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

debuggger / classification Public

Implementation of handwritten digit recognition using Logistic regression and Neural networks

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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