提交 f053c1a6 编写于 作者: G gangliao 提交者: GitHub

Fix Typo

上级 c79c5436
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</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>
<h1>PaddlePaddle</h1>
<h1>PArallel Distributed Deep LEarning</h1>
<p>An Easy-to-use, Efficient, Flexible and Scalable Deep Learning Platform</p>
<div>
<a class="quick-start" href="http://book.paddlepaddle.org/index.html" target="_blank">Quick Start</a>
</div>
......@@ -61,8 +61,8 @@
</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>
<h2><span>Diverse Application Scenarios</span></h2>
<p class="sub-title">Providing deep learning algorithms for 100+ products</p>
</div>
<div class="row">
<div>
......@@ -70,8 +70,8 @@
</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>
<h3>Computer Vision</h3>
<p>Using Convolutional Neural Networks (CNN) for image recognition and object detection</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/03.image_classification/index.html" target="_blank">Read more ></a>
</div>
......@@ -82,7 +82,7 @@
<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>
<p>Using Recurrent Neural Network (RNN) for sentiment analysis</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/06.understand_sentiment/index.html" target="_blank">Read more ></a>
</div>
......@@ -98,8 +98,8 @@
</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>
<h3>Recommender System</h3>
<p>Using Deep Learning on recommendation systems to help users find items</p>
<div>
<a role="button" class="view-more" href="http://book.paddlepaddle.org/05.recommender_system/index.html" target="_blank">Read more ></a>
</div>
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</section>
<section class="features">
<div class="row">
<h2><span>Technology and Service Advantages</span></h2>
<h2><span>Technical Features</span></h2>
</div>
<div class="row">
<div class="feature-desc">
......@@ -117,35 +117,35 @@
<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>
<p>Provides 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>
<p>Supports CNN, RNN and various variants and ease to configure complicated deep 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>
<p>Provides extremely optimized operations, memory recycling, network communication.</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>
<p>Ease to scale heterogeneous computing resource and storage to accelerate training process.</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>
<h2>PaddlePaddle</h2>
<p>An Easy-to-use, Efficient, Flexible and Scalable Deep Learning Platform</p>
<div>
<a role="button" class="quick-start" href="http://book.paddlepaddle.org/index.html" target="_blank">Quick Start</a>
</div>
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