Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning

In three linesPaper proposes Two-Valued Symmetric Circulant Matrices (TVSCM) to drastically reduce neural network parameters. Achieves 80× parameter reduction (623k→7.8k on MNIST) with minor accuracy loss (97.6%→93.5%). Designed for edge computing and embedded systems.

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