{"id":4792,"date":"2020-01-21T10:38:11","date_gmt":"2020-01-21T07:08:11","guid":{"rendered":"https:\/\/shahaab-co.ir\/mag\/?p=4792"},"modified":"2020-03-02T13:22:58","modified_gmt":"2020-03-02T09:52:58","slug":"getting-started-with-tensorflow-the-easy-way-part-2","status":"publish","type":"post","link":"https:\/\/shahaab-co.com\/mag\/edu\/getting-started-with-tensorflow-the-easy-way-part-2\/","title":{"rendered":"\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u062f\u0648\u0645)"},"content":{"rendered":"<p style=\"text-align: justify;\">\u0627\u06cc\u0646 \u0645\u0637\u0644\u0628 \u0628\u062e\u0634 \u062f\u0648\u0645 \u0627\u0632 \u0633\u0631\u06cc \u0645\u0642\u0627\u0644\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0686\u06af\u0648\u0646\u06af\u06cc \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627<a href=\"https:\/\/www.tensorflow.org\/\" target=\"_blank\" rel=\"noopener\"> TensorFlow<\/a> \u0645\u06cc \u0628\u0627\u0634\u062f \u06a9\u0647 \u0628\u0647 \u0645\u0648\u0636\u0648\u0639 \u0645\u062a\u063a\u06cc\u0631 \u0647\u0627 \u062f\u0631 Tensorflow \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u062f.<\/p>\n<div class=\"clear\"><\/div><div style=\"margin-top:20px; margin-bottom:20px;\" class=\"divider divider-normal\"><\/div>\n<p><strong>\u0645\u0642\u0627\u0644\u0647 \u0645\u0631\u062a\u0628\u0637 :<\/strong><\/p>\n<ul>\n<li>\n<p class=\"post-box-title\"><strong><a href=\"https:\/\/shahaab-co.ir\/mag\/edu\/deep-learning\/getting-started-with-tensorflow-the-easy-way\/\" rel=\"bookmark noopener\" target=\"_blank\">\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0627\u0648\u0644)<\/a><\/strong><\/p>\n<\/li>\n<li>\n<p class=\"post-box-title\"><strong><a href=\"https:\/\/shahaab-co.ir\/mag\/edu\/getting-started-with-tensorflow-the-easy-way-part-3\/\" rel=\"bookmark noopener\" target=\"_blank\">\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0633\u0648\u0645)<\/a><\/strong><\/p>\n<\/li>\n<li><a href=\"https:\/\/shahaab-co.ir\/mag\/edu\/getting-started-with-tensorflow-the-easy-way-part-4\/\" target=\"_blank\" rel=\"noopener\"><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0686\u0647\u0627\u0631\u0645)<\/strong><\/a><\/li>\n<\/ul>\n<div class=\"clear\"><\/div><div style=\"margin-top:20px; margin-bottom:20px;\" class=\"divider divider-normal\"><\/div>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/shahaab-co.ir\/mag\/wp-content\/uploads\/2020\/01\/tensorflow-1024x854.jpg\" alt=\"tensorflow\" class=\"wp-image-4793\" width=\"512\" height=\"427\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/tensorflow-1024x854.jpg 1024w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/tensorflow-300x250.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/tensorflow-768x640.jpg 768w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/tensorflow.jpg 1050w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><\/figure><\/div>\n\n\n<p style=\"text-align: justify;\">\u0628\u0627 \u0648\u062c\u0648\u062f \u0641\u0631\u0627\u06af\u06cc\u0631 \u0634\u062f\u0646 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u0648 \u0645\u062d\u0642\u0642\u0627\u0646 \u062f\u0627\u062f\u0647 \u0628\u0627 \u0645\u0639\u0636\u0644\u06cc \u0627\u062c\u062a\u0646\u0627\u0628 \u0646\u0627\u067e\u0630\u06cc\u0631 \u0631\u0648\u0628\u0631\u0648 \u0647\u0633\u062a\u0646\u062f- \u06a9\u062f\u0627\u0645 \u06cc\u06a9 \u0627\u0632 \u0627\u06cc\u0646 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0622\u0646 \u0647\u0627 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a\u061f<\/p>\n<p style=\"text-align: justify;\">TensorFlow \u0645\u0637\u0645\u0626\u0646\u0627\u064b \u0628\u0627 \u062f\u0627\u0634\u062a\u0646 \u06af\u0631\u0648\u0647 \u0647\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af \u0648 &#8216;\u06af\u0631\u0641\u062a\u0646 \u06f1\u06f1\u06f2\u062a\u0627 \u06f1\u06f8\u06f0 \u0633\u062a\u0627\u0631\u0647 \u062f\u0631 \u0645\u062e\u0632\u0646 GitHub\u060c \u0622\u0646 \u0647\u0645 \u062f\u0631 \u0645\u062f\u062a \u06f3 \u0633\u0627\u0644 \u0645\u0637\u0644\u0648\u0628 \u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0622\u0645\u0627\u0631 \u06af\u0648\u06af\u0644 \u062a\u0631\u0646\u062f \u0627\u0632 TensorFlow \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u067e\u06cc\u062a\u0648\u0631\u0686 \u062f\u0631 \u06f5 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a :<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https:\/\/shahaab-co.ir\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f.jpg\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" width=\"1024\" height=\"540\" src=\"https:\/\/shahaab-co.ir\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f-1024x540.jpg\" alt=\"\u06af\u0648\u06af\u0644 \u062a\u0631\u0646\u062f \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 tensorflow \u0648 \u067e\u0627\u06cc\u062a\u0648\u0631\u0686 pytorch\" class=\"wp-image-4794\" title=\"\" srcset=\"https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f-1024x540.jpg 1024w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f-300x158.jpg 300w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f-768x405.jpg 768w, https:\/\/shahaab-co.com\/mag\/wp-content\/uploads\/2020\/01\/\u06af\u0648\u06af\u0644-\u062a\u0631\u0646\u062f.jpg 1152w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n<p style=\"text-align: justify;\">\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u06cc\u0632\u0627\u0646 \u067e\u0630\u06cc\u0631\u0634 \u0627\u0648\u0644\u06cc\u0647 TensorFlow \u062a\u0648\u0633\u0637 \u062c\u0648\u0627\u0645\u0639 \u0639\u0644\u0648\u0645 \u062f\u0627\u062f\u0647 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0648\u062f\u0646 \u0634\u06cc\u0628 \u0645\u0646\u062d\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0622\u0646\u060c \u06a9\u0645 \u0628\u0648\u062f\u0647 \u0627\u0633\u062a. \u0647\u062f\u0641 \u0627\u0632 \u0627\u0631\u0627\u0626\u0647 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u0642\u0627\u0644\u0627\u062a \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0622\u0633\u0627\u0646\u062a\u0631 \u0634\u0648\u062f.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 (\u0628\u062e\u0634 \u062f\u0648\u0645 ) \u0645\u0641\u0647\u0648\u0645 \u0645\u0647\u0645 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0631\u0627 \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u06cc\u0647 \u0633\u0627\u062e\u062a \u0645\u062f\u0644 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u0646\u062f\u060c \u067e\u0648\u0634\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f. \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u0628\u062e\u0634 \u0647\u0627\u06cc TensorFlow \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0627\u0639\u0644\u0627\u0645 \u0648 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0637\u0627\u0644\u0628 \u062c\u062f\u06cc\u062f \u0628\u062d\u062b \u0631\u0627 \u0622\u063a\u0627\u0632 \u06a9\u0646\u06cc\u0645\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0631\u06cc\u0639 \u0645\u0637\u0627\u0644\u0628\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\u06cc\u0645\u060c \u0645\u0631\u0648\u0631 \u06a9\u0646\u06cc\u0645:<\/p>\n<p style=\"text-align: justify;\">\u06f1- TensorFlow \u0628\u0631 \u0631\u0648\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u06af\u0631\u0647 \u0647\u0627\u0633\u062a\u060c \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u06f2- \u0627\u06cc\u0646 \u06af\u0631\u0647 \u0647\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0633\u062a\u0647 \u062c\u0645\u0639\u06cc \u062c\u0631\u06cc\u0627\u0646 \u0639\u0645\u0644\u06cc\u0627\u062a\u06cc \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u062a\u0634\u06a9\u06cc\u0644 \u0645\u06cc \u062f\u0647\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u06f3- \u0647\u0631 \u06af\u0631\u0647\u060c \u0639\u0645\u0644\u06cc\u0627\u062a\u06cc \u0627\u0633\u062a \u0628\u0627 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0648\u0631\u0648\u062f\u06cc \u0647\u0627 \u06a9\u0647 \u062e\u0631\u0648\u062c\u06cc \u0644\u0627\u0632\u0645 \u0631\u0627 \u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0628\u0631\u0627\u06cc \u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647<a href=\"https:\/\/shahaab-co.ir\/mag\/edu\/deep-learning\/getting-started-with-tensorflow-the-easy-way\/\" target=\"_blank\" rel=\"noopener\"> \u0645\u0642\u0627\u0644\u0647 \u0628\u062e\u0634 \u0627\u0648\u0644: \u0646\u0635\u0628 \u0648 \u062a\u0646\u0638\u06cc\u0645 Tensorflow\u060c \u0633\u06cc\u0646\u062a\u06a9\u0633 \u0647\u0627 \u0648 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627<\/a> \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3>\u0645\u062a\u063a\u06cc\u0631\u0647\u0627<\/h3>\n<p style=\"text-align: justify;\">\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0645\u0627 \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0627 \u0631\u0648\u0634 scikit-learn \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645\u060c \u0648\u0632\u0646 \u0647\u0627 \u0648 \u0628\u0627\u06cc\u0627\u0633 \u0647\u0627 \u0628\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc ()model.fit\u00a0 \u0628\u0647\u06cc\u0646\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0627\u0645\u0627 \u062f\u0631 TensorFlow \u060c \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u06a9\u0644 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062e\u0648\u062f\u062a\u0627\u0646 \u0628\u0633\u0627\u0632\u06cc\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06cc\u0646\u062c\u0627\u0633\u062a \u06a9\u0647 <strong>\u0645\u062a\u063a\u06cc\u0631\u0647\u0627<\/strong> \u0648\u0627\u0631\u062f \u0635\u062d\u0646\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0622\u0646 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0632\u0646 \u0647\u0627 \u0648 \u0628\u0627\u06cc\u0627\u0633 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0637\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0627\u06cc\u0646 \u0641\u0631\u0627\u06cc\u0646\u062f \u0628\u0627 \u0641\u0631\u0622\u06cc\u0646\u062f \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0633\u0646\u062a\u06cc \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 TensorFlow \u060c \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u0642\u0628\u0644 \u0627\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0647\u0627 \u062f\u0631 \u0628\u062e\u0634 session\u060c \u0647\u0645\u0647 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f. \u0628\u06af\u0630\u0627\u0631\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u0645 \u062a\u0627 \u062f\u0631\u06a9 \u0628\u0647\u062a\u0631\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0645\u0633\u0626\u0644\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645. \u0627\u0628\u062a\u062f\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TensorFlow \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0633\u067e\u0633 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u06a9\u0646\u06cc\u062f:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import tensorflow as tffirst_var = tf.random_uniform((4,4),0,1)\nsecond_var = tf.ones((4,4))\nprint(first_var)Out []: Tensor(\"random_uniform:0\", shape=(4, 4), dtype=float32)<\/pre>\n<p>\u0645\u062a\u063a\u06cc\u0631 first_var \u0647\u0646\u0648\u0632 \u06cc\u06a9 \u0634\u06cc\u0626 \u062f\u0631 Tensor \u0627\u0633\u062a \u0648 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u0627\u0632 \u0634\u06a9\u0644 (\u06f4\u060c\u06f4) \u0646\u06cc\u0633\u062a.