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Deep Learning Toolbox

XIXI_Hong
2013-12-30 00:25:45
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Description

Deep learning kit, content DBN,CNN, and so on. In 2006, Canada University of Toronto Professor and leading authority in the field of machine learning Geoffrey Hinton and his student RuslanSalakhutdinov an article was published in the journal Science, opened a deep wave of study in academia and industry. This article articles has two a main views: 1) more implicit layer of artificial neural network has excellent of features learning capacity, learning get of features on data has more nature of portrayed, thereby conducive to Visual of or classification; 2) depth neural network in training Shang of difficulty, can through "by layer initial of" (layer-wise pre-training) to effective overcome, in this article articles in the, by layer initial of is through no supervision learning achieved of.
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File list

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Name Size Date
01.97 kB
.travis.yml126.00 B2013-11-26 02:52
01.97 kB
caeapplygrads.m1.19 kB2013-11-26 02:52
caebbp.m917.00 B2013-11-26 02:52
caebp.m1,011.00 B2013-11-26 02:52
caedown.m259.00 B2013-11-26 02:52
caeexamples.m754.00 B2013-11-26 02:52
caenumgradcheck.m3.53 kB2013-11-26 02:52
caesdlm.m845.00 B2013-11-26 02:52
caetrain.m1.12 kB2013-11-26 02:52
caeup.m489.00 B2013-11-26 02:52
max3d.m173.00 B2013-11-26 02:52
scaesetup.m1.89 kB2013-11-26 02:52
scaetrain.m270.00 B2013-11-26 02:52
01.97 kB
cnnapplygrads.m575.00 B2013-11-26 02:52
cnnbp.m2.09 kB2013-11-26 02:52
cnnff.m1.73 kB2013-11-26 02:52
cnnnumgradcheck.m3.51 kB2013-11-26 02:52
cnnsetup.m1.90 kB2013-11-26 02:52
cnntest.m193.00 B2013-11-26 02:52
cnntrain.m845.00 B2013-11-26 02:52
CONTRIBUTING.md544.00 B2013-11-26 02:52
01.97 kB
dbnsetup.m557.00 B2013-11-26 02:52
dbntrain.m232.00 B2013-11-26 02:52
dbnunfoldtonn.m425.00 B2013-11-26 02:52
rbmdown.m90.00 B2013-11-26 02:52
rbmtrain.m1.37 kB2013-11-26 02:52
rbmup.m89.00 B2013-11-26 02:52
LICENSE1.28 kB2013-11-26 02:52
01.97 kB
nnapplygrads.m628.00 B2013-11-26 02:52
nnbp.m1.60 kB2013-11-26 02:52
nnchecknumgrad.m704.00 B2013-11-26 02:52
nneval.m772.00 B2013-11-26 02:52
nnff.m1.81 kB2013-11-26 02:52
nnpredict.m188.00 B2013-11-26 02:52
nnsetup.m1.80 kB2013-11-26 02:52
nntest.m180.00 B2013-11-26 02:52
nntrain.m2.36 kB2013-11-26 02:52
nnupdatefigures.m1.81 kB2013-11-26 02:52
README.md8.38 kB2013-11-26 02:52
README_header.md2.06 kB2013-11-26 02:52
REFS.md950.00 B2013-11-26 02:52
01.97 kB
saesetup.m132.00 B2013-11-26 02:52
saetrain.m308.00 B2013-11-26 02:52
create_readme.sh744.00 B2013-11-26 02:52
01.97 kB
mnist_uint8.mat14.05 MB2013-11-26 02:52
01.97 kB
runalltests.m165.00 B2013-11-26 02:52
test_cnn_gradients_are_numerically_correct.m552.00 B2013-11-26 02:52
test_example_CNN.m979.00 B2013-11-26 02:52
test_example_DBN.m1.01 kB2013-11-26 02:52
test_example_NN.m3.17 kB2013-11-26 02:52
test_example_SAE.m934.00 B2013-11-26 02:52
test_nn_gradients_are_numerically_correct.m749.00 B2013-11-26 02:52
01.97 kB
allcomb.m2.56 kB2013-11-26 02:52
expand.m1.91 kB2013-11-26 02:52
flicker.m208.00 B2013-11-26 02:52
flipall.m80.00 B2013-11-26 02:52
fliplrf.m543.00 B2013-11-26 02:52
flipudf.m576.00 B2013-11-26 02:52
im2patches.m313.00 B2013-11-26 02:52
makeLMfilters.m1.85 kB2013-11-26 02:52
normalize.m97.00 B2013-11-26 02:52
patches2im.m242.00 B2013-11-26 02:52
randcorr.m283.00 B2013-11-26 02:52
randp.m2.03 kB2013-11-26 02:52
rnd.m49.00 B2013-11-26 02:52
sigm.m48.00 B2013-11-26 02:52
sigmrnd.m126.00 B2013-11-26 02:52
softmax.m256.00 B2013-11-26 02:52
tanh_opt.m54.00 B2013-11-26 02:52
visualize.m1.05 kB2013-11-26 02:52
whiten.m183.00 B2013-11-26 02:52
zscore.m137.00 B2013-11-26 02:52
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Comments

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Minimum:15 words, Maximum:160 words
zdw
2015-04-28

代码还是不错的,希望有大神给代码做些注释,多附上一些使用例子。

xiaomath
2016-04-18

这个程序学习使用不错,Deep learning toolbox

vip_zpb
2016-08-24

Thanks so much!Deep learning toolbox

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Deep Learning Toolbox (14.06 MB)

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