{"version":"1.0","provider_name":"Glosarix","provider_url":"https:\/\/glosarix.com\/en\/","author_name":"Team Glosarix","author_url":"https:\/\/glosarix.com\/en\/author\/adm_glosarix\/","title":"Gradient Flow - Glosarix","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"1vq79t3E3U\"><a href=\"https:\/\/glosarix.com\/en\/glossary\/gradient-flow-en\/\">Gradient Flow<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/glosarix.com\/en\/glossary\/gradient-flow-en\/embed\/#?secret=1vq79t3E3U\" width=\"600\" height=\"338\" title=\"&#8220;Gradient Flow&#8221; &#8212; Glosarix\" data-secret=\"1vq79t3E3U\" 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:\/\/glosarix.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Description: Gradient flow is a fundamental method in training neural networks, based on the propagation of gradients through the network to update the weights of its neurons. This process is carried out by calculating the gradient of the loss function with respect to the weights, using the chain rule of differential calculus. Through this approach, [&hellip;]"}