Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)--dubbed "AlexNet" after its creator Alex Krizhevsky--that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.
Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)--dubbed "AlexNet" after its creator Alex Krizhevsky--that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.
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