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November/December 2006 (vol. 8 no. 6)
pp. 4-8
Pam Frost Gorder, Freelance Writer
Twenty years ago, Geoffrey Hinton had an idea that was ahead of its time: to help computers learn from their mistakes. He wanted to create artificial neural networks that could learn to "see" images and recognize patterns through a kind of trial and error in a way that mimicked some models of human brain function. He and his colleagues developed the first practical method for training neural networks, but there was just one problem.
Index Terms:
artificial intelligence, machine learning, intelligent sytstems
Citation:
Pam Frost Gorder, "Neural Networks Show New Promise for Machine Vision," Computing in Science and Engineering, vol. 8, no. 6, pp. 4-8, Nov.-Dec. 2006, doi:10.1109/MCSE.2006.117
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