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《Convolutional Neural Networks for Sentence Classification》
時間 2020-12-30
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《Convolutional Neural Networks for Sentence Classification》 概述:使用基於word2vec的單層CNN,對多個文本分類任務進行了評測。 結論: 1.word2vec是個好東西。使用pre-training 訓練的資源成爲nlp不可或缺的一部分。 2.Dropout可以提高2%-4%的相對性能。 3.多通道的CNN相對於Static CNN
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相關文章
1.
Convolutional Neural Networks for Sentence Classification
2.
論文《Convolutional Neural Networks for Sentence Classification》總結
3.
論文閱讀:《Convolutional Neural Networks for Sentence Classification》
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《Convolutional Neural Networks for Sentence Classification》論文研讀
5.
Convolutional Neural Networks for Sentence Classification 閱讀筆記
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[NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
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