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Deep learning Toolbox

fchris
2014-10-21 01:17:02
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Download(s): 4
Point (s): 2 
Category Category:
AlgorithmAlgorithm MatlabMatlab

Description

Deep learning Matlab toolbox, including Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets.
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File list

Tips: You can preview the content of files by clicking file names^_^
Name Size Date
01.97 kB
01.97 kB
caeapplygrads.m1.19 kB2013-10-22 05:18
caebbp.m917.00 B2013-10-22 05:18
caebp.m1,011.00 B2013-10-22 05:18
caedown.m259.00 B2013-10-22 05:18
caeexamples.m764.00 B2013-10-22 05:18
caenumgradcheck.m3.53 kB2013-10-22 05:18
caesdlm.m845.00 B2013-10-22 05:18
caetrain.m1.12 kB2013-10-22 05:18
caeup.m489.00 B2013-10-22 05:18
max3d.m173.00 B2013-10-22 05:18
scaesetup.m1.89 kB2013-10-22 05:18
scaetrain.m270.00 B2013-10-22 05:18
01.97 kB
cnnapplygrads.m575.00 B2013-10-22 05:18
cnnbp.m2.09 kB2013-10-22 05:18
cnnff.m1.73 kB2013-10-22 05:18
cnnnumgradcheck.m3.51 kB2013-10-22 05:18
cnnsetup.m1.72 kB2013-10-22 05:18
cnntest.m193.00 B2013-10-22 05:18
cnntrain.m845.00 B2013-10-22 05:18
01.97 kB
dbnsetup.m557.00 B2013-10-22 05:18
dbntrain.m232.00 B2013-10-22 05:18
dbnunfoldtonn.m425.00 B2013-10-22 05:18
rbmdown.m90.00 B2013-10-22 05:18
rbmtrain.m1.30 kB2013-10-22 05:18
rbmup.m89.00 B2013-10-22 05:18
LICENSE1.28 kB2013-10-22 05:18
01.97 kB
nnapplygrads.m628.00 B2013-10-22 05:18
nnbp.m1.60 kB2013-10-22 05:18
nnchecknumgrad.m704.00 B2013-10-22 05:18
nneval.m772.00 B2013-10-22 05:18
nnff.m1.81 kB2013-10-22 05:18
nnpredict.m188.00 B2013-10-22 05:18
nnsetup.m1.80 kB2013-10-22 05:18
nntest.m180.00 B2013-10-22 05:18
nntrain.m2.36 kB2013-10-22 05:18
nnupdatefigures.m1.81 kB2013-10-22 05:18
README.md9.81 kB2013-10-22 05:18
README_header.md2.54 kB2013-10-22 05:18
REFS.md950.00 B2013-10-22 05:18
01.97 kB
saesetup.m132.00 B2013-10-22 05:18
saetrain.m308.00 B2013-10-22 05:18
create_readme.sh744.00 B2013-10-22 05:18
01.97 kB
mnist_uint8.mat14.05 MB2013-10-22 05:18
01.97 kB
runalltests.m162.00 B2013-10-22 05:18
test_cnn_gradients_are_numerically_correct.m552.00 B2013-10-22 05:18
test_example_CNN.m979.00 B2013-10-22 05:18
test_example_DBN.m1.01 kB2013-10-22 05:18
test_example_NN.m3.17 kB2013-10-22 05:18
test_example_SAE.m1.86 kB2013-10-22 05:18
test_nn_gradients_are_numerically_correct.m749.00 B2013-10-22 05:18
01.97 kB
allcomb.m2.56 kB2013-10-22 05:18
expand.m1.91 kB2013-10-22 05:18
flicker.m208.00 B2013-10-22 05:18
flipall.m80.00 B2013-10-22 05:18
fliplrf.m543.00 B2013-10-22 05:18
flipudf.m576.00 B2013-10-22 05:18
im2patches.m313.00 B2013-10-22 05:18
makeLMfilters.m1.85 kB2013-10-22 05:18
normalize.m97.00 B2013-10-22 05:18
patches2im.m242.00 B2013-10-22 05:18
randcorr.m283.00 B2013-10-22 05:18
randp.m2.03 kB2013-10-22 05:18
rnd.m49.00 B2013-10-22 05:18
sigm.m48.00 B2013-10-22 05:18
sigmrnd.m126.00 B2013-10-22 05:18
softmax.m256.00 B2013-10-22 05:18
tanh_opt.m54.00 B2013-10-22 05:18
visualize.m1.05 kB2013-10-22 05:18
whiten.m183.00 B2013-10-22 05:18
zscore.m137.00 B2013-10-22 05:18
...
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Deep learning Toolbox (14.06 MB)

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