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Is it possible to take quantity in DeepLearning?
It is possible to take a computer with six GeForce GTX 1050 Ti cards. Used for mining, planned to be used for experiments with machine learning.
The cards, as I looked at this graph, are not the most productive, but maybe the number will decide here?
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Actually, naively, it seemed to me that in DeepLearning you need to take it with your head.
But, if you know what you need as many as six cards for, if you know how to parallelize algorithms analytically, programmatically and technically, then you can achieve something in quantity. There would be an understanding - what exactly. And people achieve something on one such card, and even without any video cards they get interesting results.
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