{"id":12157,"date":"2021-07-26T12:24:03","date_gmt":"2021-07-26T07:54:03","guid":{"rendered":"https:\/\/shahaab-co.com\/mag\/?p=12157"},"modified":"2024-11-29T18:36:49","modified_gmt":"2024-11-29T15:06:49","slug":"image-classification-using-feedforward-neural-network-in-keras","status":"publish","type":"post","link":"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/","title":{"rendered":"\u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 \u062f\u0631 Keras"},"content":{"rendered":"<p style=\"text-align: justify;\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u060c \u0628\u0647 \u0646\u062d\u0648\u0647 \u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 ( Feed Forward ) \u062f\u0631 Keras \u062e\u0648\u0627\u0647\u06cc\u0645 \u067e\u0631\u062f\u0627\u062e\u062a. \u0645\u0627 \u0627\u0632 \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0627\u0631\u0642\u0627\u0645 \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u062b\u0631\u0628\u062e\u0634\u06cc \u0634\u0628\u06a9\u0647 \u067e\u06cc\u0634\u062e\u0648\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 <a href=\"https:\/\/fa.wikipedia.org\/wiki\/%D8%A8%DB%8C%D8%B4%E2%80%8C%D8%A8%D8%B1%D8%A7%D8%B2%D8%B4\" target=\"_blank\" rel=\"noopener\">\u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634<\/a> ( Overfitting ) \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0627\u062f \u0648 \u0628\u0631 \u0622\u0646 \u063a\u0644\u0628\u0647 \u06a9\u0631\u062f.<\/p>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/MNIST_database\" target=\"_blank\" rel=\"noopener\">MNIST<\/a> \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0631\u0642\u0627\u0645 \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u0645\u062a\u0634\u06a9\u0644 \u0627\u0632 \u06f6\u06f0\u06f0\u06f0\u06f0 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u06f1\u06f0\u06f0\u06f0\u06f0 \u0645\u0648\u0631\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0627\u0633\u062a. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u060c \u0647\u0631 \u0631\u0642\u0645 \u062f\u0627\u0631\u0627\u06cc \u06f6\u06f0\u06f0\u06f0 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a. \u0627\u0628\u0639\u0627\u062f \u0627\u06cc\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u062b\u0627\u0628\u062a (\u06f2\u06f8 \u00d7 \u06f2\u06f8) \u0646\u0631\u0645\u0627\u0644 \u0634\u062f\u0647 \u0627\u0646\u062f. \u0647\u062f\u0641 \u060c \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u062c\u062f\u06cc\u062f \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0631\u0627 \u0628\u0647 \u062f\u0631\u0633\u062a\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u062f.<\/p>\n\n\n<div class=\"wp-block-rank-math-toc-block\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 counter-hierarchy ez-toc-counter-rtl ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0622\u0646\u0686\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062e\u0648\u0627\u0646\u062f :<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: 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href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B5-_%DA%86%D8%B1%D8%AE%D9%87_%DA%A9%D8%A7%D8%B1%DB%8C_Keras_%D8%A8%D8%B1%D8%A7%DB%8C_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%B4%D8%A8%DA%A9%D9%87\" >\u06f5- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B1-%DB%B5-_%D8%B3%D8%A7%D8%AE%D8%AA_%D8%B4%D8%A8%DA%A9%D9%87\" >\u06f1-\u06f5- &nbsp;\u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" 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href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B4-%DB%B5-_%D8%A7%D8%B1%D8%B2%DB%8C%D8%A7%D8%A8%DB%8C_%D9%85%D8%AF%D9%84_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%AF%DB%8C%D8%AF%D9%87\" >\u06f4-\u06f5- \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B6-_%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C_%D8%A8%DB%8C%D8%B4_%D8%A8%D8%B1%D8%A7%D8%B2%D8%B4\" >\u06f6- \u0628\u0631\u0631\u0633\u06cc \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B7-_%D8%A7%D8%B6%D8%A7%D9%81%D9%87_%DA%A9%D8%B1%D8%AF%D9%86_%D9%85%D9%86%D8%B8%D9%85_%D8%B3%D8%A7%D8%B2%DB%8C_%D8%A8%D9%87_%D9%85%D8%AF%D9%84\" >\u06f7- \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc \u0628\u0647 \u0645\u062f\u0644<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B8-_%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C_%D8%B9%D9%85%D9%84%DA%A9%D8%B1%D8%AF_%D8%A8%D8%B9%D8%AF_%D8%A7%D8%B2_%D9%85%D9%86%D8%B8%D9%85_%D8%B3%D8%A7%D8%B2%DB%8C\" >\u06f8- \u0628\u0631\u0631\u0633\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0639\u062f \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B9-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D8%B1%D9%88%DB%8C_%DB%8C%DA%A9_%D8%AA%D8%B5%D9%88%DB%8C%D8%B1_%D9%88%D8%A7%D8%AD%D8%AF\" >\u06f9- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0631\u0648\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u062d\u062f<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B1-%DB%B9-_%D8%A8%D8%AF%D8%B3%D8%AA_%D8%A2%D9%88%D8%B1%D8%AF%D9%86_%DA%A9%D9%84%D8%A7%D8%B3_%D9%BE%DB%8C%D8%B4_%D8%A8%DB%8C%D9%86%DB%8C_%D8%B4%D8%AF%D9%87\" >\u06f1-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u06a9\u0644\u0627\u0633 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B2-%DB%B9-_%D8%A8%D8%AF%D8%B3%D8%AA_%D8%A2%D9%88%D8%B1%D8%AF%D9%86_%D8%A7%D8%AD%D8%AA%D9%85%D8%A7%D9%84%D8%A7%D8%AA\" >\u06f2-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/image-classification-using-feedforward-neural-network-in-keras\/#%DB%B1%DB%B0-_%D8%AA%D9%85%D8%B1%DB%8C%D9%86\" >\u06f1\u06f0- \u062a\u0645\u0631\u06cc\u0646<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%D9%81%D9%87%D8%B1%D8%B3%D8%AA_%D9%85%D8%B7%D8%A7%D9%84%D8%A8\"><\/span>\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<span class=\"ez-toc-section-end\"><\/span><\/h2><nav><ul><li><a href=\"#h-1\" >\u06f1- \u0634\u0628\u06a9\u0647<\/a><\/li><li><a href=\"#h-2\" >\u06f2- \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li><a href=\"#h-3\" >\u06f3- \u0648\u0627\u0631\u0633\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li><a href=\"#h-4\" >\u06f4- \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li><a