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About UT Dallas Syllabus For cgs3342.501.08f Taught by Richard Golden (Golden)
This document provides a course syllabus for a Cognitive and Neural Modeling Lab course taking place in the fall 2008 semester. The course will cover the basic theory of artificial neural networks through hands-on lab work using simulation software. Students will learn about different neural network algorithms like auto-associative, associative, competitive learning, recurrent, and backpropagation networks. The goals are for students to understand how these models relate to experimental psychology, neuroscience, and applications. Students will complete homework assignments, maintain a lab notebook, and present on a neural network application. The syllabus outlines the schedule of lectures, assignments, and two exams.
Detailed Information
| Author: | ["UT Dallas Provost's Technology Group"] |
|---|---|
| Publication Year: | 2010 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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