Explaining Grokking Through Circuit Efficiency
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Balancing Cross Entropy Loss and Weight Decay in Deep Learning Models
This chapter explores the tradeoff between increasing parameters for better performance and reducing parameters for better generalization in deep learning models. It also highlights the role of weight decay in promoting generalization over memorization.
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