2 ms·
>I would credit Moore's law for that instead. Really, if one can do e.g. affordable, real-time machine vision stuff today, it has more to do with CPUs and GPUs
by ramesh31 5y ago
>I would credit Moore's law for that instead. Really, if one can do e.g. affordable, real-time machine vision stuff today, it has more to do with CPUs and GPUs gaining power every year, than software getting better.
Not really. AlexNet was a watershed moment for computer science, and the kind of things that were possible by 2015 with AI that weren't possible in 2010 far outstrip the gains in hardware advancement during that time.
- dougabug 5y agoTrue. VGG models halved the ImageNet error rate of AlexNet two years after AlexNet, followed by ResNet models a little over a year later which halved the error rate again. Recent NAS generated models are up to 20x more computationally efficient than ResNet models of the same accuracy.