CSC-460
BS
Introduction to Deep Learning
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Objectives: Machine learning and deep neural networks, backpropagation gradient descent, regularization, hyperparameter tuning, CNNs, transfer learning, and autoencoders.
Contents: Neural network and machine learning basics, multilayer networks, training a neural network, activation functions, gradient descent, deep neural network, learning algorithms, regularization and optimizations, hyperparameter tuning, Convolutional Neural Networks and their applications, automated feature learning, object detection and recognition, transfer learning, unsupervised learning, autoencoders.
In Programmes
BS
BS (Computer Science)
Electives Pool —
Elective ·
Artificial Intelligence (Fall 2026 onwards)