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

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            <h1>PaddlePaddle</h1>
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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 btn-pd">Quick Start</a>
	    <a href="http://paddlepaddle.org/doc/" class="btn btn-primary btn-xl page-scroll btn-pd">Documentation</a>
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                <h2 class="section-heading">What's PaddlePaddle</h2>
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		<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.
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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>
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                    <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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                    <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>
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                    <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>
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                <p>If you have any problems using PaddlePaddle, please contact paddle-dev@baidu.com.</p>
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