A Convolutional Neural Network for Modelling Sentences之每日一篇
一.介紹 算法實現：https://github.com/lc222/Dynamic-CNN-Sentence-Classification-TF 這篇論文介紹了一種DCNN對句子語義建模，時間有點久遠了就是經典回來再學習一下，代碼實現一下。模型採用動態K-max pooling取出得分top k的特徵值，這裏區別一下與max pooling 的區別，能處理不同的句子，不依賴解析樹，而word2v
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相關文章
- 1. A Convolutional Neural Network for Modelling Sentences (DCNN) 閱讀筆記
- 2. A Sensitivity Analysis of Convolutional Neural Networks for Sentence Classification之每日一篇
- 3. A mixed-scale dense convolutional neural network for image analysis
- 4. LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
- 5. 《A Convolutional Neural Network Cascade for Face Detection》
- 6. Convolutional Neural Networks for Sentence Classification之每日一篇
- 7. A Cascaded Convolutional Neural Network for Single Image Dehazing
- 8. Tensorflow - Implement for a Convolutional Neural Network on MNIST.
- 9. Convolutional Neural Network For Sentence Classification
- 10. Convolutional Neural Network Architectures for Matching Natural Language Sentences（閱讀理解）