https://github.com/Microsoft/CNTK

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Revision Author Date Message Commit Date
f292911 updated to be compatible w beta 11 17 February 2017, 13:23:05 UTC
9931b3a fixed some issues 17 February 2017, 13:22:47 UTC
8f18ffe also save a base version of the model 24 January 2017, 14:49:27 UTC
b6defc5 included python-based (probably very slow) beam search implementation 24 January 2017, 14:45:28 UTC
da2dd66 small change to validation mb data due to how the reader works now 23 January 2017, 12:57:23 UTC
e362817 some fixes to make sure it works when not using an embedding and when not using attention 19 January 2017, 10:44:41 UTC
33e4683 work-around for find_by_name bug 17 January 2017, 10:51:29 UTC
56d35c3 Merge branch 'wdarling/lstmaux' of https://github.com/Microsoft/CNTK into wdarling/lstmaux Conflicts: Examples/SequenceToSequence/CMUDict/Python/Sequence2Sequence.py 17 January 2017, 10:31:52 UTC
e8a412f some updates to keep up with the changes 17 January 2017, 10:23:22 UTC
8bc9ac6 moved back to non-local blocks 14 December 2016, 10:50:50 UTC
05dd211 added embedding of inputs 13 December 2016, 14:43:29 UTC
7878eed back to correct blocks lib 06 December 2016, 12:58:12 UTC
87729e3 updated test to be more precise; made some changes to test function to work more nicely 06 December 2016, 12:56:53 UTC
cc1bbc0 adding comments to clarify the role of the decoder and where it is part of the model vs where it's not 06 December 2016, 12:31:34 UTC
83f61e3 take model loading out of write function 06 December 2016, 12:09:22 UTC
cb39afc added TODO for adding axis to softmax 06 December 2016, 11:04:31 UTC
67f1514 moved input modeling outside of the create_model() function 30 November 2016, 10:28:50 UTC
8a74cc1 Merge branch 'wdarling/lstmaux' of https://github.com/Microsoft/cntk into wdarling/lstmaux Conflicts: Examples/SequenceToSequence/CMUDict/Python/Sequence2Sequence.py Examples/SequenceToSequence/CMUDict/Python/attention.py 30 November 2016, 09:42:46 UTC
729355c fixed attention implementation; attention is used for each layer but it of course needs to be one shared attention weight vector 30 November 2016, 09:40:26 UTC
c9078bc change behavior of zeroing-out non-used attention weights 29 November 2016, 11:51:34 UTC
e9b7ebf fixed attention visualization for interactive sessions 27 November 2016, 14:08:35 UTC
2de707f bug fixes; changed way that attention weights are calculated 27 November 2016, 13:32:15 UTC
fcf22ae added interactive session with attention logging 27 November 2016, 10:47:04 UTC
78064ba more CR-based changes 24 November 2016, 14:56:02 UTC
d871301 addressing more CR comments including adding an example word translation function using numpy inputs 24 November 2016, 14:23:35 UTC
9caa462 addressed a whole bunch of CR comments 23 November 2016, 16:36:24 UTC
d368435 first set of fixes for addressing CR comments 23 November 2016, 10:27:28 UTC
8ee8f09 point to real blocks lib 22 November 2016, 11:30:53 UTC
2e7120a updated test for new version of seq2seq 22 November 2016, 11:26:36 UTC
4ee0027 Merge branch 'wdarling/lstmaux' of https://github.com/Microsoft/CNTK into wdarling/lstmaux 22 November 2016, 10:42:48 UTC
bbfd42c fix paths 22 November 2016, 10:42:03 UTC
db68246 renamed Attention.py to attention.py 22 November 2016, 10:39:24 UTC
8f181f7 added attention implementation 22 November 2016, 10:25:00 UTC
1e8309f updated Sequence2Sequence example to use blocks/layers library and added attention 22 November 2016, 10:24:45 UTC
b5c03e4 updated blocks to support aux in LSTM 22 November 2016, 10:06:51 UTC
1861a2a Update README.md 22 November 2016, 01:38:19 UTC
dbfb1b5 Integrate zhouwang/evalwrapper-multioutputs into master 21 November 2016, 22:40:42 UTC
f4a16b4 Merge remote-tracking branch 'origin/master' into mahilleb/PostReleaseMerges 21 November 2016, 21:08:20 UTC
b22b4bd Revert "add hyper parameter tuning tool as a sub module to CNTK." This reverts commit 4442bfc1d5688d565b526d0b4026fc84182155ef. 21 November 2016, 21:00:12 UTC
4442bfc add hyper parameter tuning tool as a sub module to CNTK. 21 November 2016, 20:03:46 UTC
cc9a5e7 added unit tests and update baseline 21 November 2016, 19:23:44 UTC
971778d fix wrong mapping between node name and value in case of multiple outputs 21 November 2016, 19:20:23 UTC
75c4229 Update tutorials 21 November 2016, 18:53:52 UTC
7d3ec64 update baseline 21 November 2016, 14:54:52 UTC
f043a67 Removed testing for Outcome 21 November 2016, 14:54:52 UTC
