{"version":"1.0","provider_name":"Blog - Silicon Cloud","provider_url":"https:\/\/www.silicloud.com\/blog","author_name":"Emily Johnson","author_url":"https:\/\/www.silicloud.com\/blog\/author\/emilyjohnson\/","title":"How can dropout alleviate the issue of overfitting?","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"SKl3KHLl7A\"><a href=\"https:\/\/www.silicloud.com\/blog\/how-can-dropout-alleviate-the-issue-of-overfitting\/\">How can dropout alleviate the issue of overfitting?<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.silicloud.com\/blog\/how-can-dropout-alleviate-the-issue-of-overfitting\/embed\/#?secret=SKl3KHLl7A\" width=\"600\" height=\"338\" title=\"&#8220;How can dropout alleviate the issue of overfitting?&#8221; &#8212; Blog - Silicon Cloud\" data-secret=\"SKl3KHLl7A\" 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:\/\/www.silicloud.com\/blog\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"There are several methods to alleviate overfitting issues. Adding more data to the dataset can effectively reduce overfitting. Increasing the amount of data means the model can learn from more samples, decreasing the overfitting to specific training examples. Data augmentation involves applying a series of transformations and expansions to the original data in order to [&hellip;]"}