This project forked from halxp1/lstm-text-generation
文本生成(Word2Vec + RNN/LSTM)
文本生成(Word2Vec + RNN/LSTM)
input : 输入文件数据
1.char_LSTM.py : 以字母为维度 预测下一个字母是什么
2.word_LSTM.py : 以单词为维度，预测下一个单词是是什么
用RNN做文本生成，我们这里用温斯顿丘吉尔的任务传记作为我们的学习语料。 英文的小说语料可以从古登堡计划网站下载txt平文本：https://www.gutenberg.org/wiki/Category:Bookshelf) 这里我们采用keras简单的搭建深度学习模型进行学习。
跟上一个模型一样，只不过使用的word2vec对语料构建词向量，预测下一个单词。
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