Deep Learning

An advanced course on deep neural networks, from feed-forward models, backpropagation, and training strategies to convolutional, recurrent, and transformer architectures. Students also study deep reinforcement and unsupervised learning while gaining hands-on experience with the programming frameworks and libraries used in current practice.