文件名称:zh_cnn_text_classify-master
介绍说明－－下载内容均来自于网络，请自行研究使用
基于卷积神经网络(CNN)的中文垃圾邮件检测，很好的学习程序，基于python开发，需要配置Tensorflow。-Based on convolutional neural network (CNN) of Chinese spam detection, good learning program, python-based development, you need to configure Tensorflow.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
zh_cnn_text_classify-master
...........................\.gitignore
...........................\README.md
...........................\data
...........................\....\ham_100.utf8
...........................\....\spam_100.utf8
...........................\data_helpers.py
...........................\eval.py
...........................\runs
...........................\....\1492954581
...........................\....\..........\checkpoints
...........................\....\..........\...........\checkpoint
...........................\....\..........\...........\model-200.data-00000-of-00001
...........................\....\..........\...........\model-200.index
...........................\....\..........\...........\model-200.meta
...........................\....\..........\...........\model-300.data-00000-of-00001
...........................\....\..........\...........\model-300.index
...........................\....\..........\...........\model-300.meta
...........................\....\..........\...........\model-400.data-00000-of-00001
...........................\....\..........\...........\model-400.index
...........................\....\..........\...........\model-400.meta
...........................\....\..........\...........\model-500.data-00000-of-00001
...........................\....\..........\...........\model-500.index
...........................\....\..........\...........\model-500.meta
...........................\....\..........\...........\model-600.data-00000-of-00001
...........................\....\..........\...........\model-600.index
...........................\....\..........\...........\model-600.meta
...........................\....\..........\prediction.csv
...........................\....\..........\summaries
...........................\....\..........\.........\dev
...........................\....\..........\.........\...\events.out.tfevents.1492954586.escenter11PC
...........................\....\..........\.........\train
...........................\....\..........\.........\.....\events.out.tfevents.1492954586.escenter11PC
...........................\....\..........\trained_word2vec.model
...........................\....\..........\training_params.pickle
...........................\text_cnn.py
...........................\train.py
...........................\word2vec_helpers.py