{"id":382,"date":"2021-10-16T18:12:22","date_gmt":"2021-10-16T18:12:22","guid":{"rendered":"https:\/\/carson.fenimorefamily.com\/?p=382"},"modified":"2021-10-16T18:12:23","modified_gmt":"2021-10-16T18:12:23","slug":"good-readings-for-convolution-neural-networks-cnns","status":"publish","type":"post","link":"https:\/\/carson.fenimorefamily.com\/?p=382","title":{"rendered":"Good Readings for Convolution Neural Networks (CNN)s"},"content":{"rendered":"\n<p><a href=\"https:\/\/brohrer.github.io\/how_convolutional_neural_networks_work.html\">https:\/\/brohrer.github.io\/how_convolutional_neural_networks_work.html<\/a> &#8211; This page did a good job of breaking down the individual operations that are common to all CNNs &#8211; ReLU, pooling, convolution, etc.  After reading the article you can basically implement your own CNN &#8211; but without a lot of the advanced improvements that have made them faster and more powerful. <\/p>\n\n\n\n<p><a href=\"https:\/\/towardsdatascience.com\/review-yolov3-you-only-look-once-object-detection-eab75d7a1ba6\">https:\/\/towardsdatascience.com\/review-yolov3-you-only-look-once-object-detection-eab75d7a1ba6<\/a> has lots of reviews of algorithms<\/p>\n\n\n\n<p>Dive into deep learning &#8211; a free book: <a href=\"http:\/\/d2l.ai\">http:\/\/d2l.ai<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/brohrer.github.io\/how_convolutional_neural_networks_work.html &#8211; This page did a good job of breaking down the individual operations that are common to all CNNs &#8211; ReLU, pooling, convolution, etc. After reading the article you can basically implement your own CNN &#8211; but without a lot of the advanced improvements that have made them faster and more powerful. https:\/\/towardsdatascience.com\/review-yolov3-you-only-look-once-object-detection-eab75d7a1ba6 has &hellip; <a href=\"https:\/\/carson.fenimorefamily.com\/?p=382\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Good Readings for Convolution Neural Networks (CNN)s<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-382","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/posts\/382","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=382"}],"version-history":[{"count":3,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/posts\/382\/revisions"}],"predecessor-version":[{"id":536,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=\/wp\/v2\/posts\/382\/revisions\/536"}],"wp:attachment":[{"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carson.fenimorefamily.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}