代码搜索：BATCH
找到约 6,125 项符合「BATCH」的源代码
代码结果 6,125
www.eeworm.com/read/337636/12352777
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/250403/12408194
txt winput.txt
Winput Ver. 1.1 (c) 2007, Horst Schaeffer
-----------------------------------------
Winput offers an input window to get a user's input string for batch processing.
Ver 1.1 supports multiline pro
www.eeworm.com/read/148478/12464709
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build frameworks lib for EZUSB FX2LP/FX1
REM #
REM #
www.eeworm.com/read/131588/14136162
m perceptron_bvi.m
function D = Perceptron_BVI(train_features, train_targets, params, region)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% features - Train features
% targets
www.eeworm.com/read/131588/14136379
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent
www.eeworm.com/read/131588/14136399
m backpropagation_recurrent.m
function [D, Wh, Wo] = Backpropagation_Recurrent(train_features, train_targets, params, region)
% Classify using a backpropagation recurrent network with a batch learning algorithm
% Inputs:
% f
www.eeworm.com/read/233772/14136850
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/233768/14136963
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/129915/14217606
m perceptron_bvi.m
function D = Perceptron_BVI(train_features, train_targets, params, region)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% features - Train features
% targets
www.eeworm.com/read/129915/14217762
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent