{"id":11955,"date":"2021-06-28T14:16:00","date_gmt":"2021-06-28T09:46:00","guid":{"rendered":"https:\/\/shahaab-co.com\/mag\/?p=11955"},"modified":"2024-11-29T18:36:51","modified_gmt":"2024-11-29T15:06:51","slug":"deep-learning-basics-using-keras","status":"publish","type":"post","link":"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/","title":{"rendered":"\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"},"content":{"rendered":"<p style=\"text-align: justify;\">\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0627\u062e\u0647 \u0627\u06cc \u0627\u0632 \u0631\u0634\u062a\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062f\u0631 \u0633\u0627\u0644 \u0647\u0627\u06cc \u0627\u062e\u06cc\u0631 \u060c \u0646\u0633\u0628\u062a \u0628\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0633\u0646\u062a\u06cc \u060c \u062f\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u060c \u0631\u0628\u0627\u062a\u06cc\u06a9 \u0648 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u06cc\u06af\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a \u0686\u0634\u0645\u06af\u06cc\u0631\u06cc \u062f\u0627\u0634\u062a\u0647 \u0627\u0633\u062a. <a href=\"https:\/\/shahaab-co.com\/mag\/edu\/neural-networks-a-30000-feet-view-for-beginners\/\" target=\"_blank\" rel=\"noopener\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647<\/a> \u0645\u0639\u0631\u0641\u06cc \u0645\u062e\u062a\u0635\u0631\u06cc \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u06cc ( \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc ) \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/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: #0044bf;color:#0044bf\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #0044bf;color:#0044bf\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 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href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%D9%86%D8%B5%D8%A8_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7\" >\u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_Keras\" >\u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc &nbsp;Keras<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B3-_%DA%86%D8%B1%D8%AE%D9%87_%DA%A9%D8%A7%D8%B1%DB%8C_Keras\" >\u06f3- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B1-%DB%B3-_%D9%84%D8%A7%DB%8C%D9%87_%D9%87%D8%A7%DB%8C_Keras\" >\u06f1-\u06f3- \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Keras<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B2-%DB%B3-_%D9%85%D8%AF%D9%84_%D9%87%D8%A7%DB%8C_Keras\" >\u06f2-\u06f3- \u0645\u062f\u0644 \u0647\u0627\u06cc Keras<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B3-%DB%B3-_%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_%D9%81%D8%B1%D8%A2%DB%8C%D9%86%D8%AF_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\" >\u06f3-\u06f3- \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B4-%DB%B3-_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\" >\u06f4-\u06f3- \u0622\u0645\u0648\u0632\u0634<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B5-%DB%B3_%D8%A7%D8%B1%D8%B2%DB%8C%D8%A7%D8%A8%DB%8C_%D9%85%D8%AF%D9%84\" >\u06f5-\u06f3 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/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\/deep-learning-basics-using-keras\/#%DB%B4-_%D9%85%D8%AB%D8%A7%D9%84_%D8%B1%DA%AF%D8%B1%D8%B3%DB%8C%D9%88%D9%86_%D8%AE%D8%B7%DB%8C\" >\u06f4- \u0645\u062b\u0627\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B1-%DB%B4-_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\" >\u06f1-\u06f4- \u0622\u0645\u0648\u0632\u0634<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/deep-learning-basics-using-keras\/#%DB%B2-%DB%B4-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7\" >\u06f2-\u06f4- \u0627\u0633\u062a\u0646\u0628\u0627\u0637<\/a><\/li><\/ul><\/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- \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/a><\/li><li><a href=\"#h-2-keras\" >\u06f2- \u0646\u0635\u0628 \u0648 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc Keras<\/a><ul><li><a href=\"#h-\" >\u0627\u06cc\u062c\u0627\u062f \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc<\/a><\/li><li><a href=\"#h--1\" >\u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/a><\/li><li><a href=\"#h-keras\" >\u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u00a0Keras<\/a><\/li><\/ul><\/li><li><a href=\"#h-3-keras\" >3- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras<\/a><ul><li><a href=\"#h-1-3-keras\" >1-3- \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Keras<\/a><\/li><li><a href=\"#h-2-3-keras\" >2-3- \u0645\u062f\u0644 \u0647\u0627\u06cc Keras<\/a><\/li><li><a href=\"#h-3-3\" >3-3- \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634<\/a><ul><li><a href=\"#h--2\" >\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u0647\u0627<\/a><\/li><li><a href=\"#h--3\" >\u062a\u0648\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646<\/a><\/li><\/ul><\/li><li><a href=\"#h-4-3\" >\u06f4-\u06f3- \u0622\u0645\u0648\u0632\u0634<\/a><\/li><li><a href=\"#h-5-3\" >\u06f5-\u06f3 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li><a href=\"#h-4\" >\u06f4- \u0645\u062b\u0627\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc<\/a><ul><li><a href=\"#h-1-4\" >\u06f1-\u06f4- \u0622\u0645\u0648\u0632\u0634<\/a><\/li><li><a