Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator.
Martin FeriancZhiqiang QueHongxiang FanWayne LukMiguel RodriguesPublished in: FPT (2021)
Keyphrases
- recurrent neural networks
- field programmable gate array
- neural network
- feed forward
- bayesian networks
- recurrent networks
- echo state networks
- reservoir computing
- complex valued
- neural model
- cascade correlation
- artificial neural networks
- embedded systems
- maximum likelihood
- nonlinear dynamic systems
- feedforward neural networks
- long short term memory
- parallel implementation
- hardware architecture
- application specific
- hebbian learning
- bayesian inference
- probability distribution
- long term
- decision making
- machine learning