A Power Efficiency Enhancements of a Multi-Bit Accelerator for Memory Prohibitive Deep Neural Networks

Convolutional Neural Networks (CNN) are widely employed in the contemporary artificial intelligence systems. However these models have millions of connections between the layers, that are both memory prohibitive and computationally expensive. Employing these models on an embedded mobile application...

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Bibliographic Details

Published in:	IEEE Open Journal of Circuits and Systems
Main Authors:	Suhas Shivapakash, Hardik Jain, Olaf Hellwich, Friedel Gerfers
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Deep neural network AlexNet MobileNet SqueezeNet EfficientNet truncation
Online Access:	https://ieeexplore.ieee.org/document/9335311/