{"id":13341,"date":"2024-01-01T16:22:45","date_gmt":"2024-01-01T12:52:45","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/"},"modified":"2024-01-01T16:22:45","modified_gmt":"2024-01-01T12:52:45","slug":"%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/","title":{"rendered":"\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062f\u0631 \u0633\u0631\u0648\u06cc\u0633 TensorFlow"},"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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%b3%d8%b1%d9%88%db%8c%d8%b3_tensorflow\" >\u0633\u0631\u0648\u06cc\u0633 TensorFlow<\/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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%aa%d8%b5%d9%88%db%8c%d8%b1_%d8%a8%d8%a7_tensorflow_%d9%88_keras\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 TensorFlow \u0648 Keras<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%a7%db%8c%d8%ac%d8%a7%d8%af_%d9%85%d8%af%d9%84_%d8%a8%d8%a7_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88\" >\u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u0628\u0627 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d9%be%db%8c%d8%b4%da%af%d9%88%db%8c%db%8c\" >\u067e\u06cc\u0634\u06af\u0648\u06cc\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84\" >\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644<\/a><\/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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%a7%d8%b1%d8%a7%d8%a6%d9%87_%d9%85%d8%af%d9%84_%d8%a8%d8%a7_%d8%b3%d8%b1%d9%88%db%8c%d8%b3_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88_%d9%88_%d8%af%d8%a7%da%a9%d8%b1\" >\u0627\u0631\u0627\u0626\u0647 \u0645\u062f\u0644 \u0628\u0627 \u0633\u0631\u0648\u06cc\u0633 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0648 \u062f\u0627\u06a9\u0631<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d9%86%d8%b5%d8%a8_docker\" >\u0646\u0635\u0628 Docker<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%da%a9%d8%b4%db%8c%d8%af%d9%86_%d8%aa%d8%b5%d9%88%db%8c%d8%b1_%d8%b3%d8%b1%d9%88%db%8c%d8%b3_tf\" >\u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0633\u0631\u0648\u06cc\u0633 TF<\/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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%af%d8%b1_%d8%ae%d8%af%d9%85%d8%aa_%d9%85%d8%af%d9%84\" >\u062f\u0631 \u062e\u062f\u0645\u062a \u0645\u062f\u0644<\/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%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%d8%a7%d8%b1%d8%b3%d8%a7%d9%84_%d8%af%d8%b1%d8%ae%d9%88%d8%a7%d8%b3%d8%aa_%d9%88_%d8%af%d8%b1%db%8c%d8%a7%d9%81%d8%aa_%d9%be%d8%a7%d8%b3%d8%ae_%d8%a7%d8%b2_%d9%85%d8%af%d9%84\" >\u0627\u0631\u0633\u0627\u0644 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0648 \u062f\u0631\u06cc\u0627\u0641\u062a \u067e\u0627\u0633\u062e \u0627\u0632 \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a8%d8%a7%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%db%8c%da%a9-%d9%85%d8%af%d9%84-tensorflow-%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-%d8%af%d8%b1-%d8%b3\/#%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\"> 12<\/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>\u0634\u0645\u0627 \u0628\u062e\u0634\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0627\u06cc \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0622\u0646\u0686\u0647 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0633\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f &#8211; \u0645\u0627\u0646\u0646\u062f \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u060c \u0627\u0631\u062f\u06a9 \u0647\u0627\u060c \u06a9\u0648\u0647 \u0647\u0627\u060c \u0622\u0633\u0645\u0627\u0646\u060c \u062f\u0631\u062e\u062a\u0627\u0646 \u0648 \u063a\u06cc\u0631\u0647.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647\u060c \u062f\u0648 \u0686\u06cc\u0632 \u0645\u0647\u0645 \u0627\u0633\u062a &#8211; \u0627\u0648\u0644\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0647 \u0633\u0631\u0639\u062a \u0648 \u0628\u0627 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u0628\u06cc\u0646\u062f (\u0632\u06cc\u0631\u0627 \u0645\u062f\u0644 \u062f\u0631 \u062f\u0633\u062a\u06af\u0627\u0647\u06cc \u06a9\u0647 \u0642\u062f\u0631\u062a \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0646\u062f\u0627\u0631\u062f \u0645\u0633\u062a\u0642\u0631 \u0645\u06cc \u0634\u0648\u062f):<\/p>\n<blockquote>\n<p>\u062a\u06cc\u0645 \u0634\u0645\u0627 \u062a\u0635\u0645\u06cc\u0645 \u0628\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a <a href=\"https:\/\/arxiv.org\/abs\/2104.00298\" rel=\"nofollow noopener\" target=\"_blank\">EfficientNets<\/a>\u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635\u060c \u062e\u0627\u0646\u0648\u0627\u062f\u0647 V2\u060c \u0686\u0648\u0646 \u0642\u0648\u06cc \u0647\u0633\u062a\u0646\u062f\u060c \u0633\u0631\u06cc\u0639 \u062a\u0645\u0631\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 \u062f\u0642\u062a \u0628\u0627\u0644\u0627\u06cc\u06cc \u062f\u0627\u0631\u0646\u062f.<\/p>\n<\/blockquote>\n<p>\u0648 \u0645\u0648\u0631\u062f \u062f\u0648\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u062f\u0644 \u0628\u0627\u06cc\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06cc\u06a9 \u067e\u06cc\u0648\u0646\u062f \u0642\u0627\u0628\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0627\u0634\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0648\u0628 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f:<\/p>\n<blockquote>\n<p>\u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u06a9\u062a\u0647 \u062f\u0648\u0645\u060c \u0634\u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0641\u0631\u0627\u062f \u062f\u06cc\u06af\u0631 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f\u060c \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0628\u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06cc\u06a9 \u062f\u0631\u062e\u0648\u0627\u0633\u062a REST API \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u0646\u062f \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u0633\u062e \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0634\u0645\u0627 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u06cc\u0627 \u0627\u0631\u0627\u0626\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u062f\u0627\u0631\u06cc\u062f\u060c \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0628\u06cc\u200c\u0634\u0645\u0627\u0631\u06cc \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f &#8211; \u0647\u0631\u0686\u0646\u062f \u06a9\u0647 \u0645\u0627 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0622\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a <a href=\"https:\/\/www.tensorflow.org\/tfx\/guide\/serving\" rel=\"nofollow noopener\" target=\"_blank\" class=\"broken_link\">\u0633\u0631\u0648\u06cc\u0633 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648<\/a> (\u0633\u0631\u0648\u06cc\u0633 TF).<\/p>\n<\/blockquote>\n<p>\u062a\u0627 \u0627\u06cc\u0646\u062c\u0627 \u062e\u0648\u0628\u060c \u062f\u0648 \u0646\u06cc\u0627\u0632 \u0627\u0648\u0644 \u067e\u0631\u0648\u0698\u0647 \u062a\u0648\u0633\u0637 EfficientNetV2 \u0648 TF Serving \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a!  \u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0645\u0627 \u0628\u0627 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u062a\u0635\u0648\u06cc\u0631 \u06a9\u0644\u06cc \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Docker \u062f\u0631 \u0633\u0631\u0648\u06cc\u0633 TensorFlow \u0627\u062c\u0631\u0627 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<h2 id=\"tensorflowserving\"><span class=\"ez-toc-section\" id=\"%d8%b3%d8%b1%d9%88%db%8c%d8%b3_tensorflow\"><\/span>\u0633\u0631\u0648\u06cc\u0633 TensorFlow<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0633\u0631\u0648\u06cc\u0633 TensorFlow\u060c \u062e\u0648\u0628\u060c \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 \u062e\u062f\u0645\u062a \u0631\u0633\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635 \u0628\u0631\u0627\u06cc \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0628\u0647 \u067e\u0631 \u06a9\u0631\u062f\u0646 \u0634\u06a9\u0627\u0641 \u0628\u06cc\u0646 \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc\u0646 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u062a\u0648\u0644\u06cc\u062f \u0645\u062d\u0648\u0631 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0645\u0646\u0628\u0639 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u0647 \u0627\u0645\u06a9\u0627\u0646 \u0633\u0641\u0627\u0631\u0634\u06cc\u200c\u0633\u0627\u0632\u06cc (\u0628\u0631\u0627\u06cc \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0627\u0635) \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646\u060c \u0627\u062f\u063a\u0627\u0645 \u0622\u0646 \u0628\u0627 \u0647\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644\u06cc \u0631\u0627 \u0627\u0648\u0644\u0648\u06cc\u062a\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u062f. <a href=\"https:\/\/www.docker.com\/resources\/what-container\/\" rel=\"nofollow noopener\" target=\"_blank\">\u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0647\u0627\u06cc \u062f\u0627\u06a9\u0631<\/a>.