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Always initialize before running a session\ninit = tf.global_variables_initializer()<\/pre>\n<p>\u0628\u0647 \u06cc\u0627\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0647\u0646\u06af\u0627\u0645 \u0637\u0631\u0627\u062d\u06cc \u0634\u0628\u06a9\u0647 \u062f\u0631 TensorFlow\u060c \u0627\u06cc\u0646 \u0628\u0644\u0648\u06a9 \u06a9\u062f \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0628\u0647 \u0622\u0633\u0627\u0646\u06cc \u0641\u0631\u0627\u0645\u0648\u0634 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">with tf.Session() as sess:\ninit.run()\nprint(first_var.eval())Out []: [[0.6423092 0.5614004 0.53549814 0.5330738 ]\n[\u06f0\u066b\u06f3\u06f5\u06f2\u06f1\u06f4\u06f8\u06f9 \u06f0\u066b\u06f0\u06f7\u06f5\u06f3\u06f7\u06f6\u06f7\u06f5 \u06f0\u066b\u06f3\u06f1\u06f8\u06f9\u06f1\u06f4\u06f9 \u06f0\u066b\u06f3\u06f8\u06f6\u06f0\u06f6\u06f7\u06f2\u06f7]\n[\u06f0\u066b\u06f2\u06f9\u06f5\u06f9\u06f1\u06f6\u06f6\u06f8 \u06f0\u066b\u06f3\u06f0\u06f7\u06f3\u06f0\u06f3\u06f6\u06f7 \u06f0\u066b\u06f1\u06f7\u06f5\u06f1\u06f1\u06f3\u06f8 \u06f0\u066b\u06f7\u06f4\u06f1\u06f7\u06f2\u06f4 ]\n[\u06f0\u066b\u06f4\u06f8\u06f2\u06f5\u06f8\u06f7\u06f2\u06f2 \u06f0\u066b\u06f3\u06f3\u06f0\u06f9\u06f1\u06f2\u06f9\u06f5 \u06f0\u066b\u06f5\u06f7\u06f8\u06f2\u06f6\u06f6\u06f6 \u06f0\u066b\u06f7\u06f4\u06f4\u06f7\u06f1\u06f1\u06f5 ]]<\/pre>\n<p style=\"text-align: justify;\">\u0628\u0644\u0647 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062a\u063a\u06cc\u0631 \u0634\u0645\u0627 \u0647\u0645\u06cc\u0646 \u0627\u0644\u0627\u0646 \u0645\u0648\u0631\u062f \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648\u0627\u0642\u0639 \u0634\u062f.<\/p>\n<h5>Placeholders (\u0645\u062d\u0644 \u0630\u062e\u06cc\u0631\u0647 \u062f\u0627\u062f\u0647)<\/h5>\n<p style=\"text-align: justify;\">\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0627\u0632 \u0646\u0627\u0645 \u0622\u0646 \u0647\u0627 \u067e\u06cc\u062f\u0627\u0633\u062a\u060c \u0627\u0632 \u0622\u0646 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0646\u06af\u0647 \u062f\u0627\u0634\u062a\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u062f\u0631 \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u0627 \u06a9\u0627\u0631 \u0645\u0627\u060c \u0622\u0646 \u0647\u0627 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u062e\u0627\u0644\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0627\u0646 \u062f\u0631 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631\u00a0 \u0645\u062f\u0644 \u0647\u0627 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u06cc\u0631\u0646\u062f. \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc\u060c \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">integer_placeholder = tf.placeholder(tf.int32)\nfloat_placeholder = tf.placeholder(tf.float64)<\/pre>\n<p>\u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0634\u06a9\u0644 \u06cc\u06a9 placeholder \u0628\u0647 \u0635\u0648\u0631\u062a (None, no_of_features) \u0627\u0633\u062a. \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u0628\u0627\u0631 \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u06a9\u0645\u06cc \u0628\u0631\u0627\u06cc\u062a\u0627\u0646 \u06af\u06cc\u062c \u06a9\u0646\u0646\u062f\u0647 \u0628\u0627\u0634\u062f. \u0627\u0645\u0627\u00a0 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u062f\u0627\u0631 \u0628\u0639\u062f\u06cc \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0647 \u0628\u0647 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0633\u062a\u0648\u0631 None \u0645\u0646\u0637\u0642\u06cc \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc\u0631\u0633\u062f. \u0645\u062f\u0644 \u0645\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0628\u0627\u06cc\u062f \u0627\u0632 \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u062f \u0648 \u0627\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u062b\u0627\u0628\u062a \u0646\u06cc\u0633\u062a.