href=\"#h-2-4\" >\u06f2-\u06f4- \u0627\u0633\u062a\u0646\u0628\u0627\u0637<\/a><\/li><\/ul><\/li><\/nav><\/ul><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-1\"><span class=\"ez-toc-section\" id=\"%DB%B1-_%DA%86%D8%A7%D8%B1%DA%86%D9%88%D8%A8_%D9%87%D8%A7%DB%8C_%DB%8C%D8%A7%D8%AF%DA%AF%DB%8C%D8%B1%DB%8C_%D8%B9%D9%85%DB%8C%D9%82\"><\/span><strong>\u06f1- \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0627\u0632 \u0633\u0627\u0644 \u06f2\u06f0\u06f1\u06f2 \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 <a href=\"https:\/\/scholar.google.com\/citations?user=xegzhJcAAAAJ\" target=\"_blank\" rel=\"noopener\">Alex Krizhevsky<\/a> \u0648 \u062a\u06cc\u0645\u0634 \u0628\u0631\u0646\u062f\u0647 \u0686\u0627\u0644\u0634 ImageNet \u0634\u062f\u0646\u062f \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0648\u0631\u062f \u062a\u0648\u062c\u0647 \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0642\u0631\u0627\u0631 \u06af\u0631\u0641\u062a. <a href=\"https:\/\/image-net.org\/\" target=\"_blank\" rel=\"noopener\">ImageNet<\/a> \u06cc\u06a9 \u0645\u0633\u0627\u0628\u0642\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627\u06cc\u062f \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0635\u062d\u06cc\u062d\u06cc \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u06cc\u06a9 \u0634\u06cc \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u06f1\u06f0\u06f0\u06f0 \u062f\u0633\u062a\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0627\u06cc\u0646 \u0627\u0634\u06cc\u0627 \u0634\u0627\u0645\u0644 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u062d\u06cc\u0648\u0627\u0646\u0627\u062a \u060c \u06af\u06cc\u0627\u0647\u0627\u0646 \u060c \u0627\u0628\u0632\u0627\u0631 \u060c \u0648\u0633\u0627\u06cc\u0644 \u0646\u0642\u0644\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06cc\u0646 \u0686\u0627\u0644\u0634 \u062a\u0648\u062c\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0645\u0647\u0646\u062f\u0633\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0631\u0627 \u0628\u0647 \u062e\u0648\u062f \u062c\u0644\u0628 \u06a9\u0631\u062f \u0648 \u0627\u0641\u0631\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u0628\u0647 \u062d\u0648\u0632\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u0631\u062f\u0627\u062e\u062a\u0646\u062f. \u0627\u0645\u0627 \u062f\u0631 \u0622\u0646 \u0632\u0645\u0627\u0646 \u060c \u0627\u0628\u0632\u0627\u0631 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u0628\u0647 \u06a9\u0627\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0646\u0648\u0638\u0647\u0648\u0631 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0646\u0628\u0648\u062f. \u0645\u062d\u0642\u0642\u0627\u0646 \u062a\u0644\u0627\u0634 \u0628\u0633\u06cc\u0627\u0631\u06cc \u06a9\u0631\u062f\u0647 \u0627\u0646\u062f \u062a\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0641\u06cc\u062f\u06cc \u0628\u0631\u0627\u06cc \u062a\u0633\u0647\u06cc\u0644 \u06a9\u0627\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u0646\u062f. \u0628\u0631\u062e\u06cc \u0627\u0632 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u067e\u0631\u0637\u0631\u0641\u062f\u0627\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631Tensorflow \u060c Theano \u060c Caffe \u060c Pytorch \u060c CNTK \u060c MXNet \u060c Torch \u060c deeplearning4j \u060c Caffe2 \u0648 \u0628\u0633\u06cc\u0627\u0631\u06cc \u062f\u06cc\u06af\u0631 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">Keras \u06cc\u06a9 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0646\u0648\u0634\u062a\u0647 \u0634\u062f\u0647 \u0648 \u0642\u0627\u0628\u0644\u06cc\u062a \u0627\u062c\u0631\u0627 \u062f\u0631 TensorFlow \u060c Theano \u06cc\u0627 CNTK \u0631\u0627 \u062f\u0627\u0631\u062f. \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0641\u0648\u0642 \u0637\u0648\u0631\u06cc \u0646\u0648\u0634\u062a\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0641\u0631\u0627\u062f \u0645\u0628\u062a\u062f\u06cc \u06a9\u0647 \u062f\u0627\u0646\u0634 \u0645\u062d\u062f\u0648\u062f\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0627\u0631\u0646\u062f \u0646\u06cc\u0632 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627\u0634\u0646\u062f. Keras \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 API \u0633\u0627\u062f\u0647 \u0648 \u0645\u0627\u0698\u0648\u0644\u0627\u0631 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u060c \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062c\u0632\u0626\u06cc\u0627\u062a \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0628\u0631 \u062f\u0627\u0631\u062f \u0648 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0631\u0627 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc \u0622\u0634\u0646\u0627 \u0634\u062f\u06cc\u062f \u0648 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u06cc\u0634\u062a\u0631 \u06a9\u0627\u0631 \u06a9\u0646\u06cc\u062f \u0648 \u06a9\u0646\u062a\u0631\u0644 \u0631\u0648\u0646\u062f \u06a9\u0627\u0631 \u0628\u0647 \u062f\u0633\u062a \u0628\u06af\u06cc\u0631\u06cc\u062f \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u0627\u0634\u0627\u0631\u0647 \u0634\u062f\u0647 \u06a9\u0627\u0631 \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-2-keras\"><span class=\"ez-toc-section\" id=\"%DB%B2-_%D9%86%D8%B5%D8%A8_%D9%88_%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_Keras\"><\/span><strong>\u06f2- \u0646\u0635\u0628 \u0648 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc Keras<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0627\u0634\u0627\u0631\u0647 \u0634\u062f \u060c Keras \u06cc\u06a9 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0627\u0646\u0646\u062f Theano \u06cc\u0627 Tensorflow \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 backend \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u060c \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0627 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u062f\u0631 \u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0646\u062f. