Neural Networks (AIDI 1009)
Neural networks are computational models that utilize a series of algorithms or nodes which mimic the way the human brain functions. These nodes work together to process and identify relationships between complex data. Neural networks can self-learn or be trained by observing data sets. Students will learn how to prepare data, select and design a neural network, then test and make predictions using the network.
Credits:
| Credit Hours | Contact Hours | Lecture Hours | Lab Hours | Other |
|---|---|---|---|---|
3.000 |
42.000 |
|
|
|
[+] Prerequisites:
[+] Corequisites and Concurrent Prerequisite(s):
None
[+] Equivalents:
[-] Restrictions:
Must be enrolled in one of the following Levels:
Post Graduate
Must be enrolled in one of the following Majors:
(AIDI) Artificial Intelligence