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classification

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Implementation of handwritten digit recognition using Logistic regression and Neural networks

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Name		Name	Last commit message	Last commit date
activation.m		activation.m
allcomb.m		allcomb.m
cnnapplygrads.m		cnnapplygrads.m
cnnbp.m		cnnbp.m
cnnff.m		cnnff.m
cnnnumgradcheck.m		cnnnumgradcheck.m
cnnsetup.m		cnnsetup.m
cnntest.m		cnntest.m
cnntrain.m		cnntrain.m
expand.m		expand.m
flicker.m		flicker.m
flipall.m		flipall.m
fliplrf.m		fliplrf.m
flipudf.m		flipudf.m
im2patches.m		im2patches.m
isOctave.m		isOctave.m
loadMNISTImages.m		loadMNISTImages.m
loadMNISTLabels.m		loadMNISTLabels.m
makeLMfilters.m		makeLMfilters.m
myOctaveVersion.m		myOctaveVersion.m
nn.m		nn.m
normalize.m		normalize.m
patches2im.m		patches2im.m
proj3.m		proj3.m
randcorr.m		randcorr.m
randp.m		randp.m
rnd.m		rnd.m
sigm.m		sigm.m
sigmrnd.m		sigmrnd.m
softmax.m		softmax.m
tanh_opt.m		tanh_opt.m
test.m		test.m
test_example_CNN.m		test_example_CNN.m
toy.m		toy.m
visualize.m		visualize.m
whiten.m		whiten.m
zscore.m		zscore.m

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Implementation of handwritten digit recognition using Logistic regression and Neural networks

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