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<h2 class="section-heading">Supported Features</h2>
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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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