Neural Architecture Search (Part II) - Lecture 8
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore neural architecture search techniques and their applications in this lecture from MIT's course on TinyML and Efficient Deep Learning Computing. Dive into hardware-aware neural architecture search, which considers hardware performance metrics like latency when designing neural network architectures. Learn about the joint optimization of hardware and neural architectures within a single search loop. Discover various applications leveraging neural architecture search, including the Once-For-All Network approach. Gain insights into efficient machine learning techniques for deploying powerful deep learning applications on resource-constrained devices such as mobile phones and IoT devices. Access accompanying slides and additional course materials to enhance your understanding of these cutting-edge concepts in efficient machine learning.