{"id":16131,"date":"2024-01-21T05:55:39","date_gmt":"2024-01-21T02:25:39","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/"},"modified":"2024-01-21T05:55:39","modified_gmt":"2024-01-21T02:25:39","slug":"%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/","title":{"rendered":"\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u0648 PyTorch"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#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:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%aa%d8%b9%d8%b1%db%8c%d9%81_%d8%a7%d8%b5%d8%b7%d9%84%d8%a7%d8%ad%d8%a7%d8%aa_%d8%b6%d8%b1%d9%88%d8%b1%db%8c\" >\u062a\u0639\u0631\u06cc\u0641 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0636\u0631\u0648\u0631\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c_%d8%b9%d9%85%db%8c%d9%82_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%b4%d8%a8%da%a9%d9%87_%d8%b9%d8%b5%d8%a8%db%8c_%da%a9%d8%a7%d9%86%d9%88%d9%84%d9%88%d8%b4%d9%86_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%88_%d8%aa%d8%b3%d8%aa\" >\u0622\u0645\u0648\u0632\u0634 \u0648 \u062a\u0633\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84%db%8c_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >\u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%aa%d8%a6%d9%88%d8%b1%db%8c_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c_%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84%db%8c\" >\u062a\u0626\u0648\u0631\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1_%d8%a8%d8%a7_%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84_%d8%af%d8%b1_pytorch\" >\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0631 PyTorch<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \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-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%af%d8%b1_%d8%ad%d8%a7%d9%84_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \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-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c_%db%8c%da%a9_%d9%85%d8%af%d9%84_%d8%a7%d8%b2_%d9%be%db%8c%d8%b4_%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d8%af%db%8c%d8%af%d9%87\" >\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d8%aa%d8%ac%d8%b3%d9%85\" >\u062a\u062c\u0633\u0645<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b7%d8%a8%d9%82%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1-%d8%a8%d8%a7-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84-%d9%88-pytorch\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 17<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0641\u0631\u062f \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u062f\u0627\u0646\u0634 \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0631\u062f\u0647 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0645\u0634\u0627\u0628\u0647 \u0628\u0647 \u06a9\u0627\u0631 \u06af\u06cc\u0631\u062f.<\/p>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u0686\u0634\u0645\u06af\u06cc\u0631\u06cc \u0633\u0631\u0639\u062a \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0627\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u062d\u0627\u0644 \u0637\u0631\u0627\u062d\u06cc \u0622\u0646 \u0647\u0633\u062a\u06cc\u062f \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u062c\u0631\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0645\u0627 \u0631\u0627 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0648 \u0622\u0633\u0627\u0646 \u062a\u0631 \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u062a\u0626\u0648\u0631\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u0648 \u0631\u0648\u0634 \u0627\u062c\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0631\u0627 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 (CNN) \u062f\u0631 PyTorch.<\/p>\n<h2 id=\"whatispytorch\"><span class=\"ez-toc-section\" id=\"pytorch_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>PyTorch \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pytorch.org\/\">Pytorch<\/a> \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u0641\u062a\u0647 \u0628\u0631\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u062a\u062e\u0635\u0635 \u062f\u0627\u0631\u062f.  PyTorch \u0627\u0632 \u0642\u062f\u0631\u062a \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc (GPU) \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0633\u0631\u06cc\u0639\u062a\u0631 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f. \u0631\u0648\u06cc \u06cc\u06a9 CPU<\/p>\n<p>PyTorch \u0628\u0647 \u0644\u0637\u0641 \u0633\u0631\u0639\u062a \u0648 \u0627\u0646\u0639\u0637\u0627\u0641 \u067e\u0630\u06cc\u0631\u06cc \u062e\u0648\u062f\u060c \u0645\u062d\u0628\u0648\u0628\u06cc\u062a \u0641\u0632\u0627\u06cc\u0646\u062f\u0647 \u0627\u06cc \u062f\u0631 \u0628\u06cc\u0646 \u0645\u062d\u0642\u0642\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0627\u0634\u062a\u0647 \u0627\u0633\u062a.  PyTorch \u062e\u0648\u062f \u0631\u0627 \u0645\u06cc \u0641\u0631\u0648\u0634\u062f \u0631\u0648\u06cc \u0633\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0645\u062e\u062a\u0644\u0641:<\/p>\n<ul>\n<li>\u06cc\u06a9 \u0631\u0627\u0628\u0637 \u06a9\u0627\u0631\u0628\u0631\u06cc \u0633\u0627\u062f\u0647 \u0648 \u0622\u0633\u0627\u0646 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/li>\n<li>\u0627\u062f\u063a\u0627\u0645 \u06a9\u0627\u0645\u0644 \u0628\u0627 \u067e\u0634\u062a\u0647 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646<\/li>\n<li>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0645\u0646\u0639\u0637\u0641 \/ \u200b\u200b\u067e\u0648\u06cc\u0627 \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 \u0637\u0648\u0644 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u06a9\u0646\u0646\u062f (\u06a9\u0647 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0622\u0633\u0627\u0646 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0634\u0645\u0627 \u0646\u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u0686\u0642\u062f\u0631 \u062d\u0627\u0641\u0638\u0647 \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644 \u0634\u0645\u0627 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a).<\/li>\n<\/ul>\n<p>PyTorch \u0628\u0627 NumPy \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u0633\u062a \u0648 \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc NumPy \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0628\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0634\u0648\u0646\u062f \u0648 \u0628\u0627\u0644\u0639\u06a9\u0633.<\/p>\n<h2 id=\"definingnecessaryterms\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b9%d8%b1%db%8c%d9%81_%d8%a7%d8%b5%d8%b7%d9%84%d8%a7%d8%ad%d8%a7%d8%aa_%d8%b6%d8%b1%d9%88%d8%b1%db%8c\"><\/span>\u062a\u0639\u0631\u06cc\u0641 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0636\u0631\u0648\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u062c\u0644\u0648\u062a\u0631 \u0628\u0631\u0648\u06cc\u0645\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0686\u0646\u062f \u0644\u062d\u0638\u0647 \u0628\u0647 \u062a\u0639\u0631\u06cc\u0641 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645.  \u0631\u0648\u0634\u0646 \u0634\u062f\u0646 \u0631\u0648\u06cc \u062a\u0639\u0627\u0631\u06cc\u0641 \u0645\u0627 \u062f\u0631\u06a9 \u0646\u0638\u0631\u06cc\u0647 \u067e\u0634\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0648 \u0627\u062c\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0648 \u062a\u06a9\u0631\u0627\u0631 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h3 id=\"whatisdeeplearning\"><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_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/introduction-to-transfer-learning-1.png\" alt=\"\" title=\"\"><\/p>\n<p><strong><em>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/em><\/strong>  \u0632\u06cc\u0631\u0628\u062e\u0634\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0639\u0645\u0644\u06cc \u06a9\u0647 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0647\u0627 \u0631\u0627 \u0642\u0627\u062f\u0631 \u0645\u06cc \u0633\u0627\u0632\u062f \u0648\u0638\u0627\u06cc\u0641 \u0631\u0627 \u0628\u062f\u0648\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0635\u0631\u06cc\u062d \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u0646\u062f\u060c \u062a\u0648\u0635\u06cc\u0641 \u06a9\u0631\u062f.<\/p>\n<p>\u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0632 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u06a9\u0647 \u0686\u0627\u0631\u0686\u0648\u0628\u200c\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0627\u0632 \u0645\u063a\u0632 \u0627\u0646\u0633\u0627\u0646 \u0645\u062f\u0644\u200c\u0633\u0627\u0632\u06cc \u0634\u062f\u0647\u200c\u0627\u0646\u062f.<\/p>\n<p>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0633\u0647 \u062c\u0632\u0621 \u0645\u062e\u062a\u0644\u0641 \u062f\u0627\u0631\u0646\u062f: An <strong>\u0644\u0627\u06cc\u0647 \u0648\u0631\u0648\u062f\u06cc<\/strong>\u060c \u0622 <strong>\u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646<\/strong> \u06cc\u0627 \u0644\u0627\u06cc\u0647 \u0645\u06cc\u0627\u0646\u06cc \u0648 \u06cc\u06a9 <strong>\u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc<\/strong>.<\/p>\n<p>\u0631\u0627 <em>\u0644\u0627\u06cc\u0647 \u0648\u0631\u0648\u062f\u06cc<\/em> \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u062c\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <em>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u06cc\u0627\u0646\u06cc \/ \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u067e\u0646\u0647\u0627\u0646<\/em> \u0627\u0632 \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u0628\u0647 \u0646\u0627\u0645 a \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0646\u062f node \u06cc\u0627 \u0646\u0648\u0631\u0648\u0646<\/p>\n<p>\u0627\u06cc\u0646 \u06af\u0631\u0647 \u0647\u0627 \u062a\u0648\u0627\u0628\u0639 \u0631\u06cc\u0627\u0636\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0628\u0647 \u0646\u0648\u0639\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u0646\u062f \u0648 \u067e\u0627\u0633 \u0645\u06cc \u062f\u0647\u0646\u062f \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u06cc\u0627\u0641\u062a\u0647 \u0628\u0647 \u0644\u0627\u06cc\u0647 \u0646\u0647\u0627\u06cc\u06cc\u060c \u06cc\u0627 <em>\u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc<\/em>.  \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0633\u0627\u062f\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u0631\u0627 \u062f\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u0641\u0631\u0648\u0636\u0627\u062a \u06cc\u0627 \u0648\u0632\u0646\u200c\u0647\u0627 \u062f\u0631\u0628\u0627\u0631\u0647 \u0631\u0648\u0634 \u0627\u0631\u062a\u0628\u0627\u0637 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0628\u0627 \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u0646\u062f.<\/p>\n<p>\u0622 <strong>\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642<\/strong> \u0646\u0627\u0645 \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0646\u0638\u0645 \u0628\u0647 \u0647\u0645 \u067e\u06cc\u0648\u0633\u062a\u0647 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0647\u0631 \u0686\u0647 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u0647\u0645 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627\u0634\u0646\u062f\u060c \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647\u200c\u062a\u0631\u06cc \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u062f \u0648 \u0628\u06cc\u0634\u062a\u0631 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/10\/01\/what-is-deep-learning-ai-a-simple-guide-with-8-practical-examples\/#61353db38d4b\">\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f<\/a> \u0627\u06cc\u0646 \u062f\u0627\u0631\u062f.  \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0622\u0646\u0647\u0627 \u062a\u062e\u0635\u0635 \u062e\u0627\u0635 \u062e\u0648\u062f \u0631\u0627 \u062f\u0627\u0631\u062f.<\/p>\n<p>\u0645\u062b\u0644\u0627\u060c <strong><em>\u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u0628\u0644\u0646\u062f \u0645\u062f\u062a<\/em><\/strong>  \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0647\u0646\u06af\u0627\u0645 \u0631\u0633\u06cc\u062f\u06af\u06cc \u0628\u0647 \u0648\u0638\u0627\u06cc\u0641 \u062d\u0633\u0627\u0633 \u0628\u0647 \u0632\u0645\u0627\u0646\u060c \u06a9\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0632\u0645\u0627\u0646\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0645\u0647\u0645 \u0627\u0633\u062a\u060c \u0645\u0627\u0646\u0646\u062f \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u06cc\u0627 \u06af\u0641\u062a\u0627\u0631\u06cc\u060c \u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/p>\n<h3 id=\"whatisaconvolutionalneuralnetwork\"><span class=\"ez-toc-section\" id=\"%d8%b4%d8%a8%da%a9%d9%87_%d8%b9%d8%b5%d8%a8%db%8c_%da%a9%d8%a7%d9%86%d9%88%d9%84%d9%88%d8%b4%d9%86_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u062e\u0648\u0627\u0647\u062f \u067e\u0631\u062f\u0627\u062e\u062a <strong><em>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644<\/em><\/strong>\u060c \u0646\u0648\u0639\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0628\u0631\u062a\u0631\u06cc \u062f\u0627\u0631\u062f.<\/p>\n<p><em>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644<\/em> (CNN) \u0627\u0646\u0648\u0627\u0639 \u062e\u0627\u0635\u06cc \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0635\u0631\u06cc \u0645\u0647\u0627\u0631\u062a \u062f\u0627\u0631\u0646\u062f.  \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u06cc\u06a9 CNN \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/ujjwalkarn.me\/2016\/08\/11\/intuitive-explanation-convnets\/\">\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f<\/a> \u06a9\u0647 \u062d\u0627\u0648\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0686\u0642\u062f\u0631 \u0631\u0648\u0634\u0646 \u0648 \u0686\u0647 \u0631\u0646\u06af\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u06cc\u06a9 CNN \u0628\u0647 \u0633\u0647 \u0642\u0633\u0645\u062a \u0645\u062e\u062a\u0644\u0641 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/towardsdatascience.com\/components-of-convolutional-neural-networks-6ff66296b456\" class=\"broken_link\">\u0627\u062c\u0632\u0627\u0621<\/a>: <strong>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646<\/strong>\u060c <strong>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u062f\u063a\u0627\u0645<\/strong>\u060c \u0648 <strong>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0645\u0644\u0627 \u0645\u062a\u0635\u0644<\/strong>.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/introduction-to-transfer-learning-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u0633\u0626\u0648\u0644\u06cc\u062a \u0627\u0632 <em>\u0644\u0627\u06cc\u0647 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646<\/em> \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0627\u06cc\u0634\u06cc \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u06af\u0631\u0641\u062a\u0646 \u062d\u0627\u0635\u0644 \u0636\u0631\u0628 \u0646\u0642\u0637\u0647 \u0627\u06cc \u062f\u0648 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u0627\u062a\u0631\u06cc\u0633 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0622\u0646 \u0647\u0633\u062a\u0647 \u0645\u06cc \u06af\u0648\u06cc\u0646\u062f.  \u0645\u0627\u062a\u0631\u06cc\u0633 \u062f\u06cc\u06af\u0631 \u0628\u062e\u0634\u06cc \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u0645\u0648\u0631\u062f \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u0627\u0631\u062a\u0641\u0627\u0639\u060c \u0639\u0631\u0636 \u0648 \u06a9\u0627\u0646\u0627\u0644 \u0647\u0627\u06cc \u0631\u0646\u06af\u06cc \u0627\u0633\u062a.  \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u062c\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u062f\u0631 CNN \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.  \u0647\u0633\u062a\u0647 \u062f\u0631 \u062a\u0645\u0627\u0645 \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u062a\u0635\u0648\u06cc\u0631 \u062c\u0627\u0628\u0647\u200c\u062c\u0627 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0646\u0645\u0627\u06cc\u0634\u06cc \u0627\u0632 \u06a9\u0644 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u062f\u0648 \u0628\u0639\u062f\u06cc \u0627\u0633\u062a\u060c \u0646\u0645\u0627\u06cc\u0634\u06cc \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0642\u0634\u0647 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<p>\u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u062d\u062c\u0645 \u0627\u0646\u0628\u0648\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u0633\u06cc \u0627\u0646 \u0627\u0646\u060c \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0632\u0645\u0627\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f.  \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 <em>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u062f\u063a\u0627\u0645<\/em> \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 CNN \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u0645\u060c \u062e\u0631\u0648\u062c\u06cc \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u06a9\u0648\u0686\u06a9 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0646\u0645\u0627\u06cc\u0634 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0634\u0648\u062f.<\/p>\n<p>\u0644\u0627\u06cc\u0647 \u0627\u062f\u063a\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0627 \u0646\u06af\u0627\u0647 \u06a9\u0631\u062f\u0646 \u0628\u0647 \u0646\u0642\u0627\u0637 \u0645\u062e\u062a\u0644\u0641 \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0648 &#8220;\u062a\u062c\u0645\u0639 \u06a9\u0631\u062f\u0646&#8221; \u0645\u0642\u0627\u062f\u06cc\u0631 \u0646\u0632\u062f\u06cc\u06a9 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0628\u0647 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0645\u06cc \u0631\u0633\u062f \u06a9\u0647 \u0647\u0645\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0646\u0632\u062f\u06cc\u06a9 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.  \u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u06cc\u06a9 \u0622\u0645\u0627\u0631 \u062e\u0644\u0627\u0635\u0647 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u06cc\u06a9 \u0645\u0646\u0637\u0642\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u062f.<\/p>\n<p>\u062e\u0644\u0627\u0635\u0647 \u06a9\u0631\u062f\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u06cc\u06a9 \u0645\u0646\u0637\u0642\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 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decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/introduction-to-transfer-learning-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u06cc\u062f\u0647 \u067e\u0634\u062a <strong><em>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc<\/em><\/strong>  \u062f\u0631 \u062d\u0627\u0644 \u06af\u0631\u0641\u062a\u0646 \u06cc\u06a9 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u06cc\u06a9 \u06a9\u0627\u0631 \u0648 \u0627\u0639\u0645\u0627\u0644 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u062f\u0648\u0645 \u0645\u0634\u0627\u0628\u0647.  \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u06a9\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0642\u0628\u0644\u0627\u064b \u0628\u0631\u062e\u06cc \u06cc\u0627 \u0647\u0645\u0647 \u0648\u0632\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u062f\u0648\u0645 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\u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0628\u0647 \u0644\u0637\u0641 \u062d\u062c\u0645 \u06af\u0633\u062a\u0631\u062f\u0647 \u0645\u0646\u0627\u0628\u0639 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0648 \u0632\u0645\u0627\u0646 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0648 \u067e\u06cc\u0686\u06cc\u062f\u0647\u060c \u0628\u0647 \u0637\u0648\u0631 \u0641\u0632\u0627\u06cc\u0646\u062f\u0647 \u0627\u06cc \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u062d\u0628\u0648\u0628 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u0627\u0648\u0644\u06cc\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u062f\u0644\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631 \u0622\u0645\u0648\u062e\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u06a9\u0644\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0645\u062e\u062a\u0635 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631 \u0646\u06cc\u0633\u062a\u0646\u062f.  \u062f\u0631 \u0639\u0645\u0644\u060c \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0646\u0648\u0627\u0639 \u062e\u0627\u0635\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647\u200c\u0627\u0646\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u06cc\u06af\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062c\u062f\u062f \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u0646\u062f\u060c \u062a\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0645\u0634\u0627\u0628\u0647 \u0628\u0627\u0634\u0646\u062f.<\/p>\n<h2 id=\"transferlearningtheory\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%a6%d9%88%d8%b1%db%8c_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c_%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84%db%8c\"><\/span>\u062a\u0626\u0648\u0631\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0645\u0641\u0647\u0648\u0645 \u0645\u0647\u0645 \u062f\u0627\u0631\u062f.  \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0627\u062c\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644\u060c \u0628\u0627\u06cc\u062f \u0628\u0647 \u0627\u06cc\u0646 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u06a9\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0648 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0634\u0645\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u062f\u0648 \u0631\u0627\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u062e\u0648\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f\u060c \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u0633\u0627\u062e\u062a\u0627\u0631 \u0645\u062f\u0644 \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0639\u062f\u0627\u064b \u0627\u0632 \u0645\u062f\u0644 \u0645\u062c\u062f\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0631\u0627\u0647 \u062f\u0648\u0645 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0642\u0628\u0644 \u0645\u0648\u062c\u0648\u062f \u0631\u0627 \u0628\u06af\u06cc\u0631\u06cc\u062f \u0648 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0646 \u0631\u0627 \u062f\u0631 \u062d\u06cc\u0646 \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0627\u0635\u0644\u0627\u062d \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0639\u062f \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u062a\u0635\u0645\u06cc\u0645 \u06af\u0631\u0641\u062a\u06cc\u062f \u0627\u0632 \u0686\u0647 \u0631\u0648\u06cc\u06a9\u0631\u062f\u06cc \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f (\u0627\u06af\u0631 \u0627\u0632 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f).<\/p>\n<p>\u0627\u0646\u0648\u0627\u0639 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 PyTorch \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f.  \u0628\u0631\u062e\u06cc \u0627\u0632 CNN \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632:<\/p>\n<ul>\n<li>\u0627\u0644\u06a9\u0633 \u0646\u062a<\/li>\n<li>CaffeResNet<\/li>\n<li>\u0622\u063a\u0627\u0632<\/li>\n<li>\u0633\u0631\u06cc ResNet<\/li>\n<li>\u0633\u0631\u06cc VGG<\/li>\n<\/ul>\n<p>\u0627\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 API PyTorch \u0642\u0627\u0628\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u062f\u0631 \u0635\u0648\u0631\u062a \u0622\u0645\u0648\u0632\u0634\u060c PyTorch \u0645\u0634\u062e\u0635\u0627\u062a \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u062f\u0633\u062a\u06af\u0627\u0647 \u0634\u0645\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0645\u06cc \u06a9\u0646\u062f.  \u0645\u062f\u0644 \u062e\u0627\u0635\u06cc \u06a9\u0647 \u0642\u0631\u0627\u0631 \u0627\u0633\u062a \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a <em>ResNet34<\/em>\u060c \u0628\u062e\u0634\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 Resnet.<\/p>\n<p>\u0631\u0627 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/1512.03385\">Resnet<\/a> \u0645\u062f\u0644 \u062a\u0648\u0633\u0639\u0647 \u0648 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f \u0631\u0648\u06cc \u06cc\u06a9 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/www.image-net.org\/\">ImageNet<\/a> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.cs.toronto.edu\/~kriz\/cifar.html\">CIFAR-10<\/a> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647  \u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0628\u0635\u0631\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u067e\u06cc\u0634\u0631\u0641\u062a \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0633\u0631\u06cc VGG \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062f\u06cc\u06af\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0648 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0627 \u0622\u0646\u0647\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u06af\u0648\u0646\u0647 \u0622\u0646\u0647\u0627 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0633\u062a\u0646\u062f\u0627\u062a PyTorch \u0631\u0648\u06cc <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pytorch.org\/tutorials\/beginner\/finetuning_torchvision_models_tutorial.html\">\u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f<\/a>\u060c \u062f\u0648 \u0631\u0648\u0634 \u0639\u0645\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f: \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u06cc\u06a9 CNN \u06cc\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 CNN \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u0646\u062f\u0647 \u0648\u06cc\u0698\u06af\u06cc \u062b\u0627\u0628\u062a.<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u06cc\u06a9 CNN\u060c \u0627\u0632 \u0648\u0632\u0646\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a \u0628\u0647 \u062c\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u062a\u0635\u0627\u062f\u0641\u06cc \u0622\u0646\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u0648 \u0633\u067e\u0633 \u0645\u0627\u0646\u0646\u062f \u062d\u0627\u0644\u062a \u0639\u0627\u062f\u06cc \u062a\u0645\u0631\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u062f.  \u062f\u0631 \u0645\u0642\u0627\u0628\u0644\u060c \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u062a\u0645\u0627\u0645 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc CNN \u0631\u0627 \u062d\u0641\u0638 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f\u060c \u0628\u0647 \u062c\u0632 \u0645\u0648\u0627\u0631\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0622\u062e\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u06a9\u0647 \u0628\u0647\u200c\u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0648 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0639\u0645\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/p>\n<p>\u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u06cc\u06a9 \u0645\u062f\u0644 \u0645\u0647\u0645 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0627\u06af\u0631\u0686\u0647 \u0645\u062f\u0644 \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u06cc\u06a9 \u06a9\u0627\u0631 \u0645\u062a\u0641\u0627\u0648\u062a (\u0647\u0631 \u0686\u0646\u062f \u0627\u0645\u06cc\u062f\u0648\u0627\u0631\u0645 \u0645\u0634\u0627\u0628\u0647).  \u0648\u0632\u0646\u0647 \u0647\u0627\u06cc \u0645\u062a\u0635\u0644 \u0645\u062a\u0631\u0627\u06a9\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0627 \u0622\u0646 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u062a\u0627 \u062d\u062f\u0648\u062f\u06cc \u0628\u0631\u0627\u06cc \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0634\u0645\u0627 \u0646\u0627\u06a9\u0627\u0641\u06cc \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0622\u062e\u0631 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0645\u062c\u062f\u062f\u0627\u064b \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0645\u0642\u0627\u0628\u0644\u060c \u0686\u0648\u0646 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0627\u0648\u0644 \u0634\u0628\u06a9\u0647 \u0641\u0642\u0637 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u0634\u0627\u0628\u0647\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0627\u0634\u062a \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u0622\u0646\u0647\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0647\u0633\u062a\u0646\u062f \u0631\u0647\u0627 \u06a9\u0631\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u06af\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06a9\u0648\u0686\u06a9 \u0648 \u0645\u0634\u0627\u0628\u0647 \u0628\u0627\u0634\u062f\u060c \u062a\u0646\u0647\u0627 \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f \u0622\u0645\u0648\u0632\u0634 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a.  \u0647\u0631\u0686\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0632\u0631\u06af\u062a\u0631 \u0648 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u062a\u0631 \u0634\u0648\u062f\u060c \u0645\u062f\u0644 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0645\u062c\u062f\u062f \u0628\u06cc\u0634\u062a\u0631\u06cc \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.  \u0628\u0647 \u06cc\u0627\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0632\u0645\u0627\u0646\u06cc \u0628\u0647\u062a\u0631\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0627\u0632 \u0645\u062f\u0644 \u0627\u0635\u0644\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0627\u0634\u062f \u0648 \u0634\u0628\u06cc\u0647 \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u06a9\u0627\u0631 \u0628\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0631 Pytorch \u0628\u0647 \u0645\u0639\u0646\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0627\u0633\u062a <em>\u06cc\u062e \u0632\u062f\u06af\u06cc<\/em> \u0648 \u0628\u0647 \u06a9\u062f\u0627\u0645 <em>\u0645\u0646\u062c\u0645\u062f \u06a9\u0631\u062f\u0646<\/em>.  \u0641\u0631\u06cc\u0632 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 PyTorch \u0628\u06af\u0648\u06cc\u06cc\u062f \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 (\u0648\u0632\u0646 \u0647\u0627) \u0631\u0627 \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0645\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u062d\u0641\u0638 \u06a9\u0646\u062f.  \u0627\u0646\u062c\u0645\u0627\u062f \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 PyTorch \u0628\u06af\u0648\u06cc\u06cc\u062f \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0628\u0627\u0634\u0646\u062f \u0648 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc\u0634\u0627\u0646 \u0642\u0627\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u0628\u0627\u0634\u0646\u062f.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u067e\u0627\u06cc\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u062e\u0648\u062f \u0627\u0632 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u062a\u0645\u0631\u06cc\u0646 \u0634\u062f\u0647\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0648\u0632\u0646\u0647 \u0647\u0627\u06cc \u062a\u0627\u0632\u0647 \u062a\u0645\u0631\u06cc\u0646 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f.  \u062d\u062a\u06cc \u0627\u06af\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0627\u0632 \u0648 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u0634\u062f\u060c \u0647\u0646\u0648\u0632 \u0647\u0645 \u0632\u0645\u0627\u0646 \u0645\u06cc\u200c\u0628\u0631\u062f \u062a\u0627 \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u0632\u0646\u0647\u200c\u0647\u0627\u06cc \u0645\u062f\u0644 \u0631\u0627 \u06a9\u067e\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"imageclassificationwithtransferlearninginpytorch\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%d8%aa%d8%b5%d8%a7%d9%88%db%8c%d8%b1_%d8%a8%d8%a7_%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d8%a7%d9%86%d8%aa%d9%82%d8%a7%d9%84_%d8%af%d8%b1_pytorch\"><\/span>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0631 PyTorch<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0627 \u0622\u0645\u0627\u062f\u0647 \u0634\u0631\u0648\u0639 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u0647\u0633\u062a\u06cc\u0645 \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647  \u0645\u0627 \u0647\u0645 \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 ConvNet \u0648 \u0647\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u0646\u062f\u0647 \u0648\u06cc\u0698\u06af\u06cc \u062b\u0627\u0628\u062a \u067e\u0648\u0634\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.<\/p>\n<h3 id=\"datapreprocessing\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0648\u0644 \u0627\u0632 \u0647\u0645\u0647\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062a\u0635\u0645\u06cc\u0645 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0686\u06cc\u0632\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0648\u0627\u0636\u062d\u06cc \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u0631\u0648\u06cc.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06af\u0631\u0628\u0647\u200c\u0647\u0627 \u0648 \u0633\u06af\u200c\u0647\u0627\u06cc \u0627\u0633\u062a\u0646\u0641\u0648\u0631\u062f \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0631\u0627\u06cc\u062c \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0633\u0627\u062f\u0647 \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u06af\u0648\u06cc\u0627 \u0628\u0648\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0631\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/c\/dogs-vs-cats\/data\">\u062f\u0631\u0633\u062a \u0647\u0645\u06cc\u0646 \u062c\u0627<\/a>.<\/p>\n<p>\u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u062f \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u062f\u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u0633\u0627\u0648\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f: &#8220;train&#8221; \u0648 &#8220;val&#8221;.<\/p>\n<p>\u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0647\u0631 \u0637\u0648\u0631 \u06a9\u0647 \u062f\u0648\u0633\u062a \u062f\u0627\u0631\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f\u060c \u0628\u0627 \u062c\u0627\u0628\u062c\u0627\u06cc\u06cc \u062f\u0633\u062a\u06cc \u0641\u0627\u06cc\u0644 \u0647\u0627 \u06cc\u0627 \u0646\u0648\u0634\u062a\u0646 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0622\u0646.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0645\u062d\u062f\u0648\u062f \u06a9\u0646\u06cc\u062f\u060c \u0632\u06cc\u0631\u0627 \u0628\u0627 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b 12000 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0647\u0631 \u062f\u0633\u062a\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0645\u06cc \u0628\u0631\u062f.  \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u06cc\u0646 \u0639\u062f\u062f \u0631\u0627 \u0628\u0647 \u062d\u062f\u0648\u062f 5000 \u062f\u0631 \u0647\u0631 \u062f\u0633\u062a\u0647 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u062f \u0648 1000 \u0639\u062f\u062f \u0628\u0631\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u06a9\u0646\u0627\u0631 \u06af\u0630\u0627\u0634\u062a\u0647 \u0634\u0648\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u062a\u0639\u062f\u0627\u062f \u062a\u0635\u0627\u0648\u06cc\u0631\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627 \u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u0631\u0627\u0647 \u0628\u0631\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> os\n<span class=\"hljs-keyword\">import<\/span> shutil\n<span class=\"hljs-keyword\">import<\/span> re\n\nbase_dir = <span class=\"hljs-string\">\"PetImages\/\"<\/span>\n\n\nfiles = os.listdir(base_dir)\n\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">train_maker<\/span>(<span class=\"hljs-params\">name<\/span>):<\/span>\n  train_dir = <span class=\"hljs-string\">f\"<span class=\"hljs-subst\">{base_dir}<\/span>\/train\/<span class=\"hljs-subst\">{name}<\/span>\"<\/span>\n  <span class=\"hljs-keyword\">for<\/span> f <span class=\"hljs-keyword\">in<\/span> files:\n        search_object = re.search(name, f)\n        <span class=\"hljs-keyword\">if<\/span> search_object:\n          shutil.move(<span class=\"hljs-string\">f'<span class=\"hljs-subst\">{base_dir}<\/span>\/<span class=\"hljs-subst\">{name}<\/span>'<\/span>, train_dir)\n\ntrain_maker(<span class=\"hljs-string\">\"Cat\"<\/span>)\ntrain_maker(<span class=\"hljs-string\">\"Dog\"<\/span>)\n\n\n<span class=\"hljs-keyword\">try<\/span>:\n    os.makedirs(<span class=\"hljs-string\">\"val\/Cat\"<\/span>)\n    os.makedirs(<span class=\"hljs-string\">\"val\/Dog\"<\/span>)\n<span class=\"hljs-keyword\">except<\/span> OSError:\n    <span class=\"hljs-built_in\">print<\/span> (<span class=\"hljs-string\">\"Creation of the directory %s failed\"<\/span>)\n<span class=\"hljs-keyword\">else<\/span>:\n    <span class=\"hljs-built_in\">print<\/span> (<span class=\"hljs-string\">\"Successfully created the directory %s \"<\/span>)\n\n\n\ncat_train = base_dir + <span class=\"hljs-string\">\"train\/Cat\/\"<\/span>\ncat_val = base_dir + <span class=\"hljs-string\">\"val\/Cat\/\"<\/span>\ndog_train = base_dir + <span class=\"hljs-string\">\"train\/Dog\/\"<\/span>\ndog_val = base_dir + <span class=\"hljs-string\">\"val\/Dog\/\"<\/span>\n\ncat_files = os.listdir(cat_train)\ndog_files = os.listdir(dog_train)\n\n\n\n\n<span class=\"hljs-keyword\">for<\/span> f <span class=\"hljs-keyword\">in<\/span> cat_files:\n    validationCatsSearchObj = re.search(<span class=\"hljs-string\">\"5\\d\\d\\d\"<\/span>, f)\n    <span class=\"hljs-keyword\">if<\/span> validationCatsSearchObj:\n        shutil.move(<span class=\"hljs-string\">f'<span class=\"hljs-subst\">{cat_train}<\/span>\/<span class=\"hljs-subst\">{f}<\/span>'<\/span>, cat_val)\n\n<span class=\"hljs-keyword\">for<\/span> f <span class=\"hljs-keyword\">in<\/span> dog_files:\n    validationCatsSearchObj = re.search(<span class=\"hljs-string\">\"5\\d\\d\\d\"<\/span>, f)\n    <span class=\"hljs-keyword\">if<\/span> validationCatsSearchObj:\n        shutil.move(<span class=\"hljs-string\">f'<span class=\"hljs-subst\">{dog_train}<\/span>\/<span class=\"hljs-subst\">{f}<\/span>'<\/span>, dog_val)\n<\/code><\/pre>\n<h3 id=\"loadingthedata\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%b1_%d8%ad%d8%a7%d9%84_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u067e\u0633 \u0627\u0632 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062a\u0645\u0627\u0645 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0634\u0631\u0648\u0639 \u0628\u0647 \u06a9\u0627\u0631 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0628\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc Torch \u0646\u06cc\u0627\u0632 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a <code>nn<\/code> \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc\u060c \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u0647\u0627 \u0648 <code>DataLoaders<\/code>.  \u0645\u0627 \u0646\u06cc\u0632 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 <code>matplotlib<\/code> \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627.<\/p>\n<p>\u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645 <code>numpy<\/code> \u0628\u0631\u0627\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0627\u06cc\u062c\u0627\u062f \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0686\u0646\u062f \u0645\u0627\u0698\u0648\u0644 \u0645\u062a\u0641\u0631\u0642\u0647 \u062f\u06cc\u06af\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> __future__ <span class=\"hljs-keyword\">import<\/span> print_function, division\n\n<span class=\"hljs-keyword\">import<\/span> torch\n<span class=\"hljs-keyword\">import<\/span> torch.nn <span class=\"hljs-keyword\">as<\/span> nn\n<span class=\"hljs-keyword\">import<\/span> torch.optim <span class=\"hljs-keyword\">as<\/span> optim\n<span class=\"hljs-keyword\">from<\/span> torch.optim <span class=\"hljs-keyword\">import<\/span> lr_scheduler\n<span class=\"hljs-keyword\">import<\/span> torchvision\n<span class=\"hljs-keyword\">from<\/span> torchvision <span class=\"hljs-keyword\">import<\/span> datasets, models, transforms\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> time\n<span class=\"hljs-keyword\">import<\/span> os\n<span class=\"hljs-keyword\">import<\/span> copy\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062a\u0648\u0633\u0637 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062e\u0648\u062f \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0627\u0632 Pytorch \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>transforms<\/code> \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0646\u0638\u0648\u0631.  \u0645\u0627 \u0628\u0627\u06cc\u062f \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u0645 \u06a9\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u06cc\u06a9 \u0627\u0646\u062f\u0627\u0632\u0647 \u0647\u0633\u062a\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>transforms.Resize<\/code>.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u06a9\u0645\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062a\u0642\u0648\u06cc\u062a \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0633\u0639\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0648\u0627\u062f\u0627\u0631 \u06a9\u0631\u062f\u0646 \u0622\u0646 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0632\u0648\u0627\u06cc\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0648 \u0628\u0631\u0634\u200c\u0647\u0627 \u0628\u0647\u0628\u0648\u062f \u062f\u0647\u06cc\u0645\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0647\u200c\u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u0648 \u0645\u06cc\u200c\u0686\u0631\u062e\u0627\u0646\u06cc\u0645.<\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0645\u0627 \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u0645\u06cc\u200c\u0633\u0627\u0632\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 PyTorch \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0639\u0627\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u06a9\u0647 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u06a9\u0627\u0631 \u06a9\u0646\u062f \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062e\u062a\u0644\u0641 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f.<\/p>\n<p>\u0633\u067e\u0633 \u0645\u0627 <code>compose<\/code> \u0647\u0645\u0647 \u062f\u06af\u0631\u06af\u0648\u0646\u06cc \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0645\u0627  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u062a\u0628\u062f\u06cc\u0644\u200c\u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0647\u06cc\u0686 \u06af\u0648\u0646\u0647 \u0686\u0631\u062e\u0634\u06cc \u06cc\u0627 \u0686\u0631\u062e\u0634\u06cc \u0646\u062f\u0627\u0631\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0628\u062e\u0634\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627 \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646\u0647\u0627 \u06cc\u0627\u062f \u0646\u0645\u06cc\u200c\u06af\u06cc\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">\n\n\nmean_nums = (<span class=\"hljs-number\">0.485<\/span>, <span class=\"hljs-number\">0.456<\/span>, <span class=\"hljs-number\">0.406<\/span>)\nstd_nums = (<span class=\"hljs-number\">0.229<\/span>, <span class=\"hljs-number\">0.224<\/span>, <span class=\"hljs-number\">0.225<\/span>)\n\nchosen_transforms = {<span class=\"hljs-string\">'train'<\/span>: transforms.Compose((\n        transforms.RandomResizedCrop(size=<span class=\"hljs-number\">256<\/span>),\n        transforms.RandomRotation(degrees=<span class=\"hljs-number\">15<\/span>),\n        transforms.RandomHorizontalFlip(),\n        transforms.ToTensor(),\n        transforms.Normalize(mean_nums, std_nums)\n)), <span class=\"hljs-string\">'val'<\/span>: transforms.Compose((\n        transforms.Resize(<span class=\"hljs-number\">256<\/span>),\n        transforms.CenterCrop(<span class=\"hljs-number\">224<\/span>),\n        transforms.ToTensor(),\n        transforms.Normalize(mean_nums, std_nums)\n)),\n}\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0627\u0632 PyTorch \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>ImageFolder<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u06cc\u062c\u0627\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627:<\/p>\n<pre><code class=\"hljs\">\ndata_dir = <span class=\"hljs-string\">'\/data\/'<\/span>\n\n\nchosen_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n  chosen_transforms(x))\n                  <span class=\"hljs-keyword\">for<\/span> x <span class=\"hljs-keyword\">in<\/span> (<span class=\"hljs-string\">'train'<\/span>, <span class=\"hljs-string\">'val'<\/span>)}\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u067e\u0648\u0634\u0647 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u062e\u0648\u062f \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.datascience.com\/blog\/transfer-learning-in-pytorch-part-one\" class=\"broken_link\">\u0627\u0632 DataLoader \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/a> \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0627\u0634\u06cc\u0627\u0621 \u062a\u06a9\u0631\u0627\u0631\u067e\u0630\u06cc\u0631 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0645\u0627.  \u0645\u0627 \u0628\u0647 \u0622\u0646 \u0645\u06cc \u06af\u0648\u06cc\u06cc\u0645 \u06a9\u0647 \u0627\u0632 \u0686\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0628\u0647 \u0622\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u0633\u062a\u0647 \u0627\u06cc \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0647\u0645 \u0645\u06cc \u0632\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">\ndataloaders = {x: torch.utils.data.DataLoader(chosen_datasets(x), batch_size=<span class=\"hljs-number\">4<\/span>,\n  shuffle=<span class=\"hljs-literal\">True<\/span>, num_workers=<span class=\"hljs-number\">4<\/span>)\n              <span class=\"hljs-keyword\">for<\/span> x <span class=\"hljs-keyword\">in<\/span> (<span class=\"hljs-string\">'train'<\/span>, <span class=\"hljs-string\">'val'<\/span>)}\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0627\u06cc\u062f \u0628\u0631\u062e\u06cc \u0627\u0632 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u062d\u0641\u0638 \u06a9\u0646\u06cc\u0645\u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627\u06cc\u062f \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0627 \u0686\u0647 \u0646\u0648\u0639 \u062f\u0633\u062a\u06af\u0627\u0647\u06cc \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c CPU \u06cc\u0627 GPU.  \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0632\u06cc\u0631 \u062f\u0631 \u0635\u0648\u0631\u062a \u0648\u062c\u0648\u062f \u0627\u0632 GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f\u060c \u062f\u0631 \u063a\u06cc\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a \u0627\u0632 CPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">dataset_sizes = {x: <span class=\"hljs-built_in\">len<\/span>(chosen_datasets(x)) <span class=\"hljs-keyword\">for<\/span> x <span class=\"hljs-keyword\">in<\/span> (<span class=\"hljs-string\">'train'<\/span>, <span class=\"hljs-string\">'val'<\/span>)}\nclass_names = chosen_datasets(<span class=\"hljs-string\">'train'<\/span>).classes\n\ndevice = torch.device(<span class=\"hljs-string\">\"cuda\"<\/span> <span class=\"hljs-keyword\">if<\/span> torch.cuda.is_available() <span class=\"hljs-keyword\">else<\/span> <span class=\"hljs-string\">\"cpu\"<\/span>)\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0639\u06cc \u06a9\u0646\u06cc\u0645 \u0628\u0631\u062e\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u06cc\u06a9 \u0648\u0631\u0648\u062f\u06cc \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 Numpy \u0627\u0632 \u0622\u0646 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u062c\u0627\u0628\u0647 \u062c\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0633\u067e\u0633 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0646\u0631\u0645\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0628\u06cc\u0646 0 \u0648 1 \u0628\u0631\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u062a\u0627 \u0645\u062d\u062f\u0648\u062f\u0647 \u0648\u0633\u06cc\u0639\u06cc \u062f\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06a9\u0646 \u0622\u0631\u0627\u06cc\u0647 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0648 \u0633\u067e\u0633 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-classification-with-pytorch-transfer-learning-in-python-1.png\" alt=\"\" title=\"\"><\/p>\n<pre><code class=\"hljs\">\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">imshow<\/span>(<span class=\"hljs-params\">inp, title=<span class=\"hljs-literal\">None<\/span><\/span>):<\/span>\n    inp = inp.numpy().transpose((<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">0<\/span>))\n    mean = np.array((mean_nums))\n    std = np.array((std_nums))\n    inp = std * inp + mean\n    inp = np.clip(inp, <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">1<\/span>)\n    plt.imshow(inp)\n    <span class=\"hljs-keyword\">if<\/span> title <span class=\"hljs-keyword\">is<\/span> <span class=\"hljs-keyword\">not<\/span> <span class=\"hljs-literal\">None<\/span>:\n        plt.title(title)\n    plt.pause(<span class=\"hljs-number\">0.001<\/span>)  \n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0632 \u0622\u0646 \u062a\u0627\u0628\u0639 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0648 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0628\u0631\u062e\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645.  \u0648\u0631\u0648\u062f\u06cc \u0647\u0627 \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0622\u0646 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>DataLoader<\/code> \u0648 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0639\u062f\u06cc \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f.  \u0633\u067e\u0633 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0648\u0631\u0648\u062f\u06cc \u0647\u0627 \u0645\u06cc \u0633\u0627\u0632\u06cc\u0645 \u0631\u0648\u06cc \u0648 \u0646\u0645\u0627\u06cc\u0634 \u0622\u0646\u0647\u0627:<\/p>\n<pre><code class=\"hljs\">\ninputs, classes = <span class=\"hljs-built_in\">next<\/span>(<span class=\"hljs-built_in\">iter<\/span>(dataloaders(<span class=\"hljs-string\">'train'<\/span>)))\n\n\nout = torchvision.utils.make_grid(inputs)\n\nimshow(out, title=(class_names(x) <span class=\"hljs-keyword\">for<\/span> x <span class=\"hljs-keyword\">in<\/span> classes))\n<\/code><\/pre>\n<h3 id=\"settingupapretrainedmodel\"><span class=\"ez-toc-section\" id=\"%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c_%db%8c%da%a9_%d9%85%d8%af%d9%84_%d8%a7%d8%b2_%d9%be%db%8c%d8%b4_%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d8%af%db%8c%d8%af%d9%87\"><\/span>\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0628\u0627\u06cc\u062f \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647\u200c\u0627\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u0645.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u0645\u0627 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0647\u0633\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0648 \u0644\u0627\u06cc\u0647 \u0646\u0647\u0627\u06cc\u06cc \u06a9\u0627\u0645\u0644\u0627 \u0645\u062a\u0635\u0644 \u0631\u0627 \u0628\u0627\u0632\u0646\u0634\u0627\u0646\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0648 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0622\u0646 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647\u060c PyTorch \u0645\u062f\u0644 \u0631\u0627 \u0628\u0647\u200c\u0637\u0648\u0631 \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 unfrozen \u0634\u0648\u062f (\u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0622\u0646 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f).  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u06a9\u0644 \u0645\u062f\u0644 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f:<\/p>\n<pre><code class=\"hljs\">\n\n\nres_mod = models.resnet34(pretrained=<span class=\"hljs-literal\">True<\/span>)\n\nnum_ftrs = res_mod.fc.in_features\nres_mod.fc = nn.Linear(num_ftrs, <span class=\"hljs-number\">2<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0627\u06cc\u0646 \u0647\u0646\u0648\u0632 \u062a\u0627 \u062d\u062f\u0648\u062f\u06cc \u0646\u0627\u0645\u0634\u062e\u0635 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f\u060c \u062a\u062c\u0633\u0645 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u062f\u0644 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06a9 \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> name, child <span class=\"hljs-keyword\">in<\/span> res_mod.named_children():\n    <span class=\"hljs-built_in\">print<\/span>(name)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">conv1\nbn1\nrelu\nmaxpool\nlayer1\nlayer2\nlayer3\nlayer4\navgpool\nfc\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0628\u062e\u0634 \u067e\u0627\u06cc\u0627\u0646\u06cc \u0627\u0633\u062a <code>fc<\/code>\u060c \u06cc\u0627 &#8220;\u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0635\u0644&#8221;.  \u0627\u06cc\u0646 \u062a\u0646\u0647\u0627 \u0644\u0627\u06cc\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0634\u06a9\u0644 \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u062f\u0648 \u06a9\u0644\u0627\u0633 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0627\u0633\u0627\u0633\u0627\u064b\u060c \u0645\u0627 \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627\u06cc \u0628\u062e\u0634 \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0635\u0644 \u0646\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0641\u0642\u0637 \u0628\u0647 \u062f\u0648 \u06a9\u0644\u0627\u0633 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u0648 \u0648\u0632\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0645 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0628\u0627\u06cc\u062f \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a\u06af\u0627\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627\u06cc\u062f \u0645\u0639\u06cc\u0627\u0631 \u0636\u0631\u0631 \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0627 \u0645\u062f\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u0645. <code>CrossEntropyLoss<\/code> \u0648 <code>SGD<\/code> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u0647\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0647\u0627\u06cc \u062e\u0648\u0628\u06cc \u0647\u0633\u062a\u0646\u062f\u060c \u0627\u06af\u0631\u0686\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u062f\u06cc\u06af\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u06cc\u06a9 \u0632\u0645\u0627\u0646\u200c\u0628\u0646\u062f\u06cc \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u06a9\u0647 \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0636\u0627\u0641\u0647\u200c\u06a9\u0627\u0631\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0628\u0647 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0639\u062f\u0645 \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0646\u0631\u062e\u200c\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631\u0628\u0627\u0631\u0647 \u0632\u0645\u0627\u0646\u200c\u0628\u0646\u062f\u06cc\u200c\u0647\u0627\u06cc \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u062f\u0627\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.deeplearningwizard.com\/deep_learning\/boosting_models_pytorch\/lr_scheduling\/\">\u0627\u06cc\u0646\u062c\u0627<\/a> \u0627\u06af\u0631 \u06a9\u0646\u062c\u06a9\u0627\u0648 \u0647\u0633\u062a\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">res_mod = res_mod.to(device)\ncriterion = nn.CrossEntropyLoss()\n\n\noptimizer_ft = optim.SGD(res_mod.parameters(), lr=<span class=\"hljs-number\">0.001<\/span>, momentum=<span class=\"hljs-number\">0.9<\/span>)\n\n\nexp_lr_scheduler = lr_scheduler.StepLR(optimizer_ft, step_size=<span class=\"hljs-number\">7<\/span>, gamma=<span class=\"hljs-number\">0.1<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u062a\u0648\u0627\u0628\u0639\u06cc \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f \u0648 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627 \u0631\u0627 \u062a\u062c\u0633\u0645 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0645\u0648\u0632\u0634\u06cc \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645.  \u0645\u062f\u0644 \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0645\u0627 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u060c \u0645\u0639\u06cc\u0627\u0631 \u0648 \u0632\u0645\u0627\u0646\u200c\u0628\u0646\u062f\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0645\u0627 \u0631\u0627 \u062f\u0631 \u0628\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u062f\u0648\u0631\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0647\u0631 \u062f\u0648\u0631\u0647 \u06cc\u06a9 \u0645\u0631\u062d\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0639\u062a\u0628\u0627\u0631 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.  \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646\u060c \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u0632\u0646\u0647 \u0647\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0645\u062f\u0644 \u0631\u0627 \u0631\u0648\u06cc \u0648\u0632\u0646 \u0647\u0627\u06cc \u062d\u0627\u0644\u062a \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u06cc\u0645 <code>state_dict<\/code>.<\/p>\n<p>\u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0648\u0631\u0647 \u062f\u0631 \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647\u060c \u0627\u06af\u0631 \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u0628\u0627\u0634\u06cc\u0645\u060c \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a:<\/p>\n<ol>\n<li>\u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u062f<\/li>\n<li>\u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0647\u0627 \u0631\u0627 \u0635\u0641\u0631 \u06a9\u0646\u06cc\u062f<\/li>\n<li>\u067e\u0627\u0633 \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0648 \u0628\u0647 \u062c\u0644\u0648 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f<\/li>\n<li>\u0636\u0631\u0631 \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0646\u06cc\u062f<\/li>\n<li>\u0627\u0646\u062a\u0634\u0627\u0631 \u0628\u0647 \u0639\u0642\u0628 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0648 \u0648\u0632\u0646 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0628\u0647 \u0631\u0648\u0632 \u06a9\u0646\u06cc\u062f<\/li>\n<\/ol>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0642\u062a \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u067e\u06cc\u06af\u06cc\u0631\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0648 \u0627\u06af\u0631 \u0628\u0647 \u0645\u0631\u062d\u0644\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0628\u0631\u0648\u06cc\u0645 \u0648 \u062f\u0642\u062a \u0628\u0647\u0628\u0648\u062f \u06cc\u0627\u0641\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0641\u0639\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">train_model<\/span>(<span class=\"hljs-params\">model, criterion, optimizer, scheduler, num_epochs=<span class=\"hljs-number\">10<\/span><\/span>):<\/span>\n    since = time.time()\n\n    best_model_wts = copy.deepcopy(model.state_dict())\n    best_acc = <span class=\"hljs-number\">0.0<\/span>\n\n    <span class=\"hljs-keyword\">for<\/span> epoch <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(num_epochs):\n        <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Epoch {}\/{}'<\/span>.