The Symmetry That Breaks Neural Network Averaging
中文摘要
探讨深度学习中的置换对称性及其对权重平均和模型合并的影响。
English Summary
Exploring how permutation symmetry in deep learning impacts weight averaging and model merging.
Original Excerpt
Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging The post The Symmetry That Breaks Neural Network Averaging appeared first on Towards Data Science.