Intel CEO Brian Krzanich affirmed at the 2017 Computer Electronics Show that “Moore’s Law is alive and well and flourishing.” Since its inception in the mid-20th century, neural networks’ ability to “think” has been changing our world at an incredible pace. Moore’s Law, which states that overall processing power for computers will double every two years, gives us a hint about the direction in which neural networks and AI are headed. It’s something that still falls in the challenge column,” observes Université de Montréal’s Yoshua Bengio in the article “The Rise of Neural Networks and Deep Learning in Our Everyday Lives.”īengio is referring to the fact that the number of neural networks can’t match the number of connections in the human brain, but the former’s ability to catch up may be just over the horizon.
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“Getting information from unlabeled data, we call unsupervised learning, is a very hot topic right now, but clearly not something we have cracked yet. There’s still a long way to go in the area of unsupervised learning. Unsupervised learning occurs when the network makes sense of inputs without outside assistance or instruction.
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Supervised learning provides the network with desired outputs through manual grading of network performance or by delivering desired outputs and inputs. Once you’ve structured a network for a particular application, training (i.e., learning), begins.
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