{"id":14984,"date":"2024-01-07T06:48:09","date_gmt":"2024-01-07T03:18:09","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/"},"modified":"2024-01-07T06:48:09","modified_gmt":"2024-01-07T03:18:09","slug":"split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/","title":{"rendered":"Split Train\u060c Test and Validation sets with TensorFlow Datasets &#8211; tfds"},"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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d8%aa%d8%b3%d8%aa%db%8c\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u06cc<\/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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a7%d8%b9%d8%aa%d8%a8%d8%a7%d8%b1_%d8%b3%d9%86%d8%ac%db%8c\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc<\/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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_tensorflow%d8%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_train%d8%8c_test_%d9%88_validation_%d8%b1%d8%a7_%d8%aa%d9%82%d8%b3%db%8c%d9%85_%da%a9%d9%86%db%8c%d8%af\" >\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc TensorFlow\u060c \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc Train\u060c Test \u0648 Validation \u0631\u0627 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f<\/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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%d8%ad%d8%aa%db%8c_%d8%aa%d9%82%d8%b3%db%8c%d9%85_%d8%a8%d8%b1%d8%a7%db%8c_n_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87\" >\u062d\u062a\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0628\u0631\u0627\u06cc N \u0645\u062c\u0645\u0648\u0639\u0647<\/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\/split-train%d8%8c-test-and-validation-sets-with-tensorflow-datasets-tfds\/#%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\"> 6<\/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><strong><em>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc tensorflow<\/em><\/strong>\u060c \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f <code>tfds<\/code> is \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0628\u0627 \u062a\u0648\u0627\u0628\u0639 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc\u060c \u062a\u0642\u0633\u06cc\u0645 \u0648 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f. <em>\u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/em>\u060c \u062f\u0631 \u062f\u0631\u062c\u0647 \u0627\u0648\u0644 \u0628\u0627 <em>TensorFlow<\/em>.<\/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> \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <em>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc tensorflow<\/em> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f <em>\u06af\u0631\u0641\u062a\u0646<\/em> \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a <em>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634<\/em> \u062f\u0627\u062f\u0647 \u0647\u0627.  \u0622\u0646 \u06a9\u0627\u0631 \u0628\u0647 <em>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc tensorflow<\/em> (<code>tf.data<\/code>) \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0647\u0645\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0627\u06cc \u06a9\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc TensorFlow \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u0622\u06cc\u0646\u062f \u062f\u0631\u0648\u0646 \u0622\u0646 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f <code>tf.data.Dataset<\/code> \u0627\u0634\u06cc\u0627\u0621 &#8211; \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0635\u0648\u0631\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0634\u062f\u0647 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f \u0648 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f!  \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u0648\u0644\u06cc\u0646 \u06af\u0627\u0645 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a <em>\u0642\u0637\u0627\u0631\/\u0622\u0632\u0645\u0648\u0646\/\u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc<\/em> \u0634\u06a9\u0627\u0641.<\/p>\n<blockquote>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0642\u0628\u0644 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0648\u0634 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc\u060c \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u060c \u0622\u0632\u0645\u0627\u06cc\u0634 \u0648 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a. <strong>\u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u0642\u0637\u0627\u0631\/\u0622\u0632\u0645\u0627\u06cc\u0634\/ \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc TensorFlow \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.