num_set=set([0,1,3,4,5])num_set.pop()print(num_set)num_set.pop()print(num_set) ...
#Createanewsetnum_set=set([0,1,2,3,4,5])#Discardnumber4num_set.discard(4)print(num_set) ...
//xxx.hnamespaceA{#definexxx()xxxxx}//在其他文件中，引入xxx.h文件，使用宏定义时，不需要加命名空间//yyy.cpp#include"xxx.h"//somdcodevoidfunc(){//正确xxx()} ...
例子一#include<iostream>#include<windows.h>usingnamespacestd;DWORDWINAPIFun(LPVOIDlpParamter){for(inti=0;i<10;i++)cout<<"A！"&l...
#!/bin/bash#当/var/log/syslog大于68B时if![-f/var/log/syslog]thenecho"filenotexist!"exit1fiif[`ls-l/var/log/syslog|awk'{print$5}'`-gt$(68)]thencat/va...
crontab-e输出如下nocrontabforf-usinganemptyoneSelectaneditor.Tochangelater,run'select-editor'.1./bin/ed2./bin/nano<----easiest3./usr/bin/vim.tiny...
#Unionsetx=set(["green","blue"])sety=set(["blue","yellow"])seta=setx|setyprint(seta) ...
#Intersectionsetx=set(["green","blue"])sety=set(["blue","yellow"])setz=setx&setyprint(setz) ...
#Createasetseta=set([5,10,3,15,2,20])#Findmaximumvalueprint(max(seta))#Findminimumvalueprint(min(seta)) ...
setp=set(["Red","Green"])setq=setp.copy()print(setq)setp.clear()print(setq) ...
setx=set(["apple","mango"])sety=set(["mango","orange"])#Symmetricdifferencesetc=setx^setyprint(setc) ...
#Anewemptysetcolor_set=set()color_set.add("Red")print(color_set)#Addmultipleitemscolor_set.update(["blue","blue","Green"])print(color_set) ...
#createatupletuplex=4,8,3print(tuplex)n1,n2,n3=tuplex#unpackatupleinvariablesprint(n1+n2+n3)#thenumberofvariablesmustbeequaltothenumberofitemsof...
#createatuplel=[(1,2),(3,4),(8,9)]print(list(zip(*l))) ...
#createatupletuplex=(2,4,3,5,4,6,7,8,6,1)#usedtuple[start:stop]thestartindexisinclusiveandthestopindex_slice=tuplex[3:5]#isexclusiveprint(_slice...
版权申明：本文为博主窗户(Colin Cai)原创，欢迎转帖。如要转贴，必须注明原文网址 http://www.cnblogs.com/Colin-Cai/p/7899171.html 作者：窗户 QQ：6679072 E-mail：6679072@qq.com bp神经网络为大家所熟知，推导中使用了基于梯度下降。而对于更为一般的情况，解决问题的出发点是建立一组函数fi(Ci,Xi), i=1..n，n为输出的个数，也就是函数的个数，对于每个fi，Ci是一个参数向量，Xi是一个输入向量，我们的目标就是为这组函数中的每个fi找到最合适的Ci。 ...
