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错别字 Update rnn.md #1341

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错别字 Update rnn.md #1341

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2 changes: 1 addition & 1 deletion chapter_recurrent-neural-networks/rnn.md
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Expand Up @@ -263,7 +263,7 @@ Bengio等人首先提出使用神经网络进行语言建模

在这里，信息论可以派上用场了。
我们在引入softmax回归
（ :numref:`subsec_info_theory_basics`）时定义了熵、惊异和交叉熵，
（ :numref:`subsec_info_theory_basics`）时定义了熵、信息量和交叉熵，
并在[信息论的在线附录](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/information-theory.html)
中讨论了更多的信息论知识。
如果想要压缩文本，我们可以根据当前词元集预测的下一个词元。
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