文件名称:CNN_EXAMPLE

  • 所属分类:
  • 汇编语言
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-05-04
  • 文件大小:
  • 40.8mb
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  • 0次
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  • 青***
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改程序来自斯坦福大学的cnn教程。帮助理解cnn的构造过程。赞- U6539 u7A0B u5E8F u6765 u81EA u65AF u5766 u798F u5927 u5B66 u7684cnn u6559 u7A0B u3002 u5E2E u52A9 u7406 u89E3cnn u7684 u6784 u9020 u8FC7 u7A0B u3002 u8D5E  UFF01 uFF01 uFF01
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下载文件列表





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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