Skip to content

P
Paddle

BaiXuePrincess / Paddle
与 Fork 源项目一致

Fork自 PaddlePaddle / Paddle

通知 1
Star 1
Fork 0
P
Paddle
提交 caddc5c6 编写于 作者: L llxxxll
浏览文件
操作

fix file

上级 2b1aa0d2
隐藏空白更改
内联 并排
Showing with 2 addition and 324 deletion
index.cn.html
浏览文件 @ caddc5c6
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>PaddlePaddle</title>
<link rel="stylesheet" href="./css/home.css">
<!-- Baidu Analystics -->
<script>
var _hmt = _hmt || [];
(function() {
var hm = document.createElement("script");
hm.src = "//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";
var s = document.getElementsByTagName("script")[0];
s.parentNode.insertBefore(hm, s);
})();
</script>
</head>
<body>
<header class="site-header">
<nav class="row">
<div class="logo">
<img src="./images/logo.png">
</div>
<nav class="top-nav">
<ul class="site-links">
<li><a class="active">主页</a></li>
<li><a href="http://book.paddlepaddle.org/index.cn.html" target="_blank">快速开始</a></li>
<li><a href="http://www.paddlepaddle.org/doc_cn/howto/index_cn.html" target="_blank">文档中心</a></li>
<li class="version-switcher">
<a>版本<i class="fa" aria-hidden="true"></i></a>
<ul>
<li><a href="http://www.paddlepaddle.org/release/0.10.0/doc_cn/" target="_blank">0.10.0</a></li>
<li><a href="http://www.paddlepaddle.org/release_doc/0.9.0/doc_cn/" target="_blank">0.9.0</a></li>
</ul>
</li>
</ul>
</nav>
<nav class="right-nav">
<div class="language-switcher">
<a href="./index.html">English</a>
</div>
<div class="github-fork">
<a href="https://github.com/PaddlePaddle/Paddle" target="_blank">
<i class="fa fa-github" aria-hidden="true"></i>
<span>Github</span>
</a>
</div>
</nav>
</nav>
</header>
<section class="head-banner">
<div class="row banner">
<h1>易学易用的分布式深度学习平台</h1>
<p>正在为100+项产品提供深度学习算法支持</p>
<div>
<a class="quick-start" href="http://book.paddlepaddle.org/index.cn.html" target="_blank">快速入门</a>
</div>
</div>
</section>
<section class="services">
<div class="row">
<h2><span>丰富的算法服务</span></h2>
<p class="sub-title">易用、高效、灵活、扩展性好</p>
</div>
<div class="row">
<div>
<img class="service-icon" src="./images/service-1.png">
</div>
<div>
<div class="service-desc">
<h3>机器视觉</h3>
<p>卷积神经网络可以识别图像中的主要对象,并输出分类结果</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/03.image_classification/index.cn.html" target="_blank">查看更多 ></a>
</div>
</div>
</div>
</div>
<div class="row">
<div>
<div class="service-desc">
<h3>自然语言理解</h3>
<p>利用LSTM网络从IMDB电影评论的中分析出评论者情绪的正面和负面</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/06.understand_sentiment/index.cn.html" target="_blank">查看更多 ></a>
</div>
</div>
</div>
<div>
<img class="service-icon" src="./images/service-2.png">
</div>
</div>
<div class="row">
<div>
<img class="service-icon" src="./images/service-3.png">
</div>
<div>
<div class="service-desc">
<h3>搜索引擎排序</h3>
<p>分析用户特征、电影特征、点评分数,预测新用户对不同电影的点评分数</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/05.recommender_system/index.cn.html" target="_blank">查看更多 ></a>
</div>
</div>
</div>
</div>
</section>
<section class="features">
<div class="row">
<h2><span>技术和服务优势</span></h2>
</div>
<div class="row">
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-1.png">
</div>
<h3>易用性</h3>
<p>为用户提供了直观、灵活的数据接口和模型配置接口</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-2.png">
</div>
<h3>灵活性</h3>
<p>支持CNN、RNN等多种神经网络结构和优化算法。简单书写配置文件即可实现复杂模型</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-3.png">
</div>
<h3>高效性</h3>
<p>在计算、存储、通信、架构等方面都做了高效优化，充分发挥各种资源的性能</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-4.png">
</div>
<h3>扩展性</h3>
<p>全面支持多核、多GPU、多机环境。轻松应对大规模数据训练需求</p>
</div>
</div>
</section>
<section class="get-started">
<div class="row">
<h2>现在开始使用PaddlePaddle</h2>
<p>易学易用的分布式深度学习平台</p>
<div>
<a role="button" class="quick-start" href="http://book.paddlepaddle.org/index.cn.html" target="_blank">快速入门</a>
</div>
</div>
</section>
<footer class="footer-nav">
<div class="row">
<div class="row">
<p class="copyright">&copy;Copyright&nbsp;2017,&nbsp;PaddlePaddle&nbsp;developers.</p>
</div>
</footer>
<script src="./js/common.bundle.js"></script>
<script src="./js/home.bundle.js"></script>
</body>
</html>
\ No newline at end of file
