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    <title>PaddlePaddle ---- PArallel Distributed Deep LEarning</title>

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                    <a class="page-scroll" href="#what">PaddlePaddle是什么?</a>
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                    <a class="page-scroll" href="#feature">特性</a>
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            <h1>PaddlePaddle</h1>
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	    <p>开放易用的深度学习平台,工业应用与学术研究并举</p>
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	    <a href="http://www.paddlepaddle.org/doc_cn/demo/quick_start/index.html" class="btn btn-primary btn-xl page-scroll btn-pd">快速上手</a>
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	    <a href="https://github.com/baidu/paddle" class="btn btn-primary btn-xl page-scroll btn-pd">代码</a>
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                <h2 class="section-heading">什么是PaddlePaddle</h2>
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		<p class="text-faded">PaddlePaddle (PArallel Distributed Deep LEarning)是百度研发的深度学习平台,具有易用,高效,灵活和可伸缩等特点,为百度内部多项产品提供深度学习算法支持。</p>
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  <section id="feature">
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    <div class="container">
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                <h2 class="section-heading">支持的特性</h2>
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                    <h3>易用性</h3>
		    <p class="text-muted">易用性是PaddlePaddle的设计核心之一,它为用户提供了直观且灵活的数据接口和模型定义接口。</p>
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                    <h3>灵活性</h3>
                    <p class="text-muted">PaddlePaddle支持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,如带注意力机制或复杂记忆连接的神经机器翻译模型。</p>
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                    <h3>高效性</h3>
                    <p class="text-muted">为充分发挥多种计算资源的效力,PaddlePaddle在计算、存储、架构、通信等多方面都做了细致优化,性能优异。</p>
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                    <h3>可伸缩性</h3>
                    <p class="text-muted">PaddlePaddle全面支持多核、多GPU、多机环境,优化的通信实现使高吞吐与高性能成为可能,轻松应对大规模数据训练需求。</p>
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    <aside class="bg-dark">
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              <h2>欢迎访问PaddlePaddle的Github</h2>
              <a href="https://github.com/baidu/paddle#fork-destination-box" class="btn btn-default btn-xl wow tada">Fork!</a>
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    <aside class="bg-dark">
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              <h2>或在Cloud上使用PaddlePaddle</h2>
              <a style="visibility: visible; animation-name: tada;" href="https://cloud.baidu.com/product/paddle.html" class="btn btn-default btn-xl wow tada">Cloud baidu</a>
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  <section id="contact">
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                <h2 class="section-heading">让我们保持联系</h2>
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                <p>如果有任何疑问,欢迎联系paddle-dev@baidu.com</p>
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