代码搜索：gdata
找到约 456 项符合「gdata」的源代码
代码结果 456
www.eeworm.com/read/337921/12333254
c i2c.c
#include "reg51.h"
#include
extern bit gFmMute;
BYTE gFmDat,gRdFreq,gFmSt;
sbit gI2cCLK = 0x81;
sbit gI2cSDA = 0x80;
WORD gDispFre;
void I2C_Start()
{
gI2cCLK = 0;
WaitUs(
www.eeworm.com/read/238859/4607697
manifest youtube.manifest
Manifest-Version: 1.0
Class-Path: gdata-client-1.0.jar gdata-media-1.0.jar gdata-youtube-meta-1.0.jar
Name: com/google/gdata/client/youtube/
Specification-Title: Google YouTube Data API
Specification
www.eeworm.com/read/13871/284615
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET toget
www.eeworm.com/read/238859/4607684
worksheet com.google.schemas.spreadsheets.2006.worksheet
# GData Kind Adaptors for http://schemas.google.com/spreadsheets/2006#worksheet
com.google.gdata.data.spreadsheet.WorksheetEntry
com.google.gdata.data.spreadsheet.WorksheetFeed
www.eeworm.com/read/238859/4607685
cell com.google.schemas.spreadsheets.2006.cell
# GData Kind Adaptors for http://schemas.google.com/spreadsheets/2006#cell
com.google.gdata.data.spreadsheet.CellEntry
com.google.gdata.data.spreadsheet.CellFeed
www.eeworm.com/read/238859/4607686
spreadsheet com.google.schemas.spreadsheets.2006.spreadsheet
# GData Kind Adaptors for http://schemas.google.com/spreadsheets/2006#spreadsheet
com.google.gdata.data.spreadsheet.SpreadsheetEntry
com.google.gdata.data.spreadsheet.SpreadsheetFeed
www.eeworm.com/read/238859/4607687
list com.google.schemas.spreadsheets.2006.list
# GData Kind Adaptors for http://schemas.google.com/spreadsheets/2006#list
com.google.gdata.data.spreadsheet.ListEntry
com.google.gdata.data.spreadsheet.ListFeed
www.eeworm.com/read/344585/3207747
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/396844/2406680
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET together
www.eeworm.com/read/359369/2978479
m gbayes.m
function [g, gdata, gprior] = gbayes(net, gdata)
%GBAYES Evaluate gradient of Bayesian error function for network.
%
% Description
% G = GBAYES(NET, GDATA) takes a network data structure NET toget