<span class=\"hljs-built_in\">format<\/span>(epoch, num_epochs - <span class=\"hljs-number\">1<\/span>))\n        <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'-'<\/span> * <span class=\"hljs-number\">10<\/span>)\n\n        \n        <span class=\"hljs-keyword\">for<\/span> phase <span class=\"hljs-keyword\">in<\/span> (<span class=\"hljs-string\">'train'<\/span>, <span class=\"hljs-string\">'val'<\/span>):\n            <span class=\"hljs-keyword\">if<\/span> phase == <span class=\"hljs-string\">'train'<\/span>:\n                scheduler.step()\n                model.train()  \n            <span class=\"hljs-keyword\">else<\/span>:\n                model.<span class=\"hljs-built_in\">eval<\/span>()   \n\n            current_loss = <span class=\"hljs-number\">0.0<\/span>\n            current_corrects = <span class=\"hljs-number\">0<\/span>\n\n            \n            <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Iterating through data...'<\/span>)\n\n            <span class=\"hljs-keyword\">for<\/span> inputs, labels <span class=\"hljs-keyword\">in<\/span> dataloaders(phase):\n                inputs = inputs.to(device)\n                labels = labels.to(device)\n\n                \n                optimizer.zero_grad()\n\n                \n                \n                <span class=\"hljs-keyword\">with<\/span> torch.set_grad_enabled(phase == <span class=\"hljs-string\">'train'<\/span>):\n                    outputs = model(inputs)\n                    _, preds = torch.<span class=\"hljs-built_in\">max<\/span>(outputs, <span class=\"hljs-number\">1<\/span>)\n                    loss = criterion(outputs, labels)\n\n                    \n                    <span class=\"hljs-keyword\">if<\/span> phase == <span class=\"hljs-string\">'train'<\/span>:\n                        loss.backward()\n                        optimizer.step()\n\n                \n                current_loss += loss.item() * inputs.size(<span class=\"hljs-number\">0<\/span>)\n                current_corrects += torch.<span class=\"hljs-built_in\">sum<\/span>(preds == labels.data)\n\n            epoch_loss = current_loss \/ dataset_sizes(phase)\n            epoch_acc = current_corrects.double() \/ dataset_sizes(phase)\n\n            <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'{} Loss: {:.4f} Acc: {:.4f}'<\/span>.<span class=\"hljs-built_in\">format<\/span>(\n                phase, epoch_loss, epoch_acc))\n\n            \n            <span class=\"hljs-keyword\">if<\/span> phase == <span class=\"hljs-string\">'val'<\/span> <span class=\"hljs-keyword\">and<\/span> epoch_acc &gt; best_acc:\n                best_acc = epoch_acc\n                best_model_wts = copy.deepcopy(model.state_dict())\n\n        <span class=\"hljs-built_in\">print<\/span>()\n\n    time_since = time.time() - since\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Training complete in {:.0f}m {:.0f}s'<\/span>.<span class=\"hljs-built_in\">format<\/span>(\n        time_since \/\/ <span class=\"hljs-number\">60<\/span>, time_since % <span class=\"hljs-number\">60<\/span>))\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Best val Acc: {:4f}'<\/span>.<span class=\"hljs-built_in\">format<\/span>(best_acc))\n\n    \n    model.load_state_dict(best_model_wts)\n    <span class=\"hljs-keyword\">return<\/span> model\n<\/code><\/pre>\n<p>\u067e\u0631\u06cc\u0646\u062a \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627 \u0628\u0627\u06cc\u062f \u0686\u06cc\u0632\u06cc \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0628\u0627\u0634\u062f:<\/p>\n<pre><code class=\"hljs\">Epoch 0\/25\n----------\nIterating through data...\ntrain Loss: 0.5654 Acc: 0.7090\nIterating through data...\nval Loss: 0.2726 Acc: 0.8889\n\nEpoch 1\/25\n----------\nIterating through data...\ntrain Loss: 0.5975 Acc: 0.7090\nIterating through data...\nval Loss: 0.2793 Acc: 0.8889\n\nEpoch 2\/25\n----------\nIterating through data...\ntrain Loss: 0.5919 Acc: 0.7664\nIterating through data...\nval Loss: 0.3992 Acc: 0.8627\n<\/code><\/pre>\n<h3 id=\"visualization\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ac%d8%b3%d9%85\"><\/span>\u062a\u062c\u0633\u0645<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u062a\u0627\u0628\u0639\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u062f\u0644\u0645\u0627\u0646 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u0628\u0628\u06cc\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">visualize_model<\/span>(<span class=\"hljs-params\">model, num_images=<span class=\"hljs-number\">6<\/span><\/span>):<\/span>\n    was_training = model.training\n    model.<span class=\"hljs-built_in\">eval<\/span>()\n    images_handeled = <span class=\"hljs-number\">0<\/span>\n    fig = plt.figure()\n\n    <span class=\"hljs-keyword\">with<\/span> torch.no_grad():\n        <span class=\"hljs-keyword\">for<\/span> i, (inputs, labels) <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">enumerate<\/span>(dataloaders(<span class=\"hljs-string\">'val'<\/span>)):\n            inputs = inputs.to(device)\n            labels = labels.to(device)\n\n            outputs = model(inputs)\n            _, preds = torch.<span class=\"hljs-built_in\">max<\/span>(outputs, <span class=\"hljs-number\">1<\/span>)\n\n            <span class=\"hljs-keyword\">for<\/span> j <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(inputs.size()(<span class=\"hljs-number\">0<\/span>)):\n                images_handeled += <span class=\"hljs-number\">1<\/span>\n                ax = plt.subplot(num_images\/\/<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">2<\/span>, images_handeled)\n                ax.axis(<span class=\"hljs-string\">'off'<\/span>)\n                ax.set_title(<span class=\"hljs-string\">'predicted: {}'<\/span>.<span class=\"hljs-built_in\">format<\/span>(class_names(preds(j))))\n                imshow(inputs.cpu().data(j))\n\n                <span class=\"hljs-keyword\">if<\/span> images_handeled == num_images:\n                    model.train(mode=was_training)\n                    <span class=\"hljs-keyword\">return<\/span>\n        model.train(mode=was_training)\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0647\u0645\u0647 \u0686\u06cc\u0632 \u0631\u0627 \u0628\u0647 \u0647\u0645 \u06af\u0631\u0647 \u0628\u0632\u0646\u06cc\u0645.  \u0645\u0627 \u0645\u062f\u0644 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0645\u0627 \u0648 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-classification-with-pytorch-transfer-learning-in-python-2.png\" alt=\"\" title=\"\"><\/p>\n<pre><code class=\"hljs\">base_model = train_model(res_mod, criterion, optimizer_ft, exp_lr_scheduler, num_epochs=<span class=\"hljs-number\">3<\/span>)\nvisualize_model(base_model)\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0627\u0632 CPU \u0648 \u0646\u0647 GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0634\u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u06af\u0631\u0641\u062a.  \u062d\u062a\u06cc \u0627\u06af\u0631 \u0627\u0632 GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0627\u0632 \u0647\u0645 \u06a9\u0645\u06cc \u0637\u0648\u0644 \u0645\u06cc \u06a9\u0634\u062f.<\/p>\n<p>\u0628\u0647 \u062f\u0644\u06cc\u0644 \u0632\u0645\u0627\u0646 \u0637\u0648\u0644\u0627\u0646\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0627\u0641\u0631\u0627\u062f \u062a\u0631\u062c\u06cc\u062d \u0645\u06cc \u062f\u0647\u0646\u062f \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0627\u0632 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u0646\u062f\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u0646\u062f \u0648 \u0641\u0642\u0637 \u0622\u062e\u0631\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u0646\u062f.  \u0627\u06cc\u0646 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0632\u0645\u0627\u0646 \u062a\u0645\u0631\u06cc\u0646 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0628\u0627\u06cc\u062f \u0645\u062f\u0644\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u0627 \u0633\u0627\u062e\u062a\u0647 \u0627\u06cc\u0645 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u06a9\u0646\u06cc\u062f.  \u067e\u06cc\u0648\u0646\u062f\u06cc \u0628\u0647 \u0645\u062e\u0632\u0646 GitHub \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0648 \u0646\u0633\u062e\u0647 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc ResNet \u0648\u062c\u0648\u062f \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.