【fishexpert个人笔记】学习资料整理

深度学习
机器学习

#41

Advances in NLP in 2017

https://medium.com/@madrugado/advances-in-nlp-in-2017-b00e927fcc57


#42

基于随机森林的客户流失动因分析

https://blog.slavv.com/identifying-churn-drivers-with-random-forests-65bad0193e6b


#43

YouTube 的视频推荐算法是怎样的?

https://www.zhihu.com/question/20829671


#44

(Kaggle不良评论分类)First time with Kaggle: A ConvNet to classify toxic comments with Keras

https://medium.com/@srjoglekar246/first-time-with-kaggle-a-convnet-to-classify-toxic-comments-with-keras-ef84b6d18328


#45

A Clearer and Simpler MobileNet Implementation in TensorFlow


#46

纵览轻量化卷积神经网络:SqueezeNet、MobileNet、ShuffleNet、Xception https://mp.weixin.qq.com/s/iNCDgDOyirN-QGCVm92YiA


#47

A Tensorflow implementation of Capsule networks


#48

The 10 Statistical Techniques Data Scientists Need to Master

https://towardsdatascience.com/the-10-statistical-techniques-data-scientists-need-to-master-1ef6dbd531f7


#49

订单贡献率10%,京东个性化推荐系统持续优化的奥秘

http://www.csdn.net/article/2015-04-15/2824476


#50

kaggle竞赛:猫狗大战


#51

#52

http://blog.csdn.net/jdbc/article/details/72468001


#53

kaggle模型融合 https://mlwave.com/kaggle-ensembling-guide/


#54

#55

https://www.tensorflow.org/deploy/distributed


#56

1、Deep Residual Learning for Image Recognition(ResNet)

2、vgg-16/19

3、神经网络初始化

4、Inception V3

5、Xception

6、汇总


#57

http://andyljones.tumblr.com/post/110998971763/an-explanation-of-xavier-initialization


#58

http://blog.csdn.net/u014114990/article/details/53905649


#59

#60

http://lamda.nju.edu.cn/weixs/project/CNNTricks/CNNTricks.html

https://www.leiphone.com/news/201703/3qMp45aQtbxTdzmK.html

https://zhuanlan.zhihu.com/p/25110450