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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<title>mantch的博客</title>
<meta name="HandheldFriendly" content="True" />
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<!-- meta -->
<!-- link -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/fancyapps/[email protected]/dist/jquery.fancybox.min.css" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/waves.min.css">
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css">
<link rel="shortcut icon" type='image/x-icon' href="https://gitee.com/kkweishe/images/raw/master/ML/2019-12-24_15-43-44.png">
<link rel="stylesheet" href="/style.css">
<script>
function setLoadingBarProgress(num) {
document.getElementById('loading-bar').style.width=num+"%";
}
</script>
<meta name="generator" content="Hexo 4.2.0"></head>
<body>
<div class="cover-wrapper">
<cover class='cover half'>
<h1 class='title'>mantch</h1>
<div class="m_search">
<form name="searchform" class="form u-search-form">
<input type="text" class="input u-search-input" placeholder="" />
<i class="icon fas fa-search fa-fw"></i>
</form>
</div>
<div class='menu navgation'>
<ul class='h-list'>
<li>
<a class="nav home" href="/"
id="home">
<i class='fas fa-rss fa-fw'></i> 博文
</a>
</li>
<li>
<a class="nav home" href="/categories/"
id="categories">
<i class='fas fa-folder-open fa-fw'></i> 分类
</a>
</li>
<li>
<a class="nav home" href="/projects/mantch/"
id="projectsmantch">
<i class='fas fa-code-branch fa-fw'></i> 汇总&资源
</a>
</li>
<li>
<a class="nav home" href="/about/mantch/"
rel="nofollow"
id="aboutmantch">
<i class='fas fa-info-circle fa-fw'></i> 关于
</a>
</li>
</ul>
</div>
</cover>
<header class="l_header pure">
<div id="loading-bar-wrapper">
<div id="loading-bar" class="pure"></div>
</div>
<div class='wrapper'>
<div class="nav-main container container--flex">
<a class="logo flat-box" href='/' >
mantch的博客
</a>
<div class='menu navgation'>
<ul class='h-list'>
<li>
<a class="nav flat-box" href="/categories/"
rel="nofollow"
id="categories">
<i class='fas fa-folder-open fa-fw'></i> 分类
</a>
</li>
<li>
<a class="nav flat-box" href="/tags/"
rel="nofollow"
id="tags">
<i class='fas fa-hashtag fa-fw'></i> 标签
</a>
</li>
<li>
<a class="nav flat-box" href="/archives/"
rel="nofollow"
id="archives">
<i class='fas fa-archive fa-fw'></i> 归档
</a>
</li>
</ul>
</div>
<div class="m_search">
<form name="searchform" class="form u-search-form">
<input type="text" class="input u-search-input" placeholder="搜索" />
<i class="icon fas fa-search fa-fw"></i>
</form>
</div>
<ul class='switcher h-list'>
<li class='s-search'><a class="fas fa-search fa-fw" href='javascript:void(0)'></a></li>
<li class='s-menu'><a class="fas fa-bars fa-fw" href='javascript:void(0)'></a></li>
</ul>
</div>
<div class='nav-sub container container--flex'>
<a class="logo flat-box"></a>
<ul class='switcher h-list'>
<li class='s-comment'><a class="flat-btn fas fa-comments fa-fw" href='javascript:void(0)'></a></li>
<li class='s-toc'><a class="flat-btn fas fa-list fa-fw" href='javascript:void(0)'></a></li>
</ul>
</div>
</div>
</header>
<aside class="menu-phone">
<header>
<nav class="menu navgation">
<ul>
<li>
<a class="nav flat-box" href="/"
id="home">
<i class='fas fa-clock fa-fw'></i> 近期文章
</a>
</li>
<li>
<a class="nav flat-box" href="/archives/"
rel="nofollow"
id="archives">
<i class='fas fa-archive fa-fw'></i> 文章归档
</a>
</li>
<li>
<a class="nav flat-box" href="/projects/mantch/"
