Mike J Innes
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1a726033f4
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do this properly
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2016-10-26 15:49:35 +01:00 |
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Mike J Innes
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d5d7242c53
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export unroll
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2016-10-26 15:37:30 +01:00 |
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Mike J Innes
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0ad569596b
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tf reorg
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2016-10-26 14:25:10 +01:00 |
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Mike J Innes
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82d69757c7
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BatchSeq convenience alias
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2016-10-26 12:37:48 +01:00 |
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Mike J Innes
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823792bc19
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unrolled type
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2016-10-26 11:57:03 +01:00 |
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Mike J Innes
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2a58b23085
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more interesting recurrent model
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2016-10-26 11:34:17 +01:00 |
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Mike J Innes
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652c26728e
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better loop lifting semantics
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2016-10-26 11:19:45 +01:00 |
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Mike J Innes
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42b50c976a
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fix unrolling
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2016-10-26 00:49:32 +01:00 |
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Mike J Innes
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ba60c4596b
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graph op fixes
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2016-10-26 00:39:16 +01:00 |
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Mike J Innes
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eb78f67a93
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refactor input model
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2016-10-25 23:10:35 +01:00 |
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Mike J Innes
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10761a4bee
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update for flow
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2016-10-25 22:28:30 +01:00 |
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Mike J Innes
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734b77e5eb
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test on 0.5 only
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2016-10-25 21:37:43 +01:00 |
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Mike J Innes
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83c4aa41a2
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fix travis.yml
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2016-10-25 21:35:02 +01:00 |
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Mike J Innes
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91a62a04bc
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update for flow exports
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2016-10-25 21:32:51 +01:00 |
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Mike J Innes
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14e4117837
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basic unrolling
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2016-10-25 21:10:04 +01:00 |
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Mike J Innes
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1fde7b4615
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preserve default values for hidden states
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2016-10-25 19:10:26 +01:00 |
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Mike J Innes
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dea85df8b7
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use param object rather than named input
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2016-10-25 17:57:20 +01:00 |
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Mike J Innes
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ee0c5ae14e
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remove mxnet for now
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2016-10-25 17:37:37 +01:00 |
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Mike J Innes
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18502158f0
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some form of testing
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2016-10-25 16:43:59 +01:00 |
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Mike J Innes
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d442dd8c5b
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use Float32 here
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2016-10-25 16:23:04 +01:00 |
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Mike J Innes
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a06145a145
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use new batching approach in TensorFlow
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2016-10-25 16:21:17 +01:00 |
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Mike J Innes
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46550e4863
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suspiciously similar seq data structure
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2016-10-25 14:10:49 +01:00 |
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Mike J Innes
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95b955246d
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export rawbatch
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2016-10-25 14:10:32 +01:00 |
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Mike J Innes
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7438ee6108
|
move convert method
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2016-10-25 14:10:27 +01:00 |
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Mike J Innes
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1847809e99
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batching refactor, nested batches
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2016-10-25 13:48:30 +01:00 |
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Mike J Innes
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183c3b0680
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batch tweaks
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2016-10-15 18:16:04 +01:00 |
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Mike J Innes
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6d53b7af47
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batch data structure
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2016-10-12 22:49:08 +01:00 |
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Mike J Innes
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b4390e6a23
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tighter
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2016-10-12 17:09:57 +01:00 |
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Mike J Innes
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af8001bdb8
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update notebook
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2016-10-12 17:07:56 +01:00 |
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Mike J Innes
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c9f9665e4e
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move batching logic
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2016-10-12 17:07:22 +01:00 |
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Mike J Innes
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69551caadb
|
tweak
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2016-10-12 16:30:45 +01:00 |
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Mike J Innes
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b115d8ce3f
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model -> net
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2016-10-12 16:28:16 +01:00 |
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Mike J Innes
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066ecafd71
|
readme tweaks
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2016-10-12 16:28:07 +01:00 |
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Mike J Innes
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bfb8d961e2
|
working mnist-conv example
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2016-10-10 23:48:25 +01:00 |
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Mike J Innes
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a56af5d16e
|
reshape layer
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2016-10-10 23:48:16 +01:00 |
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Mike J Innes
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438dc9d40a
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fix conv2d shape inference
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2016-10-10 23:20:40 +01:00 |
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Mike J Innes
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4961bf72af
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updates
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2016-10-10 23:04:26 +01:00 |
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Mike J Innes
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409c44d362
|
comments
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2016-10-04 22:50:49 +01:00 |
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Mike J Innes
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2a375c4eb2
|
non-working example
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2016-10-04 22:50:42 +01:00 |
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Mike J Innes
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45d30312b6
|
tf flatten
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2016-10-04 22:50:20 +01:00 |
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Mike J Innes
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bf04b70ad1
|
Float32 by default
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2016-10-04 22:36:56 +01:00 |
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Mike J Innes
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c646ba4483
|
initial conv example changes for TF
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2016-10-04 22:23:53 +01:00 |
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Mike J Innes
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9e9c57d49b
|
more TF support
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2016-10-04 22:23:37 +01:00 |
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Mike J Innes
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cc1ca4c3c2
|
Conv2D tweaks
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2016-10-04 22:23:26 +01:00 |
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Mike J Innes
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c709041d73
|
forward useful size method
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2016-10-04 22:23:10 +01:00 |
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Mike J Innes
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503265c964
|
example predictions
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2016-10-04 21:11:03 +01:00 |
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Mike J Innes
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2609d47ce9
|
work more nicely with TF batching
|
2016-10-04 21:10:50 +01:00 |
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Mike J Innes
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8335ab8134
|
sort-of working mnist example
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2016-09-29 21:28:53 +01:00 |
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Mike J Innes
|
a2aade718d
|
get basic training working
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2016-09-29 20:50:43 +01:00 |
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Mike J Innes
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9e35bcd4b7
|
remove demo code
|
2016-09-28 17:15:52 +01:00 |