Disconnected Recurrent Neural Networks for Text Categorization
Disconnected Recurrent Neural Networks（DRNN） CNN模型擅长抽取位置不变的局部特征，但是对于一些长距离依赖的问题处理的并不好。 RNN模型则更适合处理长距离依赖问题。 DRNN将RNN和CNN的优点结合起来，利用RNN增加了文本的长期依赖性，利用CNN增强了对局部的检测和位置不变性。该模型的结构是将k个RNN作为CNN中的卷积核，其中k为window s
相关文章
- 1. Recurrent Convolutional Neural Networks for Text Classification
- 2. Taming Recurrent Neural Networks for Better Summarization
- 3. Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
- 4. DPCNN做文本分类《Deep Pyramid Convolutional Neural Networks for Text Categorization》
- 5. 019 Recurrent Neural Networks
- 6. RNN(Recurrent Neural Networks)
- 7. Recurrent Neural Networks
- 8. Recurrent Neural Networks 简述
- 9. 论文《Recurrent Convolutional Neural Networks for Text Classification》总结
- 10. Recurrent Convolutional Neural Networks for Text Classification阅读笔记
- 更多相关文章...
- • SVG
- SVG 教程 - • Swift for 循环 - Swift 教程
- • Java Agent入门实战（三）-JVM Attach原理与使用
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Recurrent Convolutional Neural Networks for Text Classification
- 2. Taming Recurrent Neural Networks for Better Summarization
- 3. Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
- 4. DPCNN做文本分类《Deep Pyramid Convolutional Neural Networks for Text Categorization》
- 5. 019 Recurrent Neural Networks
- 6. RNN(Recurrent Neural Networks)
- 7. Recurrent Neural Networks
- 8. Recurrent Neural Networks 简述
- 9. 论文《Recurrent Convolutional Neural Networks for Text Classification》总结
- 10. Recurrent Convolutional Neural Networks for Text Classification阅读笔记