The repository hosts materials for a graduate-level applied deep learning course including lecture notes, YouTube playlists, and references to an arXiv paper. The curriculum covers topics such as training deep neural networks, computer vision (image classification with large and small networks), and uses frameworks like TensorFlow and PyTorch. Students are expected to have backgrounds in probability, statistics, and numerical linear algebra.