QANet: Combining Local Convolution With Global Self-Attention For Reading Comprehension
文章目录 1.概述 2.模型结构 2.1.Input embedding layer 2.2 Embedding Encoder Layer 2.3.Context-Query Attention Layer 2.4.Model Encoder Layer 2.5 Output layer 3.数据增强 4.源码及训练 参考文献 博主标记版paper下载地址：zsweet github 关于pap
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相关文章
- 1. QANET: COMBINING LOCAL CONVOLUTION WITH GLOBAL SELF-ATTENTION FOR READING COMPREHENSION
- 2. 【论文笔记】QANET：Combining Local Convolution With Global Self-attention for Reading Comprehension
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