CIS 321 Introduction to Deep Learning
Course Description
This course introduces the fundamental concepts of deep learning with a focus on practical understanding and real-world relevance. Students will explore how deep learning models are built, trained, and applied across various domains, including image recognition, natural language processing, and recommendation systems. The course uses minimal mathematical formalism, instead emphasizing conceptual clarity, visual intuition, and interactive tools. Occasional math-focused sessions will cover only the most essential topics in a simplified manner to support understanding.
Cross Listed Courses
None
Prerequisite
None
Corequisite
None