I see lots of people stating unequivocally that the deep learning boom started with Krizhevsky et al 2012. But I see little credit given to Ciresan et al, who were winning image classification competitions in 2011 with deep convnets implemented in CUDA, trained on NVIDIA GPUs
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I'm referring to the German Traffic Sign Recognition Benchmark at IJCNN 2011, and the ICDAR 2011 Chinese Handwriting Recognition Competition - refs: http://www.nlpr.ia.ac.cn/events/HRcompetition/ICDAR2011%20CHR%20Competition%20Final.pdf … - http://people.idsia.ch/~juergen/nn2012traffic.pdf …
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I remember asking Dan Ciresan about his thoughts on Torch7, back in 2014 -- I was a Torch user at the time. He said, in essence, that he thought it was an unusable pile of bugs, and that he still preferred writing his own CUDA. I disagreed with his position at the time (still do)
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