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u060c \u0627\u06af\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u0627 \u0631\u0648\u06cc CPU \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u060c Tensorflow \u06cc\u0627 Theano \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc BLAS \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f. \u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631 \u060c \u0648\u0642\u062a\u06cc \u0631\u0648\u06cc GPU \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u060c \u0622\u0646 \u0647\u0627 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc CUDA \u0648 cuDNN \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06af\u0631 \u062f\u0631 \u062d\u0627\u0644 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0633\u06cc\u0633\u062a\u0645 \u062c\u062f\u06cc\u062f\u06cc \u0647\u0633\u062a\u06cc\u062f \u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a <a href=\"https:\/\/learnopencv.com\/installing-deep-learning-frameworks-on-ubuntu-with-cuda-support\/\" target=\"_blank\" rel=\"noopener\">\u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647<\/a> \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u0631\u06cc\u0646 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0645\u06a9 \u062a\u0627\u0646 \u06a9\u0646\u062f. \u0645\u0627 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0641\u0642\u0637 \u0628\u0647 \u0628\u062e\u0634 Keras \u062e\u0648\u0627\u0647\u06cc\u0645 \u067e\u0631\u062f\u0627\u062e\u062a.<\/p>\n<p style=\"text-align: justify;\">\u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u06a9\u0646\u0645 \u0647\u0645\u0647 \u0645\u0648\u0627\u0631\u062f \u0631\u0627 \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062c\u0627\u0632\u06cc \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f. \u0627\u06af\u0631 \u0647\u0646\u0648\u0632 \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0634\u0645\u0627 \u0646\u0635\u0628 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u0645\u0631\u062d\u0644\u0647 \u06f5 \u0645\u0642\u0627\u0644\u0647 \u0641\u0648\u0642 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 Theano \u0648 Tensorflow \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 Keras \u0646\u0635\u0628 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u060c \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u0686\u0646\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062f\u06cc\u06af\u0631 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u062f\u0627\u062f\u0647 (h5py) \u0648 \u062a\u062c\u0633\u0645 \u0648 \u062a\u0631\u0633\u06cc\u0645 (pydot \u060c graphviz \u0648 matplotlib) \u0645\u0641\u06cc\u062f \u0647\u0633\u062a\u0646\u062f.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\"><span class=\"ez-toc-section\" id=\"%D8%A7%DB%8C%D8%AC%D8%A7%D8%AF_%D9%85%D8%AD%DB%8C%D8%B7_%D9%85%D8%AC%D8%A7%D8%B2%DB%8C\"><\/span><strong>\u0627\u06cc\u062c\u0627\u062f \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc Python 3 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">mkvirtualenv virtual-py3 -p python3\n# Activate the virtual environment\nworkon virtual-py3<\/pre>\n\n\n<h3 class=\"wp-block-heading\" id=\"h--1\"><span class=\"ez-toc-section\" id=\"%D9%86%D8%B5%D8%A8_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7\"><\/span><strong>\u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">pip install Theano\n#If using only CPU\npip install tensorflow\n#If using GPU\npip install tensorflow-gpu\npip install h5py pydot matplotlib<\/pre>\n<p>grafviz \u0631\u0627 \u0647\u0645 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#For Ubuntu\nsudo apt-get install graphviz\n\n#For MacOs\nbrew install graphviz<\/pre>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-keras\"><span class=\"ez-toc-section\" id=\"%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_Keras\"><\/span><strong>\u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc &nbsp;Keras<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p class=\"EnlighterJSRAW\" style=\"text-align: justify;\" data-enlighter-language=\"python\">\u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u060c Keras \u0637\u0648\u0631\u06cc \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0627\u0632 Tensorflow \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 Backend \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u062f \u0632\u06cc\u0631\u0627 \u0628\u0633\u06cc\u0627\u0631 \u067e\u0631\u0637\u0631\u0641\u062f\u0627\u0631 \u0627\u0633\u062a. