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platform/upstream/caffeonacl
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accepted/tizen_5.5_unified
accepted/tizen_5.5_unified_mobile_hotfix
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Domain: Machine Learning / ML Framework; Licenses: BSD-2-Clause;
Inki Dae <inki.dae@samsung.com>
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mnist
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Lines
2014-09-01
make adagrad/nesterov train scripts follow new "run-from-root"
Jeff Donahue
2
-4
/
+4
2014-09-01
Add "test-on-train" stage to test accuracy on the training data; correct
Jeff Donahue
4
-10
/
+39
2014-09-01
mnist_autoencoder: always compute both cross-entropy loss and L2
Jeff Donahue
1
-4
/
+4
2014-09-01
Re-added solver switch into the new caffe main excutable; fixed AdaGrad MNIST...
qipeng
2
-2
/
+1
2014-09-01
Added sanity check for AdaGradSolver; added MNIST examples for solvers
qipeng
4
-0
/
+38
2014-09-01
use LMDB in mnist autoencoder examples
Jeff Donahue
1
-2
/
+4
2014-08-31
updated lenet_train_test.prototxt + minor correction to create_mnist.sh
Mohamed Omran
2
-4
/
+6
2014-08-31
minor changes to variable names and error messages + set default backed in co...
Mohamed Omran
1
-19
/
+26
2014-08-31
data now written to backend in batches
Mohamed Omran
2
-15
/
+38
2014-08-31
mnist demo now works with lmdb and leveldb (set parameter in create_mnist.sh)...
Mohamed Omran
3
-31
/
+101
2014-08-30
back-merge
Evan Shelhamer
1
-2
/
+2
2014-08-30
[docs] Several documentation fixes
Ozan Çağlayan
1
-2
/
+2
2014-08-28
set examples paths relative to root
Evan Shelhamer
9
-27
/
+27
2014-08-21
upgrade model definitions for transformation params
Evan Shelhamer
3
-7
/
+21
2014-08-13
Add ACCURACY layer and softmax_error output to lenet_consolidated_solver
Jeff Donahue
1
-1
/
+0
2014-08-11
[docs] sorting of examples. if doesn’t work for you, update jekyll.
Sergey Karayev
1
-0
/
+1
2014-08-11
[docs] sorting of examples. if doesn’t work for you, update jekyll.
Sergey Karayev
1
-0
/
+1
2014-08-06
update cli usage in examples
Evan Shelhamer
3
-6
/
+3
2014-08-06
LICENSE governs the whole project so strip file headers
Evan Shelhamer
1
-1
/
+0
2014-08-04
Fix header alphabetization lint errors.
Jeff Donahue
1
-5
/
+5
2014-07-29
Use unified train/test nets in examples.
Jeff Donahue
8
-503
/
+86
2014-07-26
LOG(ERROR)->LOG(FATAL), and misc script changes.
Yangqing Jia
4
-4
/
+7
2014-07-12
back-merging [docs] changes and web demo [example] addition; updating
Sergey Karayev
1
-0
/
+266
2014-07-11
[docs] moved example md’s to examples/**/md’s and added script to gather
Sergey Karayev
1
-0
/
+266
2014-06-20
Now AccuracyLayer only computes accuracy, one should use LossLayers to comput...
Sergio
3
-21
/
+25
2014-05-10
add script to run lenet_consolidated_solver and add comment with results
Jeff Donahue
2
-2
/
+58
2014-05-10
lint and two test_iters in lenet_consolidated_solver
Jeff Donahue
1
-4
/
+9
2014-05-09
add a lenet example of specifying train/test net directly in solver;
Jeff Donahue
1
-0
/
+396
2014-05-09
make solver_mode an enum with CPU and GPU -- fully backwards compatible
Jeff Donahue
2
-3
/
+4
2014-04-18
fix examples path in mnist leveldb sh
Evan Shelhamer
1
-1
/
+1
2014-04-15
mnist_autoencoder_solver cleanup
Jeff Donahue
1
-3
/
+2
2014-04-15
make solver able to compute and display test loss
Jeff Donahue
2
-20
/
+1
2014-04-15
mnist autoencoder test proto bugfix: add sigmoid layer before loss
Jeff Donahue
1
-4
/
+6
2014-04-15
enable DataLayer to output unlabeled data
Jeff Donahue
2
-2
/
+0
2014-04-15
add mnist autoencoder example necessities (sigmoid cross entropy loss
Jeff Donahue
4
-0
/
+418
2014-04-15
rename lenet dir to mnist
Jeff Donahue
7
-0
/
+500
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