Deep Learning

An advanced course on deep learning, building from feed-forward networks, backpropagation, and training strategies for deep networks to convolutional networks, recurrent networks, and transformers. Students also study diffusion models and deep unsupervised learning, gaining hands-on exposure to PyTorch and other contemporary tools.