kai   none  nao   an    xing  xian  huan  bang  pei   ba    yi    yin   han   xu    chui  cen   geng  ai    peng  fang  que   yong  jun   jia   di    mai   lang  xuan  cheng shan  jin   zhe   lie   lie   pu    cheng none  bu    shi   xun   guo   jiong ye    nian  di    yu    bu    wu    juan  sui   pi    cheng wan   ju    lun   zheng kong  zhong dong  dai   tan   an    cai   shu   beng  kan   zhi   duo   yi    zhi   yi    pei   ji    zhun  qi    sao   ju    ni    ku    ke    tang  kun   ni    jian...

xxx-xxx

**Contributors (in no particular order): **
Content contributors can add information

Liu Yanchao - Southeast University  
Liu Yuande-Shanghai University of Technology (Content Revision)  
Jingwen Zheng - Data Scientist  

GAN  
GAN 2014
GAN
GAN
RNN argmax
Loss argmax
argmax GAN
GAN loss
argmax ground
truth one-hot encoding
0/1
seqGAN  
seqGAN GAN  
seqGAN GAN
argmax
reward
1. Zheng Z , Zheng L , Yang Y . Unlabeled Samples Generated by GAN Improve the Person Re-identification 
reward
7.3.6 GAN  
 
GAN
GAN 1 [^2] 2 [^ 4]
Domain gap
GAN 1
paper cycleGAN
 
 
cycleGAN
 

South China Institute of Technology graduate student - Huang Qinjian (wechat: HQJ199508212176, email: ******@****.***)


**Contributors (in no particular order):**
Content contributors can add information

Jingwen Zheng - Data Scientist  

  - family-names: Warden
    given-names: Pete
  - family-names: Wattenberg
    given-names: Martin
  - family-names: Wicke
    given-names: Martin
  - family-names: Yu
    given-names: Yuan
  - family-names: Zheng
    given-names: Xiaoqiang
identifiers:
  - type: doi
    value: 10.5281/zenodo.4724125
    description: The concept DOI for the collection containing all versions of the Citation File Format.
date-released: "2015-11-09"

## 参考文献

[1] Zheng Z , Zheng L , Yang Y . Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[C]// 2017 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society, 2017.

[2]  Zhong Z ,  Zheng L ,  Zheng Z , et al. Camera Style Adaptation for Person Re-identification[J].  2017.

> * 本文永久链接：[https://github.com/xitu/gold-miner/blob/master/TODO/surprising-polymorphism-in-react-applications.md](https://github.com/xitu/gold-miner/blob/master/TODO/surprising-polymorphism-in-react-applications.md)
> * 译者： [Candy Zheng](https://github.com/blizzardzheng)
> * 校对者：[goldEli](https://github.com/goldEli)，[老教授](https://juejin.im/user/58ff449a61ff4b00667a745c)

# React 应用中的性能隐患 —— 神奇的多态

[Zheng et al., 2009] Zheng, V. W., Hu, D. H., and Yang, Q. (2009). Cross-domain activity recognition. In *Proceedings of the 11th international conference on Ubiquitous computing*, pages 61-70. ACM.

Rasmus, Alexey Surkov and Volker Tresp. \item 第四章（数值计算）： Tran Lam AnIan Fischer and Hu Yuhuang. \item 第五章（机器学习基础）： Dzmitry Bahdanau, Justin Domingue, Nikhil Garg, Makoto Otsuka, Bob Pepin, Philip Popien, Emmanuel Rayner, Peter Shepard, Kee-Bong Song, Zheng Sun and Andy Wu. \item 第六章（深度前馈网络）： Uriel Berdugo, Fabrizio Bottarel, Elizabeth Burl, Ishan Durugkar, Jeff Hlywa, Jong Wook Kim, David Krueger and Aditya Kumar Praharaj. \item 第七章（深度学习中的正则化）： Morten Kolbæk, Kshitij Lauria, Inkyu Lee, Sunil Mohan, Hai...

Akshat Mittal <******@****.***>
Alan Braithwaite <******@****.***>
Alan Deng <******@****.***>
Albert Mañosa <******@****.***>
Albert Zhang <******@****.***>
Albert Zheng <lisong.zheng@gmail.com>
Albert 理斯特 <******@****.***>
Alberto Marchetti <******@****.***>
Aleck Landgraf <******@****.***>
Alek Ye <******@****.***>
Aleksandr Chernokondratenko <******@****.***>