Neural Architecture Search - Part I

Explore the fundamentals of Neural Architecture Search (NAS) in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Delve into the first part of NAS, guided by Professor Song Han, as he covers key concepts and techniques in this cutting-edge field. Learn about the importance of automated machine learning model design and how NAS can optimize neural network architectures for improved performance and efficiency. Gain insights into various NAS methods, their applications, and challenges in the evolving landscape of AI and machine learning. Access accompanying slides for enhanced understanding and visual aids. This 1-hour 14-minute Zoom recording offers valuable knowledge for students, researchers, and professionals interested in advancing their understanding of efficient machine learning techniques and neural network optimization.