{"id":16677,"date":"2024-01-29T15:50:24","date_gmt":"2024-01-29T12:20:24","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/"},"modified":"2024-01-29T15:50:24","modified_gmt":"2024-01-29T12:20:24","slug":"tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/","title":{"rendered":"TensorFlow: \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627"},"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\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c_%d8%b3%d8%b1%db%8c%d8%b9_%d9%85%d8%af%d9%84_tensorflow\" >\u0645\u0639\u0631\u0641\u06cc \u0633\u0631\u06cc\u0639 \u0645\u062f\u0644 TensorFlow<\/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\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%da%a9%d9%84%d8%a7%d8%b3_saver\" >\u06a9\u0644\u0627\u0633 Saver<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84_%d9%87%d8%a7\" >\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84_%d9%87%d8%a7\" >\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627<\/a><\/li><\/ul><\/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\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d9%81%d8%b1%d9%85%d8%aa_savedmodel\" >\u0641\u0631\u0645\u062a SavedModel<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84_%d9%87%d8%a7_%d8%a8%d8%a7_savedmodel_builder\" >\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 SavedModel Builder<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84_%d9%87%d8%a7_%d8%a8%d8%a7_savedmodel_loader\" >\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 SavedModel Loader<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/tensorflow-%d8%b0%d8%ae%db%8c%d8%b1%d9%87-%d9%88-%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c-%d9%85%d8%af%d9%84-%d9%87%d8%a7\/#%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\"> 5<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u0628\u0633\u062a\u0647 \u0628\u0647 \u0627\u06cc\u0646\u06a9\u0647 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06cc \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f \u0631\u0648\u06cc \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u062f\u0644 \u0634\u0645\u0627\u060c \u0645\u0642\u062f\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u062f\u0627\u0631\u06cc\u062f\u060c \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u062f on\u0648 \u063a\u06cc\u0631\u0647. \u062f\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0645\u0648\u0627\u0642\u0639 \u0628\u0627\u06cc\u062f \u067e\u06cc\u0634\u0631\u0641\u062a \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0635\u0648\u0631\u062a \u0648\u0642\u0641\u0647 (\u06cc\u0627 \u0627\u0634\u06a9\u0627\u0644)\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u06a9\u0627\u0631 \u0631\u0627 \u0645\u062a\u0648\u0642\u0641 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u0627\u062f\u0627\u0645\u0647 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u062d\u062a\u06cc \u0628\u06cc\u0634\u062a\u0631\u060c \u067e\u0633 \u0627\u0632 \u06cc\u06a9 \u0622\u0645\u0648\u0632\u0634 \u0645\u0648\u0641\u0642\u060c \u0645\u0637\u0645\u0626\u0646\u0627\u064b \u0628\u0627\u06cc\u062f \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u062c\u062f\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f  \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u0644\u062a\u0641\u0631\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0627\u0646\u0646\u062f TensorFlow \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0628\u0647 \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u06a9\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0641\u06cc\u062f\u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0631\u0627 \u0634\u0631\u062d \u0645\u06cc \u062f\u0647\u06cc\u0645. \u0631\u0648\u06cc \u0631\u0627\u0647\u060c \u0648 \u0686\u0646\u062f \u0645\u062b\u0627\u0644 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"quickintroductionofthetensorflowmodel\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c_%d8%b3%d8%b1%db%8c%d8%b9_%d9%85%d8%af%d9%84_tensorflow\"><\/span>\u0645\u0639\u0631\u0641\u06cc \u0633\u0631\u06cc\u0639 \u0645\u062f\u0644 TensorFlow<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0635\u0644\u06cc TensorFlow \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f <em>\u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<\/em> &#8211; \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0622\u0646 \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0686\u0646\u062f \u0628\u0639\u062f\u06cc \u062f\u0631 NumPy\u060c \u0648 <em>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627<\/em> &#8211; \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627.  \u0627\u06cc\u0646 \u06cc\u06a9 <em>\u0646\u0645\u0627\u062f\u06cc\u0646<\/em> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u062a\u0639\u0631\u06cc\u0641 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0648 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u0641\u0642\u0637 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0634\u062e\u0635\u06cc \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u0646\u062f \u0648 \u0639\u0645\u0644\u06cc\u0627\u062a \u062f\u0631 \u06cc\u06a9 <em>\u062c\u0644\u0633\u0647<\/em> &#8211; \u0645\u06a9\u0627\u0646\u06cc\u0632\u0645\u06cc \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u062f\u0644 \u0634\u062f\u0647 \u062f\u0631 \u06cc\u06a9 \u06af\u0631\u0627\u0641.  \u0647\u0631 \u0645\u0642\u062f\u0627\u0631 \u0645\u0634\u062e\u0635\u06cc \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u0647\u0646\u06af\u0627\u0645 \u0628\u0633\u062a\u0647 \u0634\u062f\u0646 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0627\u0632 \u0628\u06cc\u0646 \u0645\u06cc \u0631\u0648\u062f\u060c \u06a9\u0647 \u062f\u0644\u06cc\u0644 \u062f\u06cc\u06af\u0631\u06cc \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0634\u0645\u0627 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631\u06a9 \u0622\u0646 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062b\u0627\u0644\u200c\u0647\u0627 \u0647\u0645\u06cc\u0634\u0647 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062f\u0648 \u0628\u0639\u062f\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u0648\u0644\u060c \u0645\u0627 import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0627:<\/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<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n%matplotlib inline\n<\/code><\/pre>\n<p>\u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u0627\u0633\u062a.  \u0645\u0627 \u0645\u062f\u0644\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0641\u0642\u06cc \u0648 \u0639\u0645\u0648\u062f\u06cc \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u062f\u0631\u062c\u0647 \u062f\u0648\u0645 \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0628\u0631\u0622\u0648\u0631\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">y = (x - h) ^ 2 + v\n<\/code><\/pre>\n<p>\u062c\u0627\u06cc\u06cc \u06a9\u0647 <code>h<\/code> \u0648 <code>v<\/code> \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0627\u0641\u0642\u06cc \u0648 \u0639\u0645\u0648\u062f\u06cc \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u062e\u0637\u0648\u0637 \u0632\u06cc\u0631 \u0645\u062f\u0644 \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u0646\u062f (\u0628\u0631\u0627\u06cc \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u0646\u0638\u0631\u0627\u062a \u062f\u0631 \u06a9\u062f \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f):<\/p>\n<pre><code class=\"hljs\">\ntf.reset_default_graph()\n\n\nX = tf.placeholder(<span class=\"hljs-string\">\"float\"<\/span>)\nY = tf.placeholder(<span class=\"hljs-string\">\"float\"<\/span>)\n\n\nh_est = tf.Variable(<span class=\"hljs-number\">0.0<\/span>, name=<span class=\"hljs-string\">'hor_estimate'<\/span>)\nv_est = tf.Variable(<span class=\"hljs-number\">0.0<\/span>, name=<span class=\"hljs-string\">'ver_estimate'<\/span>)\n\n\ny_est = tf.square(X - h_est) + v_est\n\n\ncost = (tf.<span class=\"hljs-built_in\">pow<\/span>(Y - y_est, <span class=\"hljs-number\">2<\/span>))\n\n\n\ntrainop = tf.train.GradientDescentOptimizer(<span class=\"hljs-number\">0.001<\/span>).minimize(cost)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0645\u0627 \u0645\u062f\u0644\u06cc \u062f\u0627\u0631\u06cc\u0645 \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062f\u0631 a \u0627\u062c\u0631\u0627 \u0634\u0648\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/Session\" class=\"broken_link\">\u062c\u0644\u0633\u0647<\/a>\u060c \u0628\u0631\u062e\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0647 \u0622\u0646 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0631\u062c\u0647 \u062f\u0648\u0645 \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0646\u0648\u06cc\u0632 \u0631\u0627 \u0628\u0647 \u0622\u0646 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">\nh = <span class=\"hljs-number\">1<\/span>\nv = -<span class=\"hljs-number\">2<\/span>\n\n\nx_train = np.linspace(-<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">201<\/span>)\nnoise = np.random.randn(*x_train.shape) * <span class=\"hljs-number\">0.4<\/span>\ny_train = (x_train - h) ** <span class=\"hljs-number\">2<\/span> + v + noise\n\n\nplt.rcParams(<span class=\"hljs-string\">'figure.figsize'<\/span>) = (<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">6<\/span>)\nplt.scatter(x_train, y_train)\nplt.xlabel(<span class=\"hljs-string\">'x_train'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'y_train'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-save-and-restore-models-1.png\" alt=\"\u062a\u062e\u0645\u06cc\u0646 \u062a\u0627\u0628\u0639 \u062f\u0631\u062c\u0647 \u062f\u0648\u0645\" title=\"\"><\/p>\n<h2 id=\"thesaverclass\"><span class=\"ez-toc-section\" id=\"%da%a9%d9%84%d8%a7%d8%b3_saver\"><\/span>\u06a9\u0644\u0627\u0633 Saver<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627 <code>Saver<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TensorFlow \u0631\u0648\u0634 \u062a\u0648\u0635\u06cc\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0633\u0627\u062e\u062a\u0627\u0631 \u0648 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u06af\u0631\u0627\u0641 \u0627\u0633\u062a.<\/p>\n<h3 id=\"savingmodels\"><span class=\"ez-toc-section\" id=\"%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84_%d9%87%d8%a7\"><\/span>\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0686\u0646\u062f \u062e\u0637 \u0632\u06cc\u0631 a \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>Saver<\/code> \u0634\u06cc \u0648 \u062f\u0631 \u062f\u0627\u062e\u0644 <code>train_graph()<\/code> \u0631\u0648\u0634 \u0645\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 100 \u062a\u06a9\u0631\u0627\u0631 \u0628\u0631\u0627\u06cc \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0631\u0633\u0627\u0646\u062f\u0646 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647.  \u0633\u067e\u0633 \u0645\u062f\u0644 \u062f\u0631 \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u067e\u0633 \u0627\u0632 \u0627\u062a\u0645\u0627\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u062f\u06cc\u0633\u06a9 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0647\u0631 \u0630\u062e\u06cc\u0631\u0647 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u062f\u06cc\u0633\u06a9\u06cc \u0628\u0647 \u0646\u0627\u0645 \u00ab\u0646\u0642\u0627\u0637 \u0628\u0627\u0632\u0631\u0633\u06cc\u00bb.<\/p>\n<pre><code class=\"hljs\">\nsaver = tf.train.Saver()\n\ninit = tf.global_variables_initializer()\n\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">train_graph<\/span>():<\/span>\n    <span class=\"hljs-keyword\">with<\/span> tf.Session() <span class=\"hljs-keyword\">as<\/span> sess:\n        sess.run(init)\n        <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">100<\/span>):\n            <span class=\"hljs-keyword\">for<\/span> (x, y) <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>(x_train, y_train):\n                \n                \n                sess.run(trainop, feed_dict={X: x, Y: y})\n            \n            \n            saver.save(sess, <span class=\"hljs-string\">'model_iter'<\/span>, global_step=i)\n        \n        \n        saver.save(sess, <span class=\"hljs-string\">'model_final'<\/span>)\n        h_ = sess.run(h_est)\n        v_ = sess.run(v_est)\n    <span class=\"hljs-keyword\">return<\/span> h_, v_\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627 \u062a\u0627\u0628\u0639 \u0628\u0627\u0644\u0627 \u0648 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645 print \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647<\/p>\n<pre><code class=\"hljs\">result = train_graph()\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"h_est = %.2f, v_est = %.2f\"<\/span> % result)\n<\/code><\/pre>\n<pre><code class=\"hljs\">$ python tf_save.py\nh_est = 1.01, v_est = -1.96\n<\/code><\/pre>\n<p>\u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628\u060c \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u06a9\u0627\u0645\u0644\u0627\u064b \u062f\u0642\u06cc\u0642 \u0628\u0631\u0622\u0648\u0631\u062f \u0634\u062f\u0646\u062f.  \u0627\u06af\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0641\u0627\u06cc\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc 4 \u062a\u06a9\u0631\u0627\u0631 \u0622\u062e\u0631 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u062f\u0644 \u0646\u0647\u0627\u06cc\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644\u060c \u0645\u062a\u0648\u062c\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0622\u0646 \u0628\u0647 4 \u0646\u0648\u0639 \u0641\u0627\u06cc\u0644 \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a:<\/p>\n<ul>\n<li>\u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc &#8220;.meta&#8221;: \u062d\u0627\u0648\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0645\u0648\u062f\u0627\u0631<\/li>\n<li>\u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc &#8220;.data&#8221;: \u062d\u0627\u0648\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0647\u0633\u062a\u0646\u062f<\/li>\n<li>\u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc &#8220;.index&#8221;: \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0627\u06cc\u0633\u062a \u0628\u0627\u0632\u0631\u0633\u06cc<\/li>\n<li>\u0641\u0627\u06cc\u0644 &#8220;\u0646\u0642\u0637\u0647 \u0628\u0627\u0632\u0631\u0633\u06cc&#8221;: \u06cc\u06a9 \u0628\u0627\u0641\u0631 \u067e\u0631\u0648\u062a\u06a9\u0644 \u0628\u0627 \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0646\u0642\u0627\u0637 \u0628\u0627\u0632\u0631\u0633\u06cc \u0627\u062e\u06cc\u0631<\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-save-and-restore-models-2.png\" alt=\"\u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647\" title=\"\"><\/p>\n<p><em>\u0634\u06a9\u0644 1: \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0627\u06cc\u0633\u062a \u0628\u0627\u0632\u0631\u0633\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u062f\u0631 \u062f\u06cc\u0633\u06a9<\/em><\/p>\n<p>\u062a\u0645\u0627\u0633 \u06af\u0631\u0641\u062a\u0646 \u0628\u0627 <code>tf.train.Saver()<\/code> \u0631\u0648\u0634\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u062a\u0645\u0627\u0645 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0630\u062e\u06cc\u0631\u0647 \u0632\u06cc\u0631\u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u0634\u0645\u0627 \u0628\u0627 \u0627\u0646\u062a\u0642\u0627\u0644 \u0622\u0646\u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u06cc\u0627 \u06cc\u06a9 \u062f\u06cc\u06a9\u062a \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0627\u0633\u062a\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644: <code>tf.train.Saver({'hor_estimate': h_est})<\/code>.<\/p>\n<p>\u0686\u0646\u062f \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0645\u0641\u06cc\u062f \u062f\u06cc\u06af\u0631 \u0627\u0632 <code>Saver<\/code> \u0633\u0627\u0632\u0646\u062f\u0647\u060c \u06a9\u0647 \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0644 \u0631\u0627 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f process\u060c \u0647\u0633\u062a\u0646\u062f:<\/p>\n<ul>\n<li><code>max_to_keep<\/code>: \u062d\u062f\u0627\u06a9\u062b\u0631 \u062a\u0639\u062f\u0627\u062f \u0627\u06cc\u0633\u062a \u0647\u0627\u06cc \u0628\u0627\u0632\u0631\u0633\u06cc \u0628\u0631\u0627\u06cc \u0646\u06af\u0647\u062f\u0627\u0631\u06cc\u060c<\/li>\n<li><code>keep_checkpoint_every_n_hours<\/code>: \u0641\u0627\u0635\u0644\u0647 \u0632\u0645\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u067e\u0633\u062a \u0647\u0627\u06cc \u0628\u0627\u0632\u0631\u0633\u06cc<\/li>\n<\/ul>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631\u060c \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/versions\/r0.12\/api_docs\/python\/state_ops\/saving_and_restoring_variables\" class=\"broken_link\">\u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc<\/a> \u0628\u0631\u0627\u06cc <code>Saver<\/code> \u06a9\u0644\u0627\u0633\u060c \u06a9\u0647 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0647\u0627\u06cc \u0645\u0641\u06cc\u062f \u062f\u06cc\u06af\u0631\u06cc \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 id=\"restoringmodels\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84_%d9%87%d8%a7\"><\/span>\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0647\u0646\u06af\u0627\u0645 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f\u060c \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0627\u0632 \u0641\u0627\u06cc\u0644 &#8220;.meta&#8221; \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u0639\u0644\u06cc \u0627\u0633\u062a.<\/p>\n<pre><code class=\"hljs\">tf.reset_default_graph()\nimported_meta = tf.train.import_meta_graph(<span class=\"hljs-string\">\"model_final.meta\"<\/span>)\n<\/code><\/pre>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u0639\u0644\u06cc \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u06a9\u0627\u0648\u0634 \u06a9\u0631\u062f <code>tf.get_default_graph()<\/code>.  \u0627\u06a9\u0646\u0648\u0646 \u0645\u0631\u062d\u0644\u0647 \u062f\u0648\u0645 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0627\u0633\u062a.