Selected Topics in Deep Learning: 3 semester hours

Catalog description

This course will cover advanced topics in deep learning, such as Deep Transfer Learning, Generative Adversarial Nets, Deep Reinforcement Learning, and Adversarial Machine Learning. In addition, it will cover important use cases of various deep learning models. The course will also train students programming skills with Python and open-source deep learning software such as TensorFlow to gain hands-on experiences. Prerequisites: ELEG 6183 or ELEG 6318 .