YoVDO

Neural Architecture Search Part I - Lecture 7

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 in this comprehensive lecture from MIT's 6.5940 course. Delve into the first part of a two-part series on this cutting-edge topic in machine learning, presented by Professor Song Han. Learn about the principles, techniques, and applications of Neural Architecture Search, a crucial aspect of designing efficient and effective neural networks. Gain insights into how this automated process can optimize model architectures for various tasks and constraints. Access accompanying slides for enhanced understanding and follow-up study. This recorded Zoom session offers a unique opportunity to engage with advanced concepts in efficient machine learning from a leading expert in the field.

Syllabus

EfficientML.ai Lecture 7 - Neural Architecture Search Part I (MIT 6.5940, Fall 2024, Zoom recording)


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