A Configurable Architecture for Running Hybrid Convolutional Neural Networks in Low-Density FPGAs.
Mário P. VéstiasRui Policarpo DuarteJosé T. de SousaHorácio C. NetoPublished in: IEEE Access (2020)
Keyphrases
- low density
- convolutional neural networks
- high density
- hardware software
- convolutional network
- management system
- real time
- polynomial neural networks
- fpga technology
- hardware design
- data sets
- hardware implementation
- multi layer
- fpga implementation
- software architecture
- network architecture
- data flow
- embedded systems
- parallel processing
- power consumption
- reconfigurable hardware
- expert systems
- data streams
- database