Reproduction process of AlexNet

Overview

PaddlePaddle论文复现杂谈

背景

注:该repo基于PaddlePaddle,对AlexNet进行复现。时间仓促,难免有所疏漏,如果问题或者想法,欢迎随时提issue一块交流。

飞桨论文复现赛地址:https://aistudio.baidu.com/aistudio/competition/detail/106

不可多得的学习过程中还能搞钱的机会,欢迎大家积极报名。

介绍

目录结构

  • AlexNet-torch: 将pytorch代码中与AlexNet图像分类任务有关的代码抽取出来,用于复现
  • AlexNet-paddle:基于AlexNet-torch进行的AlexNet模型复现。
  • notebook:整理PPT过程中遇到过的一些代码小片段,算是一点小随笔了。

注意:这里为了严格保持对齐的步骤,将数据集中的每个类别对应的图片都装在了同一个文件夹中,但是实际上,使用train_list.txt这种文本的方式去记录训练数据列表,整体训练文件会更加灵活可控一些,更加具体的实现可以参考:PaddleClas中的数据读取部分。

官方模型套件指路。

欢迎贡献

  • 如果您有更多有意思的paddle代码小片段,也欢迎提个pr,上传到notebook文件夹,可以是一些自己实现的骚操作,也可以是一些组合的一些api,也可以是自己在使用过程中觉得有意思的功能。
  • 如果您有更多已经复现的文章或者方法,如果有兴趣提交的话,可以新建一个文件夹,命名为xxxx-paddle,其中xxxx表示复现的算法或者名称,将自己的代码放在该文件夹下,然后提交PR即可。
  • 生命不息,开源不止,感谢您的使用和关注,希望我们可以一起用飞桨划出一个更有意思的时代。
Owner
https://blog.csdn.net/u012526003
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