APPLIED DEEP LEARNING

Catalog description

The objective of this course is to democratize the popular field of artificial intelligence (AI) by designing deep learning architectures via open-source, popular, yet easy-to-use frameworks. The course covers the fundamentals of deep learning and best practices to develop state-of-the-art AI models to solve vision and sequence processing problems, as well as generative and adversarial techniques. Prerequisites: DATA6150 (3 credits) summer