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0633\u0641\u0627\u0631\u0634\u06cc \u0633\u0627\u0632\u06cc \u0646\u06cc\u0633\u062a \u0648 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0647\u0633\u062a\u06cc\u0645\u060c \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0647\u0627\u06cc Docker \u06cc\u06a9 \u0627\u0646\u062a\u062e\u0627\u0628 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u0645\u0627 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>Docker \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0628\u06cc\u0646 \u0622\u0646\u0686\u0647 \u062f\u0631 \u062d\u0627\u0644 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u06cc\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0635\u0648\u0631\u062a \u0627\u06cc\u062c\u0627\u062f \u0647\u0631\u06af\u0648\u0646\u0647 \u062a\u063a\u06cc\u06cc\u0631 \u067e\u0631\u0648\u0698\u0647 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u06cc\u0627 \u062a\u0648\u0633\u0639\u0647 \u0628\u0647 \u0633\u0627\u06cc\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644 \u0647\u0627\u060c \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0648 \u062a\u0637\u0628\u06cc\u0642 \u0622\u0646 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u06a9\u0644\u06cc \u067e\u0631\u0648\u0698\u0647 \u0627\u0633\u062a.  \u0627\u06a9\u0646\u0648\u0646\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0634\u0631\u0648\u0639 \u0628\u0647 \u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0644\u0627\u0632\u0645\u060c \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0622\u0646 \u06a9\u0646\u06cc\u0645 container \u0648 \u0622\u0645\u0648\u0632\u0634 \u0631\u0648\u0634 \u062e\u062f\u0645\u062a \u0628\u0647 \u0645\u062f\u0644!<\/p>\n<h2 id=\"importingtensorflow\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06af\u0631 \u0642\u0628\u0644\u0627\u064b \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0646\u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f TensorFlow \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645.  \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 Conda\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u062f\u0648\u06cc\u062f <code>conda install<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> conda install tensorflow<\/span>\n<\/code><\/pre>\n<p>\u062f\u0631 \u063a\u06cc\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a\u060c <code>pip<\/code> \u0622\u0646 \u0631\u0627 \u0633\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> pip install tensorflow<\/span>\n<\/code><\/pre>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0635\u0628 \u0631\u0627 \u0627\u0632 a \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f Jupyter \u062f\u0641\u062a\u0631\u0686\u0647 \u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0628\u0627 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0646 \u06cc\u06a9 <em>\u0639\u0644\u0627\u0645\u062a \u062a\u0639\u062c\u0628<\/em> \u0642\u0628\u0644 \u0627\u0632 \u062f\u0633\u062a\u0648\u0631\u060c \u0645\u0627\u0646\u0646\u062f: <code>!conda install tensorflow<\/code>.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0647\u0645\u0631\u0627\u0647 \u0628\u0627 TensorFlow\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import NumPy:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<\/code><\/pre>\n<h2 id=\"preprocessinganimagewithtensorflowandkeras\"><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%aa%d8%b5%d9%88%db%8c%d8%b1_%d8%a8%d8%a7_tensorflow_%d9%88_keras\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 TensorFlow \u0648 Keras<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0627 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0644\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0631\u0627\u0626\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u0631\u0648\u06cc ImageNet\u060c \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u062a\u0645\u0631\u06a9\u0632 \u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u0631\u0627 <em>\u062e\u062f\u0645\u062a \u06a9\u0631\u062f\u0646<\/em> process.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u06af\u06cc\u0631\u06cc\u0645\u060c \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0632 \u0642\u0648\u0647\u0627 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0686\u0647 \u0627\u0632 <a href=\"https:\/\/www.pexels.com\/photo\/white-swan-on-body-of-water-10547480\/\" rel=\"nofollow noopener\" target=\"_blank\">\u067e\u06cc\u06a9\u0633\u0644 \u0647\u0627<\/a> (\u062d\u0642 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0622\u0632\u0627\u062f).  \u0645\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0627\u06cc\u0646\u06a9\u0647 \u0622\u06cc\u0627 \u0645\u062f\u0644 \u0642\u0648\u0647\u0627\u060c \u062f\u0631\u06cc\u0627\u0686\u0647 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc \u062f\u0647\u062f \u06cc\u0627 \u0628\u0647 \u0622\u0646 \u0646\u0632\u062f\u06cc\u06a9 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062d\u06cc\u0648\u0627\u0646\u0627\u062a \u0648 \u0637\u0628\u06cc\u0639\u062a \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc \u062f\u0647\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u062f\u0627\u0646\u0644\u0648\u062f\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0645\u0633\u06cc\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0622\u0646 \u0633\u0627\u062f\u0647 \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">img_path = <span class=\"hljs-string\">'tf_serving\/pexels-art\u016bras-kokorevas-10547480.jpg'<\/span>\n<\/code><\/pre>\n<p>\u0647\u0646\u06af\u0627\u0645 \u062a\u063a\u0630\u06cc\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0647 \u06cc\u06a9 \u0645\u062f\u0644 &#8211; \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u0645 \u06a9\u0647 \u0645\u0631\u0627\u062d\u0644 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u06cc\u0646\u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0634\u0627\u0645\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0648 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0647 \u0648\u0631\u0648\u062f\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631 \u0627\u0633\u062a (\u0645\u0628\u0627\u062f\u0627 \u0648\u0632\u0646\u0647 \u0647\u0627 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0628\u0627\u0634\u0646\u062f)\u060c \u0627\u0645\u0627 \u06af\u0627\u0647\u06cc \u0627\u0648\u0642\u0627\u062a \u0634\u0627\u0645\u0644 \u0639\u0627\u062f\u06cc \u0633\u0627\u0632\u06cc \u0646\u06cc\u0632 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u062a\u0645\u0627\u0645 \u0645\u062f\u0644 \u0647\u0627\u06cc Keras \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 a <code>preprocess_input()<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0648\u0631\u0648\u062f\u06cc \u0622\u0646 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> EfficientNetV2 <code>preprocess_input()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0641\u0642\u0637 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f <code>pass<\/code>\u060c \u0632\u06cc\u0631\u0627 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0646\u06cc\u0633\u062a.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u062f\u0644\u200c\u0647\u0627 \u0627\u0646\u062a\u0638\u0627\u0631 \u062f\u0627\u0631\u0646\u062f \u0648\u0631\u0648\u062f\u06cc\u200c\u0647\u0627 \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647\u200c\u0627\u06cc \u0628\u0627\u0634\u0646\u062f <code>(0..255)<\/code>\u060c \u0628\u0647 \u0635\u0648\u0631\u062a \u0634\u0646\u0627\u0648\u0631 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062e\u0648\u062f \u0645\u062f\u0644 \u0634\u0627\u0645\u0644 a <code>Rescaling<\/code> \u0644\u0627\u06cc\u0647 \u0627\u06cc \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u0642\u06cc\u0627\u0633 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f <code>(-1, 1)<\/code>.  \u0627\u06af\u0631 \u0642\u0628\u0644\u0627\u064b \u06cc\u06a9 <code>(-1, 1)<\/code> \u0648\u0631\u0648\u062f\u06cc\u060c \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>include_preprocessing<\/code> \u067e\u0631\u0686\u0645 \u0628\u0647 <code>False<\/code> \u0647\u0646\u06af\u0627\u0645 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc EfficientNet<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u062e\u0627\u0646\u0648\u0627\u062f\u0647 EfficientNetV2 \u062f\u0631 \u0686\u0646\u062f\u06cc\u0646 \u0637\u0639\u0645 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f &#8211; <em>B0\u060c B1\u060c B2\u060c B3\u060c S\u060c M \u0648 L.<\/em> B0..B3 \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 V1 \u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0627\u0645\u0644 B0..B7 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0636\u0631\u0627\u06cc\u0628 \u0639\u0631\u0636 \u0648 \u0639\u0645\u0642 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f \u0648 \u0645\u062f\u0644 \u0647\u0627 \u0631\u0627 \u06af\u0633\u062a\u0631\u062f\u0647 \u062a\u0631 \u0648 \u0639\u0645\u06cc\u0642 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.  S\u060c M \u0648 L \u0627\u0632 \u06a9\u0627\u063a\u0630 V2 \u0645\u06cc \u0622\u06cc\u0646\u062f\u060c \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0627\u0632 \u0641\u06cc\u0644\u062a\u0631\u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc \u062f\u0631 \u0628\u0644\u0648\u06a9 \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0645\u0627\u0646 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<blockquote>\n<p>\u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062f\u0642\u062a \u0645\u0639\u0627\u0645\u0644\u0647 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 B0 \u0647\u0645\u0627\u0646 \u0627\u0633\u062a <em>\u0633\u0628\u06a9 \u062a\u0631\u06cc\u0646<\/em> \u0627\u0632 \u0622\u0646\u0647\u0627\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 L \u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u0627\u0633\u062a.<\/p>\n<\/blockquote>\n<p>\u0628\u0633\u062a\u0647 \u0628\u0647 \u0631\u0648\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062e\u0648\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0642\u0637\u0647 \u0634\u06cc\u0631\u06cc\u0646\u06cc \u0627\u0632 \u062f\u0642\u062a \u0648 \u0633\u0631\u0639\u062a \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062a\u0635\u0648\u06cc\u0631 \u0642\u0648\u0647\u0627\u06cc Pexels \u062f\u0631 \u0627\u0635\u0644 \u062f\u0627\u0631\u0627\u06cc \u0648\u0636\u0648\u062d 5078 \u062f\u0631 3627 \u067e\u06cc\u06a9\u0633\u0644 \u0627\u0633\u062a\u060c \u0645\u0627 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0647\u0631 \u062f\u0648 \u0628\u0639\u062f \u0631\u0627 \u0628\u0647 224 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645. \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. <em>\u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634<\/em>\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u062f\u0631 \u0639\u0645\u0644\u06cc\u0627\u062a \u062e\u0648\u0627\u0646\u062f\u0646 \u0648 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u0628\u0647\u06cc\u0646\u0647 &#8211; <code>tf.io.read_file()<\/code> \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0627 <code>tf.image<\/code> \u0639\u0645\u0644\u06cc\u0627\u062a:<\/p>\n<pre><code class=\"hljs\">size = (<span class=\"hljs-number\">224<\/span>, <span class=\"hljs-number\">224<\/span>)\n\nimg = tf.io.read_file(img_path)\n\nimg = tf.image.decode_png(img, channels=<span class=\"hljs-number\">3<\/span>)\n\nimg = tf.expand_dims(img, <span class=\"hljs-number\">0<\/span>)\n\nimg = tf.image.resize(img, size=size)\n<\/code><\/pre>\n<p>\u0627\u06af\u0631\u0686\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062e\u0648\u0627\u0646\u062f\u0646 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0628\u0647 \u0646\u0638\u0631 \u0628\u0631\u0633\u062f &#8211; \u0639\u0627\u062f\u062a \u0628\u0647 \u0627\u06cc\u0646 \u0646\u062d\u0648 \u0646\u0642\u0634 \u0645\u0647\u0645\u06cc \u062f\u0631 \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0622\u0645\u0648\u0632\u0634 \u0634\u0645\u0627 \u0627\u06cc\u0641\u0627 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\n\nplt.imshow(tf.cast(tf.squeeze(img), dtype=tf.uint8))\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/s3.stackabuse.com\/media\/articles\/loading-a-pretrained-tensorflow-model-into-tensorflow-serving-1.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"creatingthemodelwithtensorflow\"><span class=\"ez-toc-section\" id=\"%d8%a7%db%8c%d8%ac%d8%a7%d8%af_%d9%85%d8%af%d9%84_%d8%a8%d8%a7_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88\"><\/span>\u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u0628\u0627 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645 <code>EfficientNetV2B0<\/code>:<\/p>\n<pre><code class=\"hljs\">model = tf.keras.applications.EfficientNetV2B0()\n<\/code><\/pre>\n<p>\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u0628\u0631\u0627\u06cc &#8220;\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc ImageNet&#8221; \u0647\u0633\u062a\u0646\u062f &#8211; \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc &#8220;imagenet&#8221; \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc\u200c\u0634\u0648\u0646\u062f\u060c 1000 \u06a9\u0644\u0627\u0633 \u062e\u0631\u0648\u062c\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0648 \u0627\u0646\u062f\u0627\u0632\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc 224 \u0627\u0633\u062a (\u0627\u0632 \u0644\u062d\u0627\u0638 \u062a\u0627\u0631\u06cc\u062e\u06cc \u0631\u0627\u06cc\u062c\u200c\u062a\u0631\u06cc\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u0648\u0631\u0648\u062f\u06cc).  \u0627\u0644\u0628\u062a\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646\u200c\u0647\u0627 \u0631\u0627 \u062e\u0648\u062f\u062a\u0627\u0646 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f\u060c \u06cc\u0627 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u0628\u0627 \u062e\u0637 \u0644\u0648\u0644\u0647 \u0648\u0631\u0648\u062f\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">model = tf.keras.applications.EfficientNetV2B0(weights=<span class=\"hljs-string\">'imagenet'<\/span>, \n                                               classes=<span class=\"hljs-number\">1000<\/span>, \n                                               input_shape=(<span class=\"hljs-number\">224<\/span>, <span class=\"hljs-number\">224<\/span>, <span class=\"hljs-number\">3<\/span>))\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0647 \u062a\u0645\u0627\u0645 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u062f\u0627\u0631\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f. <code>summary()<\/code> \u0631\u0648\u0634:<\/p>\n<pre><code class=\"hljs\">model.summary()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc 7.14 \u0645\u06cc\u0644\u06cc\u0648\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0642\u0627\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">=========================================================\nTotal params: 7,200,312\nTrainable params: 7,139,704\nNon-trainable params: 60,608\n_________________________________________________________\n<\/code><\/pre>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0622\u0645\u0648\u0632\u0634 \u0646\u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u0648 \u062a\u0635\u0648\u06cc\u0631 \u0622\u0645\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645!<\/p>\n<h2 id=\"makingpredictions\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4%da%af%d9%88%db%8c%db%8c\"><\/span>\u067e\u06cc\u0634\u06af\u0648\u06cc\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <code>predict()<\/code> \u0631\u0648\u0634 \u0648 \u0630\u062e\u06cc\u0631\u0647 \u0646\u062a\u0627\u06cc\u062c \u062f\u0631 a <code>preds<\/code> \u0645\u062a\u063a\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\">preds = model.predict(x)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0639\u0648\u0636\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">preds = model(x)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>preds<\/code> \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631\u060c \u0627\u0632 <code>(batch_size, class_probabilities)<\/code>.