📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks (2022)

First Author: Fan H

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tcad.2022.3160948

Publication URI: http://dx.doi.org/10.1109/tcad.2022.3160948

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Issue: 12