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  <div class="section" id="c-api">
<h1>C-API预测库<a class="headerlink" href="#c-api" title="永久链接至标题">¶</a></h1>
<p>当我们训练完一个神经网络模型之后，下一步就是用模型来做预测。预测就是准备输入数据，经过模型处理之后，得到预测结果的过程。</p>
<p>相比于模型训练，预测有如下特点：</p>
<ol class="arabic simple">
<li>预测不需要训练过程中反向传播和参数更新的部分。</li>
<li>预测不需要标签(label)。</li>
<li>预测很多时候需要和用户系统整合在一起。</li>
</ol>
<p>因为上述特点，模型预测SDK需要单独设计，并具备以下特点：</p>
<ol class="arabic simple">
<li>预测SDK不包含反向传播和参数更新部分，以减小SDK的体积。</li>
<li>预测SDK需要提供一个简洁的用户接口，方便使用。</li>
<li>因为输入数据可能有多种结构，对输入数据的格式做清晰简洁的封装。</li>
<li>为了和用户系统兼容，SDK的接口需要是满足C标准的接口。</li>
</ol>
<p>PaddlePaddle提供了C-API，用于解决上述问题。关于C-API的使用，我们提供了如下指南：</p>
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