<\/p>\n<p>\u0628\u062e\u0634\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062a\u0639\u0631\u06cc\u0641 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0627 \u0646\u0633\u062e\u0647 \u0627\u06cc \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0648\u0632\u0646 \u0647\u0627 \u0631\u0627 \u062b\u0627\u0628\u062a \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u06cc\u0627 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 \u0645\u0627 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0646\u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u0628\u0647 \u0646\u0638\u0631 \u06a9\u0627\u0645\u0644\u0627\u064b \u0634\u0628\u06cc\u0647 \u0642\u0628\u0644 \u0627\u0633\u062a\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062a\u0641\u0627\u0648\u062a \u06a9\u0647 \u0645\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0647\u0627 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0645\u062d\u0627\u0633\u0628\u0647 \u0646\u062f\u0627\u0631\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">\n\n\nres_mod = models.resnet34(pretrained=<span class=\"hljs-literal\">True<\/span>)\n<span class=\"hljs-keyword\">for<\/span> param <span class=\"hljs-keyword\">in<\/span> res_mod.parameters():\n    param.requires_grad = <span class=\"hljs-literal\">False<\/span>\n\nnum_ftrs = res_mod.fc.in_features\nres_mod.fc = nn.Linear(num_ftrs, <span class=\"hljs-number\">2<\/span>)\n\nres_mod = res_mod.to(device)\ncriterion = nn.CrossEntropyLoss()\n\n\n\n\noptimizer_ft = optim.SGD(res_mod.fc.parameters(), lr=<span class=\"hljs-number\">0.001<\/span>, momentum=<span class=\"hljs-number\">0.9<\/span>)\n\nexp_lr_scheduler = lr_scheduler.StepLR(optimizer_ft, step_size=<span class=\"hljs-number\">7<\/span>, gamma=<span class=\"hljs-number\">0.1<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0647 \u0637\u0648\u0631 \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u062d\u0627\u0644\u062a \u0627\u0646\u062c\u0645\u0627\u062f \u062e\u0627\u0631\u062c \u06a9\u0646\u06cc\u0645 \u0648 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0647\u0627 \u0631\u0627 \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0686\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0622\u06cc\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0627\u0633\u062a\u061f  \u0628\u0644\u0647 \u0647\u0645\u06cc\u0646\u0637\u0648\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f print \u062f\u0648\u0628\u0627\u0631\u0647 \u0628\u0686\u0647 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0628\u06cc\u0631\u0648\u0646 \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f \u062a\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f \u06a9\u0647 \u0686\u0647 \u0644\u0627\u06cc\u0647 \u0647\u0627 \/ \u0645\u0624\u0644\u0641\u0647 \u0647\u0627\u06cc\u06cc \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> name, child <span class=\"hljs-keyword\">in<\/span> res_mod.named_children():\n    <span class=\"hljs-built_in\">print<\/span>(name)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u0647\u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">conv1\nbn1\nrelu\nmaxpool\nlayer1\nlayer2\nlayer3\nlayer4\navgpool\nfc\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u0645\u06cc\u200c\u062f\u0627\u0646\u06cc\u0645 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627 \u0686\u06cc\u0633\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0632 \u062d\u0627\u0644\u062a \u0627\u0646\u062c\u0645\u0627\u062f \u062e\u0627\u0631\u062c \u06a9\u0646\u06cc\u0645\u060c \u0645\u0627\u0646\u0646\u062f \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u06f3 \u0648 \u06f4:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> name, child <span class=\"hljs-keyword\">in<\/span> res_mod.named_children():\n    <span class=\"hljs-keyword\">if<\/span> name <span class=\"hljs-keyword\">in<\/span> (<span class=\"hljs-string\">'layer3'<\/span>, <span class=\"hljs-string\">'layer4'<\/span>):\n        <span class=\"hljs-built_in\">print<\/span>(name + <span class=\"hljs-string\">'has been unfrozen.'<\/span>)\n        <span class=\"hljs-keyword\">for<\/span> param <span class=\"hljs-keyword\">in<\/span> child.parameters():\n            param.requires_grad = <span class=\"hljs-literal\">True<\/span>\n    <span class=\"hljs-keyword\">else<\/span>:\n        <span class=\"hljs-keyword\">for<\/span> param <span class=\"hljs-keyword\">in<\/span> child.parameters():\n            param.requires_grad = <span class=\"hljs-literal\">False<\/span>\n<\/code><\/pre>\n<p>\u0627\u0644\u0628\u062a\u0647\u060c \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627\u06cc\u062f \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0631\u0627 \u0628\u0647 \u0631\u0648\u0632 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u0631\u0627 \u0645\u0646\u0639\u06a9\u0633 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u0627 \u0641\u0642\u0637 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u062e\u0627\u0635\u06cc \u0631\u0627 \u0628\u0647\u06cc\u0646\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">optimizer_conv = torch.optim.SGD(<span class=\"hljs-built_in\">filter<\/span>(<span class=\"hljs-keyword\">lambda<\/span> x: x.requires_grad, res_mod.parameters()), lr=<span class=\"hljs-number\">0.001<\/span>, momentum=<span class=\"hljs-number\">0.9<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06a9\u0644 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f\u060c \u0641\u0642\u0637 \u0622\u062e\u0631\u06cc\u0646 \u0644\u0627\u06cc\u0647\u060c \u06cc\u0627 \u0686\u06cc\u0632\u06cc \u062f\u0631 \u0628\u06cc\u0646.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0628\u0631\u06cc\u06a9 \u0645\u06cc\u200c\u06af\u0648\u06cc\u06cc\u0645\u060c \u0634\u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u0631\u0627 \u062f\u0631 PyTorch \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f.  \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0627\u062c\u0631\u0627\u06cc \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u0646\u062f\u0647 \u0648\u06cc\u0698\u06af\u06cc \u062b\u0627\u0628\u062a \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u0686\u0642\u062f\u0631 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a.  \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0646\u062c\u0645\u0627\u062f \u0648 \u0628\u0627\u0632\u06a9\u0631\u062f\u0646 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u062e\u0627\u0635 \u0646\u06cc\u0632 \u062a\u0634\u0648\u06cc\u0642 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0632\u06cc\u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u062f\u0631\u06a9 \u0628\u0647\u062a\u0631\u06cc \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0628\u0627 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u062e\u0648\u062f \u0633\u0641\u0627\u0631\u0634\u06cc \u06a9\u0646\u06cc\u062f\u060c \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0648\u0627\u0631\u062f \u062f\u06cc\u06af\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f:<\/p>\n<ul>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f\u0627\u0645 \u06cc\u06a9 \u062f\u0631 \u0634\u0631\u0627\u06cc\u0637 \u0645\u062e\u062a\u0644\u0641 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0647\u062a\u0631\u06cc \u062f\u0627\u0631\u0646\u062f<\/li>\n<li>\u062a\u063a\u06cc\u06cc\u0631 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0647\u0627\u06cc \u0645\u062f\u0644\u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0646\u0638\u06cc\u0645 \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u062d\u0631\u06a9\u062a<\/li>\n<li>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0628\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u062f\u0648 \u06a9\u0644\u0627\u0633<\/li>\n<\/ul>\n<p>\u0627\u06af\u0631 \u06a9\u0646\u062c\u06a9\u0627\u0648 \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 \u062f\u0631\u0628\u0627\u0631\u0647 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0648 \u062a\u0626\u0648\u0631\u06cc \u067e\u0634\u062a \u0622\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u06a9\u0633\u0628 \u06a9\u0646\u06cc\u062f\u060c \u06cc\u06a9 \u062a\u0641\u06a9\u06cc\u06a9 \u0639\u0627\u0644\u06cc \u0627\u0632 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u067e\u0634\u062a \u0622\u0646 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<br \/><a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/ruder.io\/transfer-learning\/index.html#makingrepresentationsmoresimilar\/\" class=\"broken_link\">\u0627\u06cc\u0646\u062c\u0627<\/a>.<\/p>\n<p>\u06a9\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/github.com\/criticallycode\/programming-tutorials\/blob\/master\/pytorch_transfer_learning_feature_extractor\">\u0627\u06cc\u0646 \u0645\u062e\u0632\u0646 GitHub<\/a>.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-21 05:55:04<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16131&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 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u062a\u0642\u0627\u0644 \u0648 PyTorch&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&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: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/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: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 17<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u06cc \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0641\u0631\u062f \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u062f\u0627\u0646\u0634 \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0631\u062f\u0647 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0634\u06a9\u0644 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[&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16132,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620,1686],"tags":[],"class_list":["post-16131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming","category-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16131"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16131\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16132"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}