论文阅读：Sequence to Sequence Learning with Neural Networks

时间 2020-12-24

标签 # 项目经验自然语言处理算法繁體版

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论文阅读：Sequence to Sequence Learning with Neural Networks 一、Abstract 先提DNN的缺点：不能用于将序列映射到序列。于是这篇论文以机器翻译为例，首先通过一个多层的LSTM将输入的语言序列（源序列）转化为特定维度的向量，然后另一个深层LSTM将此向量解码成相应的另一语言序列（目标序列）。网上的一种理解：假设要将中文翻译成法语，那么首先

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1. 【论文阅读】Sequence to Sequence Learning with Neural Networks
2. 【论文阅读】Sequence to Sequence Learning with Neural Network
3. Sutskever2014_Sequence to Sequence Learning with Neural Networks
4. Paper：Sequence to Sequence Learning with Neural Networks
5. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
6. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
7. Sequence to Sequence Learning with Neural Networks 论文内容介绍
8. Sequence to Sequence Learning with Neural Networks论文翻译
9. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
10. Sequence to Sequence Learning with Neural Networks学习笔记
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1. 【论文阅读】Sequence to Sequence Learning with Neural Networks
2. 【论文阅读】Sequence to Sequence Learning with Neural Network
3. Sutskever2014_Sequence to Sequence Learning with Neural Networks
4. Paper：Sequence to Sequence Learning with Neural Networks
5. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
6. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
7. Sequence to Sequence Learning with Neural Networks 论文内容介绍
8. Sequence to Sequence Learning with Neural Networks论文翻译
9. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
10. Sequence to Sequence Learning with Neural Networks学习笔记

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