You are viewing a plain text version of this content. The canonical link for it is here.

Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/01/12 16:54:17 UTC

[GitHub] rayjs commented on issue #6223: fine-tuning and freezing layers

rayjs commented on issue #6223: fine-tuning and freezing layers
URL: https://github.com/apache/incubator-mxnet/issues/6223#issuecomment-357293288
 
 
   @piiswrong 
   http://mxnet.incubator.apache.org/api/python/module/module.html#mxnet.module.Module
   In modules constructor I provide the list of parameters that are to be freezed(in `fixed_param_names`) in the new network.
   
   But what about the auxiliary variables from the old network that are copied to the new network. Are they going to be freezed as well during the training, such as moving mean and moving var of batch norm?
   
   Thank you.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services