{"id":16032,"date":"2024-01-20T01:06:24","date_gmt":"2024-01-19T21:36:24","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/"},"modified":"2024-01-20T01:06:24","modified_gmt":"2024-01-19T21:36:24","slug":"%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/","title":{"rendered":"\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06a9\u0631\u0627\u0633"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#autoencoder_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >Autoencoder \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1\" >\u0631\u0645\u0632\u06af\u0630\u0627\u0631<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d8%b1%d9%85%d8%b2%da%af%d8%b4%d8%a7\" >\u0631\u0645\u0632\u06af\u0634\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d8%b3%d8%a7%d8%ae%d8%aa_%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1_%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1\" >\u0633\u0627\u062e\u062a \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631<\/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\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d9%be%db%8c%d8%a7%d8%af%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_autoencoder\" >\u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc Autoencoder<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d8%ad%d8%b0%d9%81_%d9%86%d9%88%db%8c%d8%b2_%d8%aa%d8%b5%d9%88%db%8c%d8%b1\" >\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u062a\u0635\u0648\u06cc\u0631<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87_%d9%87%d8%a7%db%8c_autoencoder\" >\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc Autoencoder<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1%d9%87%d8%a7%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a8%d8%a7%d8%b2%d8%b3%d8%a7%d8%b2%db%8c-%d8%aa%d8%b5%d9%88%db%8c%d8%b1\/#%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\"> 10<\/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>\u0627\u0645\u0631\u0648\u0632\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u062f\u0631 \u0647\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0627\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 &#8211; \u06af\u0648\u0634 \u062f\u0627\u062f\u0646 \u0628\u0647 \u0645\u0648\u0633\u06cc\u0642\u06cc &#8211; \u062d\u062c\u0645 \u0639\u0638\u06cc\u0645\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u06cc\u0645 \u0631\u0648\u06cc Spotify\u060c \u062f\u0631 \u062d\u0627\u0644 \u0645\u0631\u0648\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0648\u0633\u062a\u0627\u0646 \u0631\u0648\u06cc \u0627\u06cc\u0646\u0633\u062a\u0627\u06af\u0631\u0627\u0645\u060c \u06cc\u0627 \u0634\u0627\u06cc\u062f \u062f\u0631 \u062d\u0627\u0644 \u062a\u0645\u0627\u0634\u0627\u06cc \u06cc\u06a9 \u062a\u0631\u06cc\u0644\u0631 \u062c\u062f\u06cc\u062f \u0631\u0648\u06cc \u06cc\u0648\u062a\u06cc\u0648\u0628.  \u0647\u0645\u06cc\u0634\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u0633\u0631\u0648\u0631\u0647\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u06a9\u0627\u0631\u0628\u0631 \u0645\u0634\u06a9\u0644\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0645\u0627 \u062a\u0635\u0648\u0631 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0647\u0632\u0627\u0631\u0627\u0646\u060c \u0627\u06af\u0631 \u0646\u06af\u0648\u06cc\u06cc\u0645 \u0645\u06cc\u0644\u06cc\u0648\u0646 \u0647\u0627\u060c \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u0645\u062f\u06cc\u0631\u06cc\u062a \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u062c\u0631\u06cc\u0627\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0646\u062d\u0648\u06cc \u06a9\u0627\u0647\u0634 \u06cc\u0627\u0628\u062f \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0646\u0638\u0631 \u0641\u06cc\u0632\u06cc\u06a9\u06cc \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645 &#8211; \u0627\u06cc\u0646\u062c\u0627\u0633\u062a \u06a9\u0647 <em>\u0645\u062a\u0631\u0627\u06a9\u0645 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/em> \u0644\u06af\u062f \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u0648 \u0627\u0632 \u0646\u0638\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f \u0648 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0628\u0631\u062e\u06cc \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u0641\u0642\u0637 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0631\u0648\u06cc \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u0639\u0631\u0648\u0641 <em>MPEG-2 Audio Layer III<\/em> \u06a9\u062f\u06a9 (MP3).<\/p>\n<p>\u062f\u0648 \u0646\u0648\u0639 \u0627\u0635\u0644\u06cc \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<ul>\n<li><strong>\u0628\u062f\u0648\u0646 \u0636\u0631\u0631<\/strong>: \u06cc\u06a9\u067e\u0627\u0631\u0686\u06af\u06cc \u0648 \u062f\u0642\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062a\u0631\u062c\u06cc\u062d \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u062d\u062a\u06cc \u0627\u06af\u0631 \u0632\u06cc\u0627\u062f \u00ab\u0631\u06cc\u0634 \u0646\u06a9\u0646\u06cc\u0645\u00bb.<\/li>\n<li><strong>\u0628\u0627\u062e\u062a<\/strong>: \u06cc\u06a9\u067e\u0627\u0631\u0686\u06af\u06cc \u0648 \u062f\u0642\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0633\u0631\u0639\u062a\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0646\u06cc\u0645 \u0645\u0647\u0645 \u0646\u06cc\u0633\u062a &#8211; \u06cc\u06a9 \u0627\u0646\u062a\u0642\u0627\u0644 \u0648\u06cc\u062f\u06cc\u0648\u06cc \u0628\u06cc\u200c\u062f\u0631\u0646\u06af \u0631\u0627 \u062a\u0635\u0648\u0631 \u06a9\u0646\u06cc\u062f\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u00ab\u0632\u0646\u062f\u0647\u00bb \u0628\u0648\u062f\u0646 \u0645\u0647\u0645\u200c\u062a\u0631 \u0627\u0632 \u062f\u0627\u0634\u062a\u0646 \u0648\u06cc\u062f\u06cc\u0648\u06cc \u0628\u0627 \u06a9\u06cc\u0641\u06cc\u062a \u0628\u0627\u0644\u0627 \u0627\u0633\u062a.<\/li>\n<\/ul>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631<\/em>\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u06cc\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u062c\u0632\u06cc\u0647 \u06a9\u0631\u062f\u0647 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u06a9\u062f 32 \u0628\u0631\u062f\u0627\u0631\u06cc \u0632\u06cc\u0631 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645.  \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0644\u0628\u062a\u0647 \u0627\u06cc\u0646 \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u0627\u0633\u062a <em>\u0632\u06cc\u0627\u0646 \u062f\u0647<\/em> \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc\u060c \u0632\u06cc\u0631\u0627 \u0645\u0627 \u0645\u0642\u062f\u0627\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-1.png\" alt=\"\u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u06a9\u0645\" title=\"\"><\/p>\n<p>\u0627\u06af\u0631\u0686\u0647\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062f\u0642\u06cc\u0642\u0627\u064b \u0627\u0632 \u0647\u0645\u0627\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0642\u06cc\u0642\u200c\u062a\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0628\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u0641\u0636\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-2.png\" alt=\"\u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u0628\u0627\u0644\u0627\" title=\"\"><\/p>\n<h2 id=\"whatareautoencoders\"><span class=\"ez-toc-section\" id=\"autoencoder_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>Autoencoder \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\u060c \u0637\u0628\u0642 \u062a\u0639\u0631\u06cc\u0641\u060c \u062a\u06a9\u0646\u06cc\u06a9\u06cc \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a.  \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc\u060c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (\u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u062a\u0635\u0627\u0648\u06cc\u0631) \u0631\u0627 \u0628\u0647 \u0628\u06cc\u062a\u200c\u0647\u0627\u06cc \u0646\u0633\u0628\u062a\u0627\u064b \u06a9\u0648\u0686\u06a9\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062a\u062c\u0632\u06cc\u0647 \u06a9\u0646\u062f \u0648 \u0633\u067e\u0633 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0646\u0645\u0627\u06cc\u0634\u060c \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0631\u0627 \u062a\u0627 \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0647 \u0627\u0635\u0644\u06cc \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0648 \u062c\u0632\u0621 \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f:<\/p>\n<ul>\n<li><strong>\u0631\u0645\u0632\u06af\u0630\u0627\u0631<\/strong>: \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0648\u0631\u0648\u062f\u06cc \u0627\u0635\u0644\u06cc \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06a9\u0648\u0686\u06a9 \u0641\u0634\u0631\u062f\u0647 \u06a9\u0646\u062f<\/li>\n<li><strong>\u0631\u0645\u0632\u06af\u0634\u0627<\/strong>: \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0631\u0627 \u0627\u0632 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 <strong>\u0631\u0645\u0632\u06af\u0630\u0627\u0631<\/strong><\/li>\n<\/ul>\n<p>\u0627\u06cc\u0646 \u062f\u0648 \u0628\u0627 \u0647\u0645 \u062f\u0631 \u0647\u0645\u0632\u06cc\u0633\u062a\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f \u062a\u0627 \u06a9\u0627\u0631\u0622\u0645\u062f\u062a\u0631\u06cc\u0646 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u0646\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u062f\u0648\u0646 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0645\u0642\u062f\u0627\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0622\u0646 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-3.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><\/p>\n<p><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.researchgate.net\/profile\/Jeremie_Sublime\/publication\/333038461\/figure\/fig3\/AS:757767321169921@1557677216019\/Basic-architecture-of-a-single-layer-autoencoder-made-of-an-encoder-going-from-the-input.ppm\">\u062f\u0631\u0648\u0627\u0632\u0647 \u062a\u062d\u0642\u06cc\u0642<\/a><\/small><\/p>\n<h2 id=\"encoder\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1\"><\/span>\u0631\u0645\u0632\u06af\u0630\u0627\u0631<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627 <em>\u0631\u0645\u0632\u06af\u0630\u0627\u0631<\/em> \u0648\u0638\u06cc\u0641\u0647 \u06cc\u0627\u0641\u062a\u0646 \u06a9\u0648\u0686\u06a9\u062a\u0631\u06cc\u0646 \u0646\u0645\u0627\u06cc\u0634 \u0645\u0645\u06a9\u0646 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u062f &#8211; \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0628\u0631\u062c\u0633\u062a\u0647 \u062a\u0631\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0648 \u0646\u0645\u0627\u06cc\u0634 \u0622\u0646 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u06a9\u0647 \u0631\u0645\u0632\u06af\u0634\u0627 \u0628\u062a\u0648\u0627\u0646\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0647 \u0627\u06cc\u0646 \u0641\u06a9\u0631 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u0646\u06af\u0627\u0631 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0686\u06cc\u0632\u06cc \u0631\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0628\u0633\u067e\u0627\u0631\u06cc\u062f\u060c \u0645\u062b\u0644\u0627\u064b \u06cc\u06a9 \u0639\u062f\u062f \u0628\u0632\u0631\u06af \u0631\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0628\u0633\u067e\u0627\u0631\u06cc\u062f &#8211; \u0633\u0639\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f \u0627\u0644\u06af\u0648\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u0622\u0646 \u0628\u06cc\u0627\u0628\u06cc\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0627\u0644\u06af\u0648 \u0631\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0628\u0633\u067e\u0627\u0631\u06cc\u062f \u0648 \u06a9\u0644 \u062f\u0646\u0628\u0627\u0644\u0647 \u0631\u0627 \u0627\u0632 \u0622\u0646 \u0627\u0644\u06af\u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0632\u06cc\u0631\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0633\u067e\u0631\u062f\u0646 \u06cc\u06a9 \u0639\u062f\u062f \u06a9\u0648\u062a\u0627\u0647\u200c\u062a\u0631 \u0622\u0633\u0627\u0646 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f. \u0627\u0644\u06af\u0648\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0639\u062f\u062f \u06a9\u0627\u0645\u0644<\/p>\n<p>\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627 \u062f\u0631 \u0633\u0627\u062f\u0647 \u062a\u0631\u06cc\u0646 \u0634\u06a9\u0644 \u062e\u0648\u062f \u0633\u0627\u062f\u0647 \u0647\u0633\u062a\u0646\u062f <em>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<\/em> (ANN).  \u0627\u06af\u0631\u0686\u0647\u060c \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0627\u0635\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f \u06a9\u0647 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f <em>\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644<\/em> (CNNs)\u060c \u06a9\u0647 \u06cc\u06a9 \u0646\u0648\u0639 \u0628\u0633\u06cc\u0627\u0631 \u062e\u0627\u0635 \u0627\u0632 ANN \u0627\u0633\u062a.<\/p>\n<p>\u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u06cc\u06a9 \u0646\u0633\u062e\u0647 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0632 \u0622\u0646 &#8211; \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0641\u0634\u0631\u062f\u0647 \u0634\u062f\u0647 &#8211; \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f.  \u0633\u067e\u0633 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0641\u0634\u0631\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0631\u0633\u0627\u0644 \u0622\u0646 \u0628\u0647 \u06a9\u0627\u0631\u0628\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0631\u0645\u0632\u06af\u0634\u0627\u06cc\u06cc \u0648 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc a \u0628\u06cc\u0627\u0646\u062f\u0627\u0632\u06cc\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/vis-www.cs.umass.edu\/lfw\/\">LFW<\/a> \u0646\u0645\u0648\u0646\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/stackabuse.s3.amazonaws.com\/media\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-4.png\" alt=\"\u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647\" title=\"\"><\/p>\n<p>\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0631\u0627\u06cc \u0645\u0627 \u0686\u0646\u062f\u0627\u0646 \u0645\u0646\u0637\u0642\u06cc \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0634\u0627 \u06a9\u0627\u0641\u06cc \u0627\u0633\u062a.  \u062d\u0627\u0644\u060c \u0637\u0631\u062d \u0627\u06cc\u0646 \u0633\u0624\u0627\u0644 \u0635\u062d\u06cc\u062d \u0627\u0633\u062a:<\/p>\n<blockquote>\n<p>\u0627\u0645\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0686\u06af\u0648\u0646\u0647 \u0628\u0648\u062f <em>\u0641\u0631\u0627 \u06af\u0631\u0641\u062a\u0646<\/em> \u0628\u0631\u0627\u06cc \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0647 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a\u061f<\/p>\n<\/blockquote>\n<p>\u0627\u06cc\u0646\u062c\u0627\u0633\u062a \u06a9\u0647 \u0647\u0645\u0632\u06cc\u0633\u062a\u06cc \u062f\u0631 \u062d\u06cc\u0646 \u062a\u0645\u0631\u06cc\u0646 \u0645\u0637\u0631\u062d \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h2 id=\"decoder\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%85%d8%b2%da%af%d8%b4%d8%a7\"><\/span>\u0631\u0645\u0632\u06af\u0634\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627 <em>\u0631\u0645\u0632\u06af\u0634\u0627<\/em> \u0628\u0647 \u0631\u0648\u0634\u06cc \u0645\u0634\u0627\u0628\u0647 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u0628\u0631\u0639\u06a9\u0633.  \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u062f \u0628\u0647 \u062c\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f\u060c \u0627\u06cc\u0646 \u0646\u0645\u0627\u06cc\u0634 \u0647\u0627\u06cc \u06a9\u062f \u0641\u0634\u0631\u062f\u0647 \u0631\u0627 \u0628\u062e\u0648\u0627\u0646\u062f \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u062f \u0631\u0648\u06cc \u0622\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a  \u0628\u062f\u06cc\u0647\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0647\u062f\u0641 \u0622\u0646 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0631\u0633\u0627\u0646\u062f\u0646 \u0636\u0631\u0631 \u062f\u0631 \u062d\u06cc\u0646 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0627 \u0645\u0642\u0627\u06cc\u0633\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0634\u062f\u0647 \u0628\u0627 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0637\u0627\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639 (MSE) \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc \u0634\u0648\u062f &#8211; \u0647\u0631 \u0686\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0634\u0628\u06cc\u0647 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0628\u0627\u0634\u062f\u060c \u062e\u0637\u0627 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647\u060c \u0645\u0627 \u0628\u0647 \u0639\u0642\u0628 \u0627\u0646\u062a\u0634\u0627\u0631 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u062a\u0645\u0627\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0631\u0627 \u0627\u0632 \u0631\u0645\u0632\u06af\u0634\u0627 \u0628\u0647 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0628\u0647 \u0631\u0648\u0632 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0648\u06cc \u062a\u0641\u0627\u0648\u062a \u0628\u06cc\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc\u060c \u0631\u0645\u0632\u06af\u0634\u0627 \u0648 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0647\u0631 \u062f\u0648 \u062f\u0631 \u06a9\u0627\u0631 \u062e\u0648\u062f \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0647\u062a\u0631 \u0634\u062f\u0646 \u0628\u0647 \u0631\u0648\u0632 \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<h2 id=\"buildinganautoencoder\"><span class=\"ez-toc-section\" id=\"%d8%b3%d8%a7%d8%ae%d8%aa_%d8%b1%d9%85%d8%b2%da%af%d8%b0%d8%a7%d8%b1_%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1\"><\/span>\u0633\u0627\u062e\u062a \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/keras.io\/\">\u06a9\u0631\u0627\u0633<\/a> \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0631\u0627 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u06cc\u0646 \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0648\u06cc \u0647\u0645 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645 &#8211; \u06a9\u0647 \u0645\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.<\/p>\n<p>\u0627\u0628\u062a\u062f\u0627 \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f Keras \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645 pip:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> pip install keras<\/span>\n<\/code><\/pre>\n<h3 id=\"preprocessingdata\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0648\u0628\u0627\u0631\u0647\u060c \u0645\u0627 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/vis-www.cs.umass.edu\/lfw\/\">\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 LFW<\/a>.  \u0637\u0628\u0642 \u0645\u0639\u0645\u0648\u0644\u060c \u0628\u0627 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646\u060c \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\u0645\u0627\u0646 \u0628\u062a\u0648\u0627\u0646\u062f \u06a9\u0627\u0631 \u062e\u0648\u062f \u0631\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u060c \u0627\u0628\u062a\u062f\u0627 \u0686\u0646\u062f \u0645\u0633\u06cc\u0631 \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u0627 \u0645\u0646\u062a\u0647\u06cc \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">\nATTRS_NAME = <span class=\"hljs-string\">\"lfw_attributes.txt\"<\/span>\n\n\nIMAGES_NAME = <span class=\"hljs-string\">\"lfw-deepfunneled.tgz\"<\/span>\n\n\nRAW_IMAGES_NAME = <span class=\"hljs-string\">\"lfw.tgz\"<\/span>\n<\/code><\/pre>\n<p>\u0633\u067e\u0633\u060c \u0645\u0627 \u0627\u0632 \u062f\u0648 \u062a\u0627\u0628\u0639 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 &#8211; \u06cc\u06a9\u06cc \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u0627\u062a\u0631\u06cc\u0633 \u062e\u0627\u0645 \u0628\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u062a\u063a\u06cc\u06cc\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0631\u0646\u06af \u0628\u0647 RGB:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">decode_image_from_raw_bytes<\/span>(<span class=\"hljs-params\">raw_bytes<\/span>):<\/span>\n    img = cv2.imdecode(np.asarray(<span class=\"hljs-built_in\">bytearray<\/span>(raw_bytes), dtype=np.uint8), <span class=\"hljs-number\">1<\/span>)\n    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n    <span class=\"hljs-keyword\">return<\/span> img\n<\/code><\/pre>\n<p>\u0648 \u062f\u06cc\u06af\u0631\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u062a\u0637\u0628\u06cc\u0642 \u0622\u0646 \u0628\u0627 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0645\u0627:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">load_lfw_dataset<\/span>(<span class=\"hljs-params\">\n        use_raw=<span class=\"hljs-literal\">False<\/span>,\n        dx=<span class=\"hljs-number\">80<\/span>, dy=<span class=\"hljs-number\">80<\/span>,\n        dimx=<span class=\"hljs-number\">45<\/span>, dimy=<span class=\"hljs-number\">45<\/span><\/span>):<\/span>\n\n    \n    df_attrs = pd.read_csv(ATTRS_NAME, sep=<span class=\"hljs-string\">'\\t'<\/span>, skiprows=<span class=\"hljs-number\">1<\/span>)\n    df_attrs = pd.DataFrame(df_attrs.iloc(:, :-<span class=\"hljs-number\">1<\/span>).values, columns=df_attrs.columns(<span class=\"hljs-number\">1<\/span>:))\n    imgs_with_attrs = <span class=\"hljs-built_in\">set<\/span>(<span class=\"hljs-built_in\">map<\/span>(<span class=\"hljs-built_in\">tuple<\/span>, df_attrs((<span class=\"hljs-string\">\"person\"<\/span>, <span class=\"hljs-string\">\"imagenum\"<\/span>)).values))\n\n    \n    all_photos = ()\n    photo_ids = ()\n\n    \n    \n    <span class=\"hljs-keyword\">with<\/span> tarfile.