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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/12/07 05:10:02 UTC

[GitHub] GYZHikari removed a comment on issue #3032: training accuracy is very high but validation accuracy is very low

GYZHikari removed a comment on issue #3032: training accuracy is very high but validation accuracy is very low
URL: https://github.com/apache/incubator-mxnet/issues/3032#issuecomment-445124591
 
 
   > @piiswrong ,yes, I used muti-GPU to train the model.
   Hey guys @leoxiaobin@piiswrong, I met the same problem using mxnet1.3.1, CUDNNv5.1. 
   I set fix_gamma=True for training, use multi-gpu and kvstore='local'. While training, the gamma changes all the time. However, when I test use the same code, the results look good.

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