1.0라이브스마트https://atmokpo.com/wroothttps://atmokpo.com/w/author/root/Deep Learning PyTorch Course, Implementing LSTM Layer - 라이브스마트rich600338<blockquote class="wp-embedded-content" data-secret="4IXkrvePvV"><a href="https://atmokpo.com/w/36451/">Deep Learning PyTorch Course, Implementing LSTM Layer</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://atmokpo.com/w/36451/embed/#?secret=4IXkrvePvV" width="600" height="338" title="“Deep Learning PyTorch Course, Implementing LSTM Layer” — 라이브스마트" data-secret="4IXkrvePvV" 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>
1. Introduction Deep learning is a field of machine learning that involves learning and predicting data through multilayer neural networks. In particular, recurrent neural networks (RNNs) are effective when dealing with time series data or sequential data. Among them, Long Short-Term Memory (LSTM) networks are a type of RNN that perform well on processing long … 더 보기 ""