<span class=\"hljs-built_in\">open<\/span>(RAW_IMAGES_NAME <span class=\"hljs-keyword\">if<\/span> use_raw <span class=\"hljs-keyword\">else<\/span> IMAGES_NAME) <span class=\"hljs-keyword\">as<\/span> f:\n        <span class=\"hljs-keyword\">for<\/span> m <span class=\"hljs-keyword\">in<\/span> tqdm.tqdm_notebook(f.getmembers()):\n            \n            <span class=\"hljs-keyword\">if<\/span> m.isfile() <span class=\"hljs-keyword\">and<\/span> m.name.endswith(<span class=\"hljs-string\">\".jpg\"<\/span>):\n                \n                img = decode_image_from_raw_bytes(f.extractfile(m).read())\n\n                \n                img = img(dy:-dy, dx:-dx)\n                img = cv2.resize(img, (dimx, dimy))\n\n                \n                fname = os.path.split(m.name)(-<span class=\"hljs-number\">1<\/span>)\n                fname_splitted = fname(:-<span class=\"hljs-number\">4<\/span>).replace(<span class=\"hljs-string\">'_'<\/span>, <span class=\"hljs-string\">' '<\/span>).split()\n                person_id = <span class=\"hljs-string\">' '<\/span>.join(fname_splitted(:-<span class=\"hljs-number\">1<\/span>))\n                photo_number = <span class=\"hljs-built_in\">int<\/span>(fname_splitted(-<span class=\"hljs-number\">1<\/span>))\n                <span class=\"hljs-keyword\">if<\/span> (person_id, photo_number) <span class=\"hljs-keyword\">in<\/span> imgs_with_attrs:\n                    all_photos.append(img)\n                    photo_ids.append({<span class=\"hljs-string\">'person'<\/span>: person_id, <span class=\"hljs-string\">'imagenum'<\/span>: photo_number})\n\n    photo_ids = pd.DataFrame(photo_ids)\n    all_photos = np.stack(all_photos).astype(<span class=\"hljs-string\">'uint8'<\/span>)\n\n    \n    all_attrs = photo_ids.merge(df_attrs, \u0631\u0648\u06cc=(<span class=\"hljs-string\">'person'<\/span>, <span class=\"hljs-string\">'imagenum'<\/span>)).drop((<span class=\"hljs-string\">\"person\"<\/span>, <span class=\"hljs-string\">\"imagenum\"<\/span>), axis=<span class=\"hljs-number\">1<\/span>)\n\n    <span class=\"hljs-keyword\">return<\/span> all_photos, all_attrs\n<\/code><\/pre>\n<h3 id=\"implementingtheautoencoder\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%a7%d8%af%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_autoencoder\"><\/span>\u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc Autoencoder<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\nX, attr = load_lfw_dataset(use_raw=<span class=\"hljs-literal\">True<\/span>, dimx=<span class=\"hljs-number\">32<\/span>, dimy=<span class=\"hljs-number\">32<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u062f\u0631 <code>X<\/code> \u0645\u0627\u062a\u0631\u06cc\u0633\u060c \u0628\u0647 \u0634\u06a9\u0644 \u06cc\u06a9 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0647 \u0628\u0639\u062f\u06cc\u060c \u06a9\u0647 \u0646\u0645\u0627\u06cc\u0634 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0628\u0631\u0627\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 RGB \u0627\u0633\u062a.  \u0628\u0627 \u0627\u0631\u0627\u0626\u0647 \u0633\u0647 \u0645\u0627\u062a\u0631\u06cc\u0633 &#8211; \u0642\u0631\u0645\u0632\u060c \u0633\u0628\u0632 \u0648 \u0622\u0628\u06cc\u060c \u062a\u0631\u06a9\u06cc\u0628 \u0627\u06cc\u0646 \u0633\u0647 \u0631\u0646\u06af \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0632\u0631\u06af\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0627\u0634\u062a \u06a9\u0647 \u0627\u0632 0 \u062a\u0627 255 \u0645\u062a\u063a\u06cc\u0631 \u0627\u0633\u062a. \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0645\u0627 \u062a\u0645\u0627\u06cc\u0644 \u062f\u0627\u0631\u06cc\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u06a9\u0648\u0686\u06a9 \u0648 \u062d\u0648\u0644 \u0645\u062d\u0648\u0631 0 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 \u0627\u06cc\u0646 \u0628\u0647 \u0645\u062f\u0644 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0646\u062f \u0648 \u0646\u062a\u0627\u06cc\u062c \u0628\u0647\u062a\u0631\u06cc \u0628\u06af\u06cc\u0631\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u062e\u0648\u062f \u0631\u0627 \u0639\u0627\u062f\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">X = X.astype(<span class=\"hljs-string\">'float32'<\/span>) \/ <span class=\"hljs-number\">255.0<\/span> - <span class=\"hljs-number\">0.5<\/span>\n<\/code><\/pre>\n<p>\u062a\u0627 \u0627\u0644\u0627\u0646 \u0627\u06af\u0647 \u062a\u0633\u062a \u06a9\u0646\u06cc\u0645 <code>X<\/code> \u0622\u0631\u0627\u06cc\u0647 \u0628\u0631\u0627\u06cc \u062d\u062f\u0627\u0642\u0644 \u0648 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0622\u0646 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f <code>-.5<\/code> \u0648 <code>.5<\/code>\u060c \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0623\u06cc\u06cc\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(X.<span class=\"hljs-built_in\">max<\/span>(), X.<span class=\"hljs-built_in\">min<\/span>())\n<\/code><\/pre>\n<pre><code class=\"hljs\">0.5 -0.5\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645\u060c a \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>show_image<\/code> \u062a\u0627\u0628\u0639.  \u0627\u0636\u0627\u0641\u0647 \u062e\u0648\u0627\u0647\u062f \u06a9\u0631\u062f <code>0.5<\/code> \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0632\u06cc\u0631\u0627 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0646\u0641\u06cc \u0628\u0627\u0634\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">show_image<\/span>(<span class=\"hljs-params\">x<\/span>):<\/span>\n    plt.imshow(np.clip(x + <span class=\"hljs-number\">0.5<\/span>, <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">1<\/span>))\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u06af\u0630\u0631\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">show_image(X(<span class=\"hljs-number\">6<\/span>))\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/stackabuse.s3.amazonaws.com\/media\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-5.png\" alt=\"\u0686\u0647\u0631\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647\" title=\"\"><\/p>\n<p>\u0639\u0627\u0644\u06cc \u0627\u0633\u062a\u060c \u0627\u06a9\u0646\u0648\u0646 \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\nX_train, X_test = train_test_split(X, test_size=<span class=\"hljs-number\">0.1<\/span>, random_state=<span class=\"hljs-number\">42<\/span>)\n<\/code><\/pre>\n<p>\u0631\u0627 <code>sklearn<\/code> <code>train_test_split()<\/code>  \u062a\u0627\u0628\u0639 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0627 \u062f\u0627\u062f\u0646 \u0646\u0633\u0628\u062a \u062a\u0633\u062a \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u062f \u0648 \u0628\u0642\u06cc\u0647\u060c \u0627\u0644\u0628\u062a\u0647\u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a.  \u0631\u0627 <code>random_state<\/code>\u060c \u06a9\u0647 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f\u060c \u0635\u0631\u0641 \u0646\u0638\u0631 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f \u0631\u0627 \u0686\u0646\u062f \u0628\u0627\u0631 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u062a\u0627\u06cc\u062c \u06cc\u06a9\u0633\u0627\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u062d\u0627\u0644\u0627 \u0646\u0648\u0628\u062a \u0645\u062f\u0644 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> keras.layers <span class=\"hljs-keyword\">import<\/span> Dense, Flatten, Reshape, Input, InputLayer\n<span class=\"hljs-keyword\">from<\/span> keras.models <span class=\"hljs-keyword\">import<\/span> Sequential, Model\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">build_autoencoder<\/span>(<span class=\"hljs-params\">img_shape, code_size<\/span>):<\/span>\n    \n    encoder = Sequential()\n    encoder.add(InputLayer(img_shape))\n    encoder.add(Flatten())\n    encoder.add(Dense(code_size))\n\n    \n    decoder = Sequential()\n    decoder.add(InputLayer((code_size,)))\n    decoder.add(Dense(np.prod(img_shape))) \n    decoder.add(Reshape(img_shape))\n\n    <span class=\"hljs-keyword\">return<\/span> encoder, decoder\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u06cc\u06a9 <code>image_shape<\/code> (\u0627\u0628\u0639\u0627\u062f \u062a\u0635\u0648\u06cc\u0631) \u0648 <code>code_size<\/code> (\u0627\u0646\u062f\u0627\u0632\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062e\u0631\u0648\u062c\u06cc) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631.  \u0634\u06a9\u0644 \u062a\u0635\u0648\u06cc\u0631\u060c \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f <code>(32, 32, 3)<\/code> \u062c\u0627\u06cc\u06cc \u06a9\u0647 <code>32<\/code> \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0639\u0631\u0636 \u0648 \u0627\u0631\u062a\u0641\u0627\u0639 \u0648  <code>3<\/code> \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0627\u06cc \u06a9\u0627\u0646\u0627\u0644 \u0631\u0646\u06af \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u06af\u0641\u062a\u0647 \u0634\u062f\u060c \u062a\u0635\u0648\u06cc\u0631 \u0645\u0627 \u062f\u0627\u0631\u062f <code>3072<\/code> \u0627\u0628\u0639\u0627\u062f<\/p>\n<p>\u0645\u0646\u0637\u0642\u0627\u064b \u0647\u0631 \u0686\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0628\u0627\u0634\u062f <code>code_size<\/code> \u0627\u0633\u062a\u060c \u062a\u0635\u0648\u06cc\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0641\u0634\u0631\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u0627\u0645\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627\u0632\u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0632 \u0627\u0635\u0644\u06cc \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p>\u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc Keras \u0627\u0633\u0627\u0633\u0627\u064b \u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0648\u062f\u0646 \u0645\u062a\u0648\u0627\u0644\u06cc \u0644\u0627\u06cc\u0647\u200c\u0647\u0627 \u0648 \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u06a9\u0631\u062f\u0646 \u0634\u0628\u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0647\u0631 \u0644\u0627\u06cc\u0647 \u0628\u0647 \u0644\u0627\u06cc\u0647 \u0628\u0639\u062f\u06cc \u0648\u0627\u0631\u062f \u0645\u06cc \u0634\u0648\u062f\u060c \u0648 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0628\u0627 \u0644\u0627\u06cc\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>InputLayer<\/code> (\u0645\u06a9\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc) \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u0628\u0631\u062f\u0627\u0631 \u0648\u0631\u0648\u062f\u06cc &#8211; <code>image_shape<\/code>.<\/p>\n<p>\u0631\u0627 <code>Flatten<\/code> \u0648\u0638\u06cc\u0641\u0647 \u0644\u0627\u06cc\u0647 \u0635\u0627\u0641 \u06a9\u0631\u062f\u0646 \u0622\u0646 \u0627\u0633\u062a <code>(32,32,3)<\/code> \u0645\u0627\u062a\u0631\u06cc\u0633 \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 1 \u0628\u0639\u062f\u06cc (<code>3072<\/code>) \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0631\u0627 \u0646\u0645\u06cc \u067e\u0630\u06cc\u0631\u062f.<\/p>\n<p>\u0622\u062e\u0631\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u062f\u0631 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0647\u0645\u0627\u0646 \u0627\u0633\u062a <code>Dense<\/code> \u0644\u0627\u06cc\u0647\u060c \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a.  \u0633\u0639\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0627\u06cc \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u062e\u0631\u0648\u062c\u06cc \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u0622\u0648\u0631\u062f &#8211; \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0627\u0633\u062a\u060c \u0648 \u0627\u0646\u062f\u0627\u0632\u0647 \u062e\u0631\u0648\u062c\u06cc \u0622\u0646 (\u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0646\u0648\u0631\u0648\u0646\u200c\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0622\u0646) \u0631\u0627 \u0631\u0648\u06cc \u0645\u0642\u062f\u0627\u0631 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. <code>code_size<\/code>.<\/p>\n<p>\u0631\u0645\u0632\u06af\u0634\u0627 \u0646\u06cc\u0632 \u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc \u0627\u0633\u062a.  \u0648\u0631\u0648\u062f\u06cc (\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc) \u0631\u0627 \u0645\u06cc \u067e\u0630\u06cc\u0631\u062f \u0648 \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06cc\u06a9 \u0631\u062f\u06cc\u0641 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0646\u062f.  \u0633\u067e\u0633\u060c \u0622\u0646 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u067e\u0634\u062a\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f <code>32x32x3<\/code> \u0645\u0627\u062a\u0631\u06cc\u0633 \u0627\u0632 \u0637\u0631\u06cc\u0642 <code>Dense<\/code> \u0644\u0627\u06cc\u0647.  \u0622\u062e\u0631\u06cc\u0646 <code>Reshape<\/code> \u0644\u0627\u06cc\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u0634\u06a9\u0644 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0647\u0645 \u0648\u0635\u0644 \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">\nIMG_SHAPE = X.shape(<span class=\"hljs-number\">1<\/span>:)\nencoder, decoder = build_autoencoder(IMG_SHAPE, <span class=\"hljs-number\">32<\/span>)\n\ninp = Input(IMG_SHAPE)\ncode = encoder(inp)\nreconstruction = decoder(code)\n\nautoencoder = Model(inp,reconstruction)\nautoencoder.<span class=\"hljs-built_in\">compile<\/span>(optimizer=<span class=\"hljs-string\">'adamax'<\/span>, loss=<span class=\"hljs-string\">'mse'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(autoencoder.summary())\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u06a9\u062f \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a &#8211; \u0645\u0627 <code>code<\/code> \u0645\u062a\u063a\u06cc\u0631 \u062e\u0631\u0648\u062c\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0627\u0633\u062a \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0631\u0645\u0632\u06af\u0634\u0627 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0647 \u0648 \u0622\u0646 \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>reconstruction<\/code> \u0645\u062a\u063a\u06cc\u0631.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0622\u0646\u060c \u0647\u0631 \u062f\u0648 \u0631\u0627 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u067e\u06cc\u0648\u0646\u062f \u0645\u06cc \u062f\u0647\u06cc\u0645 <code>Model<\/code> \u0628\u0627 <code>inp<\/code> \u0648 <code>reconstruction<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u0622\u0646\u0647\u0627 \u0628\u0627 <code>adamax<\/code> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0648 <code>mse<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646<\/p>\n<p>\u062a\u062f\u0648\u06cc\u0646 \u0645\u062f\u0644 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0647 \u0645\u0639\u0646\u0627\u06cc \u062a\u0639\u0631\u06cc\u0641 \u0647\u062f\u0641 \u0648 \u0631\u0648\u0634 \u0631\u0633\u06cc\u062f\u0646 \u0628\u0647 \u0622\u0646 \u0627\u0633\u062a.  \u0647\u062f\u0641 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0645\u0627 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0631\u0633\u0627\u0646\u062f\u0646 \u0622\u0646 \u0627\u0633\u062a <code>mse<\/code> \u0648 \u0645\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0628\u0647 \u0622\u0646 \u0645\u06cc \u0631\u0633\u06cc\u0645 &#8211; \u06a9\u0647 \u0627\u0633\u0627\u0633\u0627\u064b \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u062d\u062f\u0627\u0642\u0644 \u062c\u0647\u0627\u0646\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u062e\u0644\u0627\u0635\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">_________________________________________________________________\nLayer (<span class=\"hljs-built_in\">type<\/span>)                 Output Shape              Param \n=================================================================\ninput_6 (InputLayer)         (<span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">32<\/span>, <span class=\"hljs-number\">32<\/span>, <span class=\"hljs-number\">3<\/span>)         <span class=\"hljs-number\">0<\/span>\n_________________________________________________________________\nsequential_3 (Sequential)    (<span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">32<\/span>)                <span class=\"hljs-number\">98336<\/span>\n_________________________________________________________________\nsequential_4 (Sequential)    (<span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">32<\/span>, <span class=\"hljs-number\">32<\/span>, <span class=\"hljs-number\">3<\/span>)         <span class=\"hljs-number\">101376<\/span>\n=================================================================\nTotal params: <span class=\"hljs-number\">199<\/span>,<span class=\"hljs-number\">712<\/span>\nTrainable params: <span class=\"hljs-number\">199<\/span>,<span class=\"hljs-number\">712<\/span>\nNon-trainable params: <span class=\"hljs-number\">0<\/span>\n_________________________________________________________________\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 <code>32,32,3<\/code>.  