Collaborative Deep Embedding via Dual Networks
本文结构： 一， Contribution 二， 实验 实际需求 训练数据 《Collaborative Deep Embedding via Dual Networks》 目的：采用Dual网络分别对项目和用户进行enbedding，通过协作方式共同训练，捕捉用户项目之间的复杂关系，具有强泛化能力（推广到未知项目或用户）。 论文信息：2017年。 一，Contribution： 1）
相关文章
- 1. 论文阅读：Collaborative Deep Embedding Via Dual Networks
- 2. DeepPose：Human Pose Estimation via Deep Neutral NetWorks
- 3. Dual Channel Hypergraph Collaborative Filtering 读书笔记
- 4. LPRNet: License Plate Recognition via Deep Neural Networks
- 5. Recognizing irregular entities in biomedical text via deep neural networks
- 6. Dual Path Networks
- 7. 论文阅读：Deep Metric Learning via Lifted Structured Feature Embedding
- 8. 论文阅读理解 - Deep Metric Learning via Lifted Structured Feature Embedding
- 9. Structural Deep Network Embedding
- 10. 《Predict Anchor Links across Social Networks via an Embedding Approach》阅读笔记
- 更多相关文章...
- • PHP is_uploaded_file() 函数 - PHP参考手册
- • XML DOM - Document 对象 - XML DOM 教程
相关标签/搜索
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。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文阅读：Collaborative Deep Embedding Via Dual Networks
- 2. DeepPose：Human Pose Estimation via Deep Neutral NetWorks
- 3. Dual Channel Hypergraph Collaborative Filtering 读书笔记
- 4. LPRNet: License Plate Recognition via Deep Neural Networks
- 5. Recognizing irregular entities in biomedical text via deep neural networks
- 6. Dual Path Networks
- 7. 论文阅读：Deep Metric Learning via Lifted Structured Feature Embedding
- 8. 论文阅读理解 - Deep Metric Learning via Lifted Structured Feature Embedding
- 9. Structural Deep Network Embedding
- 10. 《Predict Anchor Links across Social Networks via an Embedding Approach》阅读笔记