<\/p>\n<p>\u06cc\u06a9 \u06cc\u0627\u062f\u0622\u0648\u0631\u06cc: \u0645\u0642\u0627\u062f\u06cc\u0631 \u0641\u0642\u0637 \u062f\u0631 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">with<\/span> tf.Session() <span class=\"hljs-keyword\">as<\/span> sess:\n    imported_meta.restore(sess, tf.train.latest_checkpoint(<span class=\"hljs-string\">'.\/'<\/span>))\n    h_est2 = sess.run(<span class=\"hljs-string\">'hor_estimate:0'<\/span>)\n    v_est2 = sess.run(<span class=\"hljs-string\">'ver_estimate:0'<\/span>)\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"h_est: %.2f, v_est: %.2f\"<\/span> % (h_est2, v_est2))\n<\/code><\/pre>\n<pre><code class=\"hljs\">$ python tf_restore.py\nINFO:tensorflow:Restoring parameters from .\/model_final\nh_est: 1.01, v_est: -1.96\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0630\u06a9\u0631 \u0634\u062f\u060c \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0641\u0642\u0637 \u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0648 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc &#8220;X&#8221; \u0648 &#8220;Y&#8221; \u0645\u0627 \u0648\u0627\u0631\u062f \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0630\u062e\u06cc\u0631\u0647 \u0646\u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/p>\n<p>\u0628\u0647 \u0647\u0631 \u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062a\u0639\u0631\u06cc\u0641\u200c\u0634\u062f\u0647 \u0627\u0632 \u062e\u0627\u0631\u062c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <code>tf<\/code>\u060c \u0648 \u062a\u0646\u0627\u0633\u0628 \u0645\u062f\u0644 \u0631\u0627 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">plt.scatter(x_train, y_train, label=<span class=\"hljs-string\">'train data'<\/span>)\nplt.plot(x_train, (x_train - h_est2) ** <span class=\"hljs-number\">2<\/span> + v_est2, color=<span class=\"hljs-string\">'red'<\/span>, label=<span class=\"hljs-string\">'model'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'x_train'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'y_train'<\/span>)\nplt.legend()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-save-and-restore-models-3.png\" alt=\"\u0645\u0646\u0627\u0633\u0628 \u0645\u062f\u0644 \u062a\u062c\u0633\u0645 \u0634\u062f\u0647\" title=\"\"><\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062e\u0637 \u067e\u0627\u06cc\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c <code>Saver<\/code> \u06a9\u0644\u0627\u0633 \u06cc\u06a9 \u0631\u0627\u0647 \u0622\u0633\u0627\u0646 \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 TensorFlow (\u06af\u0631\u0627\u0641 \u0648 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627) \u062f\u0631\/\u0627\u0632 \u06cc\u06a9 \u0641\u0627\u06cc\u0644\u060c \u0648 \u0646\u06af\u0647 \u062f\u0627\u0634\u062a\u0646 \u0686\u0646\u062f\u06cc\u0646 \u0686\u06a9 \u067e\u0648\u06cc\u0646\u062a \u0627\u0632 \u06a9\u0627\u0631 \u0634\u0645\u0627 \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u062f\u0644 \u0634\u0645\u0627 \u0645\u0641\u06cc\u062f \u0628\u0627\u0634\u062f\u060c \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f. \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u060c \u0627\u062f\u0627\u0645\u0647 \u0622\u0645\u0648\u0632\u0634 \u0622\u0646 \u0648 \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u0628\u06cc\u0634\u062a\u0631.<\/p>\n<h2 id=\"thesavedmodelformat\"><span class=\"ez-toc-section\" id=\"%d9%81%d8%b1%d9%85%d8%aa_savedmodel\"><\/span>\u0641\u0631\u0645\u062a SavedModel<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062c\u062f\u06cc\u062f \u0628\u0631\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u062f\u0631 TensorFlow \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/github.com\/tensorflow\/tensorflow\/blob\/master\/tensorflow\/python\/saved_model\/README.md\">SavedModel\u060c \u0633\u0627\u0632\u0646\u062f\u0647 \u0648 \u0644\u0648\u062f\u0631<\/a> \u0639\u0645\u0644\u06a9\u0631\u062f.  \u0627\u06cc\u0646 \u062f\u0631 \u0648\u0627\u0642\u0639 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0633\u062a <code>Saver<\/code> \u06a9\u0644\u0627\u0633 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0627\u0631\u0627\u0626\u0647 \u0633\u0631\u06cc\u0627\u0644 \u0633\u0627\u0632\u06cc \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u062a\u0631 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u0647\u062f\u0627\u0641 \u062a\u0648\u0644\u06cc\u062f \u0645\u0646\u0627\u0633\u0628 \u062a\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>SavedModel<\/code> \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0631\u0648\u06cc\u06a9\u0631\u062f \u0647\u0646\u0648\u0632 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644 \u062a\u0648\u0633\u0637 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0633\u0627\u0632\u0646\u062f\u06af\u0627\u0646 \u0622\u0646 \u0627\u0634\u0627\u0631\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f \u06a9\u0647 \u0628\u0647 \u0648\u0636\u0648\u062d \u0622\u06cc\u0646\u062f\u0647 \u0627\u0633\u062a.  \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 <code>Saver<\/code> \u06a9\u0644\u0627\u0633\u060c \u06a9\u0647 \u0639\u0645\u062f\u062a\u0627\u064b \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u060c <code>SavedModel<\/code> \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0641\u06cc\u062f \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0642\u0631\u0627\u0631 \u062f\u0647\u062f\u060c \u0645\u0627\u0646\u0646\u062f <code>Signatures<\/code>\u060c \u06a9\u0647 \u0627\u0645\u06a9\u0627\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0648\u0631\u0648\u062f\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 <code>Assets<\/code> \u062d\u0627\u0648\u06cc \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u062e\u0627\u0631\u062c\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647<\/p>\n<h3 id=\"savingmodelswithsavedmodelbuilder\"><span class=\"ez-toc-section\" id=\"%d8%b0%d8%ae%db%8c%d8%b1%d9%87_%d9%85%d8%af%d9%84_%d9%87%d8%a7_%d8%a8%d8%a7_savedmodel_builder\"><\/span>\u0630\u062e\u06cc\u0631\u0647 \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 SavedModel Builder<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0630\u062e\u06cc\u0631\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>SavedModelBuilder<\/code> \u06a9\u0644\u0627\u0633  \u062f\u0631 \u0645\u062b\u0627\u0644 \u0645\u0627 \u0627\u0632 \u0647\u06cc\u0686 \u0627\u0645\u0636\u0627 \u06cc\u0627 \u062f\u0627\u0631\u0627\u06cc\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0622\u0646 \u06a9\u0627\u0641\u06cc \u0627\u0633\u062a process.<\/p>\n<pre><code class=\"hljs\">tf.reset_default_graph()\n\n\nh_est = tf.Variable(h_est2, name=<span class=\"hljs-string\">'hor_estimate2'<\/span>)\nv_est = tf.Variable(v_est2, name=<span class=\"hljs-string\">'ver_estimate2'<\/span>)\n\n\nbuilder = tf.saved_model.builder.SavedModelBuilder(<span class=\"hljs-string\">'.\/SavedModel\/'<\/span>)\n\n\n<span class=\"hljs-keyword\">with<\/span> tf.Session() <span class=\"hljs-keyword\">as<\/span> sess:\n    sess.run(h_est.initializer)\n    sess.run(v_est.initializer)\n    builder.add_meta_graph_and_variables(sess,\n                                       (tf.saved_model.tag_constants.TRAINING),\n                                       signature_def_map=<span class=\"hljs-literal\">None<\/span>,\n                                       assets_collection=<span class=\"hljs-literal\">None<\/span>)\nbuilder.save()\n<\/code><\/pre>\n<pre><code class=\"hljs\">$ python tf_saved_model_builder.py\nINFO:tensorflow:No assets to save.\nINFO:tensorflow:No assets to write.\nINFO:tensorflow:SavedModel written to: b'.\/SavedModel\/saved_model.pb'\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u062f \u0645\u062a\u0648\u062c\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u062f\u0631 \u0641\u0627\u06cc\u0644\u06cc \u06a9\u0647 \u062f\u0631 &#8220;.\/SavedModel\/saved_model.pb&#8221; \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h3 id=\"restoringmodelswithsavedmodelloader\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%a7%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84_%d9%87%d8%a7_%d8%a8%d8%a7_savedmodel_loader\"><\/span>\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 SavedModel Loader<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>tf.saved_model.loader<\/code> \u0648 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u060c \u0627\u0645\u0636\u0627\u0647\u0627 \u0648 \u062f\u0627\u0631\u0627\u06cc\u06cc \u0647\u0627\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u0645\u062f\u0644 \u0648 \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 print \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0648 \u0636\u0631\u06cc\u0628 \u0645\u0627 \u0631\u0627 \u062e\u0627\u0631\u062c \u06a9\u0646\u06cc\u062f <code>h_est<\/code> \u0648 <code>v_est<\/code>.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">with<\/span> tf.Session() <span class=\"hljs-keyword\">as<\/span> sess:\n    tf.saved_model.loader.load(sess, (tf.saved_model.tag_constants.TRAINING), <span class=\"hljs-string\">'.