%0 Conference Paper %1 GhaSam18ReBNet %A Ghasemzadeh, Mohammad %A Samragh, Mohammad %A Koushanfar, Farinaz %B 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) %D 2018 %K FPGA architecture binary deep_learning framework hardware quantization %P 57--64 %T ReBNet: Residual binarized neural network %U https://ieeexplore.ieee.org/abstract/document/8457633

@inproceedings{GhaSam18ReBNet, added-at = {2019-04-29T09:43:40.000+0200}, author = {Ghasemzadeh, Mohammad and Samragh, Mohammad and Koushanfar, Farinaz}, biburl = {https://www.bibsonomy.org/bibtex/2db8e74b098a217a9567eb8cde856b89a/loroch}, booktitle = {2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)}, interhash = {e3a4b274a25ae15bd29a2c3de6ee97b2}, intrahash = {db8e74b098a217a9567eb8cde856b89a}, keywords = {FPGA architecture binary deep_learning framework hardware quantization}, organization = {IEEE}, pages = {57--64}, timestamp = {2019-04-29T09:43:40.000+0200}, title = {ReBNet: Residual binarized neural network}, url = {https://ieeexplore.ieee.org/abstract/document/8457633}, year = 2018 }