Accurate and compact convolutional neural network based on stochastic computing
Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in many recognition problems. However, CNN models are computation-intensive and require enormous resources and power, limiting their applicability in embedded systems with limited area and power budget. An alternative computin...
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Main Authors: | , , , |
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Format: | Article |
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Elsevier B.V.
2022
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Online Access: | http://eprints.utm.my/103390/ http://dx.doi.org/10.1016/j.neucom.2021.10.105 |
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