深度特征工程：[google]DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning
参考：https://mp.weixin.qq.com/s/0qidwbxyfTkODTw2DIiRWw 代码 1、贡献 DNN在特征交叉学习上比较低效，DCN[1]可以高效的学习高阶的特征交叉，本文在DCN的基础上，提出一种改良版的DCN-M模型。 2、回顾DCN的结构 图中输入包括连续特征和向量, 模型分两支，一是DNN模型，一是Cross Net，最终两者的输出concat一起经过FFN输出
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