JavaShuo
欄目
標籤
深度特徵工程:[google]DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning
時間 2020-12-29
標籤
深度學習
機器學習
特徵工程
欄目
Google
简体版
原文
原文鏈接
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
>>阅读原文<<
相關文章
1.
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
2.
『 DSSM』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
3.
Cross-Modulation Networks For Few-Shot Learning
4.
Cross-stitch Networks for Multi-task Learning
5.
2019 IET之ReID:HPILN: a feature learning framework for cross-modality person re-identification
6.
『 論文閱讀』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
7.
Wide & Deep Learning for Recommender Systems
8.
Cross Attention Network for Few-shot Classification
9.
CTR模型:Deep&Cross Network
10.
Multi-view Deep Network for Cross-view Classification
更多相關文章...
•
Scala Trait(特徵)
-
Scala教程
•
Swift for-in 循環
-
Swift 教程
•
算法總結-深度優先算法
•
JDK13 GA發佈:5大特性解讀
相關標籤/搜索
cross
Deep Learning
learning
nodemon+cross
Meta-learning
Learning Perl
特徵工程
for...in
for..in
for.....in
HTML
系統網絡
CSS
Google
PHP 7 新特性
NoSQL教程
Spring教程
調度
教程
開發工具
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
Window下Ribbit MQ安裝
2.
Linux下Redis安裝及集羣搭建
3.
shiny搭建網站填坑戰略
4.
Mysql8.0.22安裝與配置詳細教程
5.
Hadoop安裝及配置
6.
Python爬蟲初學筆記
7.
部署LVS-Keepalived高可用集羣
8.
keepalived+mysql高可用集羣
9.
jenkins 公鑰配置
10.
HA實用詳解
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
2.
『 DSSM』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
3.
Cross-Modulation Networks For Few-Shot Learning
4.
Cross-stitch Networks for Multi-task Learning
5.
2019 IET之ReID:HPILN: a feature learning framework for cross-modality person re-identification
6.
『 論文閱讀』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
7.
Wide & Deep Learning for Recommender Systems
8.
Cross Attention Network for Few-shot Classification
9.
CTR模型:Deep&Cross Network
10.
Multi-view Deep Network for Cross-view Classification
>>更多相關文章<<