Sequence to Sequence Learning with Neural Networks 论文内容介绍
论文地址：传送门 1.Introduction 这篇论文是2014年Google团队提出的一篇论文，当时DNN非常流行，对于语音识别等任务的效果也非常不错，但是DNN是有限制的。比如做MT任务等等，这些序列任务其实对于输出来讲，长度的可变的，例如：English译为“英语”，实际上序列的长度发生了变化，传统的DNN是解决不了这个问题的，于是Google团队提出了seq-to-seq模型的概念。 作
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- 1. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
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- 4. 【论文阅读】Sequence to Sequence Learning with Neural Networks
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相关文章
- 1. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
- 2. Paper：Sequence to Sequence Learning with Neural Networks
- 3. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 4. 【论文阅读】Sequence to Sequence Learning with Neural Networks
- 5. Sequence to Sequence Learning with Neural Networks论文翻译
- 6. 论文阅读：Sequence to Sequence Learning with Neural Networks
- 7. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 8. Sequence to Sequence Learning with Neural Networks，从RNN开始
- 9. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
- 10. Sequence to Sequence Learning with Neural Networks学习笔记