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rnnlm's Introduction

RNNLM

运行于 Python 2.5 tensorflow 1.2

1.train 数据集有42068条数据 2.valid 数据 3370条 dev_ppx:86.6203138058 3.test 数据 3370条

数据概览: 1.多少行句子: wc train 2.多少个单词(token) wc train 3.多少种单词(type) cat train|tr '' '\n'|sort\uniq\wc 4.最长(最短)句子有多少单词 cat train|tr ' ' '\n'|sort|uniq -c|sort -n sort: 词本身排序 uniq -c:去重记次数 sort -n:按次数排序 5.句子长度与数量的关系 awk '{print NF}'|sort -n|uniq -c

4.data 文件夹 存储原始数据集

5.data_util.py 数据预处理 1.创建词典 2.根据字典将原始数据转换为对应的数字id。

6.generate_jobs.py 生成 random research 200个参数的 bash

rnnlm's People

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