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| author | Determinant <[email protected]> | 2016-05-08 12:09:17 +0800 |
|---|---|---|
| committer | Determinant <[email protected]> | 2016-05-08 12:09:17 +0800 |
| commit | 3c421a02f09709f56ea6dff628d883cbfe5aa20f (patch) | |
| tree | 2484f0677c252f93b57e965eb6a8053fd28e11d7 | |
| parent | 3101d1f9c1b2e31fbde75c1c9de5f6872340f5f7 (diff) | |
| -rw-r--r-- | tutorial/howto_pretrain_from_kaldi.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tutorial/howto_pretrain_from_kaldi.rst b/tutorial/howto_pretrain_from_kaldi.rst index 2e8d674..61e2354 100644 --- a/tutorial/howto_pretrain_from_kaldi.rst +++ b/tutorial/howto_pretrain_from_kaldi.rst @@ -89,14 +89,14 @@ How to Use a Pre-trained nnet Model from Kaldi :: - <nerv_home>/install/bin/nerv <nerv_home>/nerv/examples/asr_trainer.lua timit_mybaseline.lua + <nerv_home>/install/bin/nerv <nerv_home>/nerv/examples/trainer.lua timit_mybaseline.lua (at ``<timit_home>``). - ``<nerv_home>/install/bin/nerv`` is the program which sets up the NERV environment, - - followed by an argument ``<nerv_home>/nerv/examples/asr_trainer.lua`` which + - followed by an argument ``<nerv_home>/nerv/examples/trainer.lua`` which is the script you actually want to run (the general DNN training scheduler), |