Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-122026028
@Myasuka Thank you for your interest in the benchmark. The goal of the
benchmark is to measure the scalability of my implementation and to compare its
efficiency with the other tools, such as Caffe. I measure the time needed for
one epoch of batch gradient descent on a large network with ~12M of parameters.
I don't measure the convergence rate or the accuracy, because they are very
use-case specific and they don't show directly how scalable the particular
machine learning tool is. The benchmark could be improved though and I am
working on it, so thank you for your suggestion.
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