\/SavedModel\/'<\/span>)\n    h_est = sess.run(<span class=\"hljs-string\">'hor_estimate2:0'<\/span>)\n    v_est = sess.run(<span class=\"hljs-string\">'ver_estimate2:0'<\/span>)\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"h_est: %.2f, v_est: %.2f\"<\/span> % (h_est, v_est))\n<\/code><\/pre>\n<pre><code class=\"hljs\">$ python tf_saved_model_loader.py\nINFO:tensorflow:Restoring parameters from b<span class=\"hljs-string\">'.\/SavedModel\/variables\/variables'<\/span>\nh_est: 1.01, v_est: -1.96\n<\/code><\/pre>\n<p>\u0648 \u062f\u0648\u0628\u0627\u0631\u0647\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0627\u0646\u062a\u0638\u0627\u0631 \u0645\u06cc \u0631\u0641\u062a\u060c \u0645\u062f\u0644 \u0645\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u062f\u0631\u0633\u062a \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0634\u062f.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u06cc\u06a9 \u0645\u062f\u0644 TensorFlow \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a\u060c \u0632\u06cc\u0631\u0627 \u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u06a9\u0647 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0645\u06cc\u0642 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0628\u0628\u0631\u062f.  \u0645\u0648\u0636\u0648\u0639 \u0622\u0646\u0642\u062f\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u062f\u0631 \u06cc\u06a9 \u067e\u0633\u062a \u0648\u0628\u0644\u0627\u06af \u0628\u0647 \u062a\u0641\u0635\u06cc\u0644 \u0622\u0646 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u067e\u0633\u062a \u0628\u0639\u062f\u06cc \u062f\u0648\u0628\u0627\u0631\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0647 \u0647\u0631 \u062d\u0627\u0644 \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u062f\u0648 \u0627\u0628\u0632\u0627\u0631 \u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u06cc\u0645: \u067e\u0627\u06cc\u0647 <code>Saver<\/code> \u06a9\u0644\u0627\u0633\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0627\u06cc\u0633\u062a \u0628\u0627\u0632\u0631\u0633\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 <code>SavedModel<\/code> <code>builder<\/code>\/<code>loader<\/code> \u06a9\u0647 \u0645\u06cc \u0633\u0627\u0632\u062f \u0631\u0648\u06cc \u0628\u0627\u0644\u0627\u06cc <code>Saver<\/code> \u0648 \u06cc\u06a9 \u0633\u0627\u062e\u062a\u0627\u0631 \u0641\u0627\u06cc\u0644 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u062f\u0631 \u062a\u0648\u0644\u06cc\u062f \u0622\u0633\u0627\u0646 \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0645\u062b\u0627\u0644 \u0647\u0627 \u0627\u0632 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0633\u0627\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\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 1403-01-29 15:50:06<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;16677&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;TensorFlow: \u0630\u062e\u06cc\u0631\u0647 \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627&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\"> 5<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0628\u0633\u062a\u0647 \u0628\u0647 \u0627\u06cc\u0646\u06a9\u0647 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06cc \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f \u0631\u0648\u06cc \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u062f\u0644 \u0634\u0645\u0627\u060c \u0645\u0642\u062f\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u062f\u0627\u0631\u06cc\u062f\u060c \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u062f on\u0648 \u063a\u06cc\u0631\u0647. \u062f\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0645\u0648\u0627\u0642\u0639 \u0628\u0627\u06cc\u062f \u067e\u06cc\u0634\u0631\u0641\u062a \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0635\u0648\u0631\u062a \u0648\u0642\u0641\u0647 (\u06cc\u0627 \u0627\u0634\u06a9\u0627\u0644)\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16678,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16677","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16677","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16677"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16677\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16678"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16677"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16677"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}