文件名称:UFLDL

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UFLDL作业,以下作业均已完整做好,build deep network,vectorization,softmax,working with large images,pca。-UFLDL,build deep network,vectorization,softmax,working with large images,pca
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下载文件列表





UFLDL作业上传\build deep networks作业\checkStackedAECost.m

.............\.......................\computeNumericalGradient.m

.............\.......................\feedForwardAutoencoder.m

.............\.......................\initializeParameters.m

.............\.......................\loadMNISTImages.m

.............\.......................\loadMNISTLabels.m

.............\.......................\minFunc\ArmijoBacktrack.m

.............\.......................\.......\autoGrad.m

.............\.......................\.......\autoHess.m

.............\.......................\.......\autoHv.m

.............\.......................\.......\autoTensor.m

.............\.......................\.......\callOutput.m

.............\.......................\.......\conjGrad.m

.............\.......................\.......\dampedUpdate.m

.............\.......................\.......\example_minFunc.m

.............\.......................\.......\example_minFunc_LR.m

.............\.......................\.......\isLegal.m

.............\.......................\.......\lbfgs.m

.............\.......................\.......\lbfgsC.c

.............\.......................\.......\lbfgsC.mexa64

.............\.......................\.......\lbfgsC.mexglx

.............\.......................\.......\lbfgsC.mexmac

.............\.......................\.......\lbfgsC.mexmaci

.............\.......................\.......\lbfgsC.mexmaci64

.............\.......................\.......\lbfgsC.mexw32

.............\.......................\.......\lbfgsC.mexw64

.............\.......................\.......\lbfgsUpdate.m

.............\.......................\.......\.ogistic\LogisticDiagPrecond.m

.............\.......................\.......\........\LogisticHv.m

.............\.......................\.......\........\LogisticLoss.m

.............\.......................\.......\........\mexutil.c

.............\.......................\.......\........\mexutil.h

.............\.......................\.......\........\mylogsumexp.m

.............\.......................\.......\........\repmatC.c

.............\.......................\.......\........\repmatC.dll

.............\.......................\.......\........\repmatC.mexglx

.............\.......................\.......\........\repmatC.mexmac

.............\.......................\.......\mchol.m

.............\.......................\.......\mcholC.c

.............\.......................\.......\mcholC.mexmaci64

.............\.......................\.......\mcholC.mexw32

.............\.......................\.......\mcholC.mexw64

.............\.......................\.......\mcholinc.m

.............\.......................\.......\minFunc.m

.............\.......................\.......\minFunc_processInputOptions.m

.............\.......................\.......\polyinterp.m

.............\.......................\.......\precondDiag.m

.............\.......................\.......\precondTriu.m

.............\.......................\.......\precondTriuDiag.m

.............\.......................\.......\rosenbrock.m

.............\.......................\.......\taylorModel.m

.............\.......................\.......\WolfeLineSearch.m

.............\.......................\params2stack.m

.............\.......................\softmaxCost.m

.............\.......................\softmaxTrain.m

.............\.......................\sparseAutoencoderCost.m

.............\.......................\stack2params.m

.............\.......................\stackedAECost.m

.............\.......................\stackedAEExercise.m

.............\.......................\stackedAEPredict.m

.............\ExerciseVectorization导师写\checkNumericalGradient.m

.............\...........................\computeNumericalGradient.m

.............\...........................\display_network.m

.............\...........................\initializeParameters.m

.............\...........................\loadMNISTImages.m

.............\...........................\loadMNISTLabels.m

.............\...........................\minFunc\ArmijoBacktrack.m

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