Dive into the second part of a comprehensive lecture on pruning and sparsity in machine learning, delivered by Prof. Song Han as part of MIT's 6.5940 course for Fall 2023. Explore advanced concepts and techniques in model compression, focusing on pruning strategies and sparsity implementation. Gain insights into cutting-edge methods for optimizing neural networks, enhancing efficiency, and reducing computational costs. Access accompanying slides at efficientml.ai for a deeper understanding of the material presented in this 1 hour and 18 minute session from the MIT HAN Lab.
Pruning and Sparsity in Machine Learning - Part II (EfficientML.ai Lecture 4)
MIT HAN Lab via YouTube
Overview
Syllabus
EfficientML.ai Lecture 4 - Pruning and Sparsity (Part II) (MIT 6.5940, Fall 2023)
Taught by
MIT HAN Lab
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