<\/p>\n<p style=\"text-align: justify;\">\u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631 no_of_features \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0627\u06cc\u062f \u0645\u062a\u0646\u0627\u0633\u0628 \u0628\u0627 \u0645\u062f\u0644 \u0634\u0645\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0634\u0645\u0627 \u0627\u0631\u0627\u0626\u0647 \u0634\u0648\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">train_data = tf.placeholder(tf.float32, shape=(None,5))<\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0634\u06a9\u0644 placeholder \u0628\u0631\u0627\u06cc train_data \u0646\u06cc\u0632 \u0628\u0627\u06cc\u062f \u0628\u0627 \u0634\u06a9\u0644 \u0622\u0646 \u0628\u0631\u0627\u06cc test_data \u06cc\u06a9\u0633\u0627\u0646 \u0628\u0627\u0634\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">test_data = tf.placeholder(tf.float32, shape=(None,5))<\/pre>\n<h5 style=\"text-align: right;\">\u0686\u0647 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f\u061f<\/h5>\n<p style=\"text-align: justify;\">\u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0645\u0633\u0626\u0644\u0647 \u0647\u0645 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631 \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0647\u0645 \u0628\u0631 \u0631\u0648\u06cc \u0645\u062f\u0644 \u0627\u062b\u0631 \u0628\u06af\u0630\u0627\u0631\u062f. \u0645\u0639\u0645\u0648\u0644\u0627\u064b float32 \u06cc\u06a9 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645\u0646 \u0647\u0645 \u0627\u0632 \u0646\u0638\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u0647\u0645 \u0628\u0631\u0627\u06cc \u0635\u062d\u062a \u06a9\u0627\u0631 \u0645\u062d\u0633\u0648\u0628 \u0645\u06cc\u0634\u0648\u062f. float64 \u0646\u06cc\u0632 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u062f\u0642\u062a \u0648 \u0635\u062d\u06cc\u062d \u0628\u0648\u062f\u0646 \u0627\u0632 \u0627\u0647\u0645\u06cc\u062a \u0628\u0627\u0644\u0627\u06cc\u06cc \u0628\u0631\u062e\u0648\u0631\u062f\u0627\u0631 \u0628\u0627\u0634\u062f \u06af\u0632\u06cc\u0646\u0647 \u0645\u0646\u0627\u0633\u0628\u06cc \u0627\u0633\u062a.<\/p>\n<h5>\u00a0\u0627\u062c\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0648 placeholder \u0647\u0627<\/h5>\n<p style=\"text-align: justify;\">\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u06a9\u0646\u0627\u0631 \u0647\u0645 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0646 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0648 placeholder \u0647\u0627\u060c \u0634\u0628\u06a9\u0647 \u0633\u0627\u062e\u062a\u06af\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645. \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0646\u0642\u0634 \u0645\u0647\u0645\u06cc \u062f\u0631 \u0642\u0633\u0645\u062a \u0628\u0639\u062f\u06cc \u0627\u06cc\u0646 \u0633\u0631\u06cc \u0628\u0627\u0632\u06cc \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import tensorflow as tf\nimport numpy as np\nnp.random.seed(13)\ntf.set_random_seed(13)<\/pre>\n<p>\u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0647\u0645\u0627\u0646 \u062e\u0631\u0648\u062c\u06cc \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u062f\u060c \u0639\u062f\u062f \u062a\u0635\u0627\u062f\u0641\u06cc \u06f1\u06f3 \u0631\u0627 \u0628\u0631\u0627\u06cc TensorFlow \u0648 numpy \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0647\u06cc\u062f. \u0628\u06af\u0630\u0627\u0631\u06cc\u062f \u062f\u0648 \u0645\u0648\u0631\u062f \u0645\u062a\u063a\u06cc\u0631 \u0634\u0645\u0627\u0631\u0647 \u06af\u06cc\u0631\u06cc \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u062e\u062a\u06af\u06cc \u0648 \u0648\u0632\u0646 \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644 \u0645\u0627 \u0639\u0645\u0644 \u06a9\u0646\u0646\u062f:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">random_data = np.random.uniform(0,100,(5,5))\nrandom_weights = np.random.uniform(0,100,(5,1))print(random_data)[[77.77024106 23.754122 82.42785327 96.5749198 97.26011139]\n[\u06f4\u06f5\u066b\u06f3\u06f4\u06f4\u06f9\u06f2\u06f4\u06f7\u06f4 \u06f6\u06f0\u066b\u06f9\u06f0\u06f4\u06f2\u06f4\u06f6\u06f2\u06f8 \u06f7\u06f7\u066b\u06f5\u06f5\u06f2\u06f6\u06f5\u06f1\u06f4\u06f6 \u06f6\u06f4\u066b\u06f1\u06f6\u06f1\u06f3\u06f3\u06f4\u06f4\u06f8 \u06f7\u06f2\u066b\u06f2\u06f0\u06f1\u06f8\u06f2\u06f2\u06f9\u06f5]\n[ \u06f3\u066b\u06f5\u06f0\u06f3\u06f6\u06f5\u06f2\u06f4\u06f1 \u06f2\u06f9\u066b\u06f8\u06f4\u06f4\u06f9\u06f4\u06f7\u06f0\u06f9 \u06f5\u066b\u06f8\u06f5\u06f1\u06f2\u06f4\u06f9\u06f1\u06f9 \u06f8\u06f5\u066b\u06f7\u06f0\u06f6\u06f0\u06f9\u06f4\u06f2\u06f6 \u06f3\u06f7\u066b\u06f2\u06f8\u06f5\u06f4\u06f0\u06f2\u06f7\u06f9]\n[\u06f6\u06f7\u066b\u06f9\u06f8\u06f4\u06f7\u06f9\u06f5\u06f1\u06f6 \u06f2\u06f5\u066b\u06f6\u06f2\u06f7\u06f9\u06f9\u06f4\u06f9\u06f3 \u06f3\u06f4\u066b\u06f7\u06f5\u06f8\u06f1\u06f2\u06f1\u06f5\u06f2 \u06f0\u066b\u06f9\u06f4\u06f1\u06f2\u06f7\u06f7\u06f0\u06f1 \u06f3\u06f5\u066b\u06f8\u06f3\u06f3\u06f3\u06f7\u06f8\u06f2\u06f7]\n[\u06f9\u06f4\u066b\u06f9\u06f0\u06f9\u06f4\u06f1\u06f8\u06f1\u06f7 \u06f2\u06f1\u066b\u06f7\u06f8\u06f9\u06f9\u06f0\u06f0\u06f9\u06f1 \u06f3\u06f1\u066b\u06f9\u06f3\u06f9\u06f1\u06f3\u06f6\u06f6\u06f4 \u06f9\u06f1\u066b\u06f7\u06f7\u06f7\u06f2\u06f3\u06f8\u06f6 \u06f3\u066b\u06f1\u06f9\u06f0\u06f3\u06f6\u06f6\u06f6\u06f4]]print(random_weights)[[ 6.5084537 ]\n[\u06f6\u06f2\u066b\u06f9\u06f8\u06f2\u06f8\u06f9\u06f9\u06f9\u06f1]\n[\u06f8\u06f7\u066b\u06f3\u06f8\u06f1\u06f3\u06f4\u06f4\u06f3\u06f3]\n[ \u06f0\u066b\u06f8\u06f7\u06f1\u06f5\u06f7\u06f3\u06f2\u06f3]\n[\u06f7\u06f4\u066b\u06f6\u06f5\u06f7\u06f7\u06f2\u06f3\u06f7 ]]<\/pre>\n<p style=\"text-align: justify;\">\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u062f\u0633\u062a\u0648\u0631 print \u0639\u0645\u0644 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0627\u06cc\u0646 \u0634\u06cc\u0626 \u0647\u0627 \u0627\u0632 \u0646\u0648\u0639 \u0634\u0645\u0627\u0631\u0647 \u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 (numpy)\u00a0 \u0628\u0648\u062f\u0647 \u0648 \u0627\u0632 \u0646\u0648\u0639 \u0634\u06cc Tensor \u0646\u06cc\u0633\u062a\u0646\u062f. \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0633\u0646\u062a\u06cc\u060c \u0648\u0632\u0646 \u0647\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0648 \u0627\u0632 \u0637\u0631\u06cc\u0642 theoptimizer \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u0636\u0645\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u062e\u0637\u0627 \u0631\u0627 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0647\u0632\u06cc\u0646\u0647 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc \u0631\u0633\u0627\u0646\u062f. \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0628\u0639\u062f\u06cc \u0645\u0637\u0644\u0628 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0622\u0646 \u0631\u0627 \u0646\u06cc\u0632 \u067e\u0648\u0634\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.