CSC-447
BS
Neural Networks
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Objectives: Course focuses on fundamental concepts of artificial neural networks to solve supervised and unsupervised learning problems. It also focuses on understanding of the different types of neural network architectures as well as design and implementation of neural nets to solve variety of recognition problems.
Contents: Neural network concepts. Anatomy of a neural node. Types of neural network. Classification of learning algorithms. Single layer network model and multi-layer network and their limitations. Application of neural network.
In Programmes
BS
BS (Computer Science)
Electives Pool —
Elective ·
Artificial Intelligence (Fall 2026 onwards)
Taught By