Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Neural Architecture Search (Part II) - Lecture 8

MIT HAN Lab via YouTube

Overview

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.

Syllabus

Lecture 08 - Neural Architecture Search (Part II) | MIT 6.S965

Taught by

MIT HAN Lab

Reviews

Start your review of Neural Architecture Search (Part II) - Lecture 8

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.