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It wasn't successful. It seems that it's more important for the algorithms to be emberassingly parallel and so work on big data than to be flexible.
by xiphias2 7y ago
It wasn't successful.
It seems that it's more important for the algorithms to be emberassingly parallel and so work on big data than to be flexible.
- mruts 7y agoWhat exactly does that have to do with machine learning and neural networks?
- deleted 7y ago[deleted]
- scubbo 7y ago> emberassingly parallel What is embarrassing about being parallelizable?
- icedchai 7y agoSee https://en.wikipedia.org/wiki/Embarrassingly_parallel https://en.wikipedia.org/wiki/Embarrassingly_parallel