<!DOCTYPE html> <html lang=en> <head> <meta charset=UTF-8> <title>PaddlePaddle</title> <link rel=stylesheet href=./css/home.css> <script>var _hmt=_hmt||[];!function(){var e=document.createElement("script");e.src="//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(e,a)}()</script> </head> <body> <header class=site-header> <nav class=row> <div class=logo> <img src=data:image/png;base64,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> </div> <nav class=top-nav> <ul class=site-links> <li><a class=active>主页</a></li> <li><a href=http://book.paddlepaddle.org/index.cn.html target=_blank>快速开始</a></li> <li><a href=http://www.paddlepaddle.org/doc_cn/howto/index_cn.html target=_blank>文档中心</a></li> <li class=version-switcher> <a>版本<i class=fa aria-hidden=true></i></a> <ul> <li><a href=http://www.paddlepaddle.org/release/0.10.0/doc_cn/ target=_blank>0.10.0</a></li> <li><a href=http://www.paddlepaddle.org/release_doc/0.9.0/doc_cn/ target=_blank>0.9.0</a></li> </ul> </li> </ul> </nav> <nav class=right-nav> <div class=language-switcher> <a href=./index.html>English</a> </div> <div class=github-fork> <a href=https://github.com/PaddlePaddle/Paddle target=_blank> <i class="fa fa-github" aria-hidden=true></i> <span>Github</span> </a> </div> </nav> </nav> </header> <section class=head-banner> <div class="row banner"> <h1>易学易用的分布式深度学习平台</h1> <p>正在为100+项产品提供深度学习算法支持</p> <div> <a class=quick-start href=http://book.paddlepaddle.org/index.cn.html target=_blank>快速入门</a> </div> </div> </section> <section class=services> <div class=row> <h2><span>丰富的算法服务</span></h2> <p class=sub-title>易用、高效、灵活、扩展性好</p> </div> <div class=row> <div> <img class=service-icon src=./images/service-1.png> </div> <div> <div class=service-desc> <h3>机器视觉</h3> <p>卷积神经网络可以识别图像中的主要对象,并输出分类结果</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/03.image_classification/index.cn.html target=_blank>查看更多 ></a> </div> </div> </div> </div> <div class=row> <div> <div class=service-desc> <h3>自然语言理解</h3> <p>利用LSTM网络从IMDB电影评论的中分析出评论者情绪的正面和负面</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/06.understand_sentiment/index.cn.html target=_blank>查看更多 ></a> </div> </div> </div> <div> <img class=service-icon src=./images/service-2.png> </div> </div> <div class=row> <div> <img class=service-icon src=./images/service-3.png> </div> <div> <div class=service-desc> <h3>搜索引擎排序</h3> <p>分析用户特征、电影特征、点评分数,预测新用户对不同电影的点评分数</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/05.recommender_system/index.cn.html target=_blank>查看更多 ></a> </div> </div> </div> </div> </section> <section class=features> <div class=row> <h2><span>技术和服务优势</span></h2> </div> <div class=row> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>易用性</h3> <p>为用户提供了直观、灵活的数据接口和模型配置接口</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>灵活性</h3> <p>支持CNN、RNN等多种神经网络结构和优化算法。简单书写配置文件即可实现复杂模型</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>高效性</h3> <p>在计算、存储、通信、架构等方面都做了高效优化，充分发挥各种资源的性能</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>扩展性</h3> <p>全面支持多核、多GPU、多机环境。轻松应对大规模数据训练需求</p> </div> </div> </section> <section class=get-started> <div class=row> <h2>现在开始使用PaddlePaddle</h2> <p>易学易用的分布式深度学习平台</p> <div> <a role=button class=quick-start href=http://book.paddlepaddle.org/index.cn.html target=_blank>快速入门</a> </div> </div> </section> <footer class=footer-nav> <div class=row> <div class=row> <p class=copyright>&copy;Copyright&nbsp;2017,&nbsp;PaddlePaddle&nbsp;developers.</p> </div> </div></footer> <script src=./js/common.bundle.js></script> <script src=./js/home.bundle.js></script> </body> </html>
\ No newline at end of file
index.html
浏览文件 @ caddc5c6
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>PaddlePaddle</title>
<link rel="stylesheet" href="./css/home.css">
<!-- Baidu Analystics -->
<script>
var _hmt = _hmt || [];
(function() {
var hm = document.createElement("script");
hm.src = "//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";
var s = document.getElementsByTagName("script")[0];
s.parentNode.insertBefore(hm, s);
})();
</script>
</head>
<body>
<header class="site-header">
<nav class="row">
<div class="logo">
<img src="./images/logo.png">
</div>
<nav class="top-nav">
<ul class="site-links">
<li><a class="active">Home</a></li>
<li><a href="http://book.paddlepaddle.org/index.html" target="_blank">Quick Start</a></li>