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0647 Theano \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f \u060c \u067e\u0648\u0634\u0647 ~\/.keras\/keras.json \u0631\u0627 \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">{\n    \"epsilon\": 1e-07,\n    \"floatx\": \"float32\",\n    \"image_data_format\": \"channels_last\",\n    \"backend\": \"tensorflow\"\n}<\/pre>\n<p>\u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u062d\u0627\u0644\u062a \u0632\u06cc\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f :<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">{\n    \"epsilon\": 1e-07,\n    \"floatx\": \"float32\",\n    \"image_data_format\": \"channels_first\",\n    \"backend\": \"theano\"\n}<\/pre>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-3-keras\"><span class=\"ez-toc-section\" id=\"%DB%B3-_%DA%86%D8%B1%D8%AE%D9%87_%DA%A9%D8%A7%D8%B1%DB%8C_Keras\"><\/span><strong>\u06f3- \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc Keras<\/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;\">Keras \u06cc\u06a9 \u0686\u0631\u062e\u0647 \u06a9\u0627\u0631\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0647\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u062f\u0631 \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u0648\u0642 \u0634\u0631\u062d \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645. \u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u060c \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0628\u0631 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0628\u0644\u0648\u06a9 \u0647\u0627 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u0648 \u06a9\u0627\u0631\u06a9\u0631\u062f \u0622\u0646 \u0647\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u0645.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-3-keras\"><span class=\"ez-toc-section\" id=\"%DB%B1-%DB%B3-_%D9%84%D8%A7%DB%8C%D9%87_%D9%87%D8%A7%DB%8C_Keras\"><\/span><strong>\u06f1-\u06f3- \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Keras<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0644\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0639\u0646\u0627\u0635\u0631 \u0633\u0627\u0632\u0646\u062f\u0647 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0642\u0644\u0645\u062f\u0627\u062f \u06a9\u0631\u062f \u0632\u06cc\u0631\u0627 \u0622\u0646 \u0647\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 \u0628\u0633\u062a\u0647 \u0628\u0647 \u0646\u0648\u0639 \u0644\u0627\u06cc\u0647 \u060c \u062e\u0631\u0648\u062c\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u0646\u062f. \u0645\u0627 \u062f\u0631 \u067e\u0633\u062a \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u0628\u0647 \u062c\u0632\u0626\u06cc\u0627\u062a \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645.<\/p>\n<p style=\"text-align: justify;\">Keras \u0634\u0627\u0645\u0644 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0632\u06cc\u0631 \u0645\u06cc \u0634\u0648\u062f :<\/p>\n<ul style=\"text-align: justify;\">\n<li>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Dense \u06a9\u0647 \u0644\u0627\u06cc\u0647 Fully Connected \u0646\u06cc\u0632 \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0647\u0631 \u06af\u0631\u0647 \u0648\u0631\u0648\u062f\u06cc \u0628\u0647 \u0647\u0631 \u06af\u0631\u0647 \u062e\u0631\u0648\u062c\u06cc \u0645\u062a\u0635\u0644 \u0627\u0633\u062a.<\/li>\n<li>\u0644\u0627\u06cc\u0647 Activation \u06a9\u0647 \u0634\u0627\u0645\u0644 \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0645\u0627\u0646\u0646\u062f ReLU \u060c tanh \u060c sigmoid \u0648 &#8230; \u0627\u0633\u062a.<\/li>\n<li>\u0644\u0627\u06cc\u0647 Dropout \u0628\u0631\u0627\u06cc \u0645\u0646\u0638\u0645 \u0633\u0627\u0632\u06cc \u062f\u0631 \u062d\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0628\u06a9\u0627\u0631 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li>Flatten, Reshape \u0648 \u063a\u06cc\u0631\u0647<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\u062c\u062f\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u060c \u0628\u0631\u062e\u06cc \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u0647\u0645 \u062f\u06cc\u06af\u0631 \u0646\u06cc\u0632 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f :<\/p>\n<ul style=\"text-align: justify;\">\n<li>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Convolution \u060c \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Pooling \u060c \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647 \u06a9\u0627\u0647\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Recurrent .<\/li>\n<li>\u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc Locally-connected, normalization \u0648 \u063a\u06cc\u0631\u0647<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u06cc\u06a9 \u0642\u0637\u0639\u0647 \u06a9\u062f \u0628\u0631\u0627\u06cc \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D<\/pre>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-3-keras\"><span class=\"ez-toc-section\" id=\"%DB%B2-%DB%B3-_%D9%85%D8%AF%D9%84_%D9%87%D8%A7%DB%8C_Keras\"><\/span><strong>\u06f2-\u06f3- \u0645\u062f\u0644 \u0647\u0627\u06cc Keras<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">Keras \u0628\u0631\u0627\u06cc \u062a\u0639\u0631\u06cc\u0641 \u0645\u062f\u0644 \u062f\u0648 \u0631\u0648\u0634 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f :<\/p>\n<ul style=\"text-align: justify;\">\n<li><a href=\"https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/keras\/Sequential\" target=\"_blank\" rel=\"noopener\">Sequential<\/a> \u060c \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u0646 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><a