TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.
Understanding and Training Deep Diagonal Circulant Neural Networks.arXiv Preprint arXiv:1901.10255, 2019
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Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning
TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.