A Sensitivity Analysis of Convolutional Neural Networks for Sentence Classification之每日一篇

时间 2021-01-02

标签 CNN NLP 繁體版

原文原文链接

论文Convolutional neural networks for sentence classification，这篇文章已经介绍过了，它介绍了如何使用CNN做句子分类（文本分类）；而本文主要介绍了用CNN做句子分类的时的一些经验，如何调节超参。超参数包括：词向量，Region size大小，feature map的数量，激活函，pooling，正则化的影响。模型图：词向量：词向量的

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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. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
5. 论文《Convolutional Neural Networks for Sentence Classification》总结
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》论文研读
9. Convolutional Neural Networks for Sentence Classification 阅读笔记
10. Convolutional Neural Networks for Sentence Classification（阅读理解）
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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. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
5. 论文《Convolutional Neural Networks for Sentence Classification》总结
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》论文研读
9. Convolutional Neural Networks for Sentence Classification 阅读笔记
10. Convolutional Neural Networks for Sentence Classification（阅读理解）

>>更多相关文章<<