href=\"https:\/\/keras.io\/guides\/functional_api\/\" target=\"_blank\" rel=\"noopener\">Functional API<\/a> \u060c \u0628\u0631\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0645\u062f\u0644 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u0686\u0646\u062f\u06cc\u0646 \u062e\u0631\u0648\u062c\u06cc \u060c \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0645\u0634\u062a\u0631\u06a9 \u0648 \u063a\u06cc\u0631\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<\/ul>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.models import Sequential<\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u062f\u0644 Sequential \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0628\u0647 \u0633\u0627\u0632\u0646\u062f\u0647 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u0645 \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 )(model.add \u0644\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u060c \u0647\u0631 \u062f\u0648 \u0642\u0637\u0639\u0647 \u06a9\u062f \u0632\u06cc\u0631 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0627 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 (Dense) \u0628\u0627 \u06f1\u06f0 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627 \u0647\u0645 \u0628\u0631\u0627\u0628\u0631 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Activation\n\nmodel = Sequential([Dense(10, input_shape=(nFeatures,)),\n                    Activation('linear') ])<\/pre>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Activation\n\nmodel = Sequential()\nmodel.add(Dense(1, input_shape=(nFeatures,), kernel_initializer='uniform'))\nmodel.add(Activation('linear'))<\/pre>\n<p style=\"text-align: justify;\">\u0646\u06a9\u062a\u0647 \u0645\u0647\u0645\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062f\u0631 \u062a\u0639\u0631\u06cc\u0641 \u0645\u062f\u0644 \u0628\u0647 \u0622\u0646 \u062a\u0648\u062c\u0647 \u0634\u0648\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0634\u06a9\u0644 \u0648\u0631\u0648\u062f\u06cc \u0644\u0627\u06cc\u0647 \u0627\u0648\u0644 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u062f\u0631 \u0642\u0637\u0639\u0647 \u06a9\u062f \u0628\u0627\u0644\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 input_shape \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0627\u0648\u0644\u06cc\u0646 \u0644\u0627\u06cc\u0647 Dense \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. \u0634\u06a9\u0644 \u0633\u0627\u06cc\u0631 \u0644\u0627\u06cc\u0647 \u0647\u0627 \u062a\u0648\u0633\u0637 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644\u0631 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-3\"><span class=\"ez-toc-section\" id=\"%DB%B3-%DB%B3-_%D9%BE%DB%8C%DA%A9%D8%B1%D8%A8%D9%86%D8%AF%DB%8C_%D9%81%D8%B1%D8%A2%DB%8C%D9%86%D8%AF_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\"><\/span><strong>\u06f3-\u06f3- \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u067e\u0633 \u0627\u0632 \u0622\u0645\u0627\u062f\u0647 \u0634\u062f\u0646 \u0645\u062f\u0644 \u060c \u0628\u0627\u06cc\u062f \u0641\u0631\u0622\u06cc\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u06cc\u0639\u0646\u06cc :<\/p>\n<ul style=\"text-align: justify;\">\n<li>Optimizer \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0648\u0632\u0646 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u06a9\u0646\u062f<\/li>\n<li>\u0646\u0648\u0639 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u06cc\u0627 \u062a\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645<\/li>\n<li>\u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u062f\u0631 \u062d\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645<\/li>\n<li>\u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 backend \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645<\/li>\n<li>\u0648 \u0647\u0631 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u06cc\u06af\u0631\u06cc<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\u0627\u06cc\u0646 \u06a9\u0627\u0631 \u062f\u0631 Keras \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()model.compile \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f. \u0642\u0637\u0639\u0647 \u06a9\u062f \u0632\u06cc\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f \u0622\u0646 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">model.compile(optimizer='rmsprop',  loss='mse', metrics=['mse', 'mae'])<\/pre>\n<p style=\"text-align: justify;\">\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0627\u0644\u0632\u0627\u0645\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0634\u062f\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0648 \u062a\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646 \u0647\u0633\u062a\u0646\u062f.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h--2\"><strong>\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u0647\u0627<\/strong><\/h4>\n\n\n<p style=\"text-align: justify;\">Keras \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0634\u0627\u0645\u0644<\/p>\n<ul style=\"text-align: justify;\">\n<li>Stochastic Gradient Descent ( SGD )<\/li>\n<li>Adam<\/li>\n<li>RMSprop<\/li>\n<li>AdaGrad<\/li>\n<li>AdaDelta \u0648 \u063a\u06cc\u0631\u0647<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">RMSprop \u0628\u0631\u0627\u06cc \u0627\u06a9\u062b\u0631 \u0645\u0633\u0627\u0626\u0644 \u06af\u0632\u06cc\u0646\u0647 \u0645\u0646\u0627\u0633\u0628\u06cc \u0627\u0633\u062a.