
{"id":204203,"date":"2025-09-17T09:26:15","date_gmt":"2025-09-17T09:26:15","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86%d8%8c-%d9%88%db%8c%d8%b1%d8%a7%db%8c%d8%b4-%d8%af%d9%88\/"},"modified":"2025-09-17T09:26:19","modified_gmt":"2025-09-17T09:26:19","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86%d8%8c-%d9%88%db%8c%d8%b1%d8%a7%db%8c%d8%b4-%d8%af%d9%88","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d8%a8%d8%a7-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86%d8%8c-%d9%88%db%8c%d8%b1%d8%a7%db%8c%d8%b4-%d8%af%d9%88\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646\u060c \u0648\u06cc\u0631\u0627\u06cc\u0634 \u062f\u0648\u0645 (\u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc)"},"content":{"rendered":"<div style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2025\/09\/0554b6cb75c841bdbbf552cf5edfd6760319bd83a70717c1ecc999157d2b6fe7.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Deep Learning With Python \u060c Edition 2 (\u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc)\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Deep Learning With Python \u060c Edition 2 (\u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc)\"><\/p>\n<\/div>\n<table class=\"table table-striped table-hover\">\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/h3>\n<\/td>\n<td>\n<h3>Deep Learning With Python \u060c Edition 2 (\u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc)<\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631 \u06a9\u062a\u0627\u0628<\/td>\n<td>2021<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646<\/td>\n<td>\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Manning Publications<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>504<\/td>\n<\/tr>\n<tr>\n<td>ISBN10<\/td>\n<td>1617296864<\/td>\n<\/tr>\n<tr>\n<td>ISBN13<\/td>\n<td>9781617296864<\/td>\n<\/tr>\n<tr>\n<td>\u062d\u062c\u0645 \u0648 \u0641\u0631\u0645\u062a \u0641\u0627\u06cc\u0644<\/td>\n<td>PDF | PDF, 14.43 MB<\/td>\n<\/tr>\n<tr>\n<td>\u0648\u06cc\u0631\u0627\u06cc\u0634<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646<\/td>\n<td>Francois Chollet<\/td>\n<\/tr>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction:ltr\">Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.In Deep Learning with Python, Second Edition you will learn:\u2022 Deep learning from first principles\u2022 Image classification and image segmentation\u2022 Timeseries forecasting\u2022 Text classification and machine translation\u2022 Text generation, neural style transfer, and image generationDeep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You\u2019ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks.About the technologyRecent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach\u2014even if you have no background in mathematics or data science. This book shows you how to get started.About the bookDeep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator Fran\u00e7ois Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you\u2019ll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You\u2019ll quickly pick up the skills you need to start developing deep-learning applications.What&#8217;s inside\u2022 Deep learning from first principles\u2022 Image classification and image segmentation\u2022 Time series forecasting\u2022 Text classification and machine translation\u2022 Text generation, neural style transfer, and image generationAbout the readerFor readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.About the authorFran\u00e7ois Chollet is a software engineer at Google and creator of the Keras deep-learning library.<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627\u06cc \u067e\u06cc\u0634\u06af\u0627\u0645\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u0627\u06cc\u0646 \u0646\u0633\u062e\u0647 \u062c\u062f\u06cc\u062f \u062a\u062c\u062f\u06cc\u062f \u0646\u0638\u0631 \u0634\u062f\u0647 \u0627\u0632 \u067e\u0631\u0641\u0631\u0648\u0634 \u0627\u0635\u0644\u06cc \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f.Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.In Deep Learning with Python, Second Edition you will learn:\u2022 Deep learning from first principles\u2022 Image classification and image segmentation\u2022 Timeseries forecasting\u2022 Text classification and machine translation\u2022 Text generation, neural style transfer, and image generationDeep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into\u0639\u0645\u0644\u0627\u06cc\u0646 \u0646\u0633\u062e\u0647 \u062f\u0648\u0645 \u0628\u0647 \u0637\u0648\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u0635\u0644\u0627\u062d \u0634\u062f\u0647 \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06a9\u0631\u0648\u0633 \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0631\u0627\u06cc \u067e\u0632\u0634\u06a9\u0627\u0646 \u062a\u0627\u0632\u0647 \u06a9\u0627\u0631 \u0648 \u0628\u0627 \u062a\u062c\u0631\u0628\u0647 ML \u0628\u0627 \u0628\u06cc\u0646\u0634 \u0647\u0627\u06cc\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u06cc \u0634\u0648\u062f.\u0634\u0645\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0633\u062a \u060c \u0648 \u0646\u0638\u0631\u06cc\u0647 \u0645\u0647\u0645\u06cc \u0628\u0631\u0627\u06cc \u062a\u06a9\u0645\u06cc\u0644 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0645\u0648\u062e\u062a.\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0647 \u0633\u0631\u0639\u062a \u062f\u0631 \u062d\u0627\u0644 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u062f\u0627\u0646\u0634 \u0627\u0633\u0627\u0633\u06cc \u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u0647 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0627\u0633\u062a \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u0645\u0627\u0646\u0646\u062f Keras \u0648 Tensorflow \u0622\u0646 \u0631\u0627 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0634\u0645\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f &#8211; \u062d\u062a\u06cc \u0627\u06af\u0631 \u0633\u0627\u0628\u0642\u0647 \u0627\u06cc \u062f\u0631 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u06cc\u0627 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f. \u062f\u0631 \u0645\u0648\u0631\u062f Learning BookDeep \u0628\u0627 Python \u060c \u0646\u0633\u062e\u0647 \u062f\u0648\u0645 \u0632\u0645\u06cc\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0642\u062f\u0631\u062a\u0645\u0646\u062f Keras \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u062f.\u062f\u0631 \u0627\u06cc\u0646 \u0646\u0633\u062e\u0647 \u062c\u062f\u06cc\u062f \u0627\u0635\u0644\u0627\u062d \u0634\u062f\u0647 \u0648 \u06af\u0633\u062a\u0631\u0634 \u06cc\u0627\u0641\u062a\u0647 \u060c Fran\u00e7ois Chollet \u060c \u062e\u0627\u0644\u0642 Keras \u060c \u0628\u06cc\u0646\u0634 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u0632\u0634\u06a9\u0627\u0646 \u062a\u0627\u0632\u0647 \u06a9\u0627\u0631 \u0648 \u0628\u0627 \u062a\u062c\u0631\u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062d\u0631\u06a9\u062a \u0645\u06cc \u06a9\u0646\u06cc\u062f \u060c \u062f\u0631\u06a9 \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0635\u0631\u06cc \u060c \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648\u0627\u0636\u062d \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0648\u0627\u0636\u062d \u0627\u06cc\u062c\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0634\u0645\u0627 \u0628\u0647 \u0633\u0631\u0639\u062a \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 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\u0627\u0646\u062a\u0642\u0627\u0644 \u0633\u0628\u06a9 \u0639\u0635\u0628\u06cc \u0648 \u062a\u0648\u0644\u06cc\u062f \u062a\u0635\u0648\u06cc\u0631 \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u067e\u06cc\u062a\u0648\u0646 \u0645\u06cc\u0627\u0646\u06cc.\u0647\u06cc\u0686 \u062a\u062c\u0631\u0628\u0647 \u0642\u0628\u0644\u06cc \u0628\u0627 Keras \u060c Tensorflow \u06cc\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a. \u062f\u0631 \u0645\u0648\u0631\u062f \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 Fran\u00e7ois Chollet \u06cc\u06a9 \u0645\u0647\u0646\u062f\u0633 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u062f\u0631 Google \u0648 \u062e\u0627\u0644\u0642 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 Keras \u0627\u0633\u062a.<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Deep Learning With Python \u060c Edition 2 (\u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc) \u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631 \u06a9\u062a\u0627\u0628 2021 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0646\u0627\u0634\u0631 [&hellip;]<\/p>\n","protected":false},"featured_media":204201,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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