Study program: 122 Computer science

Degree: Master

Type of module: lectures, practical work

Lecturer: Senior lecturer Olha Chala

Language: English

Credit Points: 5 ECTS

Description:
This module explores the principles and practical applications of deep learning, focusing on advanced neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, and Transformer models. It covers essential topics, including feature extraction, sequential data processing, attention mechanisms, and optimization strategies. Students will develop skills in implementing, training, and deploying neural networks, enabling them to tackle real-world challenges in image processing, sequence modeling, and modern AI-driven solutions.