Pruning Insights
Sayak expresses optimism about the future of pruning in neural networks, highlighting its effectiveness in practical deployment scenarios. The discussion delves into the challenges of lifelong learning, emphasizing the importance of careful weight transfer between tasks to avoid catastrophic forgetting and disruptions in neural network pathways.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Sayak Paul
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