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h--3\"><strong>\u062a\u0648\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646<\/strong><\/h4>\n\n\n<p style=\"text-align: justify;\">\u062f\u0631 \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647 \u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062e\u0637\u0627\u06cc \u0628\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645. \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u06cc\u0646 \u062e\u0637\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631 \u0627\u063a\u0644\u0628 \u062a\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646 \u06cc\u0627 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u06cc\u0627 \u062a\u0627\u0628\u0639 \u0647\u062f\u0641 \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0633\u062a\u0647 \u0628\u0647 \u06a9\u0627\u0631\u06cc \u06a9\u0647 \u0628\u0627 \u062e\u0637\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u062f \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u06cc\u0634 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0632\u06cc\u0627\u0646 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f. \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u060c \u0645\u0627 \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 :<\/p>\n<ul>\n<li style=\"text-align: justify;\">\u0622\u0646\u062a\u0631\u0648\u067e\u06cc \u0645\u062a\u0642\u0627\u0637\u0639 \u0628\u0627\u06cc\u0646\u0631\u06cc (binary-cross-entropy) \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u06a9\u0644\u0627\u0633\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc .<\/li>\n<li style=\"text-align: justify;\">\u0622\u0646\u062a\u0631\u0648\u067e\u06cc \u0645\u062a\u0642\u0627\u0637\u0639 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f\u0647 (categorical-cross-entropy) \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647 .<\/li>\n<li style=\"text-align: justify;\">\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639 \u062e\u0637\u0627 (MSE) \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0633\u0626\u0644\u0647 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u063a\u06cc\u0631\u0647 .<\/li>\n<\/ul>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-3\"><span class=\"ez-toc-section\" id=\"%DB%B4-%DB%B3-_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\"><\/span><strong>\u06f4-\u06f3- \u0622\u0645\u0648\u0632\u0634<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify\">\u067e\u0633 \u0627\u0632 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0645\u062f\u0644 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u0631\u0627\u062d\u0644 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()model.fit \u062f\u0631 Keras \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f. \u06a9\u0627\u0631\u0628\u0631\u062f \u0622\u0646 \u0628\u0647 \u0634\u0631\u062d \u0632\u06cc\u0631 \u0627\u0633\u062a :<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">model.fit(trainFeatures, trainLabels, batch_size=4, epochs = 100)<\/pre>\n<p style=\"text-align: justify\">\u0645\u0627 \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u0633\u062a\u0647 \u0648 \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645. Keras \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0646\u062d\u0648\u0647 \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u06a9\u0631\u0627\u0631\u06cc \u0628\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u0628\u0631\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627\u060c \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f. \u0633\u0627\u06cc\u0631 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0642\u0628\u0644 \u0628\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0628\u0648\u062f.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5-3\"><span class=\"ez-toc-section\" id=\"%DB%B5-%DB%B3_%D8%A7%D8%B1%D8%B2%DB%8C%D8%A7%D8%A8%DB%8C_%D9%85%D8%AF%D9%84\"><\/span><strong>\u06f5-\u06f3 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify\">\u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u060c \u0628\u0627\u06cc\u062f \u062f\u0631\u0633\u062a\u06cc \u06a9\u0627\u0631\u06a9\u0631\u062f \u0645\u062f\u0644 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0646\u0634\u062f\u0647 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645. \u062f\u0631 Keras \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0647 \u062f\u0648 \u0631\u0648\u0634 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f.<\/p>\n<ul style=\"text-align: justify\">\n<li>()model.evaluate : \u06a9\u0647 \u0645\u06cc\u0632\u0627\u0646 \u062a\u0644\u0641\u0627\u062a \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0634\u062e\u0635 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 ()model.compile \u0631\u0627 \u067e\u06cc\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f. \u0647\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0648 \u0647\u0645 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u06a9\u0645\u06cc \u062f\u0642\u062a \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0628\u0644 \u0648 \u0631\u06cc\u0632\u0647 \u06a9\u0627\u0631\u06cc \u0628\u06cc\u0634\u062a\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f \u062a\u0627 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f.<\/li>\n<li>()model.predict : \u062e\u0631\u0648\u062c\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u06a9\u06cc\u0641\u06cc \u062e\u0631\u0648\u062c\u06cc \u0647\u0627 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a.