \u0646\u06cc\u0632 \u062f\u0631 \u062e\u062f\u0645\u062a \u0622\u0646 \u0627\u0633\u062a. \u0647\u0645\u0647 \u0628\u0627\u06cc\u062f \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0633\u0631\u06cc\u0639 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc \u0647\u0645\u0631\u0627\u0647 \u0634\u0648\u0646\u062f. \u06cc\u06a9\u06cc \u0627\u0632 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0627\u0647\u062f \u0633\u0631\u06cc\u0639 \u062a\u0631\u06cc\u0646 \u0648 \u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u062a\u06a9\u0627\u0645\u0644 \u0628\u0648\u062f\u0647 \u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a. \u0645\u0627 \u062f\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u060c \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u062a\u0627 \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u0628\u0647\u062a\u0631\u06cc \u062f\u0633\u062a &hellip;<\/p>\n","protected":false},"author":17,"featured_media":10862,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[19,18],"tags":[84,147,106,86],"class_list":["post-10576","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-deep-learning","category-edu","tag-84","tag-147","tag-106","tag-86"],"_links":{"self":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/10576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/comments?post=10576"}],"version-history":[{"count":1,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/10576\/revisions"}],"predecessor-version":[{"id":16209,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/10576\/revisions\/16209"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media\/10862"}],"wp:attachment":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media?parent=10576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/categories?post=10576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/tags?post=10576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}