href=\"#h-5-keras\" >\u06f5- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647<\/a><ul><li><a href=\"#h-1-5\" >\u06f1-\u06f5- &nbsp;\u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647<\/a><\/li><li><a href=\"#h-2-5\" >\u06f2-\u06f5- \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0634\u0628\u06a9\u0647<\/a><\/li><li><a href=\"#h-3-5\" >\u06f3-\u06f5- \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644<\/a><\/li><li><a href=\"#h-4-5\" >\u06f4-\u06f5- \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/a><\/li><\/ul><\/li><li><a href=\"#h-6\" >\u06f6- \u0628\u0631\u0631\u0633\u06cc \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634<\/a><\/li><li><a href=\"#h-7\" >\u06f7- \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc \u0628\u0647 \u0645\u062f\u0644<\/a><\/li><li><a href=\"#h-8\" >\u06f8- \u0628\u0631\u0631\u0633\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0639\u062f \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc<\/a><\/li><li><a href=\"#h-9\" >\u06f9- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0631\u0648\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u062d\u062f<\/a><ul><li><a href=\"#h-1-9\" >\u06f1-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u06a9\u0644\u0627\u0633 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647<\/a><\/li><li><a href=\"#h-2-9\" >\u06f2-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a<\/a><\/li><\/ul><\/li><li><a href=\"#h-10\" >\u06f1\u06f0- \u062a\u0645\u0631\u06cc\u0646<\/a><\/li><\/nav><\/ul><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-1\"><span class=\"ez-toc-section\" id=\"%DB%B1-_%D8%B4%D8%A8%DA%A9%D9%87\"><\/span><strong>\u06f1- \u0634\u0628\u06a9\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0634\u0645\u0627\u062a\u06cc\u06a9-\u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646-\u0686\u0646\u062f-\u0644\u0627\u06cc\u0647-\u0631\u0648\u06cc-MNIST.jpg\" alt=\"\u0634\u0645\u0627\u062a\u06cc\u06a9 \u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0631\u0648\u06cc MNIST\" class=\"wp-image-12246\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0634\u0645\u0627\u062a\u06cc\u06a9-\u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646-\u0686\u0646\u062f-\u0644\u0627\u06cc\u0647-\u0631\u0648\u06cc-MNIST.jpg 768w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0634\u0645\u0627\u062a\u06cc\u06a9-\u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646-\u0686\u0646\u062f-\u0644\u0627\u06cc\u0647-\u0631\u0648\u06cc-MNIST-300x169.jpg 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption>\u0634\u0645\u0627\u062a\u06cc\u06a9 \u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0631\u0648\u06cc MNIST<\/figcaption><\/figure><\/div>\n\n\n<p style=\"text-align: justify;\">\u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0648 \u0645\u0631\u0648\u0631 \u0633\u0631\u06cc\u0639 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 <strong><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/understanding-feedforward-neural-networks\/\" target=\"_blank\" rel=\"noopener\">\u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc \u0645\u0627<\/a><\/strong> \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f. \u0645\u0627 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u062e\u0627\u0645 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u062a\u0635\u0627\u0648\u06cc\u0631 \u060c \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u06f2\u06f8 \u00d7 \u06f2\u06f8 \u0647\u0633\u062a\u0646\u062f. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u060c \u0645\u0627\u062a\u0631\u06cc\u0633 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06f2\u06f8 \u00d7 \u06f2\u06f8 = \u06f7\u06f8\u06f4&nbsp;\u062a\u063a\u06cc\u06cc\u0631 \u0634\u06a9\u0644 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u0627\u06cc\u0646 \u0622\u0631\u0627\u06cc\u0647 \u0631\u0627 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0627\u06cc \u0628\u0627 \u06f2 \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u06a9\u0647 \u0647\u0631 \u06a9\u062f\u0627\u0645 \u06f5\u06f1\u06f2 \u0646\u0648\u0631\u0648\u0646 \u062f\u0627\u0631\u0646\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc \u0628\u0631\u0627\u06cc \u06f1\u06f0 \u0631\u0642\u0645 \u062f\u0627\u0631\u0627\u06cc \u06f1\u06f0 \u0648\u0627\u062d\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f. \u0646\u0645\u0648\u062f\u0627\u0631 \u0634\u0645\u0627\u062a\u06cc\u06a9 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u0647\u0646\u0648\u0632 Keras \u0631\u0627 \u0646\u0635\u0628 \u0646\u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u060c <strong><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/\" target=\"_blank\" rel=\"noopener\">\u0627\u06cc\u0646 \u067e\u0633\u062a<\/a><\/strong> \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f! \u0647\u0645\u0686\u0646\u06cc\u0646 \u060c \u06a9\u062f \u0631\u0627 \u0627\u0632 \u0644\u06cc\u0646\u06a9 \u0632\u06cc\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0633\u062a \u062f\u0646\u0628\u0627\u0644 \u0634\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u06a9\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645!<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-2\"><span class=\"ez-toc-section\" id=\"%DB%B2-_%D8%A8%D8%A7%D8%B1%DA%AF%D8%B0%D8%A7%D8%B1%DB%8C_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7\"><\/span><strong>\u06f2- \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()mnist.load_data \u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06ccMNIST \u0631\u0627 \u062f\u0631 Keras \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0627\u06af\u0631 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0634\u0645\u0627 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0647 \u06a9\u0645\u06a9 \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0633\u0631\u0648\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f. \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0634\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u060c \u0628\u0647 \u0632\u06cc\u0631\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f :<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.datasets import