Commit Graph

153 Commits

Author SHA1 Message Date
ff7e03325a detection exp 2015-05-20 10:06:42 -07:00
516f019ba6 route handles input images well....ish 2015-05-11 13:46:49 -07:00
b0106d7bde probably stuff changed 2015-04-13 14:09:55 -07:00
4f50e29365 big change to images 2015-04-09 15:18:54 -07:00
664c5dd2f2 Subdivisions for batches 2015-03-22 09:56:40 -07:00
dcb000b553 refactoring and added DARK ZONE 2015-03-11 22:20:15 -07:00
0f645836f1 Detection is back, baby\! 2015-02-10 19:41:03 -08:00
979d02126b Generalizing conv layer so deconv is easier 2015-02-09 13:27:58 -08:00
2f62fe33c9 saving weight files as binaries, hell yeah 2015-02-06 18:53:53 -08:00
bfffadc755 Stable place to commit 2015-02-04 12:41:20 -08:00
809f924db2 CUDA so fast 2015-01-22 16:38:24 -08:00
6e1d5b45de fast sort of working 2015-01-19 22:06:18 -08:00
aa5996d58e Faster 2015-01-12 17:27:08 -08:00
79fffcce3c Better imagenet distributed training 2014-12-11 13:15:26 -08:00
cb1f33c6ae Fixed race condition in server 2014-12-08 11:48:57 -08:00
a99050f0c8 Some fixes to momentum 2014-12-07 20:16:21 -08:00
28e2115272 Distributed training 2014-12-07 00:41:26 -08:00
1edcf73a73 Detection good, split up col images 2014-12-03 23:20:29 -08:00
ff67f03476 Starting on server/client 2014-12-03 08:48:07 -08:00
d407bffde9 checkpoint 2014-11-18 13:51:04 -08:00
b13ad6d5fd Can validate on imagenet now 2014-11-05 14:49:58 -08:00
2b2441313b col2im maybe a little faster 2014-10-30 11:28:37 -07:00
af4e4f92dc getting rid of sub_arrays, nvidia driver memory leak 2014-10-27 19:45:06 -07:00
edbccdfcaf Maybe something changed? 2014-10-25 22:04:34 -07:00
5c9a773bb6 Maybe some stuff changed 2014-10-25 17:35:25 -07:00
14303717dc Fast, needs to be faster 2014-10-25 11:57:26 -07:00
158bb1bee9 softmax on gpu 2014-10-21 14:49:18 -07:00
787d534560 Convolutional working on GPU 2014-10-13 00:31:10 -07:00
76ee68f96d Trying some stuff w/ dropout 2014-08-27 19:11:46 -07:00
176d65b765 Nist NIN testing multi-crop 2014-08-11 12:52:07 -07:00
7add111509 maxpool fixed, good on mnist 2014-08-09 08:16:37 -07:00
d9f1b0b16e probably how maxpool layers should be 2014-08-08 12:04:15 -07:00
076009ebe3 Fixed batch stuff in conv layer 2014-07-17 10:14:59 -07:00
1b94df24fd Midway through lots of fixes, checkpoint 2014-07-17 09:05:07 -07:00
70d622ea54 Added batch to col2im, padding option 2014-07-13 22:07:51 -07:00
cd8d53df21 So there WAS this huge bug. Gone now 2014-05-09 15:14:52 -07:00
5ef74c2031 Slowly refactoring and pushing to GPU 2014-05-02 15:20:34 -07:00
00d483697a Small updates 2014-04-30 16:17:40 -07:00
738cd4c2d7 Visualizations? 2014-04-16 17:05:29 -07:00
cc06817efa Attempt at visualizing ImageNet Features 2014-04-11 01:00:27 -07:00
2ea63c0e99 Better VOC handling and resizing 2014-03-12 21:57:34 -07:00
228d3663f8 Extracting features from VOC with temp filters 2014-02-14 16:09:07 -08:00
118bdd6f62 Training on VOC 2014-02-14 10:26:31 -08:00
f7a17f82eb Convolutional layers working w/ matrices 2014-01-28 16:28:42 -08:00
b2b7137b6f About to do something stupid... 2014-01-27 23:16:56 -08:00
ad9dbfe164 CSE546 submission 2013-12-10 10:30:42 -08:00
4bdf96bd6a New data format 2013-12-06 13:26:09 -08:00
b715671988 Works well on MNIST 2013-12-05 13:17:16 -08:00
0d6bb5d44d Working? 2013-12-02 16:41:40 -08:00
2db9fbef2b Parsing, image loading, lots of stuff 2013-11-13 10:50:38 -08:00