Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

1 code implementation • 25 Nov 2019 • Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh

We show that conventional artificial neural networks (ANN) such as multilayer perceptron, convolutional neural networks, as well as the latest residual neural networks can be mapped successfully onto Shenjing, realizing ANNs with SNN's energy efficiency.