mnist\n(train_images, train_labels), (test_images, test_labels) = mnist.load_data()<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-3\"><span class=\"ez-toc-section\" id=\"%DB%B3-_%D9%88%D8%A7%D8%B1%D8%B3%DB%8C_%D8%AF%D8%A7%D8%AF%D9%87_%D9%87%D8%A7\"><\/span><strong>\u06f3- \u0648\u0627\u0631\u0633\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u062f\u0627\u0631\u06cc\u0645. \u062f\u0627\u062f\u0647 \u0647\u0627 \u0634\u0627\u0645\u0644 \u0627\u0639\u062f\u0627\u062f \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0627\u0632 \u06f0 \u062a\u0627 \u06f9 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u0646\u0633\u062e\u0647 \u062d\u0642\u06cc\u0642\u06cc ( Ground Truth ) \u0634\u0627\u0646 \u0647\u0633\u062a\u0646\u062f. \u0645\u062a\u0634\u06a9\u0644 \u0627\u0632 \u06f6\u06f0\u06f0\u06f0\u06f0 \u0646\u0645\u0648\u0646\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u06f1\u06f0\u06f0\u06f0\u06f0 \u0646\u0645\u0648\u0646\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc. \u0647\u0631 \u0646\u0645\u0648\u0646\u0647 \u060c \u062a\u0635\u0648\u06cc\u0631\u06cc \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u06f2\u06f8 \u00d7 \u06f2\u06f8 \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u062e\u0627\u06a9\u0633\u062a\u0631\u06cc \u0627\u0633\u062a.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.utils import to_categorical\n\nprint('Training data shape : ', train_images.shape, train_labels.shape)\n\nprint('Testing data shape : ', test_images.shape, test_labels.shape)\n\n# Find the unique numbers from the train labels\nclasses = np.unique(train_labels)\nclasses_num = len(classes)\nprint('Total number of outputs : ', classes_num)\nprint('Output classes : ', classes)\n\nplt.figure(figsize=[10,5])\n\n# Display the first image in training data\nplt.subplot(121)\nplt.imshow(train_images[0,:,:], cmap='gray')\nplt.title(\"Ground Truth : {}\".format(train_labels[0]))\n\n# Display the first image in testing data\nplt.subplot(122)\nplt.imshow(test_images[0,:,:], cmap='gray')\nplt.title(\"Ground Truth : {}\".format(test_labels[0]))<\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"607\" height=\"416\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u0646\u0647-\u062f\u0627\u062f\u0647-\u0647\u0627\u06cc-MNIST.png\" alt=\"\u0646\u0645\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc MNIST\" class=\"wp-image-12249\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u0646\u0647-\u062f\u0627\u062f\u0647-\u0647\u0627\u06cc-MNIST.png 607w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u0646\u0647-\u062f\u0627\u062f\u0647-\u0647\u0627\u06cc-MNIST-300x206.png 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u0646\u0647-\u062f\u0627\u062f\u0647-\u0647\u0627\u06cc-MNIST-110x75.png 110w\" sizes=\"(max-width: 607px) 100vw, 607px\" \/><figcaption>\u0646\u0645\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc MNIST<\/figcaption><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-4\"><span class=\"ez-toc-section\" id=\"%DB%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><strong>\u06f4- \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>\u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u062e\u0627\u06a9\u0633\u062a\u0631\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u0647\u0627 \u0628\u06cc\u0646 \u06f0 \u062a\u0627 \u06f2\u06f5\u06f5 \u0627\u0633\u062a. \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0642\u0628\u0644 \u0627\u0632 \u0648\u0631\u0648\u062f \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p><\/p>\n<p>\u06f1- \u0647\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633 \u062a\u0635\u0648\u06cc\u0631 (\u06f2\u06f8 \u00d7 \u06f2\u06f8) \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 (\u06f2\u06f8 \u00d7 \u06f2\u06f8 = \u06f7\u06f8\u06f4 \u0628\u0639\u062f\u06cc) \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u062a\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0648\u0627\u062d\u062f \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0645\u0646\u062a\u0642\u0644 \u0634\u0648\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Change from matrix to array of dimension 28x28 to array of dimension 784\ndim_data = np.prod(train_images.shape[1:])\ntrain_data = train_images.reshape(train_images.shape[0], dim_data)\ntest_data = test_images.reshape(test_images.shape[0], dim_data)<\/pre>\n<p>\u06f2- \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 float \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0627\u0632 \u06f0 \u0628\u0647 \u06f1 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Change to float datatype\ntrain_data = train_data.astype('float32')\ntest_data = test_data.astype('float32')<\/pre>\n<p style=\"text-align: justify;\">\u06f3- \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0639\u062f\u062f \u0635\u062d\u06cc\u062d \u0628\u0647 \u0635\u0648\u0631\u062a \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0648\u0627\u0646 \u0647\u0627\u062a \u062f\u0633\u062a\u0647 \u0627\u06cc ( categorical one-hot encoding ) \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0632\u06cc\u0631\u0627 \u0627\u06cc\u0646 \u0642\u0627\u0644\u0628 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 Keras \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u06a9\u0644\u0627\u0633\u0647 \u0627\u0633\u062a. \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0648\u0627\u0646 \u0647\u0627\u062a \u062f\u0633\u062a\u0647 \u0627\u06cc \u060c \u06cc\u06a9 \u0646\u0648\u0639 \u0646\u0645\u0627\u06cc\u0634 \u0628\u0648\u0644\u06cc\u0646 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0639\u062f\u062f \u0635\u062d\u06cc\u062d \u0627\u0633\u062a. \u0628\u0647 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a \u06a9\u0647 \u0627\u06cc\u0646 \u0639\u062f\u062f \u0635\u062d\u06cc\u062d \u0631\u0627 \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u0627\u0632 \u0635\u0641\u0631\u0647\u0627 \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f \u0628\u0647 \u062c\u0632 \u0634\u0645\u0627\u0631\u0647 \u0622\u0646 \u0639\u062f\u062f \u0635\u062d\u06cc\u062d \u06a9\u0647 \u0628\u0627\u06cc\u062f \u06f1 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u060c \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0648\u0627\u0646 \u0647\u0627\u062a \u062f\u0633\u062a\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u06f1\u06f0 \u06a9\u0644\u0627\u0633 \u060c \u0639\u062f\u062f \u06f5 \u0628\u0647 \u0635\u0648\u0631\u062a \u06f0\u06f0\u06f0\u06f0\u06f0\u06f1\u06f0\u06f0\u06f0\u06f0 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Change the labels from integer to categorical data\ntrain_labels_one_hot = to_categorical(train_labels)\ntest_labels_one_hot = to_categorical(test_labels)<\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-linenumbers=\"false\">Original label 0 : 5\nAfter conversion to categorical ( one-hot ) : [0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-5-keras\"><span class=\"ez-toc-section\" id=\"%DB%B5-_%DA%86%D8%B1%D8%AE%D9%87_%DA%A9%D8%A7%D8%B1%DB%8C_Keras_%D8%A8%D8%B1%D8%A7%DB%8C_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%B4%D8%A8%DA%A9%D9%87\"><\/span><strong>\u06f5- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"960\" height=\"540\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/06\/\u0686\u0631\u062e\u0647-\u06a9\u0627\u0631\u06cc-Keras.jpg\" alt=\"\u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras\" class=\"wp-image-12040\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/06\/\u0686\u0631\u062e\u0647-\u06a9\u0627\u0631\u06cc-Keras.jpg 960w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/06\/\u0686\u0631\u062e\u0647-\u06a9\u0627\u0631\u06cc-Keras-300x169.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/06\/\u0686\u0631\u062e\u0647-\u06a9\u0627\u0631\u06cc-Keras-768x432.jpg 768w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><figcaption>\u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras<\/figcaption><\/figure><\/div>\n\n\n<p style=\"text-align: justify;\">\u062f\u0631 <a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/\" target=\"_blank\" rel=\"noopener\">\u067e\u0633\u062a \u0642\u0628\u0644\u06cc<\/a> \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras \u0631\u0627 \u0634\u0631\u062d \u062f\u0627\u062f\u06cc\u0645. \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0644\u0648\u06a9\u06cc \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a. \u0628\u0637\u0648\u0631\u06a9\u0644\u06cc \u060c \u067e\u0633 \u0627\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0631\u0627\u062d\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062f\u0631 Keras \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-5\"><span class=\"ez-toc-section\" id=\"%DB%B1-%DB%B5-_%D8%B3%D8%A7%D8%AE%D8%AA_%D8%B4%D8%A8%DA%A9%D9%87\"><\/span><strong>\u06f1-\u06f5- &nbsp;\u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0645\u0627 \u06af\u0641\u062a\u0647 \u0628\u0648\u062f\u06cc\u0645 \u06a9\u0647 \u0627\u0632 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0628\u0627 \u06f2 \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u0648 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627 \u06f1\u06f0 \u0648\u0627\u062d\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u062a\u0639\u062f\u0627\u062f \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u062e\u0641\u06cc \u06f5\u06f1\u06f2 \u0639\u062f\u062f \u0646\u06af\u0647 \u062f\u0627\u0634\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0648\u0631\u0648\u062f\u06cc \u0634\u0628\u06a9\u0647 \u0622\u0631\u0627\u06cc\u0647 \u06f7\u06f8\u06f4 \u0628\u0639\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u06f2\u06f8 \u00d7 \u06f2\u06f8 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0627\u0632 \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc ( <a href=\"https:\/\/keras.io\/guides\/sequential_model\/\" target=\"_blank\" rel=\"noopener\">Sequential Model<\/a> ) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u062f\u0631 \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc \u060c \u0641\u0642\u0637 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0627 \u06cc\u06a9\u06cc \u06cc\u06a9\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 ( Dense ) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0647 \u0622\u0646 \u0644\u0627\u06cc\u0647 \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0635\u0644 ( Fully Connected ) \u0646\u06cc\u0632 \u06af\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f \u0632\u06cc\u0631\u0627 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u067e\u06cc\u0634\u062e\u0648\u0631 \u0647\u0633\u062a\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062a\u0645\u0627\u0645 \u0646\u0648\u0631\u0648\u0646 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0627\u0632 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0628\u0647 \u0646\u0648\u0631\u0648\u0646 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0642\u0628\u0644\u06cc \u0645\u062a\u0635\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f. \u062c\u062f\u0627 \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 \u060c \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u0633\u0627\u0632\u06cc ReLU \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u0639\u0631\u0641\u06cc \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0628\u0648\u062f\u0646 \u0645\u062f\u0644 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0645\u0631\u0632\u0647\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0631\u0627 \u0628\u06cc\u0627\u0645\u0648\u0632\u062f. \u0622\u062e\u0631\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 <a href=\"https:\/\/en.wikipedia.org\/wiki\/Softmax_function\" target=\"_blank\" rel=\"noopener\">softmax<\/a> \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0627\u06cc\u0646 \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u06a9\u0644\u0627\u0633\u0647 \u0627\u0633\u062a. \u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 sigmoid \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense\n\nmodel = Sequential()\nmodel.add(Dense(512, activation='relu', input_shape=(dim_data,)))\nmodel.add(Dense(512, activation='relu'))\nmodel.add(Dense(classes_num, activation='softmax'))<\/pre>\n<p><\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-5\"><span class=\"ez-toc-section\" id=\"%DB%B2-%DB%B5-_%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_%D8%B4%D8%A8%DA%A9%D9%87\"><\/span><strong><strong>\u06f2-\u06f5-<\/strong> \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0634\u0628\u06a9\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u060c \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a <a href=\"https:\/\/keras.io\/api\/optimizers\/rmsprop\" target=\"_blank\" rel=\"noopener\">rmsprop<\/a> \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0648\u0639 \u0632\u06cc\u0627\u0646 \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 categorical cross entropy \u0627\u0633\u062a \u0648 \u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u06a9\u0644\u0627\u0633\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f. \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0628\u0627\u06cc\u062f \u0646\u06cc\u0627\u0632 \u0645\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0631\u0622\u0648\u0631\u062f\u0647 \u06a9\u0646\u0646\u062f (\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u062f\u0642\u062a \u0634\u0628\u06a9\u0647 \u062d\u0627\u0626\u0632 \u0627\u0647\u0645\u06cc\u062a \u0627\u0633\u062a). \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0647\u0631 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u062f\u06cc\u06af\u0631\u06cc \u0645\u0627\u0646\u0646\u062f adam \u06cc\u0627 SGD \u0646\u06cc\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])<\/pre>\n<p><\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-5\"><span class=\"ez-toc-section\" id=\"%DB%B3-%DB%B5-_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D9%85%D8%AF%D9%84\"><\/span><strong><strong>\u06f3-\u06f5-<\/strong> \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify\">\u062d\u0627\u0644\u0627 \u0634\u0628\u06a9\u0647 \u0622\u0645\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()fit \u062f\u0631 Keras \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. \u0645\u0627 \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627 \u0631\u0627 \u06f2\u06f0 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06f2\u06f0 \u0628\u0627\u0631 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0648\u0627\u0631\u062f \u0645\u06cc \u0634\u0648\u062f. \u0645\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0628\u0631\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">history = model.fit(train_data, train_labels_one_hot, batch_size=256, epochs=20, verbose=1, \n                   validation_data=(test_data, test_labels_one_hot))<\/pre>\n<p><\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-5\"><span class=\"ez-toc-section\" id=\"%DB%B4-%DB%B5-_%D8%A7%D8%B1%D8%B2%DB%8C%D8%A7%D8%A8%DB%8C_%D9%85%D8%AF%D9%84_%D8%A2%D9%85%D9%88%D8%B2%D8%B4_%D8%AF%DB%8C%D8%AF%D9%87\"><\/span><strong><strong>\u06f4-\u06f5-<\/strong> \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0645\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()evaluate \u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0628\u0631 \u0631\u0648\u06cc \u06a9\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">[test_loss, test_acc] = model.evaluate(test_data, test_labels_one_hot)\nprint(\"Evaluation result on Test Data : Loss = {}, accuracy = {}\".format(test_loss, test_acc))<\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-linenumbers=\"false\">Evaluation result on Test Data : Loss = 0.15887983631565528, accuracy = 0.9800999760627747<\/pre>\n<p>\u0646\u062a\u0627\u06cc\u062c \u062e\u0648\u0628 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u0646\u062f. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0646\u06af\u0627\u0647\u06cc \u062f\u0648\u0628\u0627\u0631\u0647 \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-6\"><span class=\"ez-toc-section\" id=\"%DB%B6-_%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C_%D8%A8%DB%8C%D8%B4_%D8%A8%D8%B1%D8%A7%D8%B2%D8%B4\"><\/span><strong>\u06f6- \u0628\u0631\u0631\u0633\u06cc \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u062a\u0627\u0628\u0639 ()fit \u06cc\u06a9 \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u062f\u06cc\u06a9\u0634\u0646\u0631\u06cc \u0627\u0632 \u062a\u0645\u0627\u0645 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u067e\u06cc\u06af\u06cc\u0631\u06cc \u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u0644\u0627\u0632\u0645 \u0628\u0648\u062f. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0645\u0646\u062d\u0646\u06cc \u0647\u0627\u06cc \u0632\u06cc\u0627\u0646 \u0648 \u062f\u0642\u062a \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0631\u0648\u0646\u062f \u06a9\u0627\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p style=\"text-align: justify;\">\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u062a\u0627\u0628\u0639 ()history.history.keys \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 :<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-linenumbers=\"false\">['accuracy', 'loss', 'val_accuracy', 'val_loss']<\/pre>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u0647\u0627\u06cc \u0632\u06cc\u0627\u0646 \u0648 \u062f\u0642\u062a \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Plot the Loss Curves\nplt.figure(figsize=[8,6])\nplt.plot(history.history['loss'],'r',linewidth=3.0)\nplt.plot(history.history['val_loss'],'b',linewidth=3.0)\nplt.legend(['Training loss', 'Validation Loss'],fontsize=18)\nplt.xlabel('Epochs ',fontsize=16)\nplt.ylabel('Loss',fontsize=16)\nplt.title('Loss Curves',fontsize=16)\n\n#Plot the Accuracy Curves\nplt.figure(figsize=[8,6]) plt.plot(history.history['accuracy'],'r',linewidth=3.0) plt.plot(history.history['val_accuracy'],'b',linewidth=3.0) plt.legend(['Training Accuracy', 'Validation Accuracy'],fontsize=18) plt.xlabel('Epochs ',fontsize=16) plt.ylabel('Accuracy',fontsize=16) plt.title('Accuracy Curves',fontsize=16)<\/pre>\n<p><\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"509\" height=\"394\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 \u0636\u0631\u0631\" class=\"wp-image-12251\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631.png 509w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631-300x232.png 300w\" sizes=\"(max-width: 509px) 100vw, 509px\" \/><figcaption>\u0646\u0645\u0648\u062f\u0627\u0631 \u0636\u0631\u0631<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"509\" height=\"394\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0642\u062a\" class=\"wp-image-12252\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a.png 