Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-83273254
@debasish83 This seems worth a try although I need to better understand the
details. Could you elaborate on how are you going to distribute network layers
on the graph and what would be the main overhead during computation? Did you
think your about both data and model parallelization for different layers like
in Krizhevsky proposed http://arxiv.org/abs/1404.5997? It would be great to
have it instead of separate implementations. Also, the artificial neural
network primitives at which we are working right now could be reused. We might
want to discuss this by phone.
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