Each of these layers shapes the light that reaches the one behind it, performing calculations in the process.
Credit: Ozcan Lab, UCLA
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.
From Ars Technica
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