{"version":"1.0","provider_name":"Archy de Berker","provider_url":"https:\/\/deberker.com\/archy","author_name":"archy","author_url":"https:\/\/deberker.com\/archy\/author\/archy\/","title":"Predicting the performance of deep learning models - Archy de Berker","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"QLSYSnO01Z\"><a href=\"https:\/\/deberker.com\/archy\/predicting-the-performance-of-deep-learning-models\/\">Predicting the performance of deep learning models<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/deberker.com\/archy\/predicting-the-performance-of-deep-learning-models\/embed\/#?secret=QLSYSnO01Z\" width=\"600\" height=\"338\" title=\"&#8220;Predicting the performance of deep learning models&#8221; &#8212; Archy de Berker\" data-secret=\"QLSYSnO01Z\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/deberker.com\/archy\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/i0.wp.com\/deberker.com\/archy\/wp-content\/uploads\/2019\/04\/1024px-A_view_of_the_server_room_at_The_National_Archives-e1556482059949.jpg?fit=1023%2C401&ssl=1","thumbnail_width":1023,"thumbnail_height":401,"description":"It&#8217;s widely acknowledged that the recent successes of Deep Learning rest heavily upon the availability of huge amounts of data. Vision was the first domain in which the promise of DL was realised, probably because of the availability of large datasets such as ImageNet. The recent surge of simulators for RL\u00a0further illustrates that as we [&hellip;]"}