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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/11/24 11:39:22 UTC

[GitHub] JWarlock opened a new issue #13391: Gluon: Per-layer learning rate for fine tuning a pretrained network

JWarlock opened a new issue #13391: Gluon: Per-layer learning rate for fine tuning a pretrained network
URL: https://github.com/apache/incubator-mxnet/issues/13391
 
 
   Hi!
   I want to train a pretrained model, for example, ResNet, where I want to limit the first two layers’ learning rate to lr/100, middle layers ’ learning rate to lr/10, and fully connected layers ’ learning rate to lr.
   I’ve only found implementation using native mxnet: https://github.com/apache/incubator-mxnet/issues/2242.
   But How to implement it using gluon and gluon.Trainer?

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