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whale-paper's Introduction

Whale-Paper项目

  本项目主要是对目前比较成熟的 Topic 和开源方案进行分享,通过一起阅读、分享论文学习的方式帮助大家更好地“高效+全面+自律”学习,让大家都有所收获和提升!

  项目目前包括自然语言处理(NLP)、计算机视觉(CV)、推荐(Res)相关方向的论文解读和分享,后续将融入更多的方向。

项目愿景

阅读前沿论文,分享技术创新

在线阅读地址

在线阅读地址:https://datawhalechina.github.io/whale-paper

报名流程

报名论文分享的小伙伴可以按照以下流程申请:

  1. 填写报名申请

报名链接:https://datawhale.feishu.cn/base/bascnWA5L38032zJGfVZR1P5kKe

  1. 安排排期

项目负责人将会联系你,并安排论文分享的时间及内容审核

论文分享内容(建议)

  • 领域知识介绍(10~20分钟)
  • 动机
  • 模型损失函数,方法,思路
  • 预处理代码、模型代码
  • 个人观点
  • 讨论与QA

往期论文分享视频

B站视频链接:https://space.bilibili.com/431850986/channel/seriesdetail?sid=260687

(持续更新中)

致谢

核心贡献者

芙蕖-项目负责人 (Datawhale成员)

关注我们

扫描下方二维码关注公众号:Datawhale

  Datawhale,一个专注于AI领域的学习圈子。初衷是for the learner,和学习者一起成长。目前加入学习社群的人数已经数千人,组织了机器学习,深度学习,数据分析,数据挖掘,爬虫,编程,统计学,Mysql,数据竞赛等多个领域的内容学习,微信搜索公众号Datawhale可以加入我们。

LICENSE

知识共享许可协议
本作品采用知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议进行许可。

whale-paper's People

Contributors

relph1119 avatar yikunhan42 avatar

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