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The Lottery Ticket Hypothesis with Jonathan Frankle

Machine Learning Street Talk (MLST)

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Exploring Sparsity in Neural Networks

This chapter explores the concept of sparsity in neural networks, analyzing its impact on architecture, learning processes, and the attention mechanism. It discusses the limitations of current hardware in managing sparse structures and examines the benefits and challenges of implementing sparsity in machine learning.

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