{"id":104484,"date":"2025-04-04T02:56:40","date_gmt":"2025-04-03T22:26:40","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/"},"modified":"2025-04-04T02:56:40","modified_gmt":"2025-04-03T22:26:40","slug":"how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/","title":{"rendered":"\u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 Tensorflow \u062f\u0631 \u0633\u0627\u0644 2025 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0631\u062f\u061f"},"content":{"rendered":"<div data-article-id=\"2379440\" id=\"article-body\">\n<p>\u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0645\u062f\u0631\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u062a\u0639\u0645\u06cc\u0645 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627 \u06af\u0633\u062a\u0631\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u0648 \u062a\u063a\u06cc\u06cc\u0631\u067e\u0630\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0633\u062a. \u062f\u0631 \u0633\u0627\u0644 2025 \u060c \u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c TensorFlow \u0647\u0645\u0686\u0646\u0627\u0646 \u0627\u0628\u0632\u0627\u0631\u06cc \u067e\u06cc\u0634\u0631\u0648 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0631\u0622\u0645\u062f \u0648 \u0645\u0624\u062b\u0631 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u0631\u0627\u062d\u0644 \u0627\u062c\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 Tensorflow \u0637\u06cc \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter-rtl ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%DA%86%D8%B1%D8%A7_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7%D8%9F\" >\u0686\u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D8%A7%D8%AC%D8%B1%D8%A7%DB%8C_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7_%D8%AF%D8%B1_Tensorflow\" >\u0627\u062c\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 Tensorflow<\/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:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%BE%DB%8C%D8%B4_%D9%86%DB%8C%D8%A7%D8%B2%D9%87%D8%A7%DB%8C\" >\u067e\u06cc\u0634 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%85%D8%B1%D8%AD%D9%84%D9%87_1_%D9%88%D8%A7%D8%B1%D8%AF%D8%A7%D8%AA_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7%DB%8C_%D9%84%D8%A7%D8%B2%D9%85\" >\u0645\u0631\u062d\u0644\u0647 1: \u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0644\u0627\u0632\u0645<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%85%D8%B1%D8%AD%D9%84%D9%87_2_%D8%A7%D8%B3%D8%AA%D8%B1%D8%A7%D8%AA%DA%98%DB%8C_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7%DB%8C_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%AA%D8%B9%D8%B1%DB%8C%D9%81_%DA%A9%D9%86%DB%8C%D8%AF\" >\u0645\u0631\u062d\u0644\u0647 2: \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%85%D8%B1%D8%AD%D9%84%D9%87_3_%D9%85%D8%AC%D9%85%D9%88%D8%B9%D9%87_%D8%AF%D8%A7%D8%AF%D9%87_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%A8%D8%A7%D8%B1%DA%AF%DB%8C%D8%B1%DB%8C_%D9%88_%D8%A2%D9%85%D8%A7%D8%AF%D9%87_%DA%A9%D9%86%DB%8C%D8%AF\" >\u0645\u0631\u062d\u0644\u0647 3: \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%85%D8%B1%D8%AD%D9%84%D9%87_4_%D8%AF%D8%B1_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D9%85%D8%AF%D9%84_%D8%AE%D9%88%D8%AF_%D8%A7%D8%AF%D8%BA%D8%A7%D9%85_%D8%B4%D9%88%DB%8C%D8%AF\" >\u0645\u0631\u062d\u0644\u0647 4: \u062f\u0631 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href=\"https:\/\/nabfollower.com\/blog\/how-to-implement-data-augmentation-in-tensorflow-in-2025-c6l\/#%D9%BE%D8%A7%DB%8C%D8%A7%D9%86\" >\u067e\u0627\u06cc\u0627\u0646<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%DA%86%D8%B1%D8%A7_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7%D8%9F\"><\/span>\n<p>  \u0686\u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u061f<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>\u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f<\/strong>: \u0628\u0627 \u0645\u0639\u0631\u0641\u06cc \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u060c \u0645\u062f\u0644 \u0647\u0627 \u06a9\u0645\u062a\u0631 \u0628\u0647 \u06cc\u0627\u062f \u0633\u0631 \u0648 \u0635\u062f\u0627 \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u0646\u062f \u0648 \u062f\u0631 \u0639\u0648\u0636 \u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0645\u0639\u0646\u06cc \u062f\u0627\u0631 \u0631\u0627 \u0645\u06cc \u0622\u0645\u0648\u0632\u0646\u062f.<\/li>\n<li>\n<strong>\u062f\u0642\u062a \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0628\u062e\u0634\u06cc\u062f<\/strong>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0641\u0632\u0648\u062f\u0647 \u0628\u0647 \u0645\u062f\u0644 \u0647\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u063a\u06cc\u0628 \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u06a9\u0646\u0646\u062f.<\/li>\n<li>\n<strong>\u06af\u0633\u062a\u0631\u0634 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0642\u0631\u0648\u0646 \u0628\u0647 \u0635\u0631\u0641\u0647<\/strong>: \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0627\u0631\u0627\u06cc \u0628\u0631\u0686\u0633\u0628 \u0627\u0636\u0627\u0641\u06cc \u060c \u062a\u0642\u0648\u06cc\u062a \u062a\u0646\u0648\u0639 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0636\u0631\u0628 \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%D8%A7%D8%AC%D8%B1%D8%A7%DB%8C_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7_%D8%AF%D8%B1_Tensorflow\"><\/span>\n<p>  \u0627\u062c\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 Tensorflow<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%D9%BE%DB%8C%D8%B4_%D9%86%DB%8C%D8%A7%D8%B2%D9%87%D8%A7%DB%8C\"><\/span>\n<p>  \u067e\u06cc\u0634 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\n<strong>Tensorflow 2.10+<\/strong>: \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0622\u062e\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647 TensorFlow \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 PIP \u0646\u0635\u0628 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f:\n<\/li>\n<\/ul>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight shell\"><code>  pip <span class=\"nb\">install <\/span>tensorflow\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D8%AD%D9%84%D9%87_1_%D9%88%D8%A7%D8%B1%D8%AF%D8%A7%D8%AA_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7%DB%8C_%D9%84%D8%A7%D8%B2%D9%85\"><\/span>\n<p>  \u0645\u0631\u062d\u0644\u0647 1: \u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0644\u0627\u0632\u0645<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 Tensorflow \u0648 \u0633\u0627\u06cc\u0631 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code><span class=\"kn\">import<\/span> <span class=\"n\">tensorflow<\/span> <span class=\"k\">as<\/span> <span class=\"n\">tf<\/span>\n<span class=\"kn\">from<\/span> <span class=\"n\">tensorflow.keras.preprocessing.image<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">ImageDataGenerator<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D8%AD%D9%84%D9%87_2_%D8%A7%D8%B3%D8%AA%D8%B1%D8%A7%D8%AA%DA%98%DB%8C_%D8%A7%D9%81%D8%B2%D8%A7%DB%8C%D8%B4_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7%DB%8C_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%AA%D8%B9%D8%B1%DB%8C%D9%81_%DA%A9%D9%86%DB%8C%D8%AF\"><\/span>\n<p>  \u0645\u0631\u062d\u0644\u0647 2: \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u062f<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0627 Tensorflow&#39;s <code>ImageDataGenerator<\/code>\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code><span class=\"n\">augmentation_generator<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">ImageDataGenerator<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">rotation_range<\/span><span class=\"o\">=<\/span><span class=\"mi\">20<\/span><span class=\"p\">,<\/span>          <span class=\"c1\"># Randomly rotate images by 20 degrees\n<\/span>    <span class=\"n\">width_shift_range<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.2<\/span><span class=\"p\">,<\/span>      <span class=\"c1\"># Shift images horizontally by 20% of their width\n<\/span>    <span class=\"n\">height_shift_range<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.2<\/span><span class=\"p\">,<\/span>     <span class=\"c1\"># Shift images vertically by 20% of their height\n<\/span>    <span class=\"n\">shear_range<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.15<\/span><span class=\"p\">,<\/span>           <span class=\"c1\"># Shear images by 15%\n<\/span>    <span class=\"n\">zoom_range<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.2<\/span><span class=\"p\">,<\/span>             <span class=\"c1\"># Zoom images by 20%\n<\/span>    <span class=\"n\">horizontal_flip<\/span><span class=\"o\">=<\/span><span class=\"bp\">True<\/span><span class=\"p\">,<\/span>       <span class=\"c1\"># Randomly flip images horizontally\n<\/span>    <span class=\"n\">fill_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">nearest<\/span><span class=\"sh\">'<\/span>         <span class=\"c1\"># Fill missing pixels with the nearest mode\n<\/span><span class=\"p\">)<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D8%AD%D9%84%D9%87_3_%D9%85%D8%AC%D9%85%D9%88%D8%B9%D9%87_%D8%AF%D8%A7%D8%AF%D9%87_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%A8%D8%A7%D8%B1%DA%AF%DB%8C%D8%B1%DB%8C_%D9%88_%D8%A2%D9%85%D8%A7%D8%AF%D9%87_%DA%A9%D9%86%DB%8C%D8%AF\"><\/span>\n<p>  \u0645\u0631\u062d\u0644\u0647 3: \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0646\u062d\u0648\u0647 \u0646\u0642\u0634\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0622\u0631\u0627\u06cc\u0647 numpy \u0631\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc tensorflow \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u062d\u0648\u0647 \u0627\u062f\u063a\u0627\u0645 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0631 \u062e\u0637 \u0644\u0648\u0644\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code>\n<span class=\"n\">train_data<\/span> <span class=\"o\">=<\/span> <span class=\"n\">augmentation_generator<\/span><span class=\"p\">.