资料

1、TensorFlow实现w2v：
http://blog.csdn.net/u014595019/article/details/54093161
2、w2v知识介绍
http://blog.csdn.net/itplus/article/details/37969635
3、序列模型
LSTM
http://blog.csdn.net/u014595019/article/details/52605693
CRF
http://www.52nlp.cn/%E6%9D%A1%E4%BB%B6%E9%9A%8F%E6%9C%BA%E5%9C%BA%E6%96%87%E7%8C%AE%E9%98%85%E8%AF%BB%E6%8C%87%E5%8D%97
RNN
http://blog.csdn.net/prom1201/article/details/52221822
4、广告点击预测模型概述
http://www.doesbetter.com/862/
TENSORFLOW与MXNET分布式框架对比
http://www.doesbetter.com/836/
OWLQN算法介绍
http://www.cnblogs.com/downtjs/p/3222643.html
机器学习优秀回答
https://www.zhihu.com/question/37057945
https://www.zhihu.com/question/27043630/answer/90053957
5、常用推荐算法
http://www.10tiao.com/html/639/201701/2247484272/1.html
6、一些讨论
http://nooverfit.com/wp/pycon-2016-tensorflow-%E7%A0%94%E8%AE%A8%E4%BC%9A%E6%80%BB%E7%BB%93-tensorflow-%E6%89%8B%E6%8A%8A%E6%89%8B%E5%85%A5%E9%97%A8-%E7%AC%AC%E4%BA%8C%E8%AE%B2-word2vec/