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<!DOCTYPE html>
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    <title>PaddlePaddle ---- PArallel Distributed Deep LEarning</title>

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<body id="page-top">
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            <ul class="nav navbar-nav navbar-right">
                <li>
                    <a class="page-scroll" href="#what">What's PaddlePaddle</a>
                </li>
                <li>
                    <a class="page-scroll" href="#features">Features</a>
                </li>
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                    <a class="page-scroll" href="#portfolio">Portfolio</a>
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</nav>

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        <div class="header-content-inner">
            <h1>PaddlePaddle</h1>
            <hr>
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	    <p>Open and Easy-to-Use Deep Learning Platform for Enterprise and Research</p>
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	    <a href="http://paddlepaddle.org/doc/demo/quick_start/index_en.html" class="btn btn-primary btn-xl page-scroll">Quick Start</a>
	    <a href="http://paddlepaddle.org/doc/" class="btn btn-primary btn-xl page-scroll">Documentation</a>
	    <a href="https://github.com/baidu/paddle" class="btn btn-primary btn-xl page-scroll">Code</a>
        </div>
    </div>
</header>

  <section class="bg-primary" id="what">
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            <div class="col-lg-8 col-lg-offset-2 text-center">
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                <h2 class="section-heading">What's PaddlePadde</h2>
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                <hr class="light">
		<p class="text-faded">PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
		</p>
		<!--- <a href="#" class="btn btn-default btn-xl">Get Started!</a> -->
            </div>
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</section>
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  <section id="features">
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    <div class="container">
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            <div class="col-lg-12 text-center">
                <h2 class="section-heading">Supported Features</h2>
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                <div class="service-box">
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                    <h3>Ease of use</h3>
                    <p class="text-muted">PaddlePaddle is designed to be easy to use. It provides an intuitive and yet flexible interface for loading data and specifying model structure.</p>
                </div>
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                    <i class="fa fa-5x fa-puzzle-piece wow bounceIn text-primary" data-wow-delay=".1s"></i>
                    <h3>Flexibility</h3>
                    <p class="text-muted">PaddlePaddle supports a wide range of neural network architectures and optimization algorithms. It is easy to configure complex models such as neural machine translation model with attention mechanism or complex memory connection.</p>
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                    <i class="fa fa-5x fa-bolt wow bounceIn text-primary" data-wow-delay=".2s"></i>
                    <h3>Efficiency</h3>
                    <p class="text-muted">In order to unleash the power of heterogeneous computing resource, optimization occurs at different levels of PaddlePaddle, including computing, memory, architecture and communication.</p>
                </div>
            </div>
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                <div class="service-box">
                    <i class="fa fa-5x fa-cloud wow bounceIn text-primary" data-wow-delay=".3s"></i>
                    <h3>Scalability</h3>
                    <p class="text-muted">With PaddlePaddle, it is easy to use many CPUs/GPUs and machines to speed up your training. PaddlePaddle can achieve high throughput and performance via optimized communication.</p>
                </div>
            </div>
        </div>
    </div>
</section>

  <section class="no-padding" id="portfolio" style="display: none;">
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                                Category
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</section>

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              <h2>Fork me on github now!</h2>
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                <h2 class="section-heading">Let's Get In Touch!</h2>
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                <p>Is there any problems to use PaddlePaddle, please contact paddle-dev@baidu.com</p>
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	    </div>
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</section>

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</body>
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</html>