| Course Code | Course Name | Credits | Hours |
|---|---|---|---|
| 3734009 | Applications of Artificial Neural Networks | 3.0 | 3 |
| Description | The main objective of this course is to introduce the fundamental theories, architectures, and applications of deep learning in the field of computer vision. Topics include classifiers (CNN, Transformer), object detection (YOLO), anomaly detection (EfficientAD, GLASS), GANs, and image-to-text models (CLIP). Through project-based learning, students will also gain an understanding of how existing neural network models are applied in the field of industrial engineering. | ||