Energy Efficient Spin-Based Implementation of Neuromorphic Functions in CNNs
Convolutional neural networks (CNNs) offer potentially a better accuracy alternative for conventional deep learning tasks. The hardware implementation of CNN functionalities with conventional CMOS based devices still lags in area and energy efficiency. This has necessitated the investigations of unc...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Open Journal of Nanotechnology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10081384/ |