melgor
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0995e86b7e
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Added Multi-GPU support #106
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2016-07-04 22:23:37 +02:00 |
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Brandon Amos
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2c6ddfba2d
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Training: Model: Use opt.imgDim.
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2016-06-16 20:12:21 -04:00 |
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Brandon Amos
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fea2fb41d8
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Resolve nan issues for #127 (hopefully)
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2016-06-13 13:50:38 -04:00 |
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Brandon Amos
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21f1bcc5c4
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Temporarily remove optimize_net for #127.
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2016-06-07 18:14:13 -04:00 |
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Brandon Amos
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66efcb706b
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Model: Use opt.imgDim for retraining
\cc @melgor
Ideally I should have made imgDim part of the model.
This works for now, but users training will need to be
careful about this size.
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2016-04-05 18:02:45 -04:00 |
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melgor
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bf6a466484
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Added optnet for reducing memory consumption
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2016-03-30 23:21:13 +02:00 |
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melgor
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7d21caf004
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Merge branch 'cudnn_convert' of https://github.com/melgor/openface into cudnn_convert
Conflicts:
training/model.lua
training/train.lua
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2016-03-16 16:15:05 +01:00 |
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melgor
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f63acb637e
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Replace nn_to_cudnn by cudnn.convert #106
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2016-03-16 15:38:06 +01:00 |
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melgor
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e2d7513ff5
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Replace nn_to_cudnn by cudnn.convert #106
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2016-03-11 11:09:23 +01:00 |
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Brandon Amos
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6409661f5f
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Remove unused fbnn dependency.
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2016-01-12 14:32:54 -05:00 |
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Brandon Amos
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0479d0e345
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Finish tensor size checks for #36.
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2016-01-11 16:44:50 -05:00 |
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Brandon Amos
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15cc5fef00
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Training: Add CPU execution for tests.
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2016-01-11 16:17:36 -05:00 |
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Brandon Amos
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697fac07c1
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Training: Output the number of model parameters.
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2016-01-08 11:18:44 -05:00 |
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Brandon Amos
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6246fada83
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Update code to nn4.v2 for #55.
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2016-01-07 18:28:11 -05:00 |
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Brandon Amos
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2769411d56
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Add @melgor's training improvements for #55
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2016-01-06 17:02:30 -05:00 |
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Brandon Amos
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e90694fcba
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nn4: Add LRN and remove 5x5 convolutions for #55.
Reduces the number of parameters from 7472144 to 6959088.
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2015-12-20 22:29:55 -05:00 |
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Brandon Amos
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bf38abe8f9
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Remove unused cudnn dependency.
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2015-12-17 09:04:46 -05:00 |
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Brandon Amos
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d8790408d1
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Initial commit of training code from development repo.
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2015-09-23 19:49:45 -04:00 |