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Institution:
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Roberts Wesleyan University
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Subject:
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Description:
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The theoretical background for learning using neural networks and important issues in the applications of neural networks. Topics include perception, associative memory, multilayer networks, recurrent networks, learning and generalization capabilities, training algorithms, learning with prior knowledge, and examples in applications. Prerequisites/Corequisites: Prerequisite: familiarity with probability theory, linear algebra, and FORTRAN or C programming. When Offered: Offered on sufficient demand. Credit Hours: 3
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(585) 594-6000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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