<\/li>\n<\/ul>\n<p style=\"text-align: justify\">\u062d\u0627\u0644 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627 \u0648 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc keras \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0633\u0627\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-4\"><span class=\"ez-toc-section\" id=\"%DB%B4-_%D9%85%D8%AB%D8%A7%D9%84_%D8%B1%DA%AF%D8%B1%D8%B3%DB%8C%D9%88%D9%86_%D8%AE%D8%B7%DB%8C\"><\/span><strong>\u06f4- \u0645\u062b\u0627\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p style=\"text-align: justify;\">\u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0645\u06cc \u0622\u0645\u0648\u0632\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 <a href=\"https:\/\/fa.wikipedia.org\/wiki\/%D8%B1%DA%AF%D8%B1%D8%B3%DB%8C%D9%88%D9%86_%D8%AE%D8%B7%DB%8C\" target=\"_blank\" rel=\"noopener\">\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc<\/a> \u060c \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0633\u0627\u062f\u0647 \u0628\u0627 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645. \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0645\u0627 \u0627\u0632 <a href=\"https:\/\/keras.io\/api\/datasets\/\" target=\"_blank\" rel=\"noopener\">\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 Boston Housing<\/a> \u0645\u0648\u062c\u0648\u062f \u062f\u0631 Keras \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0634\u0627\u0645\u0644 \u06f1\u06f3 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0632 \u062e\u0627\u0646\u0647 \u062f\u0631 \u0645\u06a9\u0627\u0646 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0637\u0631\u0627\u0641 \u0634\u0647\u0631 \u0628\u0648\u0633\u062a\u0648\u0646 \u062f\u0631 \u0627\u0648\u0627\u062e\u0631 \u062f\u0647\u0647 \u06f1\u06f9\u06f7\u06f0 \u0627\u0633\u062a. \u0627\u0647\u062f\u0627\u0641 (target) \u0642\u06cc\u0645\u062a \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u062e\u0627\u0646\u0647 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u0644\u0647 \u0647\u0633\u062a\u0646\u062f. \u0628\u0627 \u06f1\u06f3 \u0648\u06cc\u0698\u06af\u06cc \u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u0645\u062f\u0644\u06cc \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645 \u06a9\u0647 \u0642\u06cc\u0645\u062a \u062e\u0627\u0646\u0647 \u0631\u0627 \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-4\"><span class=\"ez-toc-section\" id=\"%DB%B1-%DB%B4-_%D8%A2%D9%85%D9%88%D8%B2%D8%B4\"><\/span><strong>\u06f1-\u06f4- \u0622\u0645\u0648\u0632\u0634<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u0645\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u0634\u0628\u06a9\u0647 \u0627\u0632 \u0645\u062f\u0644 Sequential \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0633\u067e\u0633 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 Dense \u0628\u0627 \u062a\u0639\u062f\u0627\u062f \u0648\u0631\u0648\u062f\u06cc \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0648 \u06cc\u06a9 \u062e\u0631\u0648\u062c\u06cc \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0633\u067e\u0633 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0628\u062e\u0634 \u0642\u0628\u0644 \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u0647 \u0634\u062f \u060c \u0645\u0637\u0627\u0628\u0642 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0645\u062f\u0644 \u0631\u0627 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u0648 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0633\u062a\u0648\u0631 fit \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645. \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0627\u0632 \u062a\u0627\u0628\u0639 ()model.summary \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u0645\u062f\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u062a\u0645\u0627\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 keras \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u062a\u0627\u0628\u0639 ()load_data \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u06a9\u062f \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">from tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Activation\nfrom tensorflow.keras.datasets import boston_housing\n\n(X_train, Y_train), (X_test, Y_test) = boston_housing.load_data()\n\nnFeatures = X_train.shape[1]\n\nmodel = Sequential()\nmodel.add(Dense(1, input_shape=(nFeatures,), kernel_initializer='uniform'))\nmodel.add(Activation('linear'))\n\nmodel.compile(optimizer='rmsprop',  loss='mse', metrics=['mse', 'mae'])\n\nmodel.fit(X_train, Y_train, batch_size=4, epochs=1000)\n\nmodel.summary()<\/pre>\n<p style=\"text-align: justify;\">\u062e\u0631\u0648\u062c\u06cc ()model.summary \u062f\u0631 \u0632\u06cc\u0631 \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u06f1\u06f4 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f ( \u06f1\u06f3 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0631\u0627\u06cc \u0648\u0632\u0646 \u0647\u0627 \u0648 \u06f1 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0631\u0627\u06cc \u0628\u0627\u06cc\u0627\u0633 )<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">_______________________________________________________\nLayer (type)           Output Shape        Param #   \n=======================================================\ndense_1 (Dense)        (None, 1)             14        \n=======================================================\nTotal params: 14\nTrainable params: 14\nNon-trainable params: 0<\/pre>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-4\"><span class=\"ez-toc-section\" id=\"%DB%B2-%DB%B4-_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7\"><\/span><strong>\u06f2-\u06f4- \u0627\u0633\u062a\u0646\u0628\u0627\u0637<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p style=\"text-align: justify;\">\u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u060c \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0631 \u0645\u0648\u0631\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u06a9\u0646\u06cc\u0645. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()model.evaluate \u0632\u06cc\u0627\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0631\u0627 \u062f\u0631\u06cc\u0627\u0628\u06cc\u0645. \u0645\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0628\u0639 ()model.predict \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u06cc\u0645. \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0628\u0631\u0627\u06cc \u06f5 \u0646\u0645\u0648\u0646\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0648\u0644\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631\u0633\u062a\u06cc \u0645\u0628\u0646\u0627 \u0631\u0627 \u0628\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0645\u062f\u0644 \u062e\u0648\u062f \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">model.evaluate(X_test, Y_test, verbose=True)\n\nY_pred = model.predict(X_test)\n\nprint(Y_test[:5])\nprint(Y_pred[:5,0])<\/pre>\n<p>\u06a9\u0647 \u062e\u0631\u0648\u062c\u06cc \u0628\u0631\u0627\u0628\u0631 \u0627\u0633\u062a \u0628\u0627 :<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">[  \u06f7\u066b\u06f2  \u06f1\u06f8\u066b\u06f8  \u06f1\u06f9\u066b   \u06f2\u06f7\u066b   \u06f2\u06f2\u066b\u06f2]\n[  \u06f7\u066b\u06f2  \u06f1\u06f8\u066b\u06f2\u06f6  \u06f2\u06f1\u066b\u06f3\u06f8  \u06f2\u06f9\u066b\u06f2\u06f8  \u06f2\u06f3\u066b\u06f7\u06f2]<\/pre>\n<p><span style=\"font-size: inherit;\">\u0645\u0644\u0627\u062d\u0638\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631\u0633\u062a\u06cc \u0645\u0628\u0646\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u0646\u062f\u060c \u0627\u0645\u0627 \u062f\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u062e\u0637\u0627\u0647\u0627\u06cc\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/span><\/p>\n<h4><strong>\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f :<\/strong><\/h4>\n\n\n<div class=\"wp-block-group has-vivid-green-cyan-color has-text-color\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<ul class=\"wp-block-yoast-seo-related-links\"><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/why-keras-leading-deep-learning-api\/\">\u0686\u0631\u0627 Keras \u060c API \u067e\u06cc\u0634\u0631\u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a\u061f<\/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><li><a href=\"https:\/\/shahaab-co.com\/mag\/edu\/machine-vision\/license-plate-recognition-using-opencv-yolo-and-keras\/\">\u067e\u0631\u0648\u0698\u0647 \u062a\u0634\u062e\u06cc\u0635 \u067e\u0644\u0627\u06a9 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV \u060c YOLO \u0648 Keras<\/a><\/li><\/ul>\n<\/div><\/div>\n\n\n<a href=\"#\" class=\"shortc-button small blue \">\u0645\u0646\u0628\u0639<\/a> <a href=\"https:\/\/learnopencv.com\/deep-learning-using-keras-the-basics\/\" 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;11955&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;\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&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>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0627\u062e\u0647 \u0627\u06cc \u0627\u0632 \u0631\u0634\u062a\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062f\u0631 \u0633\u0627\u0644 \u0647\u0627\u06cc \u0627\u062e\u06cc\u0631 \u060c \u0646\u0633\u0628\u062a \u0628\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0633\u0646\u062a\u06cc \u060c \u062f\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u060c \u0631\u0628\u0627\u062a\u06cc\u06a9 \u0648 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u06cc\u06af\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a \u0686\u0634\u0645\u06af\u06cc\u0631\u06cc \u062f\u0627\u0634\u062a\u0647 &hellip;<\/p>\n","protected":false},"author":17,"featured_media":12057,"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],"class_list":["post-11955","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-deep-learning","category-edu","tag-147","tag-97","tag-101"],"_links":{"self":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/11955","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=11955"}],"version-history":[{"count":2,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/11955\/revisions"}],"predecessor-version":[{"id":16189,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/11955\/revisions\/16189"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media\/12057"}],"wp:attachment":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media?parent=11955"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/categories?post=11955"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/tags?post=11955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}