前言 论文“Deep Boltzmann Machines”是Geoffrey Hinton和他的大牛学生Ruslan Salakhutdinov在论文“Reducing the Dimensionality of Data with Neural Networks”合作后的又一次联合发表的一篇有深远影响的论文,这篇论文第一次提出了DBM及其学习方法,对DBM原理.来源都做了详细讲解. 论文内容 前面介绍的都是BM原理及其训练,可以不用管它,下面直接从第3节开始…… 3.DBM 一般情况下,我们
一.环境的搭建 1.安装配置mysql rpm –ivh MySQL-server-5.6.14.rpm rpm –ivh MySQL-client-5.6.14.rpm 启动mysql 创建hive用户 grant all on *.* to hadoop@'%' identified by 'hadoop'; grant all on *.* to hadoop@'localhost' identified by 'hadoop'; grant all on *.* to hadoop@'m
#coding=utf-8 import shelve with shelve.open("shelve.ini","w") as f: f["k1"] = test_list f["k2"] = test_dict f["k3"] = s with shelve.open("shelve.ini","r") as f: print(f["k3"]
txt内容是手机号,数量500W,采用python代码生成,用时60S,本人技能有限,看官如果有更快的写法,欢迎留言交流. import random f = open("D:\\data.txt",'a') for i in range(1000000): m_2 = random.choice(str(34567)) m_3 = str(random.randint(0,9)) m_4 = str(random.randint(10000000,99999999)) moblie