{"id":230185,"date":"2022-05-16T17:55:58","date_gmt":"2022-05-16T09:55:58","guid":{"rendered":"https:\/\/magicalbits.net\/?p=230185"},"modified":"2022-05-16T17:55:58","modified_gmt":"2022-05-16T09:55:58","slug":"article-from-mobilenet-to-efficientnet","status":"publish","type":"post","link":"https:\/\/magicalbits.net\/?p=230185","title":{"rendered":"Article:\u00a0From MobileNet to EfficientNet"},"content":{"rendered":"<blockquote><p>In this article, I&#8217;m going to walk through the architectural implementations that led from the first MobileNet architecture to the state of the art EfficientNet architecture, with a bunch of improvements in between. The MobileNet architecture was aimed at reducing the computational requirements for large neural networks without a large drop in performance on the classification task. This was with the particular goal of deploying the networks on edge devices, like mobile phones. After several years of iterat<\/p><\/blockquote>\n<p>Source: <em><a href=\"https:\/\/ttumiel.github.io\/blog\/mobilenet-to-efficientnet\/\">ttumiel<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this article, I&#8217;m going to walk through the architectural implementations that led from the first MobileNet architecture to the state of the art EfficientNet architecture, with a bunch of improvements in between. The MobileNet architecture was aimed at reducing the computational requirements for large neural networks without a large drop in performance on the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-230185","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"jetpack_featured_media_url":"","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/posts\/230185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/magicalbits.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=230185"}],"version-history":[{"count":1,"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/posts\/230185\/revisions"}],"predecessor-version":[{"id":230186,"href":"https:\/\/magicalbits.net\/index.php?rest_route=\/wp\/v2\/posts\/230185\/revisions\/230186"}],"wp:attachment":[{"href":"https:\/\/magicalbits.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=230185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/magicalbits.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=230185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/magicalbits.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=230185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}