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u062d\u062f \u062f\u0627\u0631\u06cc\u0645\u060c \u062a\u0627\u0646\u0633\u0648\u0631 \u062e\u0631\u0648\u062c\u06cc \u0634\u06a9\u0644 \u0627\u0633\u062a <code>(1, 1000)<\/code>\u060c \u06a9\u0647 \u062f\u0631 \u0622\u0646 1000 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0627\u062d\u062a\u0645\u0627\u0644 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u062f\u0631 ImageNet \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(preds)\n\n\n\n\n\n<\/code><\/pre>\n<p>\u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627\u0644\u0627\u062a\u0631\u06cc\u0646 \u06a9\u0644\u0627\u0633 \u0627\u062d\u062a\u0645\u0627\u0644 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 <code>argmax()<\/code> \u062a\u0627\u0628\u0639\u060c \u06a9\u0647 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f <em>\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/em> \u0628\u0627\u0644\u0627\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u062a\u0627\u0646\u0633\u0648\u0631:<\/p>\n<pre><code class=\"hljs\">tf.argmax(preds, axis=<span class=\"hljs-number\">1<\/span>)\n\n<\/code><\/pre>\n<p>\u062f\u0631 \u062d\u0627\u0644 \u0627\u062c\u0631\u0627 \u0647\u0633\u062a\u06cc\u0645 <code>argmax()<\/code> \u0631\u0648\u06cc <code>axis=1<\/code>\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0622\u0646 \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0645\u062d\u0648\u0631 \u062f\u0648\u0645 (&#8220;\u0633\u062a\u0648\u0646&#8221;) \u062a\u0627\u0646\u0633\u0648\u0631 (\u062f\u0631 \u062d\u0627\u0644 \u0627\u062c\u0631\u0627 \u0647\u0633\u062a\u06cc\u0645 <code>argmax()<\/code> \u062f\u0631 \u0628\u06cc\u0646 1000 \u0627\u062d\u062a\u0645\u0627\u0644 \u06a9\u0644\u0627\u0633).  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u06a9\u0644\u0627\u0633 \u0632\u06cc\u0631 \u0634\u0627\u062e\u0635 295 \u0686\u06cc\u0633\u062a\u061f  \u0628\u0647 \u0637\u0648\u0631 \u0645\u0639\u0645\u0648\u0644\u060c \u0641\u0647\u0631\u0633\u062a \u06cc\u0627 \u0641\u0631\u0647\u0646\u06af \u0644\u063a\u062a\u06cc \u0627\u0632 \u0634\u0627\u062e\u0635\u200c\u0647\u0627\u06cc \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627 \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u0634\u062a \u06a9\u0647 \u062f\u0631 \u062d\u0627\u0641\u0638\u0647 \u06cc\u0627 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 ImageNet \u062f\u0627\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0627\u0633\u062a \u0648 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\/\u06a9\u0644\u0627\u0633 \u0631\u0627\u06cc\u062c \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0622\u0646 \u0627\u0633\u062a\u060c TensorFlow \u06cc\u06a9 <code>decode_predictions()<\/code> \u0631\u0648\u0634 \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0647\u0631 \u0645\u062f\u0644  \u0628\u0627 \u0627\u0646\u062a\u0642\u0627\u0644 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627 \u0628\u0647 \u0622\u0646\u060c \u0646\u0642\u0634\u0647 \u0628\u0631\u0686\u0633\u0628 \u0631\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 5 \u0628\u0631\u0686\u0633\u0628 \u0628\u0631\u062a\u0631 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 5 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u062d\u062a\u0645\u0644\u200c\u062a\u0631\u06cc\u0646 \u0648 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u062e\u0648\u0627\u0646\u062f\u0646 \u062a\u0648\u0633\u0637 \u0627\u0646\u0633\u0627\u0646 \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">preds = preds.numpy()\ntf.keras.applications.efficientnet.decode_predictions(preds)\n<span class=\"hljs-string\">\"\"\"\n('n09332890', 'lakeside', 0.2955897), \n('n09421951', 'sandbar', 0.24374594), \n('n01855672', 'goose', 0.10379495), \n('n02894605', 'breakwater', 0.031712674), \n('n09428293', 'seashore', 0.031055905)))\n\"\"\"<\/span>\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u0644\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0645\u0639\u062a\u0642\u062f \u0627\u0633\u062a a <em>\u06a9\u0646\u0627\u0631 \u062f\u0631\u06cc\u0627\u0686\u0647<\/em> \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u060c \u062d\u062f\u0648\u062f 30 \u062f\u0631\u0635\u062f \u0634\u0627\u0646\u0633\u060c \u0648 \u067e\u0633 \u0627\u0632 \u0622\u0646 a <em>\u0633\u0646\u062f\u0628\u0627\u0631<\/em>\u060c \u0622 <em>\u063a\u0627\u0632<\/em>\u060c \u0622 <em>\u0645\u0648\u062c \u0634\u06a9\u0646<\/em> \u0648 \u0627\u0644\u0641 <em>\u0633\u0627\u062d\u0644 \u062f\u0631\u06cc\u0627<\/em>.  \u0628\u0631\u062c\u0633\u062a\u0647 \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u0628\u0627\u0631 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0627\u0641\u06cc \u062e\u0648\u0628 \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u06a9\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0642\u0648\u0647\u0627 \u0622\u0633\u0627\u0646 \u0646\u06cc\u0633\u062a\u060c \u062f\u0627\u0631\u0627\u06cc \u062a\u0648\u0646\u0627\u0644\u06cc\u062a\u0647 \u0647\u0627\u06cc\u06cc \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0647 \u0647\u0645 \u0627\u0633\u062a \u0648 \u062a\u0639\u0627\u0631\u06cc\u0641 \u0686\u0646\u062f\u0627\u0646 \u0631\u0648\u0634\u0646\u06cc \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0645\u0646\u0638\u0631\u0647 \u0628\u0647 \u06a9\u062c\u0627 \u062e\u062a\u0645 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062f\u0631\u06cc\u0627\u0686\u0647 \u06cc\u062e \u0632\u062f\u0647 \u06a9\u062c\u0627 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f.  \u0628\u0647 \u062e\u0635\u0648\u0635\u060c \u062f\u0631 \u0631\u0632\u0648\u0644\u0648\u0634\u0646 \u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9\u062a\u0631\u060c \u062a\u0634\u062e\u06cc\u0635 \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0633\u062e\u062a \u062a\u0631 \u0627\u0633\u062a.<\/p>\n<h2 id=\"savingthemodel\"><span class=\"ez-toc-section\" id=\"%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84\"><\/span>\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06cc\u062c\u0627\u062f \u0648 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u060c \u0686\u0631\u062e\u0647 \u062a\u0648\u0633\u0639\u0647 \u062a\u06a9\u0631\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u0627 \u0634\u0628\u06cc\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f &#8220;\u0646\u0633\u062e\u0647 \u0641\u0639\u0644\u06cc&#8221; \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u0627\u06cc\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u06cc\u06a9 \u067e\u0648\u0634\u0647 \u0628\u0627 \u0646\u0627\u0645 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 &#8211; \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c <code>effv2b0<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> mkdir effv2b0<\/span>\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0628\u0627 \u067e\u0648\u0634\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0646\u0633\u062e\u0647 \u0647\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647\u060c \u0628\u0627\u06cc\u062f \u0631\u0627\u0647\u06cc \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u06cc\u0632 \u0628\u06cc\u0646 \u0647\u0631 \u0641\u0627\u06cc\u0644 \u0646\u0633\u062e\u0647 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645\u060c \u062a\u0627 \u0647\u0631 \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0631\u0648\u0634\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0646\u0627\u0645 \u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u0645.  \u06cc\u06a9 \u0631\u0648\u0634 \u0631\u0627\u06cc\u062c \u0628\u0631\u0627\u06cc \u0646\u0627\u0645\u200c\u06af\u0630\u0627\u0631\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0647\u0631 \u0641\u0627\u06cc\u0644\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0632\u0645\u0627\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0628\u0631 \u062d\u0633\u0628 \u062b\u0627\u0646\u06cc\u0647 (\u06cc\u0627 \u062a\u0627\u0631\u06cc\u062e \u0648 \u062b\u0627\u0646\u06cc\u0647 \u06a9\u0627\u0645\u0644 \u062a\u0642\u0648\u06cc\u0645) \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0639\u062f\u062f \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f <code>time()<\/code> \u0631\u0648\u0634 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 <code>time<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647<\/p>\n<p>\u0628\u0647 \u0647\u0645\u0627\u0646 \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0632\u0645\u0627\u0646\u060c \u0633\u067e\u0633 \u0632\u0645\u0627\u0646 \u0641\u0639\u0644\u06cc \u0631\u0627 \u0628\u0631 \u062d\u0633\u0628 \u062b\u0627\u0646\u06cc\u0647 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> time\n\ncurrent_time = <span class=\"hljs-built_in\">int<\/span>(time.time()) \n<\/code><\/pre>\n<p>\u0645\u0627 \u06cc\u06a9 \u0646\u0627\u0645 \u0628\u0631\u0627\u06cc \u0641\u0627\u06cc\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0645\u0633\u06cc\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0622\u0646 \u062f\u0631 \u062f\u0627\u062e\u0644 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u0645 <code>effv2b0<\/code> \u067e\u0648\u0634\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 <code>f-string<\/code> \u0628\u0631\u0627\u06cc \u0627\u0644\u062d\u0627\u0642 \u067e\u0648\u0634\u0647 \u0628\u0627 \u0634\u0645\u0627\u0631\u0647:<\/p>\n<pre><code class=\"hljs\">path = <span class=\"hljs-string\">f\"effv2b0\/<span class=\"hljs-subst\">{current_time}<\/span>\"<\/span>\n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>save()<\/code> \u0645\u062a\u062f \u0648 \u067e\u0627\u0633 \u06a9\u0631\u062f\u0646 \u0645\u0633\u06cc\u0631 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646:<\/p>\n<pre><code class=\"hljs\">model.save(path)\n<\/code><\/pre>\n<p>\u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0647\u0627\u06cc\u06cc \u067e\u0648\u0634\u0647 \u0628\u0627 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0628\u0627\u0634\u062f:<\/p>\n<pre><code class=\"hljs\"># how the folder should look like\n\u251c\u2500\u2500 effv2b0\n\u2502 \u251c\u2500\u2500 1673311761\n\u2502 \u2502 \u251c\u2500\u2500 assets \n\u2502 \u2502 \u251c\u2500\u2500 saved_model.pb \n\u2502 \u2502 \u2514\u2500\u2500 variables \n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 <code>save()<\/code> \u0631\u0648\u0634 \u062e\u0631\u0648\u062c\u06cc an <code>assets<\/code> \u067e\u0648\u0634\u0647\u060c \u0627\u0644\u0641 <code>saved_model.pb<\/code> \u0641\u0627\u06cc\u0644 \u0648 \u0627\u0644\u0641 <code>variables<\/code> \u067e\u0648\u0634\u0647  \u0627\u06cc\u0646 <em>\u062f\u0627\u0631\u0627\u06cc\u06cc \u0647\u0627\u06cc<\/em> \u067e\u0648\u0634\u0647 \u062d\u0627\u0648\u06cc \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0646\u0645\u0648\u062f\u0627\u0631 TensorFlow \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <strong>.pb<\/strong> \u0641\u0627\u06cc\u0644 (protobuf) \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u0648 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 <em>\u0645\u062a\u063a\u06cc\u0631\u0647\u0627<\/em> \u067e\u0648\u0634\u0647\u060c \u0648\u0632\u0646 \u0645\u062f\u0644  \u0627\u06cc\u0646 \u0647\u0645\u0647 \u0622\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 TensorFlow \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f.<\/p>\n<p>\u0645\u0627 \u0642\u0628\u0644\u0627\u064b \u0645\u0631\u0627\u062d\u0644 \u0627\u0635\u0644\u06cc \u062a\u0647\u06cc\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631\u060c \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0648 \u0630\u062e\u06cc\u0631\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0686\u06af\u0648\u0646\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h2 id=\"servingthemodelwithtensorflowservinganddocker\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%a7%d8%a6%d9%87_%d9%85%d8%af%d9%84_%d8%a8%d8%a7_%d8%b3%d8%b1%d9%88%db%8c%d8%b3_%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88_%d9%88_%d8%af%d8%a7%da%a9%d8%b1\"><\/span>\u0627\u0631\u0627\u0626\u0647 \u0645\u062f\u0644 \u0628\u0627 \u0633\u0631\u0648\u06cc\u0633 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0648 \u062f\u0627\u06a9\u0631<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06cc\u06a9 \u0646\u0633\u062e\u0647 \u0645\u062f\u0644 &#8211; \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 Docker \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0645\u062f\u0644 \u0648 \u0633\u0631\u0648\u06cc\u0633 TF \u062e\u0648\u062f \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0645\u0633\u062a\u0642\u0631 \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"installingdocker\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_docker\"><\/span>\u0646\u0635\u0628 Docker<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u0642\u062f\u0645 \u0628\u0647 process \u062f\u0631 \u062d\u0627\u0644 \u0646\u0635\u0628 Docker \u0627\u0633\u062a\u060c \u062f\u0631 <a href=\"https:\/\/www.docker.com\/\" rel=\"nofollow noopener\" target=\"_blank\">\u0648\u0628 \u0633\u0627\u06cc\u062a \u062f\u0627\u06a9\u0631<\/a> \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u062e\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647 \u0631\u0627 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644 \u062e\u0648\u062f \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u062f\u0627\u0646\u0644\u0648\u062f \u0648 \u0646\u0635\u0628\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u062a\u0633\u062a \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u062f\u0631 \u062d\u0627\u0644 \u0627\u062c\u0631\u0627 \u0627\u0633\u062a \u06cc\u0627 \u062e\u06cc\u0631.  \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u062e\u0637 \u0641\u0631\u0645\u0627\u0646\u060c \u0641\u0642\u0637 \u062f\u0633\u062a\u0648\u0631 \u0631\u0627 \u062a\u0627\u06cc\u067e \u06a9\u0646\u06cc\u062f \u06cc\u0627 \u062f\u0627\u062e\u0644 a Jupyter \u062f\u0641\u062a\u0631\u0686\u0647 \u06cc\u0627\u062f\u062f\u0627\u0634\u062a\u060c \u0628\u0647 \u0647\u0645\u0627\u0646 \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u06cc\u0645\u060c \u0628\u0627 \u062f\u0631\u062c \u0639\u0644\u0627\u0645\u062a \u062a\u0639\u062c\u0628 <code>!<\/code> \u0642\u0628\u0644 \u0627\u0632 \u0641\u0631\u0645\u0627\u0646<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc Docker\u060c \u062a\u0627\u06cc\u067e \u06a9\u0631\u062f\u0647 \u0648 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> open --background -a Docker<\/span>\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u0686\u0646\u062f \u062b\u0627\u0646\u06cc\u0647\u060c \u0628\u0627\u06cc\u062f \u067e\u0646\u062c\u0631\u0647 \u0628\u0631\u0646\u0627\u0645\u0647 Docker \u0628\u0627\u0632 \u0634\u0648\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s3.stackabuse.com\/media\/articles\/loading-a-pretrained-tensorflow-model-into-tensorflow-serving-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0634\u0631\u0648\u0639 Docker\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker run hello-world<\/span>\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647:<\/p>\n<pre><code class=\"hljs\">Hello from Docker!\nThis message shows that your installation appears to be working correctly.\n\nTo generate this message, Docker took the following steps:\n 1. The Docker client contacted the Docker daemon.\n 2. The Docker daemon pulled the \"hello-world\" image from the Docker Hub.\n    (arm64v8)\n 3. The Docker daemon created a new container from that image which runs the\n    executable that produces the output you are currently reading.\n 4. The Docker daemon streamed that output to the Docker client, which sent it\n    to your terminal.\n\nTo try something more ambitious, you can run an Ubuntu container with:\n $ docker run -it ubuntu bash\n\nShare images, automate workflows, and more with a free Docker ID:\n https:\/\/hub.docker.com\/\n\nFor more examples and ideas, visit:\n https:\/\/docs.docker.com\/get-started\/\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0622\u0645\u0627\u062f\u0647 \u062d\u0631\u06a9\u062a \u0647\u0633\u062a\u06cc\u0645.  Docker \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a!<\/p>\n<h3 id=\"pullingatfservingimage\"><span class=\"ez-toc-section\" id=\"%da%a9%d8%b4%db%8c%d8%af%d9%86_%d8%aa%d8%b5%d9%88%db%8c%d8%b1_%d8%b3%d8%b1%d9%88%db%8c%d8%b3_tf\"><\/span>\u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0633\u0631\u0648\u06cc\u0633 TF<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u06cc \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 TF Serving \u0631\u0627 \u062f\u0631 \u062f\u0627\u062e\u0644 \u062f\u0627\u06a9\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f &#8211; \u06a9\u0647 \u0647\u0645\u0627\u0646 \u0627\u0633\u062a <strong>\u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0627\u0632 Docker<\/strong>\u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc TF Serving.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631 TF Serving\u060c \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker pull tensorflow\/serving:latest-gpu<\/span>\n<\/code><\/pre>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0627\u06af\u0631 \u0627\u0632 \u062a\u0631\u0627\u0634\u0647 M1 \u0645\u06a9 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0628\u0631\u0627\u06cc \u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631\u060c \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker pull emacski\/tensorflow-serving:latest-linux_arm64<\/span>\n<\/code><\/pre>\n<\/p><\/div><\/div><\/div>\n<p>\u067e\u0633 \u0627\u0632 \u06a9\u0634\u06cc\u062f\u0646 \u062a\u0635\u0648\u06cc\u0631\u060c \u0627\u06af\u0631 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0628\u0631\u0646\u0627\u0645\u0647 \u062f\u0633\u06a9\u062a\u0627\u067e Docker \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f\u060c \u062f\u0631 <em>\u062a\u0635\u0627\u0648\u06cc\u0631<\/em> \u0628\u0631\u06af\u0647\u060c \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0628\u0631\u06af\u0647 \u062c\u062f\u06cc\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f <code>tensorflow\/serving<\/code> \u062a\u0635\u0648\u06cc\u0631:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s3.stackabuse.com\/media\/articles\/loading-a-pretrained-tensorflow-model-into-tensorflow-serving-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u06cc\u06a9 \u0646\u06cc\u0632 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>hello-world<\/code> \u062a\u0635\u0648\u06cc\u0631 \u0627\u0632 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0648\u0644\u06cc\u0647 \u062f\u0627\u06a9\u0631.