ECE 555 AI: Neural Networks I
Introduces approach for developing computing devices whose design is based on models taken from neurobiology and on notion of "learning." A variety of NN architectures and associated computational algorithms for accomplishing the learning are studied. Experiments with various of the available architectures are performed via a simulation package. Students do a major project on the simulator, or a special programming project. Also offered for undergraduate-level credit as ECE 455 and may be taken only once for credit.
Prerequisite
senior standing in ECE/CPE or CS, or graduate standing.