HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp. 1-1, 2018.

Cited by: 21|Views32


Deep convolutional neural networks (DCNNs) are one of the most promising deep learning techniques and have been recognized as the dominant approach for almost all recognition and detection tasks. The computation of DCNNs is memory intensive due to large feature maps and neuron connections, and the performance highly depends on the capabil...More



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