Representation Learning

Catalog description

Description: This course introduces the field of representation learning, a key aspect of machine learning that focuses on automatically extracting data features, rather than manually crafting them. The course covers several modern deep learning techniques, such as neural networks, auto-encoders, attention, domain-specific representation learning tasks, contrastive learning, and knowledge distillation.