<A Critical Review of Recurrent Neural Networks for Sequence Learning>阅读笔记
最近要学习RNN相关知识，根据知乎的建议，首先阅读了这篇经典论文。边读边想遍记录。 一、3个问题 1. 为什么一定要是序列模型？ 像SVM、LR、前向反馈网络是建立在 “独立”假设的基础上，更多模型则是人为地去构造前后顺序。但即使这样，上述模型仍然不能解决长时间序列的依赖问题。比如语音或文本识别中的长句子场景。 所以，这种有时间或顺序性的模型，是不能用几个分类器或学习模型串联起来进行等价的。 对于
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相关文章
- 1. A Critical Review of Recurrent Neural Networks for Sequence Learning
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