Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-62783988
@debasish83 I agree, such setup will not fit into the memory of a singe
node. Are you talking about recommender system? As far as I know, they are
usually addressed by different models and algorithms rather than ANN and
back-propagation. Could you suggest other problems with such a big model size
that are usually solved with ANN? Probably, the data should have millions of
features, such as weather forecasting. Just wondering...
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