深度学习 matlab 工具箱

深度学习工具箱。CNN、 神经网络、 CAE、 AE DBN 算法包含代码。基于 MNIST 数据集。手写数字识别。

.travis.yml
CAE
caeapplygrads.m
caebbp.m
caebp.m
caedown.m
caeexamples.m
caenumgradcheck.m
caesdlm.m
caetrain.m
caeup.m
max3d.m
scaesetup.m
scaetrain.m
CNN
cnnapplygrads.m
cnnbp.m
cnnff.m
cnnnumgradcheck.m
cnnsetup.m
cnntest.m
cnntrain.m
CONTRIBUTING.md
create_readme.sh
data
mnist_uint8.mat
DBN
dbnsetup.m
dbntrain.m
dbnunfoldtonn.m
rbmdown.m
rbmtrain.m
rbmup.m
LICENSE
NN
mnist_uint8.mat
nnapplygrads.m
nnbp.m
nnchecknumgrad.m
nneval.m
nnff.m
nnpredict.m
nnsetup.m
nntest.m
nntrain.m
nnupdatefigures.m
test_example_NN.m
README.md
README_header.md
REFS.md
SAE
saesetup.m
saetrain.m
tests
mnist_uint8.mat
runalltests.m
test_cnn_gradients_are_numerically_correct.m
test_example_CNN.m
test_example_DBN.m
test_example_NN.m
test_example_SAE.m
test_nn_gradients_are_numerically_correct.m
util
allcomb.m
expand.m
flicker.m
flipall.m
fliplrf.m
flipudf.m
im2patches.m
isOctave.m
makeLMfilters.m
myOctaveVersion.m
normalize.m
patches2im.m
randcorr.m
randp.m
rnd.m
sigm.m
sigmrnd.m
softmax.m
tanh_opt.m
visualize.m
whiten.m
zscore.m