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A Mathematical Approach Towards Quantization of Floating Po..:
, In:
2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID)
,
Devnath, Joydeep Kumar
;
Surana, Neelam
;
Mekie, Joycee
- p. 177-182 , 2020
Link:
https://doi.org/10.1109/VLSID49098.2020.00048
RT T1
2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID)
: T1
A Mathematical Approach Towards Quantization of Floating Point Weights in Low Power Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9105498&Exemplar=1&LAN=DE A1 Devnath, Joydeep Kumar A1 Surana, Neelam A1 Mekie, Joycee YR 2020 SN 2380-6923 K1 Convolution neural network K1 energy-efficient neural network K1 MNIST K1 CIFAR10 K1 ImageNet K1 quantization K1 deep learning SP 177 OP 182 LK http://dx.doi.org/https://doi.org/10.1109/VLSID49098.2020.00048 DO https://doi.org/10.1109/VLSID49098.2020.00048 SF ELIB - SuUB Bremen
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