{"version":"1.0","provider_name":"2023 Summit","provider_url":"https:\/\/embeddedvisionsummit.com\/2023","title":"Learning Compact DNN Models for Embedded Vision - 2023 Summit","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"0Hm9RJAiRw\"><a href=\"https:\/\/embeddedvisionsummit.com\/2023\/session\/learning-compact-dnn-models-for-embedded-vision\/\">Learning Compact DNN Models for Embedded Vision<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/embeddedvisionsummit.com\/2023\/session\/learning-compact-dnn-models-for-embedded-vision\/embed\/#?secret=0Hm9RJAiRw\" width=\"600\" height=\"338\" title=\"&#8220;Learning Compact DNN Models for Embedded Vision&#8221; &#8212; 2023 Summit\" data-secret=\"0Hm9RJAiRw\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/embeddedvisionsummit.com\/2023\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/embeddedvisionsummit.com\/2023\/wp-content\/uploads\/sites\/11\/2023\/04\/BhattacharyyaS_SpeakerCard.jpg","thumbnail_width":1200,"thumbnail_height":630,"description":"In this talk, we will explore methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that we focus on\u2014from large to compact DNN form\u2014is referred to as pruning. Pruning involves the removal of [&hellip;]"}