Collaborative Deep Embedding via Dual Networks
本文結構： 一， Contribution 二， 實驗 實際需求 訓練數據 《Collaborative Deep Embedding via Dual Networks》 目的：採用Dual網絡分別對項目和用戶進行enbedding，通過協作方式共同訓練，捕捉用戶項目之間的複雜關係，具有強泛化能力（推廣到未知項目或用戶）。 論文信息：2017年。 一，Contribution： 1）
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相關文章
- 1. 論文閱讀：Collaborative Deep Embedding Via Dual Networks
- 2. DeepPose：Human Pose Estimation via Deep Neutral NetWorks
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- 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. 論文閱讀：Deep Metric Learning via Lifted Structured Feature Embedding
- 8. 論文閱讀理解 - Deep Metric Learning via Lifted Structured Feature Embedding
- 9. Structural Deep Network Embedding
- 10. 《Predict Anchor Links across Social Networks via an Embedding Approach》閱讀筆記