509w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a-300x232.png 300w\" sizes=\"(max-width: 509px) 100vw, 509px\" \/><figcaption>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0642\u062a<\/figcaption><\/figure><\/div>\n\n\n<p style=\"text-align: justify\">\u0627\u06af\u0631\u0686\u0647 \u062f\u0642\u062a \u0628\u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628 \u0627\u0633\u062a \u060c \u0627\u0645\u0627 \u0627\u06af\u0631 \u0645\u0646\u062d\u0646\u06cc \u0647\u0627\u06cc \u0632\u06cc\u0627\u0646 \u0648 \u062f\u0642\u062a \u0631\u0627 \u062f\u0631 \u0634\u06a9\u0644 \u0647\u0627\u06cc \u0628\u0627\u0644\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f \u060c \u0645\u062a\u0648\u062c\u0647 \u0645\u06cc \u0634\u0648\u06cc\u062f \u06a9\u0647 \u0632\u06cc\u0627\u0646 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f \u060c \u0627\u0645\u0627 \u0633\u067e\u0633 \u0628\u0647 \u062a\u062f\u0631\u06cc\u062c \u0634\u0631\u0648\u0639 \u0628\u0647 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u06a9\u0646\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0628\u06cc\u0646 \u062f\u0642\u062a \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u060c \u062a\u0641\u0627\u0648\u062a \u0627\u0633\u0627\u0633\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f. \u0627\u06cc\u0646 \u0646\u0634\u0627\u0646\u0647 \u0648\u0627\u0636\u062d\u06cc \u0627\u0632 \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0647 \u062e\u0648\u0628\u06cc \u0628\u0647 \u062e\u0627\u0637\u0631 \u0633\u067e\u0631\u062f\u0647 \u0627\u0633\u062a \u060c \u0627\u0645\u0627 \u06a9\u0627\u0631 \u0628\u0631 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u06cc\u062f\u0647 \u0646\u0634\u062f\u0647 \u062a\u0636\u0645\u06cc\u0646 \u0634\u062f\u0647 \u0646\u06cc\u0633\u062a. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u060c \u062a\u0641\u0627\u0648\u062a \u062f\u0631 \u062f\u0642\u062a \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-7\"><span class=\"ez-toc-section\" id=\"%DB%B7-_%D8%A7%D8%B6%D8%A7%D9%81%D9%87_%DA%A9%D8%B1%D8%AF%D9%86_%D9%85%D9%86%D8%B8%D9%85_%D8%B3%D8%A7%D8%B2%DB%8C_%D8%A8%D9%87_%D9%85%D8%AF%D9%84\"><\/span><strong>\u06f7- \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc \u0628\u0647 \u0645\u062f\u0644<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify\">\u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634 \u0639\u0645\u062f\u062a\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0631\u062e \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0646\u0633\u0628\u062a \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0628\u0633\u06cc\u0627\u0631 \u0645\u063a\u0631\u0636\u0627\u0646\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u0646\u062f. \u0628\u0631\u0627\u06cc \u063a\u0644\u0628\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 dropout \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645. \u062f\u0631 \u0635\u0648\u0631\u062a dropout \u060c \u0628\u062e\u0634\u06cc \u0627\u0632 \u0646\u0648\u0631\u0648\u0646 \u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u062f\u0631 \u0637\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634 \u063a\u06cc\u0631\u0641\u0639\u0627\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 \u0645\u06cc\u0632\u0627\u0646 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u062a\u0627 \u062d\u062f\u0648\u062f\u06cc \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u0646\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.layers import Dropout\n\nmodel_reg = Sequential()\nmodel_reg.add(Dense(512, activation='relu', input_shape=(dim_data,)))\nmodel_reg.add(Dropout(0.5))\nmodel_reg.add(Dense(512, activation='relu'))\nmodel_reg.add(Dropout(0.5))\nmodel_reg.add(Dense(classes_num, activation='softmax'))<\/pre>\n<p><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-8\"><span class=\"ez-toc-section\" id=\"%DB%B8-_%D8%A8%D8%B1%D8%B1%D8%B3%DB%8C_%D8%B9%D9%85%D9%84%DA%A9%D8%B1%D8%AF_%D8%A8%D8%B9%D8%AF_%D8%A7%D8%B2_%D9%85%D9%86%D8%B8%D9%85_%D8%B3%D8%A7%D8%B2%DB%8C\"><\/span><strong>\u06f8- \u0628\u0631\u0631\u0633\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0639\u062f \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify\">\u0645\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0627\u0646 \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u06cc\u0645 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u0648 \u0645\u0646\u062d\u0646\u06cc \u0647\u0627\u06cc \u0632\u06cc\u0627\u0646 \u0648 \u062f\u0642\u062a \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">model_reg.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])\n\nhistory_reg = model_reg.fit(train_data, train_labels_one_hot, batch_size=256, epochs=20, verbose=1, \n                            validation_data=(test_data, test_labels_one_hot))\n\n#Plot the Loss Curves\nplt.figure(figsize=[8,6])\nplt.plot(history_reg.history['loss'],'r',linewidth=3.0)\nplt.plot(history_reg.history['val_loss'],'b',linewidth=3.0)\nplt.legend(['Training loss', 'Validation Loss'],fontsize=18)\nplt.xlabel('Epochs ',fontsize=16)\nplt.ylabel('Loss',fontsize=16)\nplt.title('Loss Curves',fontsize=16)\n\n#Plot the Accuracy Curves\nplt.figure(figsize=[8,6])\nplt.plot(history_reg.history['accuracy'],'r',linewidth=3.0)\nplt.plot(history_reg.history['val_accuracy'],'b',linewidth=3.0)\nplt.legend(['Training Accuracy', 'Validation Accuracy'],fontsize=18)\nplt.xlabel('Epochs ',fontsize=16)\nplt.ylabel('Accuracy',fontsize=16)\nplt.title('Accuracy Curves',fontsize=16)<\/pre>\n<p><\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"509\" height=\"394\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 \u0636\u0631\u0631 \u067e\u0633 \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc\" class=\"wp-image-12253\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc.png 509w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u0636\u0631\u0631-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc-300x232.png 300w\" sizes=\"(max-width: 509px) 100vw, 509px\" \/><figcaption>\u0646\u0645\u0648\u062f\u0627\u0631 \u0636\u0631\u0631 \u067e\u0633 \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"509\" height=\"394\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0642\u062a \u067e\u0633 \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc\" class=\"wp-image-12254\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc.png 509w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0646\u0645\u0648\u062f\u0627\u0631-\u062f\u0642\u062a-\u067e\u0633-\u0627\u0632-\u0645\u0646\u0638\u0645-\u0633\u0627\u0632\u06cc-300x232.png 300w\" sizes=\"(max-width: 509px) 100vw, 509px\" \/><figcaption>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0642\u062a \u067e\u0633 \u0627\u0632 \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc<\/figcaption><\/figure><\/div>\n\n\n<p style=\"text-align: justify\">\u0627\u0632 \u0645\u0646\u062d\u0646\u06cc \u0647\u0627\u06cc \u0632\u06cc\u0627\u0646 \u0648 \u062f\u0642\u062a \u0641\u0648\u0642 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 :<\/p>\n<ul style=\"text-align: justify\">\n<li>\u0632\u06cc\u0627\u0646 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u062f\u0631 \u062d\u0627\u0644 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0646\u06cc\u0633\u062a<\/li>\n<li>\u062a\u0641\u0627\u0648\u062a \u0686\u0646\u062f\u0627\u0646\u06cc \u0628\u06cc\u0646 \u062f\u0642\u062a \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f<\/li>\n<\/ul>\n<p style=\"text-align: justify\">\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u06af\u0641\u062a \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0627\u0632 \u0642\u0627\u0628\u0644\u06cc\u062a \u062a\u0639\u0645\u06cc\u0645 \u0628\u0647\u062a\u0631\u06cc \u0628\u0631\u062e\u0648\u0631\u062f\u0627\u0631 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646\u060c \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u060c \u0628\u0647 \u0634\u062f\u062a \u06a9\u0627\u0647\u0634 \u0646\u0645\u06cc \u06cc\u0627\u0628\u062f.<\/p>\n<p style=\"text-align: justify\"><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-9\"><span class=\"ez-toc-section\" id=\"%DB%B9-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D8%B1%D9%88%DB%8C_%DB%8C%DA%A9_%D8%AA%D8%B5%D9%88%DB%8C%D8%B1_%D9%88%D8%A7%D8%AD%D8%AF\"><\/span><strong>\u06f9- \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0631\u0648\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u062d\u062f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify\">\u062f\u06cc\u062f\u06cc\u0645 \u06a9\u0647 \u0627\u0648\u0644\u06cc\u0646 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0639\u062f\u062f \u06f7 \u0627\u0633\u062a. \u0628\u06af\u0630\u0627\u0631\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0645\u062f\u0644 \u0686\u0647 \u0686\u06cc\u0632\u06cc \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f :<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-9\"><span class=\"ez-toc-section\" id=\"%DB%B1-%DB%B9-_%D8%A8%D8%AF%D8%B3%D8%AA_%D8%A2%D9%88%D8%B1%D8%AF%D9%86_%DA%A9%D9%84%D8%A7%D8%B3_%D9%BE%DB%8C%D8%B4_%D8%A8%DB%8C%D9%86%DB%8C_%D8%B4%D8%AF%D9%87\"><\/span><strong>\u06f1-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u06a9\u0644\u0627\u0633 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify\">\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062a\u0646\u0647\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u06a9\u0644\u0627\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u06a9\u0627\u0641\u06cc \u0628\u0627\u0634\u062f. \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u06cc\u0646 \u0641\u0631\u0622\u06cc\u0646\u062f \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Predict the most likely class\nprint(\"Model prediction: {}\".format(model_reg.predict_classes(test_data[[1],:])[0]))\n\n# Display the predicted image\nplt.imshow(test_images[1], cmap='gray')\nplt.title(\"Ground Truth : {}\".format(test_labels[1]))<\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p>\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u062f\u0644: \u0639\u062f\u062f \u06f2<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"255\" height=\"272\" src=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2021\/07\/\u0639\u062f\u062f-2-\u0627\u0632-\u062f\u0627\u062f\u0647-\u0647\u0627\u06cc-MNIST.png\" alt=\"\u0639\u062f\u062f 2 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc MNIST\" class=\"wp-image-12255\" title=\"\"><figcaption>\u0639\u062f\u062f \u06f2 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc MNIST<\/figcaption><\/figure><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-9\"><span class=\"ez-toc-section\" id=\"%DB%B2-%DB%B9-_%D8%A8%D8%AF%D8%B3%D8%AA_%D8%A2%D9%88%D8%B1%D8%AF%D9%86_%D8%A7%D8%AD%D8%AA%D9%85%D8%A7%D9%84%D8%A7%D8%AA\"><\/span><strong>\u06f2-\u06f9- \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u062f\u0631 \u0631\u0648\u0634 \u0642\u0628\u0644\u06cc \u0627\u0645\u062a\u06cc\u0627\u0632\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f \u06a9\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u062f. \u062f\u0631 \u0628\u0639\u0636\u06cc \u0645\u0648\u0627\u0631\u062f \u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0648\u0642\u062a\u06cc \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0627\u062d\u062a\u0645\u0627\u0644 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0647 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u062e\u0627\u0635 \u0627\u0633\u062a. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0631\u0627\u0633\u0627\u0633 \u0627\u06cc\u0646 \u0627\u0645\u062a\u06cc\u0627\u0632\u0627\u062a \u062a\u0635\u0645\u06cc\u0645 \u0628\u06af\u06cc\u0631\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Predict the probabilities for each class \nmodel_reg.predict(test_data[[0],:])<\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-linenumbers=\"false\">array([[1.29905996e-18, 1.10607663e-14, 1.40711756e-11, 1.03725896e-10, 7.9663463e-19, 1.92765065e-14, 4.65404149e-28, 1.00000000e+00, 6.88956165e-16, 3.75895357e-11]], dtype=float32)<\/pre>\n<p style=\"text-align: justify;\">\u0627\u06cc\u0646 \u0627\u0645\u062a\u06cc\u0627\u0632\u0627\u062a \u060c \u0627\u062d\u062a\u0645\u0627\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f. \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0627\u062e\u0635 \u0647\u0634\u062a\u0645 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u06f1 \u0627\u0633\u062a \u06a9\u0647 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0634\u0628\u06a9\u0647 \u062a\u0648\u0627\u0646\u0633\u062a\u0647 \u0639\u062f\u062f \u06f7 \u0631\u0627 \u0628\u0627 \u0646\u0645\u0631\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u06f1 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-10\"><span class=\"ez-toc-section\" id=\"%DB%B1%DB%B0-_%D8%AA%D9%85%D8%B1%DB%8C%D9%86\"><\/span><strong>\u06f1\u06f0- \u062a\u0645\u0631\u06cc\u0646<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0645\u0627 \u0627\u0632 \u06f2 \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u0648 \u0641\u0639\u0627\u0644\u0633\u0627\u0632\u06cc relu \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0628\u0648\u062f\u06cc\u0645. \u062d\u0627\u0644 \u0634\u0645\u0627 \u0633\u0639\u06cc \u06a9\u0646\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u0648 \u0641\u0639\u0627\u0644\u0633\u0627\u0632\u06cc \u0631\u0627 \u0628\u0647 tanh \u06cc\u0627 sigmoid \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u0647 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a\u06cc \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0631\u062e \u0645\u06cc \u062f\u0647\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0633\u0628\u062a dropout \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u0686\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u0645\u0648\u0641\u0642\u06cc \u062f\u0627\u0634\u062a\u0647 \u0627\u0633\u062a \u060c \u0627\u0645\u0627 \u062f\u0631 \u067e\u0633\u062a \u0628\u0639\u062f\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u06cc \u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646 \u0631\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647\u0628\u0648\u062f \u0645\u06cc \u0628\u062e\u0634\u06cc\u0645. \u06af\u0648\u0634 \u0628\u0647 \u0632\u0646\u06af \u0628\u0627\u0634\u06cc\u062f!<\/p>\n<p><strong>\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f :<\/strong><\/p>\n\n\n<div class=\"wp-block-columns has-vivid-green-cyan-color has-text-color is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<ul class=\"wp-block-yoast-seo-related-links\"><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/\">\u0645\u0628\u0627\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Keras<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/ml\/support-vector-machine-part2-coding\/\">\u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 ( SVM ) \u2013 \u0628\u062e\u0634 \u062f\u0648\u0645 : \u06a9\u062f \u0646\u0648\u06cc\u0633\u06cc<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/ml\/a-complete-machine-learning-walk-through-in-python-part-two\/\">\u06af\u0627\u0645 \u0628\u0647 \u06af\u0627\u0645 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06a9\u0627\u0645\u0644 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u2013 \u0628\u062e\u0634 \u062f\u0648\u0645<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/ml\/natural-language-processing-is-fun-part-1\/\">\u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u062c\u0630\u0627\u0628 \u0627\u0633\u062a! \u0642\u0633\u0645\u062a \u0627\u0648\u0644<\/a><\/li><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-neural-network-python-keras\/\">\u067e\u0631\u0648\u0698\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Keras \u0628\u0647 \u0635\u0648\u0631\u062a \u06af\u0627\u0645 \u0628\u0647 \u06af\u0627\u0645<\/a><\/li><\/ul>\n<\/div>\n<\/div>\n\n\n<a href=\"#\" class=\"shortc-button small blue \">\u0645\u0646\u0628\u0639<\/a> <a href=\"https:\/\/learnopencv.com\/image-classification-using-feedforward-neural-network-in-keras\/\" target=\"_blank\" class=\"shortc-button small gray \" rel=\"noopener\">Learn OpenCV<\/a>\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-right kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;right&quot;,&quot;id&quot;:&quot;12157&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 \u062f\u0647\u06cc\u062f!&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 \u0627\u0645\u062a\u06cc\u0627\u0632)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;\u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 \u062f\u0631 Keras&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} \u0627\u0645\u062a\u06cc\u0627\u0632)&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: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/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: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc\u062f!<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u060c \u0628\u0647 \u0646\u062d\u0648\u0647 \u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 ( Feed Forward ) \u062f\u0631 Keras \u062e\u0648\u0627\u0647\u06cc\u0645 \u067e\u0631\u062f\u0627\u062e\u062a. \u0645\u0627 \u0627\u0632 \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0627\u0631\u0642\u0627\u0645 \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u062b\u0631\u0628\u062e\u0634\u06cc \u0634\u0628\u06a9\u0647 \u067e\u06cc\u0634\u062e\u0648\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634 ( Overfitting ) \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 &hellip;<\/p>\n","protected":false},"author":17,"featured_media":12258,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[19,18],"tags":[147,97,101,86],"class_list":["post-12157","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-deep-learning","category-edu","tag-147","tag-97","tag-101","tag-86"],"_links":{"self":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/12157","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/comments?post=12157"}],"version-history":[{"count":1,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/12157\/revisions"}],"predecessor-version":[{"id":16186,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/12157\/revisions\/16186"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media\/12258"}],"wp:attachment":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media?parent=12157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/categories?post=12157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/tags?post=12157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}