Covers convolutional neural networks for object recognition, recurrent neural networks for video modeling, generative adversarial networks for image generation and translation, and attention models and their applications. Course Information: Prerequisite(s): CS 251; and MATH 310 or MATH 320; or consent of the instructor. Recommended background: CS 412 or CS 415 or CS 512 or CS 515.