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Learning-color-features-with-SAE

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  • Update : 2016-04-25
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windows sae MATLAB
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Exercise8 Learning color features with Sparse Autoencoders\computeNumericalGradient.m
..........................................................\displayColorNetwork.m
..........................................................\initializeParameters.m
..........................................................\linearDecoderExercise.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
.....................................
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