<li><a href="http://www.paddlepaddle.org/doc/howto/index_en.html" target="_blank">Documents</a></li>
<li class="version-switcher">
<a>Version<i class="fa" aria-hidden="true"></i></a>
<ul>
<li><a href="http://www.paddlepaddle.org/release/0.10.0/doc/" target="_blank">0.10.0</a></li>
<li><a href="http://www.paddlepaddle.org/release_doc/0.9.0/doc/" target="_blank">0.9.0</a></li>
</ul>
</li>
</ul>
</nav>
<nav class="right-nav">
<div class="language-switcher">
<a href="./index.cn.html">中文</a>
</div>
<div class="github-fork">
<a href="https://github.com/PaddlePaddle/Paddle" target="_blank">
<i class="fa fa-github" aria-hidden="true"></i>
<span>Github</span>
</a>
</div>
</nav>
</nav>
</header>
<section class="head-banner">
<div class="row banner">
<h1>Easy to Learn and Use Distributed</h1>
<h1>Deep Learning Platform</h1>
<p>Providing deep learning algorithms for 100+ products</p>
<div>
<a class="quick-start" href="http://book.paddlepaddle.org/index.html" target="_blank">Quick Start</a>
</div>
</div>
</section>
<section class="services">
<div class="row">
<h2><span>Extensive Algorithmic Service</span></h2>
<p class="sub-title">Easy to use, efficient, flexible, and scalable</p>
</div>
<div class="row">
<div>
<img class="service-icon" src="./images/service-1.png">
</div>
<div>
<div class="service-desc">
<h3>Machine Vision</h3>
<p>The convoluted neural network can identify the main object in the image and output the classification result</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/03.image_classification/index.html" target="_blank">Read more ></a>
</div>
</div>
</div>
</div>
<div class="row">
<div>
<div class="service-desc">
<h3>Natural Language Understanding</h3>
<p>Using the LSTM network to analyze the positive and negative aspects of the commenter's emotions from IMDB film review</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/06.understand_sentiment/index.html" target="_blank">Read more ></a>
</div>
</div>
</div>
<div>
<img class="service-icon" src="./images/service-2.png">
</div>
</div>
<div class="row">
<div>
<img class="service-icon" src="./images/service-3.png">
</div>
<div>
<div class="service-desc">
<h3>Search Engine Ranking</h3>
<p>Analyze user characteristics, movie features, rating scores, predict new users' ratings for different movies</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/05.recommender_system/index.html" target="_blank">Read more ></a>
</div>
</div>
</div>
</div>
</section>
<section class="features">
<div class="row">
<h2><span>Technology and Service Advantages</span></h2>
</div>
<div class="row">
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-1.png">
</div>
<h3>Ease of use</h3>
<p>Provids an intuitive and flexible interface for loading data and specifying model structure.</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-2.png">
</div>
<h3>Flexibility</h3>
<p>Supports CNN, RNN and other neural network. Easy to configure complex models.</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-3.png">
</div>
<h3>Efficiency</h3>
<p>Efficient optimization of computing, memory, communications and architecture.</p>
</div>
<div class="feature-desc">
<div class="feature-icon">
<img src="./images/feature-4.png">
</div>
<h3>Scalability</h3>
<p>Easy to use many CPUs/GPUs and machines to speed up your training and handle large-scale data easily.</p>
</div>
</div>
</section>
<section class="get-started">
<div class="row">
<h2>Start Using PaddlePaddle</h2>
<p>Easy to Learn and Use Distributed Deep Learning Platform</p>
<div>
<a role="button" class="quick-start" href="http://book.paddlepaddle.org/index.html" target="_blank">Quick Start</a>
</div>
</div>
</section>
<footer class="footer-nav">
<div class="row">
<p class="copyright">&copy;Copyright&nbsp;2017,&nbsp;PaddlePaddle&nbsp;developers.</p>
</div>
</footer>
<script src="./js/common.bundle.js"></script>
<script src="./js/home.bundle.js"></script>
</body>
</html>
\ No newline at end of file