id="projectsmantch">
<i class='fas fa-code-branch fa-fw'></i> 汇总&资源
</a>
</li>
<li>
<a class="nav flat-box" href="/friends/"
rel="nofollow"
id="friends">
<i class='fas fa-link fa-fw'></i> 我的友链
</a>
</li>
<li>
<a class="nav flat-box" href="https://xaoxuu.com/wiki/material-x/"
rel="nofollow"
id="https:xaoxuu.comwikimaterial-x">
<i class='fas fa-book fa-fw'></i> 主题文档
</a>
</li>
<li>
<a class="nav flat-box" href="/about/mantch/"
rel="nofollow"
id="aboutmantch">
<i class='fas fa-info-circle fa-fw'></i> 关于小站
</a>
</li>
</ul>
</nav>
</header>
</aside>
<script>setLoadingBarProgress(40);</script>
</div>
<div class="l_body">
<div class='body-wrapper'>
<div class='l_main'>
<section class="post-list">
<div class='post-wrapper'>
<article class="post reveal ">
<section class='meta'>
<div class="meta" id="header-meta">
<h2 class="title">
<a href="/2019/07/28/ML/project/">
汇总&资源
</a>
</h2>
<div class='new-meta-box'>
<div class='new-meta-item author'>
<a href="http://reverent-montalcini-17e4bf.netlify.com" rel="nofollow">
<img src="https://gitee.com/kkweishe/images/raw/master/ML/2019-12-24_15-51-11.png">
<p>mantch</p>
</a>
</div>
<div class="new-meta-item date">
<a class='notlink'>
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<p>2019-07-28</p>
</a>
</div>
<div class="new-meta-item wordcount">
<a class='notlink'>
<i class="fas fa-keyboard" aria-hidden="true"></i>
<p>字数统计:</p>
<p>466字</p>
</a>
</div>
<div class="new-meta-item readtime">
<a class='notlink'>
<i class="fas fa-hourglass-half" aria-hidden="true"></i>
<p>阅读时长≈</p>
<p>1分</p>
</a>
</div>
<div class="new-meta-item top-post">
<a class='notlink'>
<i class="fas fa-angle-double-up" aria-hidden="true"></i>
<p>置顶</p>
</a>
</div>
</div>
<hr>
</div>
</section>
<section class="article typo">
<div class="article-entry" itemprop="articleBody">
<div class="readmore">
<a href="/2019/07/28/ML/project/" class="flat-box">
<i class="fas fa-book-open fa-fw" aria-hidden="true"></i>
阅读全文
</a>
</div>
</div>
</section>
</article>
</div>
<div class='post-wrapper'>
<article class="post reveal ">
<section class='meta'>
<div class="meta" id="header-meta">
<h2 class="title">
<a href="/2019/09/30/NLP/Intelligent%20Customer%20Service/">
【NLP】智能客服
</a>
</h2>
<div class='new-meta-box'>
<div class='new-meta-item author'>
<a href="http://reverent-montalcini-17e4bf.netlify.com" rel="nofollow">
<img src="https://gitee.com/kkweishe/images/raw/master/ML/2019-12-24_15-51-11.png">
<p>mantch</p>
</a>
</div>
<div class="new-meta-item date">
<a class='notlink'>
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<p>2019-09-30</p>
</a>
</div>
<div class='new-meta-item category'>
<a href='/categories/NLP/' rel="nofollow">
<i class="fas fa-folder-open" aria-hidden="true"></i>
<p>NLP</p>
</a>
</div>
<div class="new-meta-item wordcount">
<a class='notlink'>
<i class="fas fa-keyboard" aria-hidden="true"></i>
<p>字数统计:</p>
<p>5.8k字</p>
</a>
</div>
<div class="new-meta-item readtime">
<a class='notlink'>
<i class="fas fa-hourglass-half" aria-hidden="true"></i>
<p>阅读时长≈</p>
<p>19分</p>
</a>
</div>
</div>
<hr>
</div>
</section>
<section class="article typo">
<div class="article-entry" itemprop="articleBody">
<p>我们就会产生一个想法：能不能有一个机器人来回答这些重复的问题，它能 24 小时的工作不用休息，降低客户成本，还能挖掘聊天记录里面的一些有价值的知识点。这就是智能客服产生的背景。</p>
<div class="readmore">
<a href="/2019/09/30/NLP/Intelligent%20Customer%20Service/" class="flat-box">
<i class="fas fa-book-open fa-fw" aria-hidden="true"></i>
