Representation in Deep Learning

3 credits · Graduate School

Representation learning theory for deep learning. Variational Bayes, deep auto-encoder models, rate-distortion theory, Info-Max principles, contrastive learning, and rotating contemporary topics. Emphasis on mathematical foundations. [3]