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authorDeterminant <[email protected]>2016-05-08 12:09:17 +0800
committerDeterminant <[email protected]>2016-05-08 12:09:17 +0800
commit3c421a02f09709f56ea6dff628d883cbfe5aa20f (patch)
tree2484f0677c252f93b57e965eb6a8053fd28e11d7 /tutorial/howto_pretrain_from_kaldi.rst
parent3101d1f9c1b2e31fbde75c1c9de5f6872340f5f7 (diff)
Diffstat (limited to 'tutorial/howto_pretrain_from_kaldi.rst')
-rw-r--r--tutorial/howto_pretrain_from_kaldi.rst4
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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),