YoVDO

Neural Architecture Search - Part II - Lecture 8

Offered By: MIT HAN Lab via YouTube

Tags

Neural Architecture Search Courses Machine Learning Courses Deep Learning Courses Reinforcement Learning Courses Evolutionary Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore advanced concepts in Neural Architecture Search (NAS) through this comprehensive lecture from MIT's 6.5940 course. Delve into the second part of NAS, led by Professor Song Han, as part of the EfficientML.ai series. Learn about cutting-edge techniques for automating the design of neural network architectures, optimizing model performance, and improving efficiency. Gain insights into the latest research and practical applications of NAS in machine learning and artificial intelligence. Access accompanying slides for enhanced understanding and follow-along learning. Perfect for students, researchers, and professionals seeking to deepen their knowledge in efficient machine learning and neural network design.

Syllabus

EfficientML.ai Lecture 8 - Neural Architecture Search (Part II) (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