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Convnets on GPU predate CUDA: https://hal.inria.fr/inria-00112631/document …
Which is the bigger breakthrough, fast convnets on GPU, or the knowledge that they can win hotly contested image classification competitions?
The latter. But Convnets had the best results on a number of benchmarks before GPUs, and before traffic signs. It's just that the community didn't believe them or didn't think they were relevant. ImageNet changed that.
Were ICDAR / IJCNN actually hotly contested?
I also won an ML contest in 2011 with conv nets on GPU (NIPS transfer learning contest) but I’m not claiming that was the start of the deep learning boom
I don't think anyone is underestimating the significance of AlexNet in kick-starting the boom (obviously). But it's hard to deny that it was part of a trend at the time. Credit attribution is complex, and our community does not always do a great job at it.
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