Can Weight Decay Speed Grokking Convergence?
Introduction to Weight Decay and Grokking In the realm of deep learning, two essential concepts that warrant discussion are weight decay and grokking. Weight decay is a regularization technique employed in the training of neural networks. Its primary objective is to prevent overfitting, a scenario where the model learns noise and patterns that are not […]
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