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斯坦福CNN基础知识教程\Single-Layer-CNN-on-MNIST-master\.gitattributes
.....................\................................\cnnConvolve.m
.....................\................................\cnnPool.m
.....................\................................\.ommon\loadMNISTImages.m
.....................\................................\......\loadMNISTLabels.m
.....................\................................\......\t10k-images-idx3-ubyte
.....................\................................\......\t10k-labels-idx1-ubyte
.....................\................................\......\train-images-idx3-ubyte
.....................\................................\......\train-labels-idx1-ubyte
.....................\................................\myCNN.m
.....................\................................\README.md
.....................\stanford_dl_ex-master\cnn\cnnConvolve.m
.....................\.....................\...\cnnCost.m
.....................\.....................\...\cnnExercise.m
.....................\.....................\...\cnnInitParams.m
.....................\.....................\...\cnnParamsToStack.m
.....................\.....................\...\cnnPool.asv
.....................\.....................\...\cnnPool.m
.....................\.....................\...\cnnTrain.m
.....................\.....................\...\computeNumericalGradient.m
.....................\.....................\...\minFuncSGD.m
.....................\.....................\.ommon\display_network.m
.....................\.....................\......\loadMNISTImages.m
.....................\.....................\......\loadMNISTLabels.m
.....................\.....................\......\minFunc_2012\autoDif\autoGrad.m
.....................\.....................\......\............\.......\autoHess.m
.....................\.....................\......\............\.......\autoHv.m
.....................\.....................\......\............\.......\autoTensor.m
.....................\.....................\......\............\.......\derivativeCheck.m
.....................\.....................\......\............\.......\fastDerivativeCheck.m
.....................\.....................\......\............\example_derivativeCheck.m
.....................\.....................\......\............\example_minFunc.m
.....................\.....................\......\............\logisticExample\example_minFunc_LR.m
.....................\.....................\......\............\...............\LogisticDiagPrecond.m
.....................\.....................\......\............\...............\LogisticHv.m
.....................\.....................\......\............\...............\LogisticLoss.m
.....................\.....................\......\............\...............\mylogsumexp.m
.....................\.....................\......\............\mexAll.m
.....................\.....................\......\............\.inFunc\ArmijoBacktrack.m
.....................\.....................\......\............\.......\compiled\lbfgsAddC.mexa64
.....................\.....................\......\............\.......\........\lbfgsAddC.mexmaci64
.....................\.....................\......\............\.......\........\lbfgsAddC.mexw64
.....................\.....................\......\............\.......\........\lbfgsC.mexa64
.....................\.....................\......\............\.......\........\lbfgsC.mexglx
.....................\.....................\......\............\.......\........\lbfgsC.mexmac
.....................\.....................\......\............\.......\........\lbfgsC.mexmaci
.....................\.....................\......\............\.......\........\lbfgsC.mexmaci64
.....................\.....................\......\............\.......\........\lbfgsC.mexw32
.....................\.....................\......\............\.......\........\lbfgsC.mexw64
.....................\.....................\......\............\.......\........\lbfgsProdC.mexa64
.....................\..

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