<\/p>\n<h3 id=\"servingthemodel\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%b1_%d8%ae%d8%af%d9%85%d8%aa_%d9%85%d8%af%d9%84\"><\/span>\u062f\u0631 \u062e\u062f\u0645\u062a \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062a\u0627 \u0628\u0647 \u062d\u0627\u0644\u060c \u0645\u0627 \u06cc\u06a9 \u062f\u0627\u06a9\u0631 \u062f\u0627\u0631\u06cc\u0645 container \u0628\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc TF Server \u062f\u0631 \u062f\u0627\u062e\u0644 \u0622\u0646\u060c \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc container\u060c \u0645\u0627 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0632\u06cc\u0631 \u0631\u0627 \u0645\u06cc \u0633\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker run --rm -p &lt;port_number&gt;:&lt;port_number&gt; \\\n        --name &lt;container_name&gt; \\\n        -v <span class=\"hljs-string\">\"&lt;local_path_to_net_folder&gt;:&lt;internal_tfserving_path_\/models\/+net_folder&gt;\"<\/span> \\\n        -e MODEL_NAME=&lt;same_as_net_folder&gt; \\\n        &lt;name_of_pulled_image&gt;<\/span>\n<\/code><\/pre>\n<p>\u062f\u0631 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0641\u0648\u0642\u060c 5 \u067e\u0631\u0686\u0645 \u062f\u0627\u06a9\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c <code>--rm<\/code>\u060c <code>-p<\/code>\u060c <code>--name<\/code>\u060c <code>-v<\/code>\u060c <code>-e<\/code>.  \u0645\u0639\u0646\u06cc \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a:<\/p>\n<ul>\n<li><code>--rm<\/code>: \u0647\u0645\u0627\u0646\u0646\u062f \u062d\u0630\u0641\u060c \u0628\u0647 Docker \u0645\u06cc\u200c\u06af\u0648\u06cc\u062f \u06a9\u0647 \u067e\u0627\u06a9\u0633\u0627\u0632\u06cc \u06a9\u0646\u062f container \u067e\u0633 \u0627\u0632 \u062e\u0631\u0648\u062c\u061b<\/li>\n<li><code>-p<\/code>: \u0645\u062e\u0641\u0641 \u067e\u0648\u0631\u062a\u060c \u0628\u0647 Docker \u0645\u06cc \u06af\u0648\u06cc\u062f \u06a9\u0647 \u062f\u0631 \u06a9\u062f\u0627\u0645 \u067e\u0648\u0631\u062a \u0627\u0633\u062a container \u062f\u0648\u06cc\u062f\u0646\u061b<\/li>\n<li><code>--name<\/code>: \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0646\u0627\u0645 \u0622\u0646 \u0686\u06cc\u0633\u062a container;<\/li>\n<li><code>-v<\/code>: \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631\u0627\u06cc \u062d\u062c\u0645\u060c \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0627 \u0639\u0644\u0627\u0626\u0645 \u06a9\u0648\u0644\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <code>:<\/code> \u0627\u0648\u0644\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u0631\u0627 \u0645\u06cc \u0633\u0627\u0632\u062f\u060c \u06cc\u0627 <em>host<\/em>  \u0645\u0633\u06cc\u0631 \u0645\u0648\u062c\u0648\u062f \u0628\u0631\u0627\u06cc \u062a\u0628\u0627\u062f\u0644 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u0627 \u0645\u0633\u06cc\u0631 \u062f\u0648\u0645 \u06cc\u0627 \u0645\u0633\u06cc\u0631 \u062f\u0627\u062e\u0644 container.  \u062f\u0631 \u0645\u062b\u0627\u0644 \u0645\u0627\u060c \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627 \u06a9\u067e\u06cc \u06a9\u0631\u062f\u0646 \u0622\u0646\u0686\u0647 \u062f\u0631 \u067e\u0648\u0634\u0647 \u0645\u0627 \u0627\u0633\u062a \u0628\u0647 TF Serving&#8217;s \u0647\u0633\u062a\u06cc\u0645 <code>\/models\/<\/code> \u067e\u0648\u0634\u0647 \u0648 \u0641\u0639\u0627\u0644 \u06a9\u0631\u062f\u0646 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0631 \u0622\u0646\u061b<\/li>\n<li><code>-e<\/code>: \u0645\u0627\u0646\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc env \u06cc\u0627 \u0645\u062d\u06cc\u0637\u06cc\u060c \u062f\u0631 \u0645\u062b\u0627\u0644 \u0645\u0627 \u06cc\u06a9 \u0645\u062a\u063a\u06cc\u0631 MODEL_NAME \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u062f\u0631 \u062f\u0627\u062e\u0644 container.<\/li>\n<\/ul>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0631 \u062f\u0633\u062a\u0648\u0631 \u0628\u0627\u0644\u0627\u060c \u0645\u062a\u0646 \u062f\u0627\u062e\u0644 <code>&lt;<\/code> <code>&gt;<\/code>  \u0642\u0631\u0627\u0631 \u0627\u0633\u062a \u0628\u0627 \u067e\u0648\u0631\u062a \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0634\u0648\u062f\u060c \u0646\u0627\u0645 \u0622\u0646 container\u060c \u0645\u0633\u06cc\u0631 \u0645\u062d\u0644\u06cc \u0628\u0647 \u067e\u0648\u0634\u0647 \u0634\u0628\u06a9\u0647 \u0648 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 \u0645\u0633\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637\u0647 \u062f\u0631 \u0633\u0631\u0648\u06cc\u0633 TF \u0628\u0647 \u067e\u0648\u0634\u0647 \u0634\u0628\u06a9\u0647 \u06a9\u0647 \u062f\u0631 \u062f\u0627\u062e\u0644 \u06cc\u06a9 <code>\/models\/<\/code> \u067e\u0648\u0634\u0647\u060c \u0646\u0627\u0645 \u0645\u062f\u0644 \u0648 \u0646\u0627\u0645 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0627\u06a9\u0631.  \u062f\u0631 \u0632\u06cc\u0631 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker run --rm -p 8501:8501 \\\n        --name tfserving_effv2 \\\n        -v <span class=\"hljs-string\">\"\/Users\/csamp\/Documents\/stack_ab\/effv2b0:\/models\/effv2b0\"<\/span> \\\n        -e MODEL_NAME=effv2b0 \\\n        tensorflow\/serving:latest-gpu<\/span>\n<\/code><\/pre>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0627\u06af\u0631 \u0627\u0632 \u062a\u0631\u0627\u0634\u0647 M1 \u0645\u06a9 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u062a\u0646\u0647\u0627 \u062a\u0641\u0627\u0648\u062a \u062f\u0633\u062a\u0648\u0631 \u062f\u0631 \u062e\u0637 \u0622\u062e\u0631 \u0627\u0633\u062a \u06a9\u0647 \u0646\u0627\u0645 \u0622\u0646 \u0631\u0627 \u062f\u0627\u0631\u062f. <code>emacski\/tensorflow-serving:latest-linux_arm64<\/code> \u062a\u0635\u0648\u06cc\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> docker run --rm -p 8501:8501 \\\n        --name tfserving_effv2 \\\n        -v <span class=\"hljs-string\">\"\/Users\/csamp\/Documents\/stack_ab\/effv2b0:\/models\/effv2b0\"<\/span> \\\n        -e MODEL_NAME=effv2b0 \\\n        emacski\/tensorflow-serving:latest-linux_arm64<\/span>\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u062f\u06cc\u06af\u0631\u06cc \u0628\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u062e\u0637 \u0622\u062e\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631\u060c \u06cc\u06a9 \u062e\u0631\u0648\u062c\u06cc \u0637\u0648\u0644\u0627\u0646\u06cc \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f \u06a9\u0647 \u0628\u0647 \u067e\u0627\u06cc\u0627\u0646 \u0645\u06cc \u0631\u0633\u062f <strong>&#8220;\u0648\u0631\u0648\u062f \u0628\u0647 \u062d\u0644\u0642\u0647 \u0631\u0648\u06cc\u062f\u0627\u062f&#8230;&#8221;<\/strong>:<\/p>\n<pre><code class=\"hljs\">1402-01-17 10:01:33.219123: I external\/tf_serving\/tensorflow_serving\/model_servers\/server.cc:89) Building single TensorFlow model file config:  model_name: effv2b0 model_base_path: \/models\/effv2b0\n1402-01-17 10:01:33.220437: I external\/tf_serving\/tensorflow_serving\/model_servers\/server_core.cc:465) Adding\/updating models.\n1402-01-17 10:01:33.220455: I external\/tf_serving\/tensorflow_serving\/model_servers\/server_core.cc:591)  (Re-)adding model: effv2b0\n1402-01-17 10:01:33.330517: I external\/tf_serving\/tensorflow_serving\/core\/basic_manager.cc:740) Successfully reserved resources to load servable {name: effv2b0 version: 1670550215}\n1402-01-17 10:01:33.330545: I external\/tf_serving\/tensorflow_serving\/core\/loader_harness.cc:66) Approving load for servable version {name: effv2b0 version: 1670550215}\n1402-01-17 10:01:33.330554: I external\/tf_serving\/tensorflow_serving\/core\/loader_harness.cc:74) Loading servable version {name: effv2b0 version: 1670550215}\n1402-01-17 10:01:33.331164: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/reader.cc:38) Reading SavedModel from: \/models\/effv2b0\/1670550215\n1402-01-17 10:01:33.465487: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/reader.cc:90) Reading meta graph with tags { serve }\n1402-01-17 10:01:33.465524: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/reader.cc:132) Reading SavedModel debug info (if present) from: \/models\/effv2b0\/1670550215\n1402-01-17 10:01:33.468611: I external\/org_tensorflow\/tensorflow\/core\/common_runtime\/process_util.cc:146) Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n1402-01-17 10:01:33.763910: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:211) Restoring SavedModel bundle.