<!DOCTYPE html> <html lang=en> <head> <meta charset=UTF-8> <title>PaddlePaddle</title> <link rel=stylesheet href=./css/home.css> <script>var _hmt=_hmt||[];!function(){var e=document.createElement("script");e.src="//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(e,a)}()</script> </head> <body> <header class=site-header> <nav class=row> <div class=logo> <img src=data:image/png;base64,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> </div> <nav class=top-nav> <ul class=site-links> <li><a class=active>Home</a></li> <li><a href=http://book.paddlepaddle.org/index.html target=_blank>Quick Start</a></li> <li><a href=http://www.paddlepaddle.org/doc/howto/index_en.html target=_blank>Documents</a></li> <li class=version-switcher> <a>Version<i class=fa aria-hidden=true></i></a> <ul> <li><a href=http://www.paddlepaddle.org/release/0.10.0/doc/ target=_blank>0.10.0</a></li> <li><a href=http://www.paddlepaddle.org/release_doc/0.9.0/doc/ target=_blank>0.9.0</a></li> </ul> </li> </ul> </nav> <nav class=right-nav> <div class=language-switcher> <a href=./index.cn.html>中文</a> </div> <div class=github-fork> <a href=https://github.com/PaddlePaddle/Paddle target=_blank> <i class="fa fa-github" aria-hidden=true></i> <span>Github</span> </a> </div> </nav> </nav> </header> <section class=head-banner> <div class="row banner"> <h1>Easy to Learn and Use Distributed</h1> <h1>Deep Learning Platform</h1> <p>Providing deep learning algorithms for 100+ products</p> <div> <a class=quick-start href=http://book.paddlepaddle.org/index.html target=_blank>Quick Start</a> </div> </div> </section> <section class=services> <div class=row> <h2><span>Extensive Algorithmic Service</span></h2> <p class=sub-title>Easy to use, efficient, flexible, and scalable</p> </div> <div class=row> <div> <img class=service-icon src=./images/service-1.png> </div> <div> <div class=service-desc> <h3>Machine Vision</h3> <p>The convoluted neural network can identify the main object in the image and output the classification result</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/03.image_classification/index.html target=_blank>Read more ></a> </div> </div> </div> </div> <div class=row> <div> <div class=service-desc> <h3>Natural Language Understanding</h3> <p>Using the LSTM network to analyze the positive and negative aspects of the commenter's emotions from IMDB film review</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/06.understand_sentiment/index.html target=_blank>Read more ></a> </div> </div> </div> <div> <img class=service-icon src=./images/service-2.png> </div> </div> <div class=row> <div> <img class=service-icon src=./images/service-3.png> </div> <div> <div class=service-desc> <h3>Search Engine Ranking</h3> <p>Analyze user characteristics, movie features, rating scores, predict new users' ratings for different movies</p> <div> <a role=button class=view-more href=http://book.paddlepaddle.org/05.recommender_system/index.html target=_blank>Read more ></a> </div> </div> </div> </div> </section> <section class=features> <div class=row> <h2><span>Technology and Service Advantages</span></h2> </div> <div class=row> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>Ease of use</h3> <p>Provids an intuitive and flexible interface for loading data and specifying model structure.</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>Flexibility</h3> <p>Supports CNN, RNN and other neural network. Easy to configure complex models.</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>Efficiency</h3> <p>Efficient optimization of computing, memory, communications and architecture.</p> </div> <div class=feature-desc> <div class=feature-icon> <img src=data:image/png;base64,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> </div> <h3>Scalability</h3> <p>Easy to use many CPUs/GPUs and machines to speed up your training and handle large-scale data easily.</p> </div> </div> </section> <section class=get-started> <div class=row> <h2>Start Using PaddlePaddle</h2> <p>Easy to Learn and Use Distributed Deep Learning Platform</p> <div> <a role=button class=quick-start href=http://book.paddlepaddle.org/index.html target=_blank>Quick Start</a> </div> </div> </section> <footer class=footer-nav> <div class=row> <p class=copyright>&copy;Copyright&nbsp;2017,&nbsp;PaddlePaddle&nbsp;developers.</p> </div> </footer> <script src=./js/common.bundle.js></script> <script src=./js/home.bundle.js></script> </body> </html>
\ No newline at end of file
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或