2006 A fast learning algorithm for deep belief nets

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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