\n1402-01-17 10:01:33.781220: W external\/org_tensorflow\/tensorflow\/core\/platform\/profile_utils\/cpu_utils.cc:87) Failed to get CPU frequency: -1\n1402-01-17 10:01:34.390394: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:195) Running initialization op \u0631\u0648\u06cc SavedModel bundle at path: \/models\/effv2b0\/1670550215\n1402-01-17 10:01:34.516968: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:283) SavedModel load for tags { serve }; Status: success: OK. Took 1185801 microseconds.\n1402-01-17 10:01:34.536880: I external\/tf_serving\/tensorflow_serving\/servables\/tensorflow\/saved_model_warmup_util.cc:59) No warmup data file found at \/models\/effv2b0\/1670550215\/assets.extra\/tf_serving_warmup_requests\n1402-01-17 10:01:34.539248: I external\/tf_serving\/tensorflow_serving\/core\/loader_harness.cc:87) Successfully loaded servable version {name: effv2b0 version: 1670550215}\n1402-01-17 10:01:34.540738: I external\/tf_serving\/tensorflow_serving\/model_servers\/server_core.cc:486) Finished adding\/updating models\n1402-01-17 10:01:34.540785: I external\/tf_serving\/tensorflow_serving\/model_servers\/server.cc:133) Using InsecureServerCredentials\n1402-01-17 10:01:34.540794: I external\/tf_serving\/tensorflow_serving\/model_servers\/server.cc:383) Profiler service is enabled\n1402-01-17 10:01:34.542004: I external\/tf_serving\/tensorflow_serving\/model_servers\/server.cc:409) Running gRPC ModelServer at 0.0.0.0:8500 ...\n(warn) getaddrinfo: address family for nodename not supported\n1402-01-17 10:01:34.543973: I external\/tf_serving\/tensorflow_serving\/model_servers\/server.cc:430) Exporting HTTP\/REST API at:localhost:8501 ...\n(evhttp_server.cc : 245) NET_LOG: Entering the event loop ...\n<\/code><\/pre>\n<p>\u06cc\u0639\u0646\u06cc \u0645\u062f\u0644 TF \u0633\u0631\u0648 \u0645\u06cc\u0634\u0647!<\/p>\n<p>\u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u062f\u0633\u06a9\u062a\u0627\u067e Docker\u060c \u062f\u0631 <em>\u0638\u0631\u0648\u0641<\/em> \u062a\u0628\u060c \u06cc\u06a9 \u062e\u0637 \u0628\u0627 container \u0646\u0627\u0645\u06cc \u06a9\u0647 \u062f\u0631 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0647\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>--name<\/code> \u0628\u0631\u0686\u0633\u0628\u060c \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c <code>tfserving_effv2<\/code>\u060c \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 \u067e\u06cc\u0648\u0646\u062f \u062a\u0635\u0648\u06cc\u0631\u060c \u0648\u0636\u0639\u06cc\u062a \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 <em>\u062f\u0631 \u062d\u0627\u0644 \u0627\u062c\u0631\u0627<\/em> \u0648 \u067e\u0648\u0631\u062a \u0647\u0627:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s3.stackabuse.com\/media\/articles\/loading-a-pretrained-tensorflow-model-into-tensorflow-serving-4.png\" alt=\"\" title=\"\"><\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0647\u0645\u0647 \u0686\u06cc\u0632 \u0631\u0627 \u062f\u0631 \u062f\u0627\u062e\u0644 a \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f Jupyter Notebook \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631 serving \u0648 \u062e\u0648\u0627\u0646\u062f\u0646 \u067e\u06cc\u0627\u0645 Entering the event loop &#8230; \u0647\u0633\u062a\u0647 \u0631\u0627 \u0642\u0637\u0639 \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u0641\u0642\u0637 \u0633\u0644\u0648\u0644 \u0631\u0627 \u0645\u062a\u0648\u0642\u0641 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 Docker \u0628\u0647 \u06a9\u0627\u0631 \u062e\u0648\u062f \u0627\u062f\u0627\u0645\u0647 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0633\u0644\u0648\u0644 \u0628\u0639\u062f\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<h3 id=\"sendingrequestsandgettingaresponsefromthemodel\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%b3%d8%a7%d9%84_%d8%af%d8%b1%d8%ae%d9%88%d8%a7%d8%b3%d8%aa_%d9%88_%d8%af%d8%b1%db%8c%d8%a7%d9%81%d8%aa_%d9%be%d8%a7%d8%b3%d8%ae_%d8%a7%d8%b2_%d9%85%d8%af%d9%84\"><\/span>\u0627\u0631\u0633\u0627\u0644 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0648 \u062f\u0631\u06cc\u0627\u0641\u062a \u067e\u0627\u0633\u062e \u0627\u0632 \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u062f\u0644 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0633\u0631\u0648\u06cc\u0633 TF \u062f\u0631 \u067e\u0648\u0631\u062a 8501 \u0642\u0627\u0628\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0648\u0628 \u0628\u0647 \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645\u060c \u06cc\u0627 a <strong>\u062f\u0631\u062e\u0648\u0627\u0633\u062a<\/strong> \u0628\u0647 \u0645\u062f\u0644 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647\u060c \u0648 \u0633\u067e\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a a \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u06cc\u062f <strong>\u0648\u0627\u06a9\u0646\u0634<\/strong>\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0648 \u0627\u06cc\u0646 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0627\u0632 \u0637\u0631\u06cc\u0642 HTTP \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u06cc\u0646 \u0631\u0648\u0634 \u06a9\u0627\u0631 \u0648 \u0627\u0631\u062a\u0628\u0627\u0637 \u0648\u0628 \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0647\u0627 \u0648 \u067e\u0627\u0633\u062e \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f import \u067e\u0627\u06cc\u062a\u0648\u0646 <code>requests<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647<\/p>\n<p>\u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0647\u0646\u06af\u0627\u0645 \u0627\u0631\u0633\u0627\u0644 \u067e\u06cc\u0627\u0645 \u0627\u0632 \u0637\u0631\u06cc\u0642 HTTP\u060c \u067e\u06cc\u0627\u0645\u200c\u0647\u0627\u06cc\u06cc \u0628\u0627 \u0641\u0631\u0645\u062a JSON \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 \u0647\u0645 \u0633\u0628\u06a9 \u0647\u0633\u062a\u0646\u062f \u0648 \u0647\u0645 \u0628\u0631\u0627\u06cc \u0627\u0646\u0633\u0627\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0642\u0627\u0628\u0644 \u062e\u0648\u0627\u0646\u062f\u0646 \u0647\u0633\u062a\u0646\u062f \u0648 \u0628\u0627 \u067e\u0631\u06a9\u0627\u0631\u0628\u0631\u062f\u062a\u0631\u06cc\u0646 \u0632\u0628\u0627\u0646 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u0646\u062f. \u0631\u0648\u06cc \u0648\u0628 &#8211; \u062c\u0627\u0648\u0627 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u06cc\u06a9 \u0628\u0627\u0631 JSON \u0646\u06cc\u0632 \u0627\u0631\u0633\u0627\u0644 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f\u060c \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f import \u067e\u0627\u06cc\u062a\u0648\u0646 <code>json<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> json\n<span class=\"hljs-keyword\">import<\/span> requests\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u060c \u0628\u0627\u06cc\u062f \u0645\u06a9\u0627\u0646\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0647 \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645\u060c \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u0645 &#8211; \u0647\u0645\u0627\u0646 \u0622\u062f\u0631\u0633 \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u0627\u0631\u0627\u0626\u0647 \u0627\u0633\u062a &#8211; \u0628\u0647 \u0646\u0627\u0645 <strong>\u0646\u0642\u0637\u0647 \u067e\u0627\u06cc\u0627\u0646\u06cc<\/strong>:<\/p>\n<pre><code class=\"hljs\">endpoint = <span class=\"hljs-string\">'http:\/\/localhost:8501\/v1\/models\/effv2b0:predict'<\/span>\n<\/code><\/pre>\n<p>\u0645\u0627 \u062f\u0631 \u062e\u062f\u0645\u062a \u0645\u062f\u0644 \u0647\u0633\u062a\u06cc\u0645 \u0631\u0648\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u062d\u0644\u06cc \u0645\u0627\u060c \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 <code>localhost<\/code>\u060c \u0627\u06af\u0631\u0686\u0647 \u0645\u0631\u0627\u062d\u0644 \u0645\u0634\u0627\u0628\u0647\u06cc \u0628\u0631\u0627\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u062c\u0627\u0632\u06cc \u0631\u0627\u0647 \u062f\u0648\u0631 \u0646\u06cc\u0632 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u06cc\u0646 <code>v1<\/code> \u0646\u0633\u062e\u0647 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u062a\u0648\u0633\u0637 TF Server \u0627\u06cc\u062c\u0627\u062f \u0648 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0645\u06cc \u0634\u0648\u062f \u0648 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0622\u0646 \u0647\u0633\u062a\u06cc\u0645 <code>predict<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>effv2b0<\/code> \u0645\u062f\u0644.