Graduate course on deep learning with artificial neural networks. Provides practical techniques for modeling image, video, text, and graph data with supervised, unsupervised, and reinforcement learning approaches. Includes instruction in the latest software frameworks. Graduate students only. Pre: 635 or concurrent.