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b6e15f1656
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ZED 3D Camera support added to ./uselib (yolo_console_cpp.exe) example
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2019-03-18 02:48:52 +03:00 |
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b3579380dc
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improve compatibility with c++ compilers, prepare for CMake
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2019-02-15 17:27:12 +01:00 |
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9e07605bc5
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get_connected_workspace_size() and get_convolutional_workspace_size()
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2019-02-08 00:51:20 +03:00 |
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d767e8ca38
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Minor fixes
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2019-02-04 23:29:06 +03:00 |
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c7309c1fdb
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Fixed CRNN (RNN based on Convolution) layer
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2019-02-01 01:30:02 +03:00 |
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640bdbc063
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LSTM, RNN, GRU - use connected_layer that uses cuDNN. Fixed CRNN for conv-layer with cuDNN.
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2019-01-28 23:50:51 +03:00 |
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00b87281f3
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Fixed RNN (RNN, GRU, LSTM) with cuDNN (batch-norm)
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2019-01-27 03:42:44 +03:00 |
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537d135feb
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Improve training performance - batch-norm using cuDNN.
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2018-03-20 02:16:51 +03:00 |
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fc9b867dd9
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🔥 🔥 :dragonite:
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2016-11-16 00:15:46 -08:00 |
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481b57a96a
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So I have this new programming paradigm.......
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2016-09-24 23:12:54 -07:00 |
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73f7aacf35
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better multigpu
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2016-09-20 11:34:49 -07:00 |
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6b38dcdce0
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adding new tiny-yolo
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2016-09-07 22:27:56 -07:00 |
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aebe937710
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what do you even write here?
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2016-08-11 11:54:24 -07:00 |
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9361292c42
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updates
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2016-07-19 14:50:01 -07:00 |
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c7b10ceadb
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so much need to commit
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2016-05-06 16:25:16 -07:00 |
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913d355ec1
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lots of stuff
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2016-01-28 12:30:38 -08:00 |
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1578ec70d7
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idk
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2016-01-18 15:40:14 -08:00 |
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db0397cfaa
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shortcut layers, msr networks
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2015-12-14 11:57:10 -08:00 |
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c2738835f0
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Faster batch normalization
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2015-12-07 17:18:04 -08:00 |
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d00f0a1ccd
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Changes to make routing work better
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2015-07-21 16:09:33 -07:00 |
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ff7e03325a
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detection exp
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2015-05-20 10:06:42 -07:00 |
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516f019ba6
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route handles input images well....ish
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2015-05-11 13:46:49 -07:00 |
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b0106d7bde
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probably stuff changed
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2015-04-13 14:09:55 -07:00 |
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390a0cf923
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not much changed...
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2015-04-11 01:24:07 -07:00 |
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664c5dd2f2
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Subdivisions for batches
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2015-03-22 09:56:40 -07:00 |
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dcb000b553
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refactoring and added DARK ZONE
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2015-03-11 22:20:15 -07:00 |
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2f62fe33c9
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saving weight files as binaries, hell yeah
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2015-02-06 18:53:53 -08:00 |
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bfffadc755
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Stable place to commit
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2015-02-04 12:41:20 -08:00 |
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153705226d
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Bias updates bug fix
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2015-01-27 13:31:06 -08:00 |
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809f924db2
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CUDA so fast
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2015-01-22 16:38:24 -08:00 |
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aa5996d58e
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Faster
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2015-01-12 17:27:08 -08:00 |
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4ab366a805
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some fixes, some other experiments
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2014-12-22 14:35:37 -08:00 |
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79fffcce3c
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Better imagenet distributed training
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2014-12-11 13:15:26 -08:00 |
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a99050f0c8
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Some fixes to momentum
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2014-12-07 20:16:21 -08:00 |
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28e2115272
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Distributed training
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2014-12-07 00:41:26 -08:00 |
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d407bffde9
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checkpoint
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2014-11-18 13:51:04 -08:00 |
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b13ad6d5fd
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Can validate on imagenet now
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2014-11-05 14:49:58 -08:00 |
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1c0fd9bb47
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im2col slightly faster
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2014-10-29 23:26:41 -07:00 |
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14303717dc
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Fast, needs to be faster
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2014-10-25 11:57:26 -07:00 |
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158bb1bee9
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softmax on gpu
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2014-10-21 14:49:18 -07:00 |
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9b3c7136f3
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Fixing up maxpool layer
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2014-10-16 15:17:23 -07:00 |
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7756cccb79
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Refactored connected to use blas
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2014-10-13 22:31:48 -07:00 |
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787d534560
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Convolutional working on GPU
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2014-10-13 00:31:10 -07:00 |
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7add111509
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maxpool fixed, good on mnist
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2014-08-09 08:16:37 -07:00 |
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d9f1b0b16e
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probably how maxpool layers should be
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2014-08-08 12:04:15 -07:00 |
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1b94df24fd
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Midway through lots of fixes, checkpoint
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2014-07-17 09:05:07 -07:00 |
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70d622ea54
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Added batch to col2im, padding option
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2014-07-13 22:07:51 -07:00 |
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cd8d53df21
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So there WAS this huge bug. Gone now
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2014-05-09 15:14:52 -07:00 |
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00d483697a
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Small updates
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2014-04-30 16:17:40 -07:00 |
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2ea63c0e99
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Better VOC handling and resizing
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2014-03-12 21:57:34 -07:00 |
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