About
This course covers efficient artificial intelligence theories and techniques for designing advanced machine learning models. The goal is to optimize architecture, implementation, performance, power, memory, and time. Students learn efficient AI theories, patterns in AI, critical pattern determination, AI complexity, AI optimization, large deep models, real-time inference, and practical applications.