阅读全文
</a>
</div>
</div>
</section>
</article>
</div>
<div class='post-wrapper'>
<article class="post reveal ">
<section class='meta'>
<div class="meta" id="header-meta">
<h2 class="title">
<a href="/2019/09/30/NLP/XLNet/">
【NLP】XLNet
</a>
</h2>
<div class='new-meta-box'>
<div class='new-meta-item author'>
<a href="http://reverent-montalcini-17e4bf.netlify.com" rel="nofollow">
<img src="https://gitee.com/kkweishe/images/raw/master/ML/2019-12-24_15-51-11.png">
<p>mantch</p>
</a>
</div>
<div class="new-meta-item date">
<a class='notlink'>
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<p>2019-09-30</p>
</a>
</div>
<div class='new-meta-item category'>
<a href='/categories/NLP/' rel="nofollow">
<i class="fas fa-folder-open" aria-hidden="true"></i>
<p>NLP</p>
</a>
</div>
<div class="new-meta-item wordcount">
<a class='notlink'>
<i class="fas fa-keyboard" aria-hidden="true"></i>
<p>字数统计:</p>
<p>4.7k字</p>
</a>
</div>
<div class="new-meta-item readtime">
<a class='notlink'>
<i class="fas fa-hourglass-half" aria-hidden="true"></i>
<p>阅读时长≈</p>
<p>16分</p>
</a>
</div>
</div>
<hr>
</div>
</section>
<section class="article typo">
<div class="article-entry" itemprop="articleBody">
<p>XLNet 是一个类似 BERT 的模型，而不是完全不同的模型。总之，XLNET是一种通用的自回归预训练方法。它是CMU和Google Brain团队在2019年6月份发布的模型，最终，XLNet 在 20 个任务上超过了 BERT 的表现，并在 18 个任务上取得了当前最佳效果（state-of…</p>
<div class="readmore">
<a href="/2019/09/30/NLP/XLNet/" class="flat-box">
<i class="fas fa-book-open fa-fw" aria-hidden="true"></i>
阅读全文
</a>
</div>
</div>
</section>
</article>
</div>
<div class='post-wrapper'>
<article class="post reveal ">
<section class='meta'>
<div class="meta" id="header-meta">
<h2 class="title">
<a href="/2019/09/28/NLP/BERT/">
【NLP】BERT
</a>
</h2>
<div class='new-meta-box'>
<div class='new-meta-item author'>
<a href="http://reverent-montalcini-17e4bf.netlify.com" rel="nofollow">
<img src="https://gitee.com/kkweishe/images/raw/master/ML/2019-12-24_15-51-11.png">
<p>mantch</p>
</a>
</div>
<div class="new-meta-item date">
<a class='notlink'>
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<p>2019-09-28</p>
</a>
</div>
<div class='new-meta-item category'>
<a href='/categories/NLP/' rel="nofollow">
<i class="fas fa-folder-open" aria-hidden="true"></i>
<p>NLP</p>
</a>
</div>
<div class="new-meta-item wordcount">
<a class='notlink'>
<i class="fas fa-keyboard" aria-hidden="true"></i>
<p>字数统计:</p>
<p>5.7k字</p>
</a>
</div>
<div class="new-meta-item readtime">
<a class='notlink'>
<i class="fas fa-hourglass-half" aria-hidden="true"></i>
<p>阅读时长≈</p>
<p>20分</p>
</a>
</div>
</div>
<hr>
</div>
</section>
<section class="article typo">
<div class="article-entry" itemprop="articleBody">
<p>BERT的全称是BIDIRECTIONAL ENCODER REPRESENTATION FROM TRANSFORMERS，是Google2018年提出的预训练模型，即双向Transformer的Encoder，因为decoder是不能获要预测的信息的。模型的主要创新点都在pre-train方法…</p>
<div class="readmore">
<a href="/2019/09/28/NLP/BERT/" class="flat-box">
<i class="fas fa-book-open fa-fw" aria-hidden="true"></i>
阅读全文
</a>
</div>
</div>
</section>
</article>
</div>
<div class='post-wrapper'>
<article class="post reveal ">
<section class='meta'>
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【NLP】Transformer
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<p>什么是Transformer 《Attention Is All You Need》是一篇Google提出的将Attention思想发挥到极致的论文。这篇论文中提出一个全新的模型，叫 Transformer，抛弃了以往深度学习任务里面使用到的 CNN 和 RNN。目前大热…</p>
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