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u0648\u0639 \u0645\u062d\u062a\u0648\u0627\u06cc \u0647\u062f\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0631\u062e\u0648\u0627\u0633\u062a HTTP \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">header = {<span class=\"hljs-string\">\"content-type\"<\/span>: <span class=\"hljs-string\">\"application\/json\"<\/span>} \n<\/code><\/pre>\n<p>\u0622\u062e\u0631\u06cc\u0646 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f\u060c \u06a9\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0642\u0648 \u0627\u0632 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f\u060c \u06a9\u0647 \u0628\u0627 \u0641\u0631\u0645\u062a json \u062f\u0648\u0628\u0627\u0631\u0647 \u0645\u0631\u062a\u0628 \u0645\u06cc \u06a9\u0646\u06cc\u0645. <code>json.dumps()<\/code> \u0631\u0648\u0634.  JSON \u062d\u0627\u0635\u0644:<\/p>\n<pre><code class=\"hljs\">batch_json = json.dumps({<span class=\"hljs-string\">\"instances\"<\/span>: x.tolist()}) \n<\/code><\/pre>\n<p>Tensorflow \u0645\u0646\u062a\u0638\u0631 \u06cc\u06a9 json \u0628\u0627 <code>instances<\/code> \u06a9\u0644\u06cc\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u0627\u0645\u06af\u0630\u0627\u0631\u06cc \u0641\u06cc\u0644\u062f \u0627\u0644\u0632\u0627\u0645\u06cc \u0627\u0633\u062a <em>\u0646\u0645\u0648\u0646\u0647 \u0647\u0627<\/em>.<\/p>\n<p>\u062a\u0627 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u067e\u0627\u06cc\u0627\u0646\u06cc\u060c \u06cc\u06a9 \u0647\u062f\u0631 \u0648 \u06cc\u06a9 \u0631\u0634\u062a\u0647 JSON \u0628\u0627 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0627\u0631\u06cc\u0645.  \u0632\u0645\u0627\u0646 \u0622\u0646 \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0647\u0645\u0647 \u0622\u0646 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0648\u0628 \u0628\u0627 \u0647\u0645 \u067e\u06cc\u0648\u0646\u062f \u062f\u0647\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0632 <code>requests.post()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 URL\u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0647\u062f\u0631\u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u062f \u0648 \u067e\u0627\u0633\u062e\u06cc \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">json_res = requests.post(url=endpoint, \n                         data=batch_json, \n                         headers=header)\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u0627\u06cc\u0646 json \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0628\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645 <code>json.loads()<\/code> \u0648 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0645\u062a\u0646 \u0622\u0646 \u0628\u0627 <code>json_res.text<\/code>.  \u067e\u0627\u0633\u062e \u0628\u0631\u06af\u0634\u062a\u06cc \u062f\u0631 \u0642\u0627\u0644\u0628 \u0641\u0631\u0647\u0646\u06af \u0644\u063a\u062a \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">server_preds = json.loads(json_res.text)\n<\/code><\/pre>\n<p>\u0633\u067e\u0633 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u06cc\u0646 \u0641\u0631\u0647\u0646\u06af \u0644\u063a\u062a \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0633\u0631\u0648\u0631 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0627\u0646 \u062f\u06cc\u06a9\u0634\u0646\u0631\u06cc \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645 <code>decode_predictions()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645  \u0641\u0642\u0637 \u062f\u0648 \u0627\u0646\u0637\u0628\u0627\u0642 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f &#8211; \u0627\u0648\u0644\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0622\u0646 \u0627\u0633\u062a <code>predictions<\/code> \u0631\u0627 \u062f\u0631 \u062f\u0627\u062e\u0644 \u062f\u06cc\u06a9\u062a \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f \u0648 \u0633\u067e\u0633 \u0644\u06cc\u0633\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Predicted:'<\/span>, decode_predictions(np.array(server_preds(<span class=\"hljs-string\">'predictions'<\/span>))))\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">Predicted: ((\n('n09332890', 'lakeside', 0.295589358), \n('n09421951', 'sandbar', 0.243745327), \n('n01855672', 'goose', 0.10379523), \n('n02894605', 'breakwater', 0.0317126848), \n('n09428293', 'seashore', 0.0310558397)))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0647\u0645\u0627\u0646 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0627\u0631\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u062f\u0633\u062a\u06af\u0627\u0647 \u062e\u0648\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc\u0645 \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0648\u0628 \u0633\u0631\u0648\u06cc\u0633 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0648 \u0628\u0647 \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0631\u06cc\u0645.  \u0645\u0627\u0645\u0648\u0631\u06cc\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f!<\/p>\n<p>\u06a9\u062f \u0646\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0645\u062f\u0644 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0634\u0631\u062d \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> json\n<span class=\"hljs-keyword\">import<\/span> requests\n\nendpoint = <span class=\"hljs-string\">'http:\/\/localhost:8501\/v1\/models\/effv2b0:predict'<\/span>\nheader = {<span class=\"hljs-string\">\"content-type\"<\/span>: <span class=\"hljs-string\">\"application\/json\"<\/span>} \nbatch_json = json.dumps({<span class=\"hljs-string\">\"instances\"<\/span>: x.tolist()})\n\njson_res = requests.post(url=endpoint, data=batch_json, headers=header)\nserver_preds = json.loads(json_res.text)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Predicted:'<\/span>, decode_predictions(np.array(server_preds(<span class=\"hljs-string\">'predictions'<\/span>))))\n<\/code><\/pre>\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>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0645\u0627 \u06cc\u0627\u062f \u06af\u0631\u0641\u062a\u06cc\u0645 \u06a9\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0686\u06cc\u0633\u062a\u060c \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0648 \u062f\u0631 \u0686\u0647 \u0632\u0645\u06cc\u0646\u0647 \u0627\u06cc \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0631\u0627\u0626\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0628\u0627 Docker \u06cc\u0627\u062f \u06af\u0631\u0641\u062a\u0647\u200c\u0627\u06cc\u0645 \u0648 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0631\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Docker \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0627\u0647\u062f\u0627\u0641 \u0645\u0627 \u0627\u06cc\u062f\u0647 \u062e\u0648\u0628\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u0646\u062c\u0627\u0645 \u062a\u0645\u0627\u0645 \u0645\u0631\u0627\u062d\u0644 \u062a\u0628\u062f\u06cc\u0644 \u062a\u0635\u0648\u06cc\u0631\u060c \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644\u060c \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u060c \u0630\u062e\u06cc\u0631\u0647 \u062d\u0627\u0644\u062a\u060c \u0633\u0631\u0648\u06cc\u0633\u200c\u062f\u0647\u06cc \u0645\u062f\u0644 \u0648 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0648\u0628\u060c \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u06cc\u062f\u06cc\u0645 \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u062f\u06cc\u06af\u0631\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u0686\u0642\u062f\u0631 \u062a\u0644\u0627\u0634 \u06a9\u0645\u06cc \u062f\u0627\u0631\u062f.<\/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 1403-01-01 16:22:04<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;13341&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;\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062f\u0631 \u0633\u0631\u0648\u06cc\u0633 TensorFlow&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\"> 12<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0634\u0645\u0627 \u0628\u062e\u0634\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0627\u06cc \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 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