A Sensitivity Analysis of Convolutional Neural Networks for Sentence Classification之每日一篇
論文Convolutional neural networks for sentence classification，這篇文章已經介紹過了，它介紹瞭如何使用CNN做句子分類（文本分類）；而本文主要介紹了用CNN做句子分類的時的一些經驗，如何調節超參。 超參數包括：詞向量，Region size大小，feature map的數量，激活函，pooling，正則化的影響。 模型圖： 詞向量： 詞向量的
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相關文章
- 1. Convolutional Neural Networks for Sentence Classification之每日一篇
- 2. Convolutional Neural Networks for Sentence Classification
- 3. 《Convolutional Neural Networks for Sentence Classification》
- 4. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 5. 論文《Convolutional Neural Networks for Sentence Classification》總結
- 6. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 7. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
- 8. 《Convolutional Neural Networks for Sentence Classification》論文研讀
- 9. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 10. Convolutional Neural Networks for Sentence Classification（閱讀理解）