Dive into advanced concepts of pruning and sparsity in machine learning with this comprehensive lecture from MIT's 6.5940 course. Explore cutting-edge techniques for optimizing neural networks, led by Professor Song Han. Learn about the latest developments in model compression, sparse architectures, and efficient deep learning algorithms. Gain insights into practical applications of pruning methods and their impact on model performance. Access accompanying slides for enhanced understanding of the material presented in this 69-minute Zoom recording, part of the EfficientML.ai series at MIT HAN Lab.
Overview
Syllabus
EfficientML.ai Lecture 4 - Pruning and Sparsity Part II (MIT 6.5940, Fall 2024, Zoom recording)
Taught by
MIT HAN Lab
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Pruning and Sparsity in Machine Learning - Lecture 3
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Pruning and Sparsity in Machine Learning - Part II (EfficientML.ai Lecture 4)
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Pruning and Sparsity in Machine Learning - Part II - Lecture 4
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Pruning and Sparsity in Machine Learning - Part I
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Pruning and Sparsity in Machine Learning - Part II - Lecture 4
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Pruning and Sparsity in Machine Learning - Part I (EfficientML.ai Lecture 3)
