實現CNN for sentence classfication
論文： Convolutional Neural Networks for Sentence Classification 將每個詞取出詞向量的形式，作爲卷積的輸入。 通過filter獲取不同的特徵，經過池化和全連接，用softmax求出概率，進行分類 仍然是簡化文本處理的部分，只用6個句子作爲全部訓練語句，同時batch_size =6 三部分 parameters 計算卷積池化全連接的主體部分
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相關文章
- 1. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 2. CNN for Sentence Classification-textcnn閱讀筆記
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- 4. Convolutional Neural Network For Sentence Classification
- 5. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
- 6. RL for Sentence Generation
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- 8. CNN for NLP
- 9. 《Convolutional Neural Networks for Sentence Classification》論文研讀
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