Information Package / Course Catalogue
Introduction to Artificial Neural Networks
Course Code: EE465
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

It is aimed to give the theoretical and practical knowledge to the students about artificial neural networks.

Course Content

Basic Artificial Neural Networks, Statistical Pattern Recognition, Classification, Single Layer Networks, Multilayer Networks - Fault Backward Spreading Models, Radial Based Functions, Error Functions, Supervised learning, Python applications.

Name of Lecturer(s)