<\/p>\n<p style=\"text-align: justify;\">\u0627\u06a9\u0646\u0648\u0646 placeholder \u0647\u0627 \u0648 \u0639\u0645\u0644\u06cc\u0627\u062a\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc session \u0646\u06af\u0647 \u0645\u06cc \u062f\u0627\u0631\u0646\u062f\u060c \u06a9\u062f \u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">a = tf.placeholder(tf.float32)\nb = tf.placeholder(tf.float32)add_operation = a + b\nmultiply_operation = a * b<\/pre>\n<p>\u062e\u0648\u0634\u0628\u062e\u062a\u0627\u0646\u0647 TensorFlow \u0639\u0645\u0644\u06cc\u0627\u062a \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0631\u0627 \u0641\u0642\u0637 \u0628\u0627 \u0639\u0645\u0644\u06af\u0631 \u0647\u0627\u06cc + \u060c &#8211; \u060c * \u0648 \/ \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">with tf.Session() as sess:\nadd_result = sess.run(add_operation,\nfeed_dict= {a:random_data,\nb:random_weights})\nmult_result = sess.run(multiply_operation,\nfeed_dict= {a:random_data,\nb:random_weights}) print(add_result)\nprint('\\n')\nprint(mult_result.round())[[ 84.278694 30.262575 88.93631 103.083374 103.76856 ]\n[\u06f1\u06f0\u06f8\u066b\u06f3\u06f2\u06f7\u06f8\u06f2 \u06f1\u06f2\u06f3\u066b\u06f8\u06f8\u06f7\u06f1\u06f4\u06f6 \u06f1\u06f4\u06f0\u066b\u06f5\u06f3\u06f5\u06f5\u06f5 \u06f1\u06f2\u06f7\u066b\u06f1\u06f4\u06f4\u06f2\u06f2\u06f6 \u06f1\u06f3\u06f5\u066b\u06f1\u06f8\u06f4\u06f7\u06f2 ]\n[ \u06f9\u06f0\u066b\u06f8\u06f8\u06f5 \u06f1\u06f1\u06f7\u066b\u06f2\u06f2\u06f6\u06f2\u06f9\u06f5 \u06f9\u06f3\u066b\u06f2\u06f3\u06f2\u06f6 \u06f1\u06f7\u06f3\u066b\u06f0\u06f8\u06f7\u06f4\u06f3 \u06f1\u06f2\u06f4\u066b\u06f6\u06f6\u06f6\u06f7\u06f5 ]\n[ \u06f6\u06f8\u066b\u06f8\u06f5\u06f6\u06f3\u06f7 \u06f2\u06f6\u066b\u06f4\u06f9\u06f9\u06f5\u06f6\u06f7 \u06f3\u06f5\u066b\u06f6\u06f2\u06f9\u06f6\u06f9\u06f6 \u06f1\u066b\u06f8\u06f1\u06f2\u06f8\u06f5\u06f0\u06f2 \u06f3\u06f6\u066b\u06f7\u06f0\u06f4\u06f9\u06f5\u06f2 ]\n[\u06f1\u06f6\u06f9\u066b\u06f5\u06f6\u06f7\u06f1\u06f4 \u06f9\u06f6\u066b\u06f4\u06f4\u06f7\u06f6\u06f2\u06f4 \u06f1\u06f0\u06f6\u066b\u06f5\u06f9\u06f6\u06f8\u06f6 \u06f1\u06f6\u06f6\u066b\u06f4\u06f3\u06f4\u06f9\u06f7 \u06f7\u06f7\u066b\u06f8\u06f4\u06f8\u06f0\u06f9 ]]\n\n\n[[\u06f5\u066b\u06f0\u06f6\u06f0e+02 1.550e+02 5.360e+02 6.290e+02 6.330e+02]\n[\u06f2\u066b\u06f8\u06f5\u06f6e+03 3.836e+03 4.884e+03 4.041e+03 4.547e+03]\n[\u06f3\u066b\u06f0\u06f6\u06f0e+02 2.608e+03 5.110e+02 7.489e+03 3.258e+03]\n[\u06f5\u066b\u06f9\u06f0\u06f0e+01 2.200e+01 3.000e+01 1.000e+00 3.100e+01]\n[\u06f7\u066b\u06f0\u06f8\u06f6e+03 1.627e+03 2.385e+03 6.852e+03 2.380e+02]]<\/pre>\n<p style=\"text-align: justify;\">\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0639\u0645\u0644\u06cc\u0627\u062a \u062c\u0645\u0639 \u0648 \u0636\u0631\u0628 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u0627\u062c\u0631\u0627\u060c \u0627\u0632 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f \u0632\u06cc\u0631\u0627 \u0645\u0627 \u0627\u0632 \u0647\u06cc\u0686 \u062a\u0627\u0628\u0639 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u0647\u0632\u06cc\u0646\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.<\/p>\n<p style=\"text-align: justify;\">\u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0628\u0639\u062f\u06cc\u060c \u0646\u062d\u0648\u0647 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u06a9\u0627\u0645\u0644 \u0627\u0632 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u062f\u0631 vanilla TensorFlow \u0631\u0627 \u0634\u0631\u062d \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.<\/p>\n<h4 style=\"text-align: justify;\"><strong>\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f:<\/strong><\/h4>\n\n<ul class=\"wp-block-latest-posts__list wp-block-latest-posts\"><li><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/shahaab-co.com\/mag\/news\/tesla-vision-ai-lane-detection\/\">\u062a\u0633\u0644\u0627 \u0648\u06cc\u0698\u0646 \u0686\u06cc\u0633\u062a \u0648 \u062e\u0648\u062f\u0631\u0648\u0647\u0627\u06cc \u062a\u0633\u0644\u0627 \u0686\u06af\u0648\u0646\u0647 \u062e\u0637\u0648\u0637 \u062c\u0627\u062f\u0647 