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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/09/13 16:36:25 UTC

[GitHub] mariussoutier opened a new issue #12553: [Scala] Training differences between macOS and Ubuntu?

mariussoutier opened a new issue #12553: [Scala] Training differences between macOS and Ubuntu?
URL: https://github.com/apache/incubator-mxnet/issues/12553
 
 
   Tested this with both MXNet 1.2.1 and 1.3.0 Staging. I have the identical code and dataset to train a MLP and a CNN on image data. On my Mac (MBP Late 2013) it converges easily within 5-10 epochs to an accuracy of 80% using learning rate of `0.00001`. On my Dell laptop, using Ubuntu 18 and both with and without GPU, it essentially doesn't converge at all (accuracy around 1,6%).
   
   How is this possible?
   

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