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斯坦福深度學習教程中關于stacked autoencoder的練習代碼,源代碼中需要補全的地方,全部把代碼補完整,把手寫體識別的數據庫放到路徑下,可以直接運行
代碼片段和文件信息
function?[]?=?checkStackedAECost()
%?Check?the?gradients?for?the?stacked?autoencoder
%
%?In?general?we?recommend?that?the?creation?of?such?files?for?checking
%?gradients?when?you?write?new?cost?functions.
%
%%?Setup?random?data?/?small?model
inputSize?=?4;
hiddenSize?=?5;
lambda?=?0.01;
data???=?randn(inputSize?5);
labels?=?[?1?2?1?2?1?];
numClasses?=?2;
stack?=?cell(21);
stack{1}.w?=?0.1?*?randn(3?inputSize);
stack{1}.b?=?zeros(3?1);
stack{2}.w?=?0.1?*?randn(hiddenSize?3);
stack{2}.b?=?zeros(hiddenSize?1);
softmaxTheta?=?0.005?*?randn(hiddenSize?*?numClasses?1);
[stackparams?netconfig]?=?stack2params(stack);
stackedAETheta?=?[?softmaxTheta?;?stackparams?];
[cost?grad]?=?stackedAECost(stackedAETheta?inputSize?hiddenSize?...
?????????????????????????????numClasses?netcon
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
????.......??????1695??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\checkStackedAECost.m
????.......??????1531??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\computeNumericalGradient.m
????.......??????1322??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\feedForwardAutoencoder.m
????.......???????622??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\initializeParameters.m
????.......???????811??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\loadMNISTImages.m
????.......???????516??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\loadMNISTLabels.m
????.......??????3143??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\ArmijoBacktrack.m
????.......???????807??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\autoGrad.m
????.......???????901??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\autoHess.m
????.......???????307??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\autoHv.m
????.......???????870??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\autoTensor.m
????.......???????374??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\callOutput.m
????.......??????1763??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\conjGrad.m
????.......???????953??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\dampedUpdate.m
????.......??????2421??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\example_minFunc.m
????.......??????1556??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\example_minFunc_LR.m
????.......???????106??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\isLegal.m
????.......???????885??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgs.m
????.......??????2293??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.c
????.......??????7707??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexa64
????.......??????7733??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexglx
????.......??????9500??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexmac
????.......?????12660??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexmaci
????.......??????8800??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexmaci64
????.......??????7168??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexw32
????.......??????9728??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsC.mexw64
????.......???????594??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\lbfgsUpdate.m
????.......???????397??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\logistic\LogisticDiagPrecond.m
????.......???????208??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\logistic\LogisticHv.m
????.......???????625??2013-04-09?11:03??Exercise7?Implement?deep?networks?for?digit?classification\minFunc\logistic\LogisticLoss.m
............此處省略38個文件信息
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