《Product-based Neural Networks for User Response Prediction》PNN模型的理解與python代碼
1 原文 點擊【原文】即可下載。 2 PNN PNN（Product-based Neural Network），認爲在embedding輸入到MLP之後學習的交叉特徵表達並不充分，提出了一種product layer的思想，既基於乘法的運算來體現體徵交叉的DNN網絡結構，模型如圖所示 PNN模型的輸出： L2層輸出： L1層輸出： 其中， l z l_z lz， l p l_p lp以及 b
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相關文章
- 1. 論文Product-based Neural Network for User Response Prediction
- 2. 推薦系統筆記7-Product-based Neural Networks for User Response Prediction
- 3. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
- 4. Strategies For Pre-Training Graph Neural Networks
- 5. 《推薦系統》-PNN模型
- 6. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
- 7. Graph Neural Networks for Social Recommendation
- 8. Convolutional Neural Networks for Visual Recognition
- 9. 模型加速--Slimmable neural networks
- 10. LSTM Neural Networks for Language Modeling