CSCE 55603 — Introduction to Deep Learning
The course aims at understanding the fundamental of deep learning and its application in computer vision, natural language understanding and game theory. The course starts with basic multi layer perceptron and then moves towards other complicated models such as convolutional neural networks, recurrent neural networks, attention, and generative adversarial network models. The course will end with deep reinforcement learning. The course provides required steps for building deep learning models. Prerequisite: Computer Science Computer Engineering (CSCE) Graduate Standing. (Typically offered: Irregular)