STT 460 - Statistical Deep Learning

Exploration of the synergy between deep learning and statistical learning principles emphasizing the integration of statistical foundations in the context of computer vision and pattern recognition applications, ensuring robust and interpretable outcomes. Provides practical experience in modeling high-dimensional real-world data, developing solutions that are predictive and grounded in statistical rigor.

Credit Hours: 3

Prerequisite Courses: STT450, or DSC301 and any introductory statistics course (STT 215 or STT 210 or STT 301 or PSY 225 or BAN 280), or Instructor Approval.
Crosslisting: Yes
Course Repeatability: Course may not be repeated.