《Sequential Short-Text Classification with Neural Networks》讀書筆記
一、在Forward Sequential Short-Text Classification這章中主要介紹了一種通過利用文本序列信息來進行分類的方法 步驟： 1、短文本向量化： （1）利用word2vec向量化短文本 （2）利用RNN或者CNN二次向量化文本 2、訓練分類器 利用普通的FNN即可，X爲一個長度爲l的短文本序列 假設第一層輸入是：s[i-d1-d2:i]，輸出是Y[i-d2:i]
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相關文章
- 1. 讀書筆記：Large-scale Vedio Classification with Convolutional Neural Networks
- 2. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 4. cousera「Neural NetWorks and Deep learning"讀書筆記
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 6. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 7. ImageNet Classification With Deep Convolutional Neural Networks閱讀筆記
- 8. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記
- 9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 10. Bag of Tricks for Image Classification with Convolutional Neural Networks閱讀筆記