GitHub - debuggger/classification: Implementation of handwritten digit recognition using Logistic regression and Neural networks · GitHub

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
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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