A Convolutional Neural Network for Modelling Sentences (DCNN) 閱讀筆記
論文原文 A Convolutional Neural Network for Modelling Sentences 論文信息 ACL2014 論文解讀 Hytn Chen 更新時間 2020-02-20 句子建模發展簡介 句子分佈式表示：將一句話用固定長度的向量進行表示，向量往往高維，因此也可看作將一句話嵌入進高維空間中去，也叫做句嵌入。而詞嵌入的思路也一致，也是要把詞用固定長度的向量表示。
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相關文章
- 1. A Convolutional Neural Network for Modelling Sentences之每日一篇
- 2. Convolutional Neural Network Architectures for Matching Natural Language Sentences（閱讀理解）
- 3. 【閱讀筆記】《ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks》
- 4. 論文閱讀筆記：ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 5. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 6. Multi-Task Convolutional Neural Network for Face Recognition閱讀筆記
- 7. 【論文閱讀筆記】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 8. 《Pixel convolutional neural network for multi-focus image fusion》閱讀筆記
- 9. 論文閱讀筆記《Cascade Residual Learning A Two-stage Convolutional Neural Network for Stereo Matching》
- 10. 論文閱讀《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》