Radix-5 memristor crossbar CNN accelerator reaches 90.5% CIFAR-10 accuracy with 46% area reduction by using variable memristor counts and single-column signed weights.
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,
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Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars
Radix-5 memristor crossbar CNN accelerator reaches 90.5% CIFAR-10 accuracy with 46% area reduction by using variable memristor counts and single-column signed weights.