Line attractors of coupled ring neural networks with block circulant weight matrix
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DOI: 10.1080/00207160.2019.1585825
Abstract: ABSTRACT The continuous attractors of neural networks with symmetric connection weights have been studied widely. However, most of the matrices are asymmetric. In this paper, the model is coupled by some subnetworks. The connection weight… read more here.
Keywords: neural networks; line; connection; block circulant ... See more keywords
STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2020.3030264
Abstract: The emerging edge intelligence requires low-cost energy-efficient neural network (NN) processors. Supporting various types of edge NN models leads to extra circuit overhead. Designing a unified NN processor with high energy/area efficiency is challenging. This… read more here.
Keywords: block circulant; processor; energy; frequency domain ... See more keywords