Ars Technica --------- Neural networks have a reputation for being computationally expensive. But only the training portion of things really stresses most computer hardware, since it involves regular evaluations of performance and constant trips back and forth to memory to tweak the connections among its artificial neurons. Using a trained neural network, in contrast, is a much simpler process, one that isn't nearly as computationally complex. In fact, the training and execution stages can be performed on completely different hardware. To learn more click on the picture below to read the article.
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