{"id":16421,"date":"2016-08-09T09:53:48","date_gmt":"2016-08-09T14:53:48","guid":{"rendered":"http:\/\/bucktownbell.com\/?p=16421"},"modified":"2016-08-09T09:53:48","modified_gmt":"2016-08-09T14:53:48","slug":"image-kernels-explained-visually","status":"publish","type":"post","link":"http:\/\/bucktownbell.com\/?p=16421","title":{"rendered":"Image Kernels explained visually"},"content":{"rendered":"<blockquote><p>An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They&#8217;re also used in machine learning for &#8216;feature extraction&#8217;, a technique for determining the most important portions of an image. In this context the process is referred to more generally as &#8220;convolution&#8221; (see: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Convolutional_neural_network\">convolutional neural networks<\/a>.)<\/p><\/blockquote>\n<p>Source: <em><a href=\"http:\/\/setosa.io\/ev\/image-kernels\/\">Image Kernels explained visually<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They&#8217;re also used in machine learning for &#8216;feature extraction&#8217;, a technique for &hellip; <a href=\"http:\/\/bucktownbell.com\/?p=16421\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[670,1354,180,494],"class_list":["post-16421","post","type-post","status-publish","format-standard","hentry","category-stem","tag-algorithms","tag-image-processing","tag-math","tag-tutorial"],"_links":{"self":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts\/16421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16421"}],"version-history":[{"count":1,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts\/16421\/revisions"}],"predecessor-version":[{"id":16422,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=\/wp\/v2\/posts\/16421\/revisions\/16422"}],"wp:attachment":[{"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16421"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bucktownbell.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}