A Little Energy Goes a Long Way: Energy-Efficient, Accurate Conversion from Convolutional Neural Networks to Spiking Neural Networks.
Dengyu WuXinping YiXiaowei HuangPublished in: CoRR (2021)
Keyphrases
- energy efficient
- energy consumption
- convolutional neural networks
- spiking neural networks
- wireless sensor networks
- energy efficiency
- sensor networks
- energy saving
- base station
- biologically inspired
- sensor nodes
- data dissemination
- multi hop
- spiking neurons
- multi core architecture
- battery powered
- data transmission
- cluster head
- routing protocol
- routing algorithm
- power consumption
- sensor data
- artificial neural networks