YoVDO

Neural Architecture Search - Part I

Offered By: MIT HAN Lab via YouTube

Tags

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

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

EfficientML.ai Lecture 7 - Neural Architecture Search (Part I) (MIT 6.5940, Fall 2023, Zoom)


Taught by

MIT HAN Lab

Related Courses

Machine Learning Modeling Pipelines in Production
DeepLearning.AI via Coursera
MLOps for Scaling TinyML
Harvard University via edX
Parameter Prediction for Unseen Deep Architectures - With First Author Boris Knyazev
Yannic Kilcher via YouTube
SpineNet - Learning Scale-Permuted Backbone for Recognition and Localization
Yannic Kilcher via YouTube
Synthetic Petri Dish - A Novel Surrogate Model for Rapid Architecture Search
Yannic Kilcher via YouTube