A High-speed and Low-power FPGA Implementation of Spiking Convolutional Neural Network Using Logarithmic Quantization.
Jiadong WuYinan WangLun LuChanglin ChenZhiwei LiPublished in: ICNC-FSKD (2023)
Keyphrases
- low power
- fpga implementation
- convolutional neural network
- high speed
- hardware implementation
- face detection
- field programmable gate array
- power consumption
- low cost
- real time
- vlsi architecture
- single chip
- frame rate
- low power consumption
- vlsi circuits
- logic circuits
- image processing algorithms
- computer vision
- neural network
- cmos technology
- image sensor
- mixed signal
- machine learning