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Implementation of handwritten digit recognition using Logistic regression and Neural networks

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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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