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ISYE-6870 - Introduction to Neural Networks
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< meta property = "og:description" content = "Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb’ s rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures." >
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Introduction to Neural Networks
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ISYE-6870
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Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb’ s rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures.
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3 credits
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Prereqs:
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none
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Past Term Data
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Offered as Cross-Listing Only
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No Term Data
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Simple View
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Detailed View
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< th class = "spring season-label" > Spring< / th >
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< th class = "summer2 midsum-label" > (Session 1)< / th >
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Intro To Neural Networks (3c)
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< ul class = "prof-list" >
< li > Mark J Embrechts< / li >
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Seats Taken: 6/30
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Intro To Neural Networks (3c)
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< li > Mark J Embrechts< / li >
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Seats Taken: 3/30
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Intro To Neural Networks (3c)
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< li > Mark J Embrechts< / li >
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Seats Taken: 7/30
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Intro To Neural Networks (3c)
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< li > Mark J Embrechts< / li >
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Seats Taken: 11/30
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