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Found 2 papers, 1 papers with code
WeightScale: Interpreting Weight Change in Neural Networks
Interpreting the learning dynamics of neural networks can provide useful insights into how networks learn and the development of better training and design approaches.
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
Understanding the per-layer learning dynamics of deep neural networks is of significant interest as it may provide insights into how neural networks learn and the potential for better training regimens.
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