Neural Architecture Search Part I - Lecture 7
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
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
Optimisation Stochastique ÉvolutionnaireUniversité de Strasbourg via France Université Numerique Genetic Algorithms in Python and MATLAB
Udemy Optimization with Python: Solve Operations Research Problems
Udemy NeuroEvolution of Augmenting Topologies and Compositional Pattern Producing Networks
Aleksa Gordić - The AI Epiphany via YouTube POET - Paired Open-Ended Trailblazer - Paper Explained
Aleksa Gordić - The AI Epiphany via YouTube