深度特徵工程：[google]DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning
參考：https://mp.weixin.qq.com/s/0qidwbxyfTkODTw2DIiRWw 代碼 1、貢獻 DNN在特徵交叉學習上比較低效，DCN[1]可以高效的學習高階的特徵交叉，本文在DCN的基礎上，提出一種改良版的DCN-M模型。 2、回顧DCN的結構 圖中輸入包括連續特徵和向量, 模型分兩支，一是DNN模型，一是Cross Net，最終兩者的輸出concat一起經過FFN輸出
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相關文章
- 1. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
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