A Low-cost Artificial Neural Network Model for Raspberry Pi
In this paper, a ternary neural network with complementary binary arrays is proposed for representing the signed synaptic weights. The proposed ternary neural network is deployed on a low-cost Raspberry Pi board embedded system for the application of speech and image recognition. In conventional neu...
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2020-04-01
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| Series: | Engineering, Technology & Applied Science Research |
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| Online Access: | https://etasr.com/index.php/ETASR/article/view/3357 |