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 <code>None<\/code> \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0647 \u0634\u0627\u062e\u0635 \u0646\u0645\u0648\u0646\u0647 \u0627\u0634\u0627\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u0632\u06cc\u0631\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644\u06cc \u06a9\u0647 \u0634\u06a9\u0644\u06cc \u0627\u0632 \u0622\u0646 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a \u0645\u06cc \u062f\u0647\u06cc\u0645 <code>(m, 32,32,3)<\/code>\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 <code>m<\/code> \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u06af\u0647 \u0645\u06cc \u062f\u0627\u0631\u06cc\u0645 <code>None<\/code>.<\/p>\n<p>\u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u0627\u0633\u062a <code>32<\/code>\u060c \u06a9\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0627\u0646\u062f\u0627\u0632\u0647 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u062e\u0631\u0648\u062c\u06cc \u0631\u0645\u0632\u06af\u0634\u0627 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a <code>(32,32,3)<\/code>.<\/p>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u062f\u0644 \u0631\u0627 \u0645\u0639\u0627\u0645\u0644\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">history = autoencoder.fit(x=X_train, y=X_train, epochs=<span class=\"hljs-number\">20<\/span>,\n                validation_data=(X_test, X_test))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u0645\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0647\u0631 \u062f\u0648 <code>x<\/code> \u0648 <code>y<\/code> \u0628\u0631\u0627\u0628\u0631 \u0647\u0633\u062a\u0646\u062f <code>X_train<\/code>.  \u062f\u0631 \u062d\u0627\u0644\u062a \u0627\u06cc\u062f\u0647 \u0622\u0644\u060c \u0648\u0631\u0648\u062f\u06cc \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0631\u0627 <code>epochs<\/code> \u0645\u062a\u063a\u06cc\u0631 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u0686\u0646\u062f \u0628\u0627\u0631 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u062f\u0644 \u0648 \u0645\u062f\u0644 \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u0646\u062f <code>validation_data<\/code> \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0628\u0639\u062f \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">Train \u0631\u0648\u06cc 11828 samples, validate \u0631\u0648\u06cc 1315 samples\nEpoch 1\/20\n11828\/11828 (==============================) - 3s 272us\/step - loss: 0.0128 - val_loss: 0.0087\nEpoch 2\/20\n11828\/11828 (==============================) - 3s 227us\/step - loss: 0.0078 - val_loss: 0.0071\n.\n.\n.\nEpoch 20\/20\n11828\/11828 (==============================) - 3s 237us\/step - loss: 0.0067 - val_loss: 0.0066\n<\/code><\/pre>\n<p>\u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0632\u06cc\u0627\u0646 \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647\u200c\u0647\u0627 \u0645\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u06cc\u06a9 \u0646\u0645\u0627\u06cc \u06a9\u0644\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647\u200c\u0647\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">plt.plot(history.history(<span class=\"hljs-string\">'loss'<\/span>))\nplt.plot(history.history(<span class=\"hljs-string\">'val_loss'<\/span>))\nplt.title(<span class=\"hljs-string\">'model loss'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'loss'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'epoch'<\/span>)\nplt.legend((<span class=\"hljs-string\">'train'<\/span>, <span class=\"hljs-string\">'test'<\/span>), loc=<span class=\"hljs-string\">'upper left'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-6.png\" alt=\"\u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \/ \u0639\u0635\u0631\" title=\"\"><\/p>\n<p>\u0645\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u062f\u0648\u0631\u0647 \u0633\u0648\u0645\u060c \u067e\u06cc\u0634\u0631\u0641\u062a \u0642\u0627\u0628\u0644\u200c\u062a\u0648\u062c\u0647\u06cc \u062f\u0631 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f.  \u062a\u062c\u0633\u0645 \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u06a9\u0646\u062f \u062a\u0627 \u0627\u06cc\u062f\u0647 \u0628\u0647\u062a\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0646\u062f \u062f\u0648\u0631\u0647 \u0648\u0627\u0642\u0639\u0627\u064b \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0634\u0645\u0627 \u06a9\u0627\u0641\u06cc \u0627\u0633\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0622\u0646 \u0646\u06cc\u0633\u062a <code>20<\/code> \u062f\u0648\u0631\u0647 \u0647\u0627\u060c \u0648 \u0628\u06cc\u0634\u062a\u0631 \u0622\u0645\u0648\u0632\u0634 \u0647\u0627 \u0627\u0636\u0627\u0641\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0646\u062c\u0631 \u0628\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u0645\u062f\u0644 \u0634\u0648\u062f \u06a9\u0647 \u0628\u0627\u0639\u062b \u0639\u0645\u0644\u06a9\u0631\u062f \u0636\u0639\u06cc\u0641 \u0622\u0646 \u0645\u06cc \u0634\u0648\u062f \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u062e\u0627\u0631\u062c \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631\u062a\u0631\u06cc\u0646 \u0628\u062e\u0634 &#8211; \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">visualize<\/span>(<span class=\"hljs-params\">img,encoder,decoder<\/span>):<\/span>\n    <span class=\"hljs-string\">\"\"\"Draws original, encoded and decoded images\"\"\"<\/span>\n    \n    code = encoder.predict(img(<span class=\"hljs-literal\">None<\/span>))(<span class=\"hljs-number\">0<\/span>)\n    reco = decoder.predict(code(<span class=\"hljs-literal\">None<\/span>))(<span class=\"hljs-number\">0<\/span>)\n\n    plt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">1<\/span>)\n    plt.title(<span class=\"hljs-string\">\"Original\"<\/span>)\n    show_image(img)\n\n    plt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">2<\/span>)\n    plt.title(<span class=\"hljs-string\">\"Code\"<\/span>)\n    plt.imshow(code.reshape((code.shape(-<span class=\"hljs-number\">1<\/span>)\/\/<span class=\"hljs-number\">2<\/span>,-<span class=\"hljs-number\">1<\/span>)))\n\n    plt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">3<\/span>)\n    plt.title(<span class=\"hljs-string\">\"Reconstructed\"<\/span>)\n    show_image(reco)\n    plt.show()\n\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\">5<\/span>):\n    img = X_test(i)\n    visualize(img,encoder,decoder)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/stackabuse.s3.amazonaws.com\/media\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-4.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 pca\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-1.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 pca 2\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-7.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 pca 3\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-8.