Introduces students to state-of-the-art deep learning techniques employed in the industry. This course will focus on training neural networks and computer vision, including image classification and transformation, object detection, and facial recognition. Advanced topics will include domain adaptation and learning techniques. There will be an emphasis on reading current literature. Recommended prerequisite:probability (equivalent to APPM 3570), statistics (equivalent to STAT 3400), some familiarity with numerical analysis, solid knowledge of Python, and familiarity with TensorFlow and PyTorch is a plus but is not a requirement. Same as STAT 4350.
instructor(s)
Portilla, Jesus Ivan
Primary Instructor
- Fall 2024 / Spring 2025 / Fall 2025 / Spring 2026
