Energy-Efficient FPGA Implementation of Power-of-2 Weights-Based Convolutional Neural Networks With Low Bit-Precision Input Images.
Sai SanjeetBibhu Datta SahooMasahiro FujitaPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2023)
Keyphrases
- input image
- energy efficient
- fpga implementation
- convolutional neural networks
- wireless sensor networks
- energy consumption
- hardware implementation
- sensor networks
- power consumption
- energy efficiency
- depth map
- gray level
- routing protocol
- base station
- field programmable gate array
- transfer function
- data transmission
- sensor nodes
- real time
- transmission power
- multiresolution