{"id":8262,"date":"2024-01-19T11:48:45","date_gmt":"2024-01-19T16:48:45","guid":{"rendered":"https:\/\/www.clearobject.com\/?post_type=glossary&#038;p=8262"},"modified":"2024-01-19T11:48:45","modified_gmt":"2024-01-19T16:48:45","slug":"recurrent-neural-networks","status":"publish","type":"glossary","link":"https:\/\/www.clearobject.com\/?glossary=recurrent-neural-networks","title":{"rendered":"Recurrent Neural Networks"},"content":{"rendered":"<p><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Recurrent Neural Networks (RNNs)&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">Recurrent Neural Networks (RNNs) are a type of deep learning model that bakes in assumptions about the importance of the sequential nature of the input data. This is especially useful for time series and natural language data.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recurrent Neural Networks (RNNs) are a type of deep learning model that bakes in assumptions about the importance of the sequential nature of the input data. This is especially useful for time series and natural language data.<\/p>\n","protected":false},"author":11,"featured_media":0,"menu_order":0,"template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-8262","glossary","type-glossary","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Recurrent Neural Networks - Clear Object<\/title>\n<meta name=\"description\" content=\"RNNs connect the importance of the sequential nature of the input data. 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