Description: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization. Stanford deep learning tutorials, exercises 2 code
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Exercise2 Vectorization\checkNumericalGradient.m
.......................\computeNumericalGradient.asv
.......................\computeNumericalGradient.m
.......................\display_network.m
.......................\initializeParameters.m
.......................\loadMNISTImages.m
.......................\loadMNISTLabels.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.m
.......................\train.m
.......................\weights.jpg
.......................\minFunc\logistic
.......................\minFunc
Exercise2 Vectorization
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