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leinaopai's Introduction

LeinaoPAI

欢迎大家分享更多的使用案例

序号 名称 摘要 提供者 更新时间 备注
1 tensorflow-distributed 提交跨机器的任务进行TensorFlow的分布式训练,以mnist数据集分类为例 feng257 2018.8.14
2 pytorch-imagenet 在pytorch框架下,使用平台的ImageNet数据集,训练resnet50 feng257 2018.9.15
3 ppchallenge2018 在平台上支持“ 基于深度学习的图像压缩后处理竞赛”的后台代码 xwzheng1020 2018.9.16

欢迎大家将镜像的dockerfile分享出来

当有编译镜像需求时,提交pull request到本项目,要求:

  1. 统一放置在images目录下
  2. 每个镜像一个子目录,目录名称为"镜像名称.tag",如 ”ubuntu.16.04-ssh"
  3. 如果镜像编译过程中需要使用一些大的文件,不要提交到本项目,而是提供一个下载这些文件的脚本
  4. 同时提交readme文件

友情链接

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Contributors

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