<\/strong><\/p>\n<\/blockquote>\n<h2 id=\"trainingandtestingsets\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d9%88_%d8%aa%d8%b3%d8%aa%db%8c\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0647\u0646\u06af\u0627\u0645 \u06a9\u0627\u0631 \u0631\u0648\u06cc \u0648\u0638\u0627\u06cc\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a &#8211; \u0634\u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0648\u062c\u0648\u062f\u06cc\u062a \u0647\u0627\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u06cc\u0627 \u062f\u0631 \u06cc\u06a9 \u0648\u0627\u062d\u062f \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f. <code>Dataset<\/code>.  \u0641\u0642\u0637 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0631\u0648\u06cc \u0647\u0645\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062e\u0648\u0628 \u0648 \u0634\u06cc\u06a9 \u0647\u0633\u062a\u0646\u062f &#8211; \u0627\u0645\u0627 \u0634\u0645\u0627 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0642\u062a \u0622\u0646 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u0647\u0645\u0627\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0632\u06cc\u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644\u06cc \u0645\u0627\u0646\u0646\u062f \u0622\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0645\u0641\u06cc\u062f \u0628\u0627\u0634\u062f <em>\u062d\u0641\u0638 \u06a9\u0631\u062f\u0646<\/em> \u0628\u062c\u0627\u06cc <em>\u062a\u0639\u0645\u06cc\u0645<\/em>.<\/p>\n<p>\u062f\u0631 \u0639\u0648\u0636 &#8211; \u0645\u0627 <em>\u0642\u0637\u0627\u0631 &#8211; \u062a\u0639\u0644\u06cc\u0645 \u062f\u0627\u062f\u0646<\/em> \u0645\u062f\u0644 \u0647\u0627 \u0631\u0648\u06cc \u06cc\u06a9 \u0642\u0633\u0645\u062a \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0646\u06af\u0647 \u062f\u0627\u0634\u062a\u0646 \u0628\u062e\u0634\u06cc \u0627\u0632 \u0622\u0646 \u0628\u0647 <em>\u062a\u0633\u062a<\/em> \u0645\u062f\u0644 \u067e\u0633 \u0627\u0632 \u0627\u062a\u0645\u0627\u0645 \u0622\u0645\u0648\u0632\u0634  \u0646\u0633\u0628\u062a \u0628\u06cc\u0646 \u0627\u06cc\u0646 \u062f\u0648 \u0645\u0639\u0645\u0648\u0644\u0627\u064b 80\/20 \u0627\u0633\u062a \u0648 \u0627\u06cc\u0646 \u06cc\u06a9 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0646\u0633\u0628\u062a\u0627 \u0645\u0639\u0642\u0648\u0644 \u0627\u0633\u062a.  \u0628\u0633\u062a\u0647 \u0628\u0647 \u0631\u0648\u06cc \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0633\u0628\u062a \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0645\u0627\u0646\u0646\u062f 60\/40 \u06cc\u0627 \u062d\u062a\u06cc 90\/10 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.  \u0627\u06af\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <em>\u0632\u06cc\u0627\u062f<\/em> \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a\u060c \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062f\u0627\u0634\u062a\u0646 \u062f\u0631\u0635\u062f \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0622\u0646 \u0646\u06cc\u0633\u062a.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u06af\u0631 1\u066a \u200b\u200b\u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 1.000.000 \u0646\u0645\u0648\u0646\u0647 \u0628\u0627\u0634\u062f &#8211; \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0628\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u0627\u06cc\u0646 \u0646\u06cc\u0627\u0632 \u0646\u062f\u0627\u0631\u06cc\u062f!<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627 \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627 &#8211; \u0634\u0645\u0627 \u0627\u0635\u0644\u0627\u064b \u0647\u06cc\u0686 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0646\u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u0634\u062a!  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0647\u0646\u06af\u0627\u0645 \u0622\u0645\u0648\u0632\u0634 <em>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0645\u062a\u062e\u0627\u0635\u0645 \u0645\u0648\u0644\u062f (GAN)<\/em> \u06a9\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u0646\u062f &#8211; \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u062f\u0644 \u0628\u0647 \u0622\u0633\u0627\u0646\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0646\u06cc\u0633\u062a!  \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0644\u062f (\u0645\u0648\u0633\u06cc\u0642\u06cc\u060c \u0645\u062a\u0646\u060c \u0648\u06cc\u062f\u0626\u0648)\u060c \u062d\u062f\u0627\u0642\u0644 \u062a\u0627 \u0628\u0647 \u0627\u0645\u0631\u0648\u0632\u060c \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u06cc\u06a9 \u0627\u0646\u0633\u0627\u0646 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0645\u0648\u0631\u062f \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627 \u0642\u0636\u0627\u0648\u062a \u06a9\u0646\u062f\u060c \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f\u060c <em>\u062a\u0633\u062a<\/em> \u0645\u062c\u0645\u0648\u0639\u0647 \u06a9\u0627\u0645\u0644\u0627 \u0632\u0627\u0626\u062f \u0627\u0633\u062a<\/p>\n<blockquote>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0628\u0627\u06cc\u062f \u0627\u0632 \u0645\u062f\u0644 \u062a\u0627 \u0645\u0631\u062d\u0644\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0641\u0627\u0635\u0644\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u0648 \u0647\u0645\u06cc\u0634\u0647 \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f <strong>\u0627\u0633\u062a\u0646\u062a\u0627\u062c<\/strong> &#8211; \u0646\u0647 <strong>\u0622\u0645\u0648\u0632\u0634<\/strong>.  \u062a\u0639\u0631\u06cc\u0641 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0648 &#8220;\u0641\u0631\u0627\u0645\u0648\u0634 \u06a9\u0631\u062f\u0646&#8221; \u062a\u0627 \u0645\u0631\u0627\u062d\u0644 \u067e\u0627\u06cc\u0627\u0646\u06cc \u06a9\u0647 \u062f\u0642\u062a \u0645\u062f\u0644 \u0631\u0627 \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0645\u0639\u0645\u0648\u0644 \u0627\u0633\u062a.<\/p>\n<\/blockquote>\n<h2 id=\"validationsets\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d8%a7%d8%b9%d8%aa%d8%a8%d8%a7%d8%b1_%d8%b3%d9%86%d8%ac%db%8c\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0622 <strong><em>\u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc<\/em><\/strong>  \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0648 \u06af\u0627\u0647\u06cc \u0646\u0627\u062f\u06cc\u062f\u0647 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u063a\u0644\u0628 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u00ab\u062e\u0627\u0631\u062c \u0627\u0632\u00bb \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0648\u0635\u06cc\u0641 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u062a\u0635\u0648\u0631 \u0622\u0646 \u0631\u0627\u062d\u062a \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u062f\u0631 \u0648\u0627\u0642\u0639 &#8211; \u0622\u0646\u0647\u0627 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647\u200c\u0627\u06cc \u0647\u0633\u062a\u0646\u062f.  \u0647\u06cc\u0686 \u0642\u0627\u0646\u0648\u0646 \u062a\u0646\u0638\u06cc\u0645\u06cc \u0628\u0631\u0627\u06cc \u0646\u0633\u0628\u062a \u062a\u0642\u0633\u06cc\u0645 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0645\u0639\u0645\u0648\u0644 \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u0634\u0627\u0628\u0647 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc\u060c \u06cc\u0627 \u06a9\u0645\u06cc \u06a9\u0648\u0686\u06a9\u062a\u0631 &#8211; \u0647\u0631 \u0686\u06cc\u0632\u06cc \u062f\u0631 \u0627\u0645\u062a\u062f\u0627\u062f \u062e\u0637\u0648\u0637 <em>75\/15\/10<\/em>\u060c <em>70\/15\/15<\/em>\u060c \u0648 <em>70\/20\/10<\/em>.<\/p>\n<p>\u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <em>\u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634<\/em>\u060c \u0628\u0647 <em>\u062a\u0642\u0631\u06cc\u0628\u0627<\/em> \u0627\u0639\u062a\u0628\u0627\u0631 \u0645\u062f\u0644 \u0631\u0648\u06cc \u0647\u0631 \u062f\u0648\u0631\u0647  \u0627\u06cc\u0646 \u0628\u0647 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u0645\u062f\u0644 \u0628\u0627 \u0627\u0631\u0627\u0626\u0647 &#8220;\u0646\u06a9\u0627\u062a&#8221; \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0622\u06cc\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u062e\u0648\u0628\u06cc \u062f\u0627\u0631\u062f \u06cc\u0627 \u062e\u06cc\u0631 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f.  \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646\u060c \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a \u0645\u0646\u062a\u0638\u0631 \u0628\u0645\u0627\u0646\u06cc\u062f \u062a\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u06a9\u0627\u0645\u0644\u06cc \u0627\u0632 \u062f\u0648\u0631\u0647\u200c\u0647\u0627 \u0628\u0647 \u067e\u0627\u06cc\u0627\u0646 \u0628\u0631\u0633\u062f \u062a\u0627 \u0646\u06af\u0627\u0647 \u062f\u0642\u06cc\u0642\u200c\u062a\u0631\u06cc \u0628\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0648\u0627\u0642\u0639\u06cc \u0645\u062f\u0644 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\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> \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f <em>\u0628\u0631\u0627\u06cc<\/em> \u0622\u0645\u0648\u0632\u0634\u060c \u0648 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u0646\u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u062f\u0631 \u0647\u0631 \u0646\u0642\u0637\u0647 \u0645\u0634\u062e\u0635  \u0628\u0631\u0627\u06cc \u062a\u0623\u06cc\u06cc\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u062f\u0631 \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0645\u0639\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0631\u0648\u06cc \u0622\u0645\u0648\u0632\u0634 \u062a\u0627\u062b\u06cc\u0631 \u0645\u06cc \u06af\u0630\u0627\u0631\u062f process\u060c \u0645\u062f\u0644 <em>\u063a\u06cc\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645<\/em> \u0642\u0637\u0627\u0631\u0647\u0627 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0634\u062f <em>\u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644<\/em> \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0642\u0627\u0628\u0644 \u0627\u0639\u062a\u0645\u0627\u062f \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u062a\u0642\u0631\u06cc\u0628\/\u067e\u0631\u0627\u06a9\u0633\u06cc \u062e\u0648\u0628\u06cc \u0628\u0631\u0627\u06cc \u0628\u0647\u200c\u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0628\u0627\u0648\u0631\u0647\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0627\u06cc\u0646 \u0645\u0634\u0627\u0628\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u062f\u0627\u0646\u06cc\u062f \u0686\u0647 \u0632\u0645\u0627\u0646\u06cc \u0627\u0634\u062a\u0628\u0627\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 \u0646\u062f\u0627\u0646\u06cc\u062f \u067e\u0627\u0633\u062e \u062f\u0631\u0633\u062a \u0686\u06cc\u0633\u062a.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u0627 \u0628\u0647\u200c\u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0628\u0627\u0648\u0631\u0647\u0627\u06cc\u062a\u0627\u0646 \u067e\u0633 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0645\u062a\u0648\u062c\u0647 \u0634\u062f\u06cc\u062f \u062d\u0642 \u0628\u0627 \u0634\u0645\u0627 \u0646\u06cc\u0633\u062a\u060c \u0628\u0647 \u062d\u0642\u06cc\u0642\u062a \u0646\u0632\u062f\u06cc\u06a9\u200c\u062a\u0631 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f\u060c \u0628\u062f\u0648\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u0635\u0631\u06cc\u062d\u0627\u064b \u0628\u0647 \u0634\u0645\u0627 \u06af\u0641\u062a\u0647 \u0634\u0648\u062f \u06a9\u0647 \u0686\u06cc\u0633\u062a.  \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc <em>\u063a\u06cc\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645<\/em> \u062f\u0627\u0646\u0634 \u0634\u0645\u0627 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u062f<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc &#8211; \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u062a\u0641\u0633\u06cc\u0631 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0631\u0648\u06cc \u062a\u0641\u0627\u0648\u062a \u0628\u06cc\u0646 \u0635\u062d\u062a \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0648 \u0622\u0645\u0648\u0632\u0634\u060c \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u067e\u0627\u0633\u062e \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0648\u0642\u0641 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0622\u0645\u0648\u0632\u0634\u060c \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u063a\u06cc\u0631\u0647 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"splittraintestandvalidationsetsusingtensorflowdatasets\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_tensorflow%d8%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87%e2%80%8c%d9%87%d8%a7%db%8c_train%d8%8c_test_%d9%88_validation_%d8%b1%d8%a7_%d8%aa%d9%82%d8%b3%db%8c%d9%85_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc TensorFlow\u060c \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc Train\u060c Test \u0648 Validation \u0631\u0627 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06cc\u0646 <code>load()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 <code>tfds<\/code> \u0645\u0627\u0698\u0648\u0644 \u062f\u0631 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0627\u0645 \u0622\u0646 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u0634\u0648\u062f.  \u0627\u06af\u0631 \u0642\u0628\u0644\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0646\u0634\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u062d\u0644\u06cc &#8211; \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0627 \u0646\u0648\u0627\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> tensorflow_datasets <span class=\"hljs-keyword\">as<\/span> tfds\n\n\ndataset, info = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, as_supervised=<span class=\"hljs-literal\">True<\/span>, with_info=<span class=\"hljs-literal\">True<\/span>)\n\n\nclass_names = info.features(<span class=\"hljs-string\">\"label\"<\/span>).names\nn_classes = info.features(<span class=\"hljs-string\">\"label\"<\/span>).num_classes\n\n<span class=\"hljs-built_in\">print<\/span>(class_names) \n<span class=\"hljs-built_in\">print<\/span>(n_classes) \n<\/code><\/pre>\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0647\u0627\u06cc \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0622\u0646 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u062f <code>load()<\/code> \u062a\u0627\u0628\u0639 \u0627\u0633\u062a <code>split<\/code> \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.<\/p>\n<p>\u062c\u062f\u06cc\u062f <em>Split API<\/em> \u0628\u0647 \u0634\u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u06a9\u062f\u0627\u0645 \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u062f <em>\u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f<\/em> \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f.  \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636\u060c \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u0641\u0642\u0637 \u0627\u0632 a \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f <code>'train'<\/code> \u0648 <code>'test'<\/code> \u062a\u0642\u0633\u06cc\u0645 &#8211; \u0627\u06cc\u0646\u0647\u0627 \u0627\u0646\u0634\u0639\u0627\u0628\u0627\u062a &#8220;\u0631\u0633\u0645\u06cc&#8221; \u0647\u0633\u062a\u0646\u062f <em>\u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/em>.  \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f <code>valid<\/code> \u0634\u06a9\u0627\u0641.<\/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> \u0647\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 <em>&#8220;\u0631\u0633\u0645\u06cc&#8221;<\/em> \u0634\u06a9\u0627\u0641.  \u0628\u0631\u062e\u06cc \u0641\u0642\u0637 \u062f\u0627\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 &#8220;\u0642\u0637\u0627\u0631&#8221;\u060c \u0628\u0631\u062e\u06cc \u062f\u0627\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 &#8220;\u0642\u0637\u0627\u0631&#8221; \u0648 &#8220;\u062a\u0633\u062a&#8221; \u0648 \u0628\u0631\u062e\u06cc \u062d\u062a\u06cc \u0634\u0627\u0645\u0644 \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 &#8220;\u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc&#8221; \u0647\u0633\u062a\u0646\u062f.  \u0627\u06cc\u0646 \u0627\u0633\u062a <em>\u0645\u0648\u0631\u062f \u0646\u0638\u0631<\/em> \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u0646\u0647\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a\u06cc \u06a9\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 \u0631\u0634\u062a\u0647 \u0622\u0646 \u062a\u0642\u0633\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.  \u0627\u06af\u0631 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0641\u0642\u0637 \u062d\u0627\u0648\u06cc \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u00ab\u0642\u0637\u0627\u0631\u00bb \u0628\u0627\u0634\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u0628\u062f\u0648\u0646 \u0645\u0634\u06a9\u0644 \u0628\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0642\u0637\u0627\u0631\/\u0622\u0632\u0645\u0627\u06cc\u0634\/\u0645\u0639\u062a\u0628\u0631 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0627\u06cc\u0646\u0647\u0627 \u0628\u0627 <code>tfds.Split.TRAIN<\/code> \u0648 <code>tfds.Split.TEST<\/code> \u0648 <code>tfds.Split.VALIDATION<\/code> enums\u060c \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0627\u0632 \u0637\u0631\u06cc\u0642 API \u062f\u0631 \u0646\u0633\u062e\u0647 \u0642\u0628\u0644\u06cc \u062f\u0631 \u0645\u0639\u0631\u0636 \u062f\u06cc\u062f \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u0631\u0641\u062a.<\/p>\n<p>\u0634\u0645\u0627 \u0648\u0627\u0642\u0639\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06cc\u06a9 \u0631\u0627 \u0628\u0631\u0634 \u062f\u0647\u06cc\u062f <code>Dataset<\/code> \u062f\u0631 \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u062f\u0644\u062e\u0648\u0627\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0633\u0647 \u0645\u0648\u0631\u062f \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645 &#8211; <code>train_set<\/code>\u060c <code>test_set<\/code>\u060c <code>valid_set<\/code>:<\/p>\n<pre><code class=\"hljs\">test_set, valid_set, train_set = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                           split=(<span class=\"hljs-string\">\"test\"<\/span>, <span class=\"hljs-string\">\"train(0%:20%)\"<\/span>, <span class=\"hljs-string\">\"train(20%:)\"<\/span>),\n                                           as_supervised=<span class=\"hljs-literal\">True<\/span>, with_info=<span class=\"hljs-literal\">True<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Train set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(train_set)) \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Test set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(test_set))   \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Valid set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(valid_set)) \n<\/code><\/pre>\n<p>\u06af\u0631\u0641\u062a\u0647 \u0627\u06cc\u0645 <code>'test'<\/code> \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0631\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u062f\u0627\u062e\u0644 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0631\u062f <code>test_set<\/code>.  \u0628\u0631\u0634 \u0628\u06cc\u0646 0\u066a \u0648 20\u066a \u0627\u0632 <code>'train'<\/code> \u062a\u0642\u0633\u06cc\u0645 \u0628\u0647 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a <code>valid_set<\/code> \u0648 \u0647\u0645\u0647 \u0686\u06cc\u0632 \u0641\u0631\u0627\u062a\u0631 \u0627\u0632 25\u066a \u0627\u0633\u062a <code>train_set<\/code>.  \u0627\u06cc\u0646 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0627\u0646\u062f\u0627\u0632\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0646\u06cc\u0632 \u062a\u0623\u06cc\u06cc\u062f \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0628\u0647 \u062c\u0627\u06cc \u062f\u0631\u0635\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0637\u0644\u0642 \u06cc\u0627 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u062f\u0631\u0635\u062f \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0637\u0644\u0642 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">\ntest_set, valid_set, train_set = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                           split=(<span class=\"hljs-string\">\"test\"<\/span>, <span class=\"hljs-string\">\"train(0:10000)\"<\/span>, <span class=\"hljs-string\">\"train(10000:)\"<\/span>),\n                                           as_supervised=<span class=\"hljs-literal\">True<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Train set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(train_set)) \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Test set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(test_set))   \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Valid set size: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(valid_set)) \n\n\n\n\ntest_set, valid_set, train_set = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                           split=(<span class=\"hljs-string\">\"train(:2500)\"<\/span>, \n                                           <span class=\"hljs-string\">\"train(2500:5000)\"<\/span>,    \n                                           <span class=\"hljs-string\">\"train(50%:)\"<\/span>),        \n                                           as_supervised=<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<p>\u0634\u0645\u0627 \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06cc\u06a9 <em>\u0627\u062a\u062d\u0627\u062f. \u0627\u062a\u0635\u0627\u0644<\/em> \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u060c \u06a9\u0647 \u06a9\u0645\u062a\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f\u060c \u0632\u06cc\u0631\u0627 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627 \u0628\u0647 \u0647\u0645 \u0645\u062a\u0635\u0644 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">train_and_test, half_of_train_and_test = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                split=(<span class=\"hljs-string\">'train+test'<\/span>, <span class=\"hljs-string\">'train(:50%)+test'<\/span>),\n                                as_supervised=<span class=\"hljs-literal\">True<\/span>)\n                                \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Train+test: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(train_and_test))               \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Train(:50%)+test: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(half_of_train_and_test)) \n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062f\u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0628\u0647 \u0634\u062f\u062a \u062f\u0631 \u0647\u0645 \u0622\u0645\u06cc\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<h2 id=\"evensplitsfornsets\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%aa%db%8c_%d8%aa%d9%82%d8%b3%db%8c%d9%85_%d8%a8%d8%b1%d8%a7%db%8c_n_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87\"><\/span>\u062d\u062a\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0628\u0631\u0627\u06cc N \u0645\u062c\u0645\u0648\u0639\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0627\u0632 \u0647\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u062f\u0644\u062e\u0648\u0627\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f\u060c \u0641\u0642\u0637 \u0628\u0627 \u0627\u0641\u0632\u0648\u062f\u0646 \u062a\u0642\u0633\u06cc\u0645 \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u0644\u06cc\u0633\u062a \u062a\u0642\u0633\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">split=(<span class=\"hljs-string\">\"train(:10%)\"<\/span>, <span class=\"hljs-string\">\"train(10%:20%)\"<\/span>, <span class=\"hljs-string\">\"train(20%:30%)\"<\/span>, <span class=\"hljs-string\">\"train(30%:40%)\"<\/span>, ...)\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u062a\u0642\u0633\u06cc\u0645\u200c\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f\u060c \u0628\u0647\u200c\u0648\u06cc\u0698\u0647 \u0627\u06af\u0631 \u0632\u0648\u062c \u0628\u0627\u0634\u0646\u062f &#8211; \u0631\u0634\u062a\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0639\u0628\u0648\u0631 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f \u0628\u0633\u06cc\u0627\u0631 \u0642\u0627\u0628\u0644 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0647\u0633\u062a\u0646\u062f.  \u0627\u06cc\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0631\u0634\u062a\u0647 \u0647\u0627\u060c \u0628\u0627 \u06cc\u06a9 \u0628\u0627\u0632\u0647 \u0645\u0633\u0627\u0648\u06cc (\u0645\u0627\u0646\u0646\u062f 10\u066a) \u062f\u0631 \u0639\u0648\u0636 \u062e\u0648\u062f\u06a9\u0627\u0631 \u06a9\u0631\u062f.  \u062f\u0642\u06cc\u0642\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0646\u0638\u0648\u0631\u060c <code>tfds.even_splits()<\/code> \u062a\u0627\u0628\u0639 \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0631\u0634\u062a\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u06cc\u06a9 \u0631\u0634\u062a\u0647 \u067e\u06cc\u0634\u0648\u0646\u062f \u0648 \u062a\u0639\u062f\u0627\u062f \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> tensorflow_datasets <span class=\"hljs-keyword\">as<\/span> tfds\n\ns1, s2, s3, s4, s5 = tfds.even_splits(<span class=\"hljs-string\">'train'<\/span>, n=<span class=\"hljs-number\">5<\/span>)\n\nsplit_list = (s1, s2, s3, s4, s5)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f\"Type: <span class=\"hljs-subst\">{<span class=\"hljs-built_in\">type<\/span>(s1)}<\/span>, contents: '<span class=\"hljs-subst\">{s1}<\/span>'\"<\/span>)\n\n\n<span class=\"hljs-keyword\">for<\/span> split <span class=\"hljs-keyword\">in<\/span> split_list:\n    test_set = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                split=split,\n                                as_supervised=<span class=\"hljs-literal\">True<\/span>)\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f\"Test set length for Split <span class=\"hljs-subst\">{split}<\/span>: \"<\/span>, <span class=\"hljs-built_in\">len<\/span>(test_set))\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647:<\/p>\n<pre><code class=\"hljs\">Test set length for Split train(0%:20%):  10000\nTest set length for Split train(20%:40%):  10000\nTest set length for Split train(40%:60%):  10000\nTest set length for Split train(60%:80%):  10000\nTest set length for Split train(80%:100%):  10000\n<\/code><\/pre>\n<p>\u0645\u062a\u0646\u0627\u0648\u0628\u0627\u060c \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u06a9\u0644 \u067e\u0627\u0633 \u06a9\u0646\u06cc\u062f <code>split_list<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 <code>split<\/code> \u062e\u0648\u062f \u0622\u0631\u06af\u0648\u0645\u0627\u0646\u060c \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0686\u0646\u062f\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062a\u0642\u0633\u06cc\u0645 \u062e\u0627\u0631\u062c \u0627\u0632 \u06cc\u06a9 \u062d\u0644\u0642\u0647:<\/p>\n<pre><code class=\"hljs\">ts1, ts2, ts3, ts4, ts5 = tfds.load(<span class=\"hljs-string\">\"cifar10\"<\/span>, \n                                split=split_list,\n                                as_supervised=<span class=\"hljs-literal\">True<\/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 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u0647\u0645\u06cc\u062a \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0646\u062f\u0627\u062e\u062a\u0647\u200c\u0627\u06cc\u0645.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 API \u062c\u062f\u06cc\u062f Splits \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TensorFlow Datasets \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0648 \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u0642\u0637\u0627\u0631\/\u0622\u0632\u0645\u0648\u0646\/ \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc\u0645.<\/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 1403-01-07 06:48:03<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;14984&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;Split Train\u060c Test and Validation sets with TensorFlow Datasets - tfds&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\"> 6<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc tensorflow\u060c \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f tfds is \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0628\u0627 \u062a\u0648\u0627\u0628\u0639 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc\u060c \u062a\u0642\u0633\u06cc\u0645 \u0648 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f. \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u062f\u0631 \u062f\u0631\u062c\u0647 \u0627\u0648\u0644 \u0628\u0627 TensorFlow. \u062a\u0648\u062c\u0647 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":9162,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-14984","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\/14984","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=14984"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/14984\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/9162"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=14984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=14984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=14984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}