Advanced Deep Learning

Catalog description

This course covers advanced AI models, including Bayesian Neural Networks, Graph Neural Networks, and Transformers. Students will gain hands-on experience implementing and evaluating these models using PyTorch, Keras and other software, with a focus on uncertainty quantification and explainable AI. Practical applications include tabular, time-series, and image data.