An Empirical Exploration of Recurrent Network Architectures重点
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文章作者做了多组实验检测各种不同结构的RNN在不同的问题上的表现，得到的结论包括：
（1）GRU在除了语言模型的其他地方比LSTM表现好
（2）LSTM with dropout在语言模型上表现好，有大的遗忘门偏置后表现更好
（3）在LSTM中，各个门的重要性为：遗忘门>输入门>输出门
（4）遗忘门在除了语言模型外的情况下影响非常大
语言模型的长期依赖效应强于其他场景
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