代码风格仿照:https://github.com/dennybritz/rnn-tutorial-gru-lstm
Attention based LSTM,MLSTM的论文为:Learning Natural Language Inference with LSTM
使用RNN或LSTM进行文本分类
使用LSTM实现的句子到句子模型,可以用与对话生成,也可以用于机器翻译
这个版本更容易读懂,希望对刚刚学习的同学有所帮助
This project forked from wangxggc/rnn-theano
使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
代码风格仿照:https://github.com/dennybritz/rnn-tutorial-gru-lstm
Attention based LSTM,MLSTM的论文为:Learning Natural Language Inference with LSTM
使用RNN或LSTM进行文本分类
使用LSTM实现的句子到句子模型,可以用与对话生成,也可以用于机器翻译
这个版本更容易读懂,希望对刚刚学习的同学有所帮助
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