文件名称:Sparse-Autoencoder

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稀疏编码算法是一种无监督学习方法,它用来寻找一组“超完备”基向量来更高效地表示样本数据-2006 A fast learning algorithm for deep belief nets
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下载文件列表





Sparse Autoencoder\checkNumericalGradient.m

..................\computeNumericalGradient.asv

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

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

..................\IMAGES.mat

..................\initializeParameters.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

..................\sampleIMAGES.m

..................\sparseAutoencoderCost.asv

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

..................\train.m

..................\weights.jpg

..................\minFunc\logistic

..................\minFunc

Sparse Autoencoder

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