CPEG 589XAdvanced Deep Learning

Catalog

The purpose of this course is to present the latest advancements in the field of Artificial Intelligence and Deep Learning. The topics covered include computer vision, reinforcement learning (RL), multi-agent reinforcement learning (MARL), variational inference and representation learning via Variation Auto Encoders (VAEs), generative adversarial networks (GANs), combination of VAEs and GANs in achieving zero and few shot learning, Adversarial machine learning, advanced architectures for Natural Language Processing including Transformer, BERT, ALBERT, RoBERTa, XLNET, REALM etc.. Several recent research papers will be explained in the lectures and a comprehensive research project will be assigned as part of the course.