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该<span>实验</span>的内容<span>是实现一个基于</span>深度<span>卷积</span>网络<span>的食物图片分类器</span>。<span>在</span>上完<span>刘兴旺老师的</span>之后<span>，同时在</span>熟悉<span>了</span>caffe深度<span>学习框架之后</span><span>（</span>Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley.）<span>，</span>通过国外<span>作者已经发表的论文</span>（Food Image Recognition: Boosting with Shallow Handcrafted Feature and Deep Convolutional Feature）<span>以及其</span>在github上<span>发布的代码作为参考，小组同学</span>在<span>其基础上学习参考后实现的。</span>在<span>编写这份作业报告</span>中<span>，</span>会<span>加以引用原论文</span>的<span>部分</span>内容<span>。</span>
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