Delve deeper into the world of computer vision! This advanced course builds upon your understanding of convolutional neural networks and propels you into cutting-edge topics. Explore the power of vision transformers, unlock the potential of generative AI for creating realistic imagery, and master the fascinating world of diffusion models. This course equips you to tackle the latest advancements in computer vision and push the boundaries of the field.
Instructor
Dr. Felix Gonda
Assistant Professor, Computer Science
E-mail: uoj.tinyml@gmail.com
Meeting: Click her to schedule a meeting
The Github repository of the book can be accessed by clicking on the image above or clicking here...
Lectures and Laboratory
Tuesdays and Thursday: 2pm-4pm
Location: The new UoJ Computer Laboratory
Prerequites
- Linear Algebra: Background in matrices, vectors, and linear equations will come handy when you design models for classification, regression, etc.
- Machine Learning: Some experience writing TensorFlow/Keras code is required. This can be acquired either through CCS417 or CCS514.
