| |
Dec 04, 2024
|
|
|
|
|
ECSE 6720 - Neural Network Computing
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
Add to Portfolio (opens a new window)
|
|