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f\u061f<\/a><\/li>\n<li><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/shahaab-co.com\/mag\/news\/offline-ai-for-mobile\/\">\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u0641\u0644\u0627\u06cc\u0646 \u0628\u0631\u0627\u06cc \u06af\u0648\u0634\u06cc<\/a><\/li>\n<li><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/shahaab-co.com\/mag\/news\/which-ai-is-working-now\/\">\u06a9\u062f\u0627\u0645 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0644\u0627\u0646 \u06a9\u0627\u0631 \u0645\u06cc\u06a9\u0646\u0647\u061f<\/a><\/li>\n<li><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/shahaab-co.com\/mag\/news\/how-to-find-hidden-spy-cameras-in-hotels\/\">\u062f\u0648\u0631\u0628\u06cc\u0646 \u0647\u0627\u06cc \u062c\u0627\u0633\u0648\u0633\u06cc \u062f\u0631 \u0647\u062a\u0644 \u0647\u0627! \u0686\u06af\u0648\u0646\u0647 \u067e\u06cc\u062f\u0627\u06cc\u0634\u0627\u0646 \u06a9\u0646\u06cc\u0645\u061f<\/a><\/li>\n<li><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/shahaab-co.com\/mag\/news\/how-autonomous-vehicles-see-surroundings\/\">\u062e\u0648\u062f\u0631\u0648\u0647\u0627\u06cc \u0628\u062f\u0648\u0646 \u0633\u0631\u0646\u0634\u06cc\u0646 \u0686\u06af\u0648\u0646\u0647 \u0645\u062d\u06cc\u0637 \u0627\u0637\u0631\u0627\u0641 \u0631\u0627 \u0645\u06cc \u0628\u06cc\u0646\u0646\u062f\u061f<\/a><\/li>\n<\/ul>\n\n<a href=\"#\" class=\"shortc-button small blue \">\u0645\u0646\u0628\u0639<\/a> <a href=\"http:\/\/https:\/\/medium.com\/analytics-vidhya\/getting-started-with-tensorflow-the-easy-way-part-2-30e83830bd25\" target=\"_blank\" class=\"shortc-button small gray \">medium.com<\/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;4792&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;\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u062f\u0648\u0645)&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>\u0627\u06cc\u0646 \u0645\u0637\u0644\u0628 \u0628\u062e\u0634 \u062f\u0648\u0645 \u0627\u0632 \u0633\u0631\u06cc \u0645\u0642\u0627\u0644\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0686\u06af\u0648\u0646\u06af\u06cc \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 TensorFlow \u0645\u06cc \u0628\u0627\u0634\u062f \u06a9\u0647 \u0628\u0647 \u0645\u0648\u0636\u0648\u0639 \u0645\u062a\u063a\u06cc\u0631 \u0647\u0627 \u062f\u0631 Tensorflow \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u062f. \u0645\u0642\u0627\u0644\u0647 \u0645\u0631\u062a\u0628\u0637 : \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0627\u0648\u0644) \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0633\u0648\u0645) \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc TensorFlow \u0628\u0647 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 (\u0628\u062e\u0634 \u0686\u0647\u0627\u0631\u0645) \u0628\u0627 \u0648\u062c\u0648\u062f \u0641\u0631\u0627\u06af\u06cc\u0631 \u0634\u062f\u0646 &hellip;<\/p>\n","protected":false},"author":11,"featured_media":4856,"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":[18],"tags":[96,84,147,82],"class_list":["post-4792","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-edu","tag-jupyter-notebook","tag-84","tag-147","tag-82"],"_links":{"self":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/4792","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\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/comments?post=4792"}],"version-history":[{"count":0,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/posts\/4792\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media\/4856"}],"wp:attachment":[{"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/media?parent=4792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/categories?post=4792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shahaab-co.com\/mag\/wp-json\/wp\/v2\/tags?post=4792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}