DeepLearningTutorials-master.zip
(预估有个73文件)
DeepLearningTutorials-master
README.rst
2KB
issues_closed
2_RBM_cost_fn.txt
233B
code
logistic_cg.py
10KB
dA.py
14KB
test.py
10KB
utils.py
5KB
mlp.py
14KB
logistic_sgd.py
16KB
cA.py
12KB
rbm.py
20KB
DBN.py
17KB
rnnrbm.py
11KB
convolutional_mlp.py
12KB
hmc
hmc.py
15KB
__init__.py
0B
test_hmc.py
2KB
SdA.py
18KB
doc
mlp.txt
13KB
SdA.txt
9KB
rnnrbm.txt
7KB
references.txt
4KB
LICENSE.txt
1KB
intro.txt
4KB
.templates
layout.html
617B
images
conv_1D_nn.png
17KB
mnist_3.png
417B
sample2.png
22KB
mnist_2.png
487B
DBN3.png
15KB
samples.png
63KB
mnist_0.png
516B
3wolfmoon_output.png
130KB
filters_at_epoch_14.png
78KB
filters_corruption_0.png
79KB
mnist_5.png
531B
mylenet.png
49KB
3wolfmoon.jpg
125KB
mnist_4.png
473B
rnnrbm.svg
73KB
mnist_1.png
526B
filters_corruption_30.png
69KB
markov_chain.png
9KB
sparse_1D_nn.png
12KB
rnnrbm.png
21KB
sample1.png
22KB
rbm.png
13KB
bm.png
15KB
mlp.png
23KB
cnn_explained.png
25KB
scripts
docgen.py
2KB
conf.py
7KB
contents.txt
209B
hmc.txt
16KB
utilities.txt
6KB
Makefile
31B
gettingstarted.txt
29KB
rbm.txt
23KB
lenet.txt
23KB
DBN.txt
12KB
deep.txt
4KB
dA.txt
21KB
logreg.txt
11KB
.travis.yml
3KB
issues_open
1_SdA_performance.txt
242B
5_results.txt
226B
4_RBM_scan.txt
419B
6_benchmarking_pybrain.txt
3KB
3_RBM_scan_GPU.txt
164B
.hgignore
28B
data
training_colorpatches_16x16_demo.mat
5.06MB
download.sh
643B
misc
do_nightly_build
2KB
.gitignore
142B
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