Sequence to Sequence Learning with Neural Networks论文翻译
Sequence to Sequence Learningwith Neural Networks论文翻译 摘要 深度神经网络是在困难的学习任务中取得卓越性能的强大模型。尽管拥有大量的标记训练集，DNN就能很好地工作，但是它们并不能用于将序列映射到序列。在本文中，我们提出了一种通用的端到端序列学习方法，它对序列结构作出最小的假设。我们的方法使用多层长短期记忆网络(LSTM)将输入序列映射到一个固定
相关文章
- 1. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 2. Paper：Sequence to Sequence Learning with Neural Networks
- 3. (25)[NIPS14] 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 论文内容介绍
- 6. 论文阅读：Sequence to Sequence Learning with Neural Networks
- 7. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 8. 【论文阅读】Sequence to Sequence Learning with Neural Network
- 9. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
- 10. Sequence to Sequence Learning with Neural Networks学习笔记
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相关文章
- 1. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 2. Paper：Sequence to Sequence Learning with Neural Networks
- 3. (25)[NIPS14] 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 论文内容介绍
- 6. 论文阅读：Sequence to Sequence Learning with Neural Networks
- 7. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 8. 【论文阅读】Sequence to Sequence Learning with Neural Network
- 9. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
- 10. Sequence to Sequence Learning with Neural Networks学习笔记