Natural Language Processing and Computer Vision

3 credits · Undergraduate

Applied algorithmic perspective on Natural Language Processing (NLP) and Computer Vision (CV). Emphasis on real-world engineering applications such as voice-controlled systems, smart inspection, document intelligence, and embedded vision. Domain-specific models using PyTorch or TensorFlow with deployment on edge platforms. No credit for students who have earned credit for ECE 5605. Prerequisites: CS 1100, 1101, 1105, or DS 1100; ECE/CS 2123 or ECE/CS 2281 or ME 2171 or BME 2900W or DS 3100 or CE 2200 or CHBE 2250. [3]