Mike J Innes
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a99bb03830
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gradients are slow
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2016-10-30 10:55:07 +00:00 |
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Mike J Innes
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ec1950b466
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.* in tf
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2016-10-30 10:54:55 +00:00 |
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Mike J Innes
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a1b1d87767
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update states references
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2016-10-30 01:58:39 +01:00 |
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Mike J Innes
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4d45ee1bb9
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length for iterators
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2016-10-30 01:18:20 +01:00 |
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Mike J Innes
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ce0cde0d2b
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tweaks
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2016-10-30 00:34:44 +01:00 |
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Mike J Innes
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1761e43bc4
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handle state in training
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2016-10-30 00:24:29 +01:00 |
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Mike J Innes
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605e3a9363
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don't rebatch batches
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2016-10-30 00:20:15 +01:00 |
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Mike J Innes
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06e37081d3
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consistent naming
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2016-10-30 00:19:57 +01:00 |
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Mike J Innes
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73ff5b4201
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batched training for char-rnn
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2016-10-29 23:36:39 +01:00 |
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Mike J Innes
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f0779fc77c
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beginning of char-rnn example
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2016-10-29 00:16:39 +01:00 |
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Mike J Innes
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ba78b99b86
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include that
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2016-10-29 00:16:24 +01:00 |
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Mike J Innes
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89c4a6df31
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this is no longer test code
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2016-10-29 00:13:32 +01:00 |
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Mike J Innes
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65e22210f6
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rename integration demo
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2016-10-29 00:13:11 +01:00 |
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Mike J Innes
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e807fc5c61
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batching demo
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2016-10-29 00:12:53 +01:00 |
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Mike J Innes
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8682052ffa
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remove old notebook
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2016-10-29 00:12:45 +01:00 |
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Mike J Innes
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4de16171db
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basic sequence model training
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2016-10-29 00:10:27 +01:00 |
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Mike J Innes
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d9abb8f0ce
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chunks util
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2016-10-28 21:47:57 +01:00 |
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Mike J Innes
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d9ed5676c2
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handle state on julia side
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2016-10-28 21:17:48 +01:00 |
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Mike J Innes
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e450a585b7
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handling of multiple outputs
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2016-10-28 20:50:27 +01:00 |
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Mike J Innes
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1c6eaece5d
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rename seqmodel
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2016-10-28 19:11:38 +01:00 |
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Mike J Innes
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102e09d14b
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tf recurrent models
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2016-10-28 17:14:57 +01:00 |
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Mike J Innes
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217e28653a
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tf cycle conversion error
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2016-10-28 17:12:19 +01:00 |
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Mike J Innes
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c5a64391a1
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use batching api
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2016-10-28 17:00:31 +01:00 |
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Mike J Innes
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2852dddf0f
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put this back
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2016-10-28 16:26:06 +01:00 |
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Mike J Innes
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8140c2312d
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todone
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2016-10-28 16:25:59 +01:00 |
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Mike J Innes
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d6eacf3375
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better handling for reused params
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2016-10-28 16:06:56 +01:00 |
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Mike J Innes
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740d868ef9
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tf.model refactor
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2016-10-28 15:13:58 +01:00 |
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Mike J Innes
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27aa2bf8d4
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graph support
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2016-10-28 15:13:43 +01:00 |
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Mike J Innes
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d42130b8cd
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fix for matmul
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2016-10-28 15:02:48 +01:00 |
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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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