Deep Learning GAN Using PyTorch, Challenges of Generative Models

1.0라이브스마트https://atmokpo.com/wroothttps://atmokpo.com/w/author/root/Deep Learning GAN Using PyTorch, Challenges of Generative Models - 라이브스마트rich600338<blockquote class="wp-embedded-content" data-secret="RzUZsTZrMT"><a href="https://atmokpo.com/w/36377/">Deep Learning GAN Using PyTorch, Challenges of Generative Models</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://atmokpo.com/w/36377/embed/#?secret=RzUZsTZrMT" width="600" height="338" title="“Deep Learning GAN Using PyTorch, Challenges of Generative Models” — 라이브스마트" data-secret="RzUZsTZrMT" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://atmokpo.com/w/wp-includes/js/wp-embed.min.js </script> Generative Adversarial Network (GAN) is an innovative deep learning model proposed by Ian Goodfellow in 2014. GAN is used to generate new data samples and is actively utilized in various fields such as image generation, video generation, and speech synthesis. However, the training process of GAN faces several challenges. In this article, we will explain … 더 보기 ""