Hardware implementation of a convolutional neural network using calculations in the residue number system
Modern convolutional neural networks architectures are very resource intensive which limits the possibilities for their wide practical application. We propose a convolutional neural network architecture in which the neural network is divided into hardware and software parts to increase performance a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2019-10-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | http://computeroptics.ru/KO/PDF/KO43-5/430519.pdf |