【论文笔记】LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
论文主题：LightRNN 解决的问题是在 perplexity 差不多的情况下 减少模型大小(model size) + 加快训练速度(computational complexity)。论文在多个基准数据集进行语言建模任务来评价 LightRNN这是一篇关于语言模型的文章。提出了使用二分量共享词向量来减少模型大小参数数量来提高运行时间的论文。 前提知识： perplexity :Perplex
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相关文章
- 1. Attention and Augmented Recurrent Neural Networks
- 2. 019 Recurrent Neural Networks
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