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 2018/06/04 01:27:38 UTC

[GitHub] lu4 opened a new issue #11133: Manipulating nn.Dense(...) layer parameters

lu4 opened a new issue #11133: Manipulating nn.Dense(...) layer parameters
URL: https://github.com/apache/incubator-mxnet/issues/11133
 
 
   I'm trying to implement my own optimization algorithm for MxNet that does not rely gradients. My question is pretty simple is there a simple way to create new `nn.Dense(...)` layer initialized with parameters (i.e. Biases and Weights) represented by just two nd.array() instances?
   
   Thank you in advance!

----------------------------------------------------------------
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