function?numgrad?=?computeNumericalGradient（J?theta）
%?numgrad?=?computeNumericalGradient（J?theta）
%?theta:?a?vector?of?parameters
%?J:?a?function?that?outputs?a?real-number.?Calling?y?=?J（theta）?will?return?the
%?function?value?at?theta.?
??
%?Initialize?numgrad?with?zeros
numgrad?=?zeros（size（theta））;

%%?----------?YOUR?CODE?HERE?--------------------------------------
%?Instructions:?
%?Implement?numerical?gradient?checking?and?return?the?result?in?numgrad.??
%?（See?Section?2.3?of?the?lecture?notes.）
%?You?should?write?code?so?that?numgrad（i）?is?（the?numerical?approximation?to）?the?
%?partial?derivative?of?J?with?respect?to?the?i-th?input?argument?evaluated?at?theta.??
%?I.e.?numgrad（i）?should?be?the?（approximately）?the?partial?derivative?of?J?with?
%?respect?to?theta（i）.
%????????

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

????.......??????1531??2013-04-09?11:03??Exercise5?Softmax?Regression\computeNumericalGradient.m

?????文件????????906??2013-04-13?14:31??Exercise5?Softmax?Regression\loadMNISTImages.m

????.......???????516??2013-04-09?11:03??Exercise5?Softmax?Regression\loadMNISTLabels.m

????.......??????3143??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\ArmijoBacktrack.m

????.......???????807??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\autoGrad.m

????.......???????901??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\autoHess.m

????.......???????307??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\autoHv.m

????.......???????870??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\autoTensor.m

????.......???????374??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\callOutput.m

????.......??????1763??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\conjGrad.m

????.......???????953??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\dampedUpdate.m

????.......??????2421??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\example_minFunc.m

????.......??????1556??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\example_minFunc_LR.m

????.......???????106??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\isLegal.m

????.......???????885??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgs.m

????.......??????2293??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.c

????.......??????7707??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexa64

????.......??????7733??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexglx

????.......??????9500??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexmac

????.......?????12660??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexmaci

????.......??????8800??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexmaci64

????.......??????7168??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexw32

????.......??????9728??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsC.mexw64

????.......???????594??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\lbfgsUpdate.m

????.......???????397??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\LogisticDiagPrecond.m

????.......???????208??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\LogisticHv.m

????.......???????625??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\LogisticLoss.m

????.......??????1111??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\mexutil.c

????.......???????309??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\mexutil.h

????.......???????219??2013-04-09?11:03??Exercise5?Softmax?Regression\minFunc\logistic\mylogsumexp.m

............此處省略29個(gè)文件信息