<\/span><span class=\"nf\">flow_from_directory<\/span><span class=\"p\">(<\/span>\n    <span class=\"sh\">'<\/span><span class=\"s\">path\/to\/your\/dataset<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">target_size<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">150<\/span><span class=\"p\">,<\/span> <span class=\"mi\">150<\/span><span class=\"p\">),<\/span>\n    <span class=\"n\">batch_size<\/span><span class=\"o\">=<\/span><span class=\"mi\">32<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">class_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">binary<\/span><span class=\"sh\">'<\/span>\n<span class=\"p\">)<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D8%AD%D9%84%D9%87_4_%D8%AF%D8%B1_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D9%85%D8%AF%D9%84_%D8%AE%D9%88%D8%AF_%D8%A7%D8%AF%D8%BA%D8%A7%D9%85_%D8%B4%D9%88%DB%8C%D8%AF\"><\/span>\n<p>  \u0645\u0631\u062d\u0644\u0647 4: \u062f\u0631 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u062f\u063a\u0627\u0645 \u0634\u0648\u06cc\u062f<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0641\u0631\u0627\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code><span class=\"n\">model<\/span> <span class=\"o\">=<\/span> <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">models<\/span><span class=\"p\">.<\/span><span class=\"nc\">Sequential<\/span><span class=\"p\">([<\/span>\n    <span class=\"c1\"># Define your model architecture\n<\/span>    <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">layers<\/span><span class=\"p\">.<\/span><span class=\"nc\">Conv2D<\/span><span class=\"p\">(<\/span><span class=\"mi\">32<\/span><span class=\"p\">,<\/span> <span class=\"p\">(<\/span><span class=\"mi\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">),<\/span> <span class=\"n\">activation<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">relu<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">input_shape<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">150<\/span><span class=\"p\">,<\/span> <span class=\"mi\">150<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">)),<\/span>\n    <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">layers<\/span><span class=\"p\">.<\/span><span class=\"nc\">MaxPooling2D<\/span><span class=\"p\">(<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">2<\/span><span class=\"p\">),<\/span>\n    <span class=\"c1\"># Add additional model layers\n<\/span>    <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">layers<\/span><span class=\"p\">.<\/span><span class=\"nc\">Flatten<\/span><span class=\"p\">(),<\/span>\n    <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">layers<\/span><span class=\"p\">.<\/span><span class=\"nc\">Dense<\/span><span class=\"p\">(<\/span><span class=\"mi\">128<\/span><span class=\"p\">,<\/span> <span class=\"n\">activation<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">relu<\/span><span class=\"sh\">'<\/span><span class=\"p\">),<\/span>\n    <span class=\"n\">tf<\/span><span class=\"p\">.<\/span><span class=\"n\">keras<\/span><span class=\"p\">.<\/span><span class=\"n\">layers<\/span><span class=\"p\">.<\/span><span class=\"nc\">Dense<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"n\">activation<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">sigmoid<\/span><span class=\"sh\">'<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">])<\/span>\n\n<span class=\"n\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">compile<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">loss<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">binary_crossentropy<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">optimizer<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">adam<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">metrics<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"sh\">'<\/span><span class=\"s\">accuracy<\/span><span class=\"sh\">'<\/span><span class=\"p\">]<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">fit<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">train_data<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">steps_per_epoch<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">epochs<\/span><span class=\"o\">=<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">validation_data<\/span><span class=\"o\">=<\/span><span class=\"n\">validation_data<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">validation_steps<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/span>\n<span class=\"p\">)<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"%D9%85%D8%B1%D8%AD%D9%84%D9%87_5_%D9%85%D8%AF%D9%84_%D8%AE%D9%88%D8%AF_%D8%B1%D8%A7_%D8%AA%D8%AC%D8%B2%DB%8C%D9%87_%D9%88_%D8%AA%D8%AD%D9%84%DB%8C%D9%84_%D9%88_%D8%A8%D9%87%D8%A8%D9%88%D8%AF_%D8%A8%D8%AE%D8%B4%DB%8C%D8%AF\"><\/span>\n<p>  \u0645\u0631\u062d\u0644\u0647 5: \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0648 \u0628\u0647\u0628\u0648\u062f \u0628\u062e\u0634\u06cc\u062f<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062e\u0648\u062f \u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646 \u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u062c\u0633\u0645 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u062a\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u062c\u0633\u0645 \u0645\u062f\u0644 TensorFlow \u0628\u06cc\u0634\u062a\u0631 \u0628\u062f\u0627\u0646\u06cc\u062f.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%D9%BE%D8%A7%DB%8C%D8%A7%D9%86\"><\/span>\n<p>  \u067e\u0627\u06cc\u0627\u0646<br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0633\u0627\u0644 2025 \u0627\u0628\u0632\u0627\u0631\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0645\u062f\u0644\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a. \u0628\u0627 TensorFlow \u060c \u0627\u062c\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0642\u0648\u06cc \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0633\u062a \u0648 \u0628\u0647 \u062e\u0648\u0628\u06cc \u062f\u0631 \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u062f\u063a\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0627 \u062a\u06a9\u0627\u0645\u0644 \u0641\u0646 \u0622\u0648\u0631\u06cc \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u062f\u0631 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0634\u06cc\u0648\u0647 \u0647\u0627 \u062f\u0631 Tensorflow \u0628\u0631\u0627\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u062f\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u0646\u062d\u0648\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f TensorFlow \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u060c \u067e\u0633\u062a \u062c\u0627\u0645\u0639 \u0645\u0627 \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u06a9\u0627\u0631\u0647\u0627\u06cc \u0686\u06cc\u062f\u0645\u0627\u0646 Tensorflow \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627 \u060c \u0634\u0645\u0627 \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0645\u0634\u06a9\u0644\u0627\u062a \u0641\u0632\u0627\u06cc\u0646\u062f\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c \u0645\u062c\u0647\u0632 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u060c \u0648 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0634\u0645\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062a\u0646\u0648\u0639 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0642\u0648\u06cc \u0648 \u0645\u0624\u062b\u0631 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0645\u062f\u0631\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u062a\u0639\u0645\u06cc\u0645 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627 \u06af\u0633\u062a\u0631\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u0648 \u062a\u063a\u06cc\u06cc\u0631\u067e\u0630\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0633\u062a. \u062f\u0631 \u0633\u0627\u0644 2025 \u060c \u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c TensorFlow \u0647\u0645\u0686\u0646\u0627\u0646 \u0627\u0628\u0632\u0627\u0631\u06cc \u067e\u06cc\u0634\u0631\u0648 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0631\u0622\u0645\u062f \u0648 \u0645\u0624\u062b\u0631 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a. &hellip;<\/p>\n","protected":false},"author":2,"featured_media":104485,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-104484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/104484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=104484"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/104484\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/104485"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=104484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=104484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=104484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}