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DeepLearn Toolbox

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2014-10-16 10:39:59
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Description

Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain's apparent deep (layered, hierarchical) architecture. A good overview of the theory of Deep Learning theory is Learning Deep Architectures for AI


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Name Size Date
01.97 kB
.travis.yml249.00 B2014-05-11 08:46
01.97 kB
caeapplygrads.m1.19 kB2014-05-11 08:46
caebbp.m917.00 B2014-05-11 08:46
caebp.m1,011.00 B2014-05-11 08:46
caedown.m259.00 B2014-05-11 08:46
caeexamples.m754.00 B2014-05-11 08:46
caenumgradcheck.m3.53 kB2014-05-11 08:46
caesdlm.m845.00 B2014-05-11 08:46
caetrain.m1.12 kB2014-05-11 08:46
caeup.m489.00 B2014-05-11 08:46
max3d.m173.00 B2014-05-11 08:46
scaesetup.m1.89 kB2014-05-11 08:46
scaetrain.m270.00 B2014-05-11 08:46
01.97 kB
cnnapplygrads.m575.00 B2014-05-11 08:46
cnnbp.m2.09 kB2014-05-11 08:46
cnnff.m1.73 kB2014-05-11 08:46
cnnnumgradcheck.m3.35 kB2014-05-11 08:46
cnnsetup.m1.97 kB2014-05-11 08:46
cnntest.m193.00 B2014-05-11 08:46
cnntrain.m845.00 B2014-05-11 08:46
CONTRIBUTING.md544.00 B2014-05-11 08:46
01.97 kB
dbnsetup.m557.00 B2014-05-11 08:46
dbntrain.m232.00 B2014-05-11 08:46
dbnunfoldtonn.m425.00 B2014-05-11 08:46
rbmdown.m90.00 B2014-05-11 08:46
rbmtrain.m1.37 kB2014-05-11 08:46
rbmup.m89.00 B2014-05-11 08:46
LICENSE1.28 kB2014-05-11 08:46
01.97 kB
nnapplygrads.m628.00 B2014-05-11 08:46
nnbp.m1.60 kB2014-05-11 08:46
nnchecknumgrad.m704.00 B2014-05-11 08:46
nneval.m811.00 B2014-05-11 08:46
nnff.m1.81 kB2014-05-11 08:46
nnpredict.m192.00 B2014-05-11 08:46
nnsetup.m1.80 kB2014-05-11 08:46
nntest.m184.00 B2014-05-11 08:46
nntrain.m2.36 kB2014-05-11 08:46
nnupdatefigures.m1.81 kB2014-05-11 08:46
README.md8.53 kB2014-05-11 08:46
README_header.md2.20 kB2014-05-11 08:46
REFS.md950.00 B2014-05-11 08:46
01.97 kB
saesetup.m132.00 B2014-05-11 08:46
saetrain.m308.00 B2014-05-11 08:46
create_readme.sh744.00 B2014-05-11 08:46
01.97 kB
mnist_uint8.mat14.05 MB2014-05-11 08:46
01.97 kB
runalltests.m165.00 B2014-05-11 08:46
test_cnn_gradients_are_numerically_correct.m552.00 B2014-05-11 08:46
test_example_CNN.m981.00 B2014-05-11 08:46
test_example_DBN.m1.01 kB2014-05-11 08:46
test_example_NN.m3.17 kB2014-05-11 08:46
test_example_SAE.m934.00 B2014-05-11 08:46
test_nn_gradients_are_numerically_correct.m749.00 B2014-05-11 08:46
01.97 kB
allcomb.m2.56 kB2014-05-11 08:46
expand.m1.91 kB2014-05-11 08:46
flicker.m208.00 B2014-05-11 08:46
flipall.m80.00 B2014-05-11 08:46
fliplrf.m543.00 B2014-05-11 08:46
flipudf.m576.00 B2014-05-11 08:46
im2patches.m313.00 B2014-05-11 08:46
isOctave.m108.00 B2014-05-11 08:46
makeLMfilters.m1.85 kB2014-05-11 08:46
myOctaveVersion.m169.00 B2014-05-11 08:46
normalize.m97.00 B2014-05-11 08:46
patches2im.m242.00 B2014-05-11 08:46
randcorr.m283.00 B2014-05-11 08:46
randp.m2.03 kB2014-05-11 08:46
rnd.m49.00 B2014-05-11 08:46
sigm.m48.00 B2014-05-11 08:46
sigmrnd.m126.00 B2014-05-11 08:46
softmax.m256.00 B2014-05-11 08:46
tanh_opt.m54.00 B2014-05-11 08:46
visualize.m1.05 kB2014-05-11 08:46
whiten.m183.00 B2014-05-11 08:46
zscore.m137.00 B2014-05-11 08:46
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DeepLearn Toolbox (14.06 MB)

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