R2CNN: Recurrent Residual Convolutional Neural Network on FPGA.
Hiroki NakaharaZhiqiang QueAkira JingujiWayne LukPublished in: FPGA (2020)
Keyphrases
- convolutional neural network
- face detection
- hardware implementation
- field programmable gate array
- real time image processing
- low cost
- high speed
- feed forward
- recurrent neural networks
- neural network
- hardware architecture
- real time
- fpga implementation
- hardware design
- systolic array
- multi unit combinatorial auctions
- verilog hdl
- hardware architectures
- dedicated hardware
- low power consumption
- parallel architecture
- face recognition
- software implementation
- single chip
- computing systems
- power reduction
- parallel hardware
- embedded systems
- data acquisition
- back propagation
- fpga technology
- fpga hardware
- image processing