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? [ Full content available at: https://github.com/apache/incubator-mxnet/issues/12553 ] This message was relayed via gitbox.apache.org for [email protected]