7fbb791 corrected yml test setup 21 November 2016, 14:54:52 UTC
ef18e10 added output cardinality tests 21 November 2016, 14:54:51 UTC
1faa42f Moved exception testing to test suite. Addressed all but 1 code review comment. Perf change also for ParallelExtractHwc. 21 November 2016, 14:54:51 UTC
9573060 Adding test baseline results 21 November 2016, 14:54:51 UTC
46a56fc removed hard tabs 21 November 2016, 14:54:51 UTC
dfbe059 updated references 21 November 2016, 14:54:51 UTC
45ceb56 Cleaned up image API call, turned into test suite 21 November 2016, 14:54:51 UTC
97e60b5 updated according to CR comments 21 November 2016, 14:54:51 UTC
896837f Changes to EvalWrapper, should not be in final checkin 21 November 2016, 14:54:50 UTC
d39a2b6 removing surplus namespace opening 21 November 2016, 14:54:50 UTC
98107c7 Changing loop structure to speed up 21 November 2016, 14:54:50 UTC
86863f6 added changes requested in code review 21 November 2016, 14:54:50 UTC
a0b0a5c Cleaned up code, remove debug outputs 21 November 2016, 14:54:50 UTC
ecc13f9 first version of new EvaluateImage API, still with lots of debug output 21 November 2016, 14:54:49 UTC
09f2dfd Examples/Image/Classification/ResNet/Python/README.md: tune 21 November 2016, 14:22:28 UTC
8c27d65 Grammar 21 November 2016, 14:22:20 UTC
d3f3235 Examples/Image/Classification/ResNet/Python/run_Distributed.py: allow to run on Linux 21 November 2016, 14:22:12 UTC
f0ebffc Examples/Image/Classification/*/Python/: fix broken example on Linux (wrong path data sets) 21 November 2016, 14:22:03 UTC
afd0a87 Scripts/install/linux/install-cntk.sh: fix conda env update 21 November 2016, 14:21:43 UTC
bbc8c6a bindings/python/doc/gettingstarted.rst: fix example 21 November 2016, 14:21:43 UTC
a80deb4 bindings/python/doc/examples.rst: updated link for CIFAR ResNet 21 November 2016, 14:21:43 UTC
582420e Scripts/install/linux/install-cntk.sh: make executable 21 November 2016, 14:21:43 UTC
ce301e2 Bump version 21 November 2016, 14:21:43 UTC
746eb2d Fixing baseline 21 November 2016, 11:26:57 UTC
6572d53 Fixing defaults for the composite reader/image deserializer 21 November 2016, 09:14:06 UTC
bcf05b4 Merge branch 'thilow/FixDenseTimesSparseAsBlocksparse4' of https://github.com/Microsoft/cntk 19 November 2016, 20:53:49 UTC
a06c88c added TempDeviceBuffer to CommonMatrix.h 19 November 2016, 20:53:24 UTC
913dcd3 fixes for dense times sparse 19 November 2016, 20:53:24 UTC
72ba3d3 added TempDeviceBuffer to CommonMatrix.h 19 November 2016, 20:51:42 UTC
d60e397 Update wrt. deleted examples; cifar_convnet_distributed_test.py: skip on Windows 19 November 2016, 13:38:31 UTC
d413fdf Fix run_Distributed to use the right script 19 November 2016, 02:51:13 UTC
13e1626 Merge branch 'master' into kedeng/distExample 19 November 2016, 02:29:58 UTC
aebe931 Fix broken ConvNet examples 19 November 2016, 00:42:52 UTC
8dec190 Integrate ebarsoum/convpad into master 19 November 2016, 00:40:19 UTC
95fa261 Update test expectation after reduced epochs 19 November 2016, 00:03:18 UTC
07db03a Update README.md 18 November 2016, 23:26:21 UTC
19b357c Tweak text and test 18 November 2016, 23:19:25 UTC
ea432d7 Update ConvNet example and test 18 November 2016, 23:12:25 UTC
085ecbe replace all global default with its accessor 18 November 2016, 23:00:43 UTC
160248e fixes for dense times sparse 18 November 2016, 22:57:54 UTC
7657d9d Fix default option. 18 November 2016, 22:54:54 UTC
a87795b Update resnet python samples with distributed 18 November 2016, 22:23:24 UTC
7e325c8 Fix Multiverso build error in Release_NoOpt 18 November 2016, 19:13:38 UTC
b052cec Tutorials: more fixes 18 November 2016, 18:15:15 UTC
999a38a Integrate mahilleb/PySamplesTune into master 18 November 2016, 18:02:47 UTC
4882628 Merging master 18 November 2016, 15:35:29 UTC
16da600 Integrate eldak/increaseStackSize into master 18 November 2016, 14:50:26 UTC
e442dd4 Tutorials: more fixes 18 November 2016, 13:47:17 UTC
6d720f3 Removing block momentum example for now 18 November 2016, 13:16:23 UTC
efb155b Increasing stack size for tests 18 November 2016, 12:23:12 UTC
f5f2224 Fix NDMask shapes; allow sparse data with dense inputs; skip sparse tests on GPU 18 November 2016, 11:21:18 UTC
49125b5 Adapting to stricter shape checks 18 November 2016, 11:21:17 UTC
41bf56c Fix tests after rebase 18 November 2016, 11:21:16 UTC
aade2b5 Clean up 18 November 2016, 11:21:14 UTC
9c2ecb7 Make training_parameter_schedule more robust 18 November 2016, 11:21:13 UTC
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