Pruning and Sparsity in Machine Learning - Part I (EfficientML.ai Lecture 3)

Dive into the world of efficient machine learning with this comprehensive lecture on pruning and sparsity techniques. Explore cutting-edge strategies for optimizing neural networks as Prof. Song Han from MIT's HAN Lab guides you through the first part of this essential topic. Learn how to reduce model size and improve computational efficiency without sacrificing performance. Gain valuable insights into the theoretical foundations and practical applications of pruning methods in deep learning. Enhance your understanding of state-of-the-art approaches for creating leaner, faster models that can be deployed in resource-constrained environments. Access accompanying slides at efficientml.ai to reinforce your learning and follow along with the lecture content.