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软件测试
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文件大小：20144KB
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上传日期：2014-06-01 10:20:42
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tjxbb,说明： 斯坦福大学关于深度学习的资料及练习代码
(Stanford depth learning materials),Exercise1 Sparse Autoencoder
............................\
checkNumericalGradient.m,1982,2013-04-09
............................\
computeNumericalGradient.m,1531,2013-04-09
............................\
display_network.m,2647,2013-04-09
............................\IMAGES.
mat,20971720,2011-01-03
............................\
initializeParameters.m,622,2013-04-09
............................
\minFunc
............................\.......\
ArmijoBacktrack.m,3143,2013-04-09
............................\.......\
autoGrad.m,807,2013-04-09
............................\.......\
autoHess.m,901,2013-04-09
............................\.......\
autoHv.m,307,2013-04-09
............................\.......\
autoTensor.m,870,2013-04-09
............................\.......\
callOutput.m,374,2013-04-09
............................\.......\
conjGrad.m,1763,2013-04-09
............................\.......\
dampedUpdate.m,953,2013-04-09
............................\.......\
example_minFunc.m,2421,2013-04-09
............................\.......\
example_minFunc_LR.m,1556,2013-04-09
............................\.......\isLegal.
m,106,2013-04-09
............................\.......\
lbfgs.m,885,2013-04-09
............................\.......\
lbfgsC.c,2293,2013-04-09
............................\.......\lbfgsC.
mexa64,7707,2013-04-09
............................\.......\lbfgsC.
mexglx,7733,2013-04-09
............................\.......\lbfgsC.
mexmac,9500,2013-04-09
............................\.......\lbfgsC.
mexmaci,12660,2013-04-09
............................\.......\lbfgsC.
mexmaci64,8800,2013-04-09
............................\.......\lbfgsC.
mexw32,7168,2013-04-09
............................\.......\lbfgsC.
mexw64,9728,2013-04-09
............................\.......\
lbfgsUpdate.m,594,2013-04-09
............................\.......
\logistic
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LogisticDiagPrecond.m,397,2013-04-09
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LogisticHv.m,208,2013-04-09
............................\.......\........\
LogisticLoss.m,625,2013-04-09
............................\.......\........\
mexutil.c,1111,2013-04-09
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mexutil.h,309,2013-04-09
............................\.......\........\
mylogsumexp.m,219,2013-04-09
............................\.......\........\
repmatC.c,3816,2013-04-09
............................\.......\........\repmatC.
dll,7680,2013-04-09
............................\.......\........\repmatC.
mexglx,20682,2013-04-09
............................\.......\........\repmatC.
mexmac,10000,2013-04-09
............................\.......\
mchol.m,1228,2013-04-09
............................\.......\
mcholC.c,3992,2013-04-09
............................\.......\mcholC.
mexmaci64,13184,2013-04-09
............................\.......\mcholC.
mexw32,8192,2013-04-09
............................\.......\mcholC.
mexw64,12288,2013-04-09
............................\.......\
mcholinc.m,539,2013-04-09
............................\.......\
minFunc.m,42489,2013-04-09
............................\.......\
minFunc_processInputOptions.m,3551,2013-04-09
............................\.......\
polyinterp.m,4073,2013-04-09
............................\.......\precondDiag.
m,41,2013-04-09
............................\.......\precondTriu.
m,50,2013-04-09
............................\.......\precondTriuDiag.
m,59,2013-04-09
............................\.......\
rosenbrock.m,1074,2013-04-09
............................\.......\
taylorModel.m,677,2013-04-09
............................\.......\
WolfeLineSearch.m,11106,2013-04-09
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sampleIMAGES.m,2870,2014-04-06
............................\
sparseAutoencoderCost.m,4729,2014-04-10
............................\
train.m,5924,2013-04-22
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Stanford depth learning materials.pdf,9884090,2014-04-13
