Επιταχυντής υλικού για spiking νευρωνικά δίκτυα
Spiking Neural Networks (SNNs) have gained attention in recent years as a potential solution for low-power embedded systems, as they offer a more energy-efficient alternative but also effective to classical Artificial Neural Networks (ANNs). SNNs differ from ANNs in that they incorporate the time f...
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Language: | Greek |
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2023
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Online Access: | https://hdl.handle.net/10889/25427 |