Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.
Omran Al-ShammaMohammed Abdulraheem FadhelRabab Alaa HameedLaith AlzubaidiJinglan ZhangPublished in: ISDA (1) (2018)
Keyphrases
- convolutional neural networks
- field programmable gate array
- convolutional network
- hardware implementation
- embedded systems
- image processing algorithms
- high speed
- parallel computing
- fpga implementation
- ensemble methods
- real time
- software implementation
- computing systems
- signal processing
- hardware architecture
- hardware architectures
- low power consumption
- low cost
- boosting algorithms
- adaboost algorithm
- parallel implementation
- single chip
- ensemble learning
- real time image processing
- feature selection
- verilog hdl
- fpga technology
- massively parallel
- hardware software
- hardware design
- combining multiple
- learning algorithm
- machine learning