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 pca 4\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-9.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c \u0631\u0645\u0632\u06af\u0630\u0627\u0631 pca 5\" title=\"\"><\/p>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0646\u062a\u0627\u06cc\u062c \u0648\u0627\u0642\u0639\u0627\u064b \u062e\u0648\u0628 \u0646\u06cc\u0633\u062a\u0646\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u06a9\u0647 \u06a9\u0644 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0628\u0631\u062f\u0627\u0631 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0648\u0686\u06a9 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a <code>32<\/code> \u0627\u06cc\u0646 \u0648\u0633\u0637 \u062f\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u0627\u06cc\u0646 \u0627\u0635\u0644\u0627\u064b \u0628\u062f \u0646\u06cc\u0633\u062a.  \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0641\u0634\u0631\u062f\u0647 \u0633\u0627\u0632\u06cc \u0627\u0632 <code>3072<\/code> \u0627\u0628\u0639\u0627\u062f \u0641\u0642\u0637 <code>32<\/code> \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0645\u06cc \u062f\u0647\u06cc\u0645<\/p>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645 <code>code_size<\/code> \u0628\u0647 <code>1000<\/code>:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-10.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c pca 1000\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-2.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c pca 1000\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-11.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c pca 1000\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-12.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c pca 1000\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-13.png\" alt=\"\u0646\u062a\u0627\u06cc\u062c pca 1000\" title=\"\"><\/p>\n<p>\u062a\u0641\u0627\u0648\u062a \u0631\u0627 \u0628\u0628\u06cc\u0646\u061f  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0628\u0647 \u0645\u062f\u0644 \u0641\u0636\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0645\u06cc \u062f\u0647\u06cc\u062f\u060c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0647\u0645 \u062a\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0635\u0648\u06cc\u0631 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u062f<\/p>\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \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\u060c \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u062f\u0648 \u0628\u0639\u062f\u06cc \u0646\u06cc\u0633\u062a.  \u0627\u06cc\u0646 \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u0627\u0647\u062f\u0627\u0641 \u062a\u0635\u0648\u06cc\u0631\u06cc \u0627\u0633\u062a.  \u062f\u0631 \u0648\u0627\u0642\u0639\u060c \u0627\u06cc\u0646 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 \u06cc\u06a9 \u0628\u0639\u062f\u06cc \u0627\u0632 1000 \u0628\u0639\u062f \u0627\u0633\u062a.<\/p>\n<p>\u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0645\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u06cc\u0645 \u0646\u0627\u0645 \u062f\u0627\u0631\u062f <em>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0624\u0644\u0641\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc<\/em> (PCA)\u060c \u06a9\u0647 \u06cc\u06a9 <em>\u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f<\/em> \u062a\u06a9\u0646\u06cc\u06a9.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u06a9\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0648\u0686\u06a9\u200c\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0627\u0645\u0627 \u0647\u0645\u0686\u0646\u0627\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0647\u0645 \u0631\u0627 \u0636\u0628\u0637 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0624\u0644\u0641\u0647 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u062d\u0628\u0648\u0628\u06cc \u0627\u0632 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0627\u0633\u062a.<\/p>\n<h3 id=\"imagedenoising\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%b0%d9%81_%d9%86%d9%88%db%8c%d8%b2_%d8%aa%d8%b5%d9%88%db%8c%d8%b1\"><\/span>\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u062a\u0635\u0648\u06cc\u0631<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06cc\u06a9\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631\u060c \u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u0627\u0633\u062a.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u0642\u062f\u0627\u0631\u06cc \u0646\u0648\u06cc\u0632 \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062e\u0648\u062f \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">apply_gaussian_noise<\/span>(<span class=\"hljs-params\">X, sigma=<span class=\"hljs-number\">0.1<\/span><\/span>):<\/span>\n    noise = np.random.normal(loc=<span class=\"hljs-number\">0.0<\/span>, scale=sigma, size=X.shape)\n    <span class=\"hljs-keyword\">return<\/span> X + noise\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0642\u062f\u0627\u0631\u06cc \u0646\u0648\u06cc\u0632 \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0646\u0631\u0645\u0627\u0644 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0628\u0627 \u0645\u0642\u06cc\u0627\u0633 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>sigma<\/code>\u060c \u06a9\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0633\u062a <code>0.1<\/code>.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0645\u0631\u062c\u0639\u060c \u0627\u06cc\u0646 \u0647\u0645\u0627\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0648\u06cc\u0632 \u0628\u0627 \u0645\u0648\u0627\u0631\u062f \u0645\u062e\u062a\u0644\u0641 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f <code>sigma<\/code> \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc:<\/p>\n<pre><code class=\"hljs\">plt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">1<\/span>)\nshow_image(X_train(<span class=\"hljs-number\">0<\/span>))\nplt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">2<\/span>)\nshow_image(apply_gaussian_noise(X_train(:<span class=\"hljs-number\">1<\/span>),sigma=<span class=\"hljs-number\">0.01<\/span>)(<span class=\"hljs-number\">0<\/span>))\nplt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">3<\/span>)\nshow_image(apply_gaussian_noise(X_train(:<span class=\"hljs-number\">1<\/span>),sigma=<span class=\"hljs-number\">0.1<\/span>)(<span class=\"hljs-number\">0<\/span>))\nplt.subplot(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">4<\/span>)\nshow_image(apply_gaussian_noise(X_train(:<span class=\"hljs-number\">1<\/span>),sigma=<span class=\"hljs-number\">0.5<\/span>)(<span class=\"hljs-number\">0<\/span>))\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-14.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0646\u0648\u06cc\u0632\" title=\"\"><\/p>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u0645\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 <code>sigma<\/code> \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f \u0628\u0647 <code>0.5<\/code> \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u0633\u062e\u062a\u06cc \u062f\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f  \u0645\u0627 \u0633\u0639\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u0633\u06cc\u06af\u0645\u0627 \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0646\u0648\u06cc\u0632\u062f\u0627\u0631 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645 <code>0.1<\/code>.<\/p>\n<p>\u0645\u062f\u0644\u06cc \u06a9\u0647 \u0645\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u062a\u0648\u0644\u06cc\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u0644 \u0642\u0628\u0644\u06cc \u0627\u0633\u062a\u060c \u0627\u06af\u0631\u0686\u0647 \u0622\u0646 \u0631\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.  \u0627\u06cc\u0646 \u0628\u0627\u0631\u060c \u0645\u0627 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0646\u0648\u06cc\u0632 \u0627\u0635\u0644\u06cc \u0648 \u0645\u062a\u0646\u0627\u0638\u0631 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f:<\/p>\n<pre><code class=\"hljs\">code_size = <span class=\"hljs-number\">100<\/span>\n\n\nencoder, decoder = build_autoencoder(IMG_SHAPE, code_size=code_size)\n\ninp = Input(IMG_SHAPE)\ncode = encoder(inp)\nreconstruction = decoder(code)\n\nautoencoder = Model(inp, reconstruction)\nautoencoder.<span class=\"hljs-built_in\">compile<\/span>(<span class=\"hljs-string\">'adamax'<\/span>, <span class=\"hljs-string\">'mse'<\/span>)\n\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\">25<\/span>):\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Epoch %i\/25, Generating corrupted samples...\"<\/span>%(i+<span class=\"hljs-number\">1<\/span>))\n    X_train_noise = apply_gaussian_noise(X_train)\n    X_test_noise = apply_gaussian_noise(X_test)\n\n    \n    autoencoder.fit(x=X_train_noise, y=X_train, epochs=<span class=\"hljs-number\">1<\/span>,\n                    validation_data=(X_test_noise, X_test))\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u062a\u0627\u06cc\u062c \u0645\u062f\u0644 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">X_test_noise = apply_gaussian_noise(X_test)\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\">5<\/span>):\n    img = X_test_noise(i)\n    visualize(img,encoder,decoder)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-15.png\" alt=\"\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-16.png\" alt=\"\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-17.png\" alt=\"\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-18.png\" alt=\"\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-19.png\" alt=\"\u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631\" title=\"\"><\/p>\n<h2 id=\"autoencoderapplications\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87_%d9%87%d8%a7%db%8c_autoencoder\"><\/span>\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc Autoencoder<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0645\u0648\u0627\u0631\u062f\u06cc \u06a9\u0647 \u062a\u0627\u06a9\u0646\u0648\u0646 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/p>\n<p>Autoencoder \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/github.com\/aerophile\/awesome-deepfakes\">\u062f\u06cc\u067e \u0641\u06cc\u06a9<\/a>\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0645\u0627 \u06cc\u06a9 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0648 \u0631\u0645\u0632\u06af\u0634\u0627 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u0627\u0631\u06cc\u062f.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0641\u0631\u0636 \u06a9\u0646\u06cc\u062f \u062f\u0648 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0631\u0627\u06cc \u0622\u0646 \u062f\u0627\u0631\u06cc\u0645 <code>Person X<\/code> \u0648 \u06cc\u06a9\u06cc \u0628\u0631\u0627\u06cc <code>Person Y<\/code>.  \u0647\u06cc\u0686 \u0686\u06cc\u0632 \u0645\u0627 \u0631\u0627 \u0627\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0628\u0627\u0632 \u0646\u0645\u06cc \u062f\u0627\u0631\u062f <code>Person X<\/code> \u0648 \u0631\u0645\u0632\u06af\u0634\u0627 \u0627\u0632 <code>Person Y<\/code> \u0648 \u0633\u067e\u0633 \u062a\u0635\u0627\u0648\u06cc\u0631\u06cc \u0627\u0632 <code>Person Y<\/code> \u0628\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u0627\u0631\u0632 <code>Person X<\/code>:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-20.png\" alt=\"\u0635\u0648\u0631\u062a swap\" title=\"\"><\/p>\n<p><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.alanzucconi.com\/2018\/03\/14\/understanding-the-technology-behind-deepfakes\/\">\u0622\u0644\u0646 \u0632\u0648\u06a9\u0648\u0646\u06cc<\/a><\/small><\/p>\n<p>\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f &#8211; \u0645\u0627\u0646\u0646\u062f \u0648\u0633\u0627\u06cc\u0644 \u0646\u0642\u0644\u06cc\u0647 \u062e\u0648\u062f\u0645\u062e\u062a\u0627\u0631 \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0628\u0627\u06cc\u062f \u0645\u0648\u0627\u0631\u062f \u0645\u062e\u062a\u0644\u0641\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062e\u0648\u062f\u0631\u0648 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062a\u0635\u0645\u06cc\u0645 \u0628\u06af\u06cc\u0631\u06cc\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/image-reconstruction-and-denoising-with-autoencoders-in-python-and-keras-21.jpg\" alt=\"\u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631\" title=\"\"><\/p>\n<p><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/paperswithcode.com\/task\/semantic-segmentation\/codeless\">PapersWithCode<\/a><\/small><\/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>\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f \u06a9\u0647 \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f\u060c \u062d\u0630\u0641 \u0646\u0648\u06cc\u0632 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0645\u0648\u0627\u0631\u062f \u062f\u06cc\u06af\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062e\u0648\u062f\u062a\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u0645\u062b\u0627\u0644 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/yann.lecun.com\/exdb\/mnist\/\">MNIST<\/a> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u0647 \u0646\u062a\u0627\u06cc\u062c\u06cc \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u06cc\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 1403-01-20 01:05:05<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;16032&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;\u0631\u0645\u0632\u06af\u0630\u0627\u0631\u0647\u0627\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06a9\u0631\u0627\u0633&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\"> 10<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0627\u0645\u0631\u0648\u0632\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u062f\u0631 \u0647\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0627\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 &#8211; \u06af\u0648\u0634 \u062f\u0627\u062f\u0646 \u0628\u0647 \u0645\u0648\u0633\u06cc\u0642\u06cc &#8211; \u062d\u062c\u0645 \u0639\u0638\u06cc\u0645\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u06cc\u0645 \u0631\u0648\u06cc Spotify\u060c \u062f\u0631 \u062d\u0627\u0644 \u0645\u0631\u0648\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0648\u0633\u062a\u0627\u0646 \u0631\u0648\u06cc \u0627\u06cc\u0646\u0633\u062a\u0627\u06af\u0631\u0627\u0645\u060c \u06cc\u0627 \u0634\u0627\u06cc\u062f \u062f\u0631 \u062d\u0627\u0644 \u062a\u0645\u0627\u0634\u0627\u06cc \u06cc\u06a9 \u062a\u0631\u06cc\u0644\u0631 \u062c\u062f\u06cc\u062f \u0631\u0648\u06cc \u06cc\u0648\u062a\u06cc\u0648\u0628. \u0647\u0645\u06cc\u0634\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u0633\u0631\u0648\u0631\u0647\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u06a9\u0627\u0631\u0628\u0631 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16033,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16032","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\/16032","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=16032"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16032\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16033"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}