YoVDO

Neural Architecture Search Part II - Lecture 8

Offered By: MIT HAN Lab via YouTube

Tags

Neural Architecture Search Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Reinforcement Learning Courses Evolutionary Algorithms Courses Hyperparameter Tuning Courses Model Compression Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into the second part of Neural Architecture Search in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Explore advanced concepts and techniques presented by Prof. Song Han as he builds upon the foundations laid in the previous session. Gain insights into cutting-edge methods for optimizing neural network architectures, enhancing model efficiency, and improving overall performance. Access accompanying slides from the EfficientML.ai website to reinforce your understanding of key topics covered in this 1-hour 16-minute session, essential for students and professionals seeking to master the intricacies of efficient machine learning design.

Syllabus

EfficientML.ai Lecture 8 - Neural Architecture Search Part II (MIT 6.5940, Fall 2024)


Taught by

MIT HAN Lab

Related Courses

Computational Neuroscience
University of Washington via Coursera
Reinforcement Learning
Brown University via Udacity
Reinforcement Learning
Indian Institute of Technology Madras via Swayam
FA17: Machine Learning
Georgia Institute of Technology via edX